Jin Hu | Public Health | Excellence in One Health Research

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Dr. Jin Hu | Public Health | Excellence in One Health Research 

Tsinghua School of Medicine | China

Dr. Jin Hu is a distinguished medical researcher at Tsinghua School of Medicine, Beijing, China, with recognized expertise in biomedical and clinical research. The work addresses complex health challenges and contributes to evidence-based medical advancement with relevance beyond national boundaries.

he scholarly record includes 14 Scopus-indexed research publications, demonstrating focused academic productivity. These studies reflect rigorous methodology and contribute meaningful insights to the medical and life sciences literature.

Research outputs have achieved 985 citations, highlighting strong visibility and influence within the global scientific community. This citation profile indicates the relevance and sustained use of the research by peers.

With an h-index of 12, the research portfolio shows consistent impact across multiple publications. This reflects both quality and durability of contributions in competitive research areas.

Active collaboration with 36 co-researchers supports interdisciplinary knowledge exchange. Such collaborative efforts enhance translational potential and promote positive societal and public health outcomes.

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Featured Publication

Raeesa Manjoo-Docrat | Infectious Diseases | Young Researcher Award

Published on by Global Diseases Research

Dr. Raeesa Manjoo-Docrat | Infectious Diseases | Young Researcher Award 

Lecturer | Univeristy of the Witwatersrand | South Africa

Dr. Raeesa Manjoo-Docrat is a developing scholar affiliated with the University of the Witwatersrand, Johannesburg, whose work contributes to the advancement of quantitative epidemiology and public health modelling in South Africa. Her research focuses on the development and application of spatial, age-stratified epidemiological models aimed at understanding disease transmission dynamics within heterogeneous populations. With four peer-reviewed publications and 27 citations, she has established a growing academic footprint supported by an h-index of 2, reflecting the early but significant influence of her work. Her recent open-access article in Heliyon (2025), which applies spatial modelling frameworks to the South African COVID-19 pandemic, exemplifies her commitment to integrating mathematical rigor with real-world public health challenges. Manjoo-Docrat has collaborated with multidisciplinary teams comprising epidemiologists, mathematicians, and public health scientists, enabling her to contribute to robust analytical frameworks and high-quality scientific outputs. These collaborations also highlight her ability to operate effectively within diverse research environments and to engage in evidence-based problem solving that supports both academic and policy-relevant outcomes. Her research sits at the intersection of infectious disease dynamics, health systems planning, and data-driven decision support, positioning her work within a globally relevant domain of applied epidemiology. Beyond academic metrics, her contributions have societal impact by informing approaches to epidemic preparedne  ss, guiding interventions for vulnerable demographic groups, and enhancing understanding of spatial disparities in health outcomes. Through her continued scholarship, Manjoo-Docrat aims to strengthen the integration of mathematical modelling into national and regional public health strategies, ensuring that data-informed insights contribute to improved health resilience and equitable disease control.

Profiles: Scopus | ORCID

Featured Publications

1. Manjoo-Docrat, R., Abdelatif, N., Holloway, J., Dudeni-Tlhone, N., Dresselhaus, C., Mbayise, E., … Makhanya, S. (2025). Spatial age-stratified epidemiological model with applications to South African COVID-19 pandemic. Heliyon, 11(11), e43171. https://doi.org/10.1016/j.heliyon.2025.e43171

2. Dresselhaus, C., Fabris-Rotelli, I., Manjoo-Docrat, R., Brettenny, W., Holloway, J., Thiede, R., Debba, P., & Dudeni-Tlhone, N. (2023). A spatial model with vaccinations for COVID-19 in South Africa. Spatial Statistics, 58, Article 100792. Cited by 2.

3. Manjoo-Docrat, R. (2022). A spatio-stochastic model for the spread of infectious diseases. Journal of Theoretical Biology, 533, 110943.  Cited by 16.

4. Fabris-Rotelli, I., Holloway, J., Kimmie, Z., Archibald, S., Debba, P., Manjoo-Docrat, R., … Potgieter, A. (2022). A Spatial SEIR Model for COVID-19 in South Africa. Journal of Data Science, Statistics, and Visualisation, 2(7), 14–45.  Cited by 5.

Qingju Zhang | Vaccines | Best Researcher Award

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Prof. Qingju Zhang | Vaccines | Best Researcher Award 

Researcher | Jiangxi Normal University | China

Prof. Qingju Zhang is a distinguished researcher at Jiangxi Normal University, China, recognized for her significant contributions to synthetic carbohydrate chemistry, glycoscience, and vaccine-related glycoconjugate development. With a portfolio of 44 peer-reviewed publications and over 870 citations across 632 citing documents, she has established a strong scholarly footprint marked by methodological innovation, collaborative strength, and impactful research outputs. Her work focuses on the chemical synthesis, structural modification, and functional exploration of complex oligosaccharides, especially those relevant to pathogenic bacteria such as Acinetobacter baumannii and Bordetella hinzii. Recent publications highlight her leadership in advancing direct glycosylation methods, visible-light-mediated stereoselective transformations, and halogen/hydrogen-bond-assisted activation strategies, reflecting her expertise in contemporary reaction design and mechanistic insight. Her research on carbohydrate-based vaccines exemplifies a translational vision aimed at developing effective immunogens targeting antibiotic-resistant bacterial pathogens. With an h-index of 16 and a network of over 110 international and interdisciplinary co-authors, she collaborates widely across chemistry, microbiology, and biomedical science communities, underscoring her role as a key contributor to global glycoscience research. In addition to pioneering synthetic methodologies, her work advances fundamental understanding of bacterial O-antigen structures and supports the design of next-generation vaccine candidates with potential societal benefits in infectious disease control. Through consistent scholarly productivity, rigorous experimental approaches, and high-impact publications in leading journals such as ACS Catalysis, Organic Letters, and JACS Au, Prof. Zhang continues to enrich the field of carbohydrate chemistry while fostering scientific collaborations that bridge basic research and biomedical application.

Profiles: Scopus | ORCID

Featured Publications

1. Wang, L., Chen, M., Zou, J., Wu, S., Guo, K., Liu, D., Liu, C., Wang, Z., Hansen, T., & Zhang, Q. (2025, August 15). Direct glycosylation of N,N-dimethyl amino sugars via halogen/hydrogen-bonding interactions. ACS Catalysis, 15, 14115–14126. 
Cited by: 1

2. Wang, L., Li, X., Duan, L., Liu, D., Qi, J., & Zhang, Q. (2025, June). Fragments synthesis of Acinetobacter baumannii ATCC 17961 O-Antigen. Synlett.

3. Zhang, Y., Liu, C., & Zhang, Q. (2025, May 23). Recent advances of carbohydrate-based vaccines against Acinetobacter baumannii. European Journal of Organic Chemistry.

4. Zhang, L., Zheng, Z., Zhang, Y., Wu, X., Tu, Y., Liu, C., Wang, Z., Wang, L., Yang, Y., & Zhang, Q. (2025, April 28). Chemical synthesis and antigenic evaluation of oligosaccharides of Bordetella hinzii O-Antigen containing unique amidated 2,3-diacetamido-2,3-dideoxy-alduronic acids. JACS Au, 5, 1903–1913. 
Cited by: 4

5. Wang, Z., Poveda, A., Zhang, Q., Unione, L., Overkleeft, H. S., van der Marel, G. A., & Codée, J. D. C. (2023, June 28). Total synthesis and structural studies of zwitterionic Bacteroides fragilis polysaccharide A1 fragments. Journal of the American Chemical Society. 
Cited by: 15

Fangfang Tao | Chikungunya Virus | Best Researcher Award

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Prof. Dr. Fangfang Tao | Chikungunya Virus | Best Researcher Award 

Zhejiang Chinese Medical University | China

Prof. Dr. Fangfang Tao is a dedicated researcher at Zhejiang Chinese Medical University whose work spans integrative medicine, public health, and translational biomedical science. With a portfolio of 35 peer-reviewed publications and over 380 citations, Dr. Tao has established a growing scholarly presence supported by an h-index of 11, reflecting consistent influence and research quality. Her contributions often integrate traditional Chinese medical principles with modern clinical and epidemiological approaches, advancing evidence-based understanding of disease mechanisms, therapeutic strategies, and patient-centered health outcomes. Dr. Tao’s collaborative record is extensive, with partnerships involving more than 100 co-authors across national and international institutions, demonstrating her commitment to interdisciplinary inquiry and global scientific engagement. Her work contributes meaningfully to emerging health challenges by prioritizing rigorous methodology, culturally relevant medical insights, and innovative therapeutic frameworks. Through her research, Dr. Tao aims to bridge traditional medical knowledge with contemporary biomedical science to enhance clinical practice, inform health policy, and promote accessible, effective care. Her scholarly achievements underscore not only a strong trajectory in academic research but also a broader societal impact, as her studies support improved diagnostic approaches, better-targeted interventions, and enhanced patient well-being across diverse populations.

Profiles: Scopus | Google Scholar

Featured Publications

1. Niu, N., Zhang, J., Zhang, N., Mercado-Uribe, I., Tao, F., Han, Z., Pathak, S., … (2016). Linking genomic reorganization to tumor initiation via the giant cell cycle. Oncogenesis, 5(12), e281.
Cited by: 169

2. Tao, F., Tian, X., Ruan, S., Shen, M., & Zhang, Z. (2018). miR‐211 sponges lncRNA MALAT1 to suppress tumor growth and progression through inhibiting PHF19 in ovarian carcinoma. The FASEB Journal, 32(11), 6330–6343.
Cited by: 92

3. Tao, F., Tian, X., Lu, M., & Zhang, Z. (2018). A novel lncRNA, Lnc-OC1, promotes ovarian cancer cell proliferation and migration by sponging miR-34a and miR-34c. Journal of Genetics and Genomics, 45(3), 137–145.
Cited by: 59

4. Tian, X., Tao, F., Zhang, B., Dong, J. T., & Zhang, Z. (2018). The miR‐203/SNAI2 axis regulates prostate tumor growth, migration, angiogenesis and stemness potentially by modulating GSK‐3β/β-catenin signal pathway. IUBMB Life, 70(3), 224–236.
Cited by: 42

5. Jiang, X., Cui, X., Xu, H., Liu, W., Tao, F., Shao, T., Pan, X., & Zheng, B. (2019). Whole genome sequencing of extended-spectrum beta-lactamase (ESBL)-producing Escherichia coli isolated from a wastewater treatment plant in China. Frontiers in Microbiology, 10, 1797.
Cited by: 34

LI Ruixiang | Epidemiology | Editorial Board Member

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Mrs. LI Ruixiang | Epidemiology | Editorial Board Member

Professor | Affiliated Hospital of Shandong Second Medical University | China

Mrs. Li Ruixiang is an emerging researcher whose work advances maternal–child health, neonatal nutrition, and early-life growth assessment through rigorous quantitative and engineering-informed methodologies. Her scholarship includes key contributions to understanding threshold effects of third-trimester maternal vitamin A status on neonatal ponderal index, published in Food Science & Nutrition, and the development of computer-assisted methods for evaluating early physical linear growth among small-for-gestational-age infants, featured in the Journal of Healthcare Engineering. These studies demonstrate her ability to integrate biomedical knowledge with advanced analytical approaches, generating evidence that supports more precise assessment of neonatal growth patterns and micronutrient-related developmental outcomes. Mrs. Li’s collaborative work with multidisciplinary teams—comprising nutritionists, paediatric clinicians, biomedical engineers, and public health experts—reflects her commitment to methodological innovation and translational research. Although still in the early stages of her academic career, she has contributed to a growing body of literature that strengthens global understanding of neonatal anthropometry, maternal nutrition, and data-driven modelling in child health. Her findings help inform clinical decision-making, contribute to improved detection of growth abnormalities, and support public health policies aimed at reducing early-life vulnerabilities. Through her focused research agenda and evidence-based analyses, Mrs. Li Ruixiang continues to build a research profile with meaningful societal relevance and potential for long-term impact on maternal and neonatal wellbeing.

Profiles: ORCID

Featured Publications

1. Ji, J., Cui, L., Ni, J., & Li, R. (2025). Threshold Effects of Third-Trimester Maternal Vitamin A on Neonatal Ponderal Index: A Segmented Regression Analysis of 442 Mother–Infant Pairs. Food Science & Nutrition.

2. Li, R., Yin, M., Cui, L., Zheng, R., & Malik Alazzam. (2021). Early Physical Linear Growth of Small-for-Gestational-Age Infants Based on Computer Analysis Method. Journal of Healthcare Engineering. Citations: 4

Through innovative analytical methods and population-level studies, the nominee illuminates critical nutritional thresholds that influence infant development. Their work strengthens scientific understanding and guides public health strategies that enhance early-life health across diverse communities.

Ashenafi Gebremarian | Public Health | Editorial Board Member

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Assoc. Prof. Dr. Ashenafi Gebremarian | Public Health | Editorial Board Member

Huazhong Agricultural University | China

Assoc. Prof. Dr. Ashenafi Gebremariam is an emerging scholar and academic professional at Huazhong Agricultural University, Wuhan, China, recognized for his early yet growing contributions to agricultural and veterinary sciences. His Scopus-indexed research portfolio includes two peer-reviewed publications supported by two citations, reflecting the initial stages of academic impact and the steady visibility of his work in global scholarly circles. With an h-index of 1, he demonstrates a developing research trajectory that is expanding through specialized studies in animal health, agricultural biotechnology, and related life-science disciplines. Dr. Gebremariam’s collaboration with at least eight co-authors signals his active engagement in multidisciplinary research environments and underscores his commitment to knowledge exchange, methodological rigor, and international scientific cooperation. His academic affiliation with a leading agricultural institution places him at the forefront of research aimed at enhancing food security, livestock productivity, and sustainable agricultural systems. Although his publication record is still in its formative phase, his contributions reflect a clear dedication to generating evidence-based insights that address societal needs, support innovation, and strengthen global agricultural resilience. As his research continues to evolve, Assoc. Prof. Dr. Gebremariam is positioned to expand his scholarly influence through high-quality publications, impactful collaborations, and continued advancement in the fields of veterinary and agricultural sciences.

Profiles: Scopus | ORCID

Featured Publications

1.Shi, Y., Peng, G., Gebremariam, A. A., Iqbal, M. M., Baghaei Daemi, H., Khan, M. A., Ullah, R., & Wang, D. (2024). Analytical insights, modulation and compositional dynamics of the feline gut microbiota: a review. Animal Diseases, Article 00140. Cited by: 2.

2. Fentie, T., Teshome, Y., Ayele, B., Molla, W., Fenta, N., Nigatu, S., Assefa, A., & Leta, S. (2018). Sero-epidemiological study of peste des petits ruminants in small ruminants in Amhara region, Ethiopia. Comparative Clinical Pathology, 27(4), 1029–1036. https://doi.org/10.1007/s00580-018-2697-2 — Cited by: 15.

3. Fentie, T., Fenta, N., Leta, S., Molla, W., Ayele, B., Teshome, Y., Nigatu, S., & Assefa, A. (2017). Sero-prevalence, risk factors and distribution of sheep and goat pox in Amhara Region, Ethiopia. BMC Veterinary Research, 13, Article 385. https://doi.org/10.1186/s12917-017-1312-0 — Citation count not reliably available from publicly accessible sources at this time

Assoc. Prof. Dr. Ashenafi Gebremariam advances veterinary and agricultural science through research that strengthens animal health, productivity, and sustainable livestock systems. His work contributes to improved disease understanding and supports innovations that enhance food security and the resilience of global animal agriculture.

Prince Kyere Dwaah | Public Health | Best Epidemiological Research Award

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Mr. Prince Kyere Dwaah | Public Health | Best Epidemiological Research Award

Assistant Veterinary Technologist | Akenten Appiah Menka University of Skills Training and Entrepreneurial Development | Ghana

Mr. Prince Kyere Dwaah is an emerging public health researcher and MPhil student at the Akenten Appiah-Menka University of Skills Training and Entrepreneurial Development (AAMUSTED), Ghana. With a background bridging public, animal, and community health, his work demonstrates a strong commitment to advancing zoonotic disease control and health education in underserved populations. His research contributions span clinical case documentation, community-based intervention studies, and immunological insights into host-pathogen interactions. Notably, his case report on a Suspected Outbreak of Sheep Pox in Techiman, Ghana underscores his engagement in veterinary epidemiology and rapid field response, while his study on The Role of Community-based Rabies Education in Promoting Preventive Health Behaviors highlights his focus on integrating health literacy into public health strategy. Through such works, Dwaah has fostered interdisciplinary collaborations across veterinary and public health sectors, contributing to the understanding of disease prevention and behavioral change communication. His interest in parasitic immunology, as reflected in his work on host defense mechanisms against worm infections, reveals his scientific curiosity and broader concern for global infectious disease challenges. With a growing body of publications in peer-reviewed journals and citations reflecting his emerging influence, he aspires to strengthen disease surveillance systems, improve health awareness, and promote sustainable health practices in sub-Saharan Africa. His scholarly endeavors embody the intersection of research, education, and community engagement, aligning with global goals for equitable and preventive healthcare.

Profiles: Google Scholar | ORCID

Featured Publications

1. Dwaah, P. K., Awua-Boateng, N. Y. A., Osei-Tutu, A., Akwei, M., & others. (2025). Suspected outbreak of sheep pox in Techiman, Ghana: A case report. Clinical Images and Medical Case Reports, 2(1), 1–3.

2. Dwaah, P. K., Ahmed, M., Amissah, P., Oppong, F. S., Lumor, P., Edze, P., & Sayibu, I. (2024). The role of community-based rabies education in promoting preventive health behaviors in Techiman: A case study on rabies sensitization. Journal of Health Education Research & Development, 12(5).

3. Dwaah, P. K., & Oppong, F. S. (n.d.). Unveiling host defense networks: Worm resistance mechanisms and mechanisms by which hosts resist worm infections

Through his research on zoonotic diseases and community-based health education, Dwaah Prince Kyere advances public health awareness and preventive strategies in Ghana. His work bridges veterinary science and human health, fostering resilient communities and contributing to global One Health initiatives.

Josiah Orji | Infectious Diseases | Best Researcher Award

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Mr. Josiah Orji | Infectious Diseases | Best Researcher Award

Student | Federal University of Technology | Nigeria                         

Mr. Josiah Orji is an applied mathematician specializing in differential equations, mathematical modeling, and numerical simulation, with a focus on biological and medical applications. He excels in translating complex biological processes into mathematical frameworks, conducting analytical and computational analyses, and preparing findings for publication. Currently pursuing an M.Tech. in Applied Mathematics (Distinction) at the Federal University of Technology, Akure, his dissertation explores the modeling and optimal control of malaria transmission dynamics with the impact of an effective vaccine. He holds a B.Tech. in Industrial Mathematics (First Class Honors) from the same university. His research has been published in peer-reviewed journals, emphasizing malaria and schistosomiasis modeling, and he possesses strong programming skills in MATLAB, Maple, and Python. A PTDF scholar and recipient of multiple academic awards, including the Prof. Reuben Olufenwa Ayeni Award and a NAMCUS Bronze Medal, Josiah has teaching experience at both pre-degree and secondary levels and has served in leadership roles such as President of the Watchman Catholic Charismatic Campus Fellowship. His research interests include mathematical biology, optimal control theory, computational mathematics, and data-driven approaches to disease modeling. He is proficient in LaTeX and web technologies (HTML, CSS, JavaScript), a member of professional bodies such as Black in AI and ResearchGate, and remains committed to advancing interdisciplinary research in mathematics, data science, and biomedical systems while mentoring future scientists through teaching, tutoring, and community engagement.

Profile: Google Scholar

Featured Publications

1. Orji, J. C., Yusuf, T. T., Afolabi, A. S., & Dawodu, K. A. (2025). Integrated malaria control: Impacts of vaccination and combined interventions on disease dynamics. Modeling Earth Systems and Environment, 11(6), 1–23

2. Chukwuebuka, O. J., Miswanto, M., & Sunday, A. A. (n.d.). Optimal control problems constrained by non-linear ordinary differential equations.

 

Lianfen Qian | Pandemic Preparedness | Best Researcher Award

Published on by Global Diseases Research
United States

Prof. Lianfen Qian | Pandemic Preparedness | Best Researcher Award

Professor | The University of Arizona | United States

Dr. Lianfen Qian is a distinguished biostatistician and Professor of Practice at the University of Arizona, with extensive expertise in developing and applying statistical methodologies to biomedical, environmental, and genomic research. She earned her B.S. and M.S. in Mathematics and Statistics from Zhejiang University, China, and her Ph.D. in Statistics from Michigan State University. Dr. Qian’s research focuses on survival analysis, longitudinal data modeling, semi-competing risks, and structural change detection. Her work has been widely published in leading journals such as Biometrika, Computational Statistics & Data Analysis, and Frontiers in Cellular and Infection Microbiology. A seasoned educator and mentor, she has guided numerous Ph.D. and M.S. students, with one of her mentees earning first place in the 2015 ASA/CAUSE Undergraduate Research Project Competition. She has also served in leadership roles for the American Statistical Association’s South Florida Chapter and contributed as an NSF panelist. Dr. Qian’s career includes academic appointments at Florida Atlantic University and Lynn University, along with her leadership of Mathematics and Data Science, LLC. Her numerous honors include the ASA Award for Outstanding Chapter Service, NSF travel and research awards, and recognition in Who’s Who in America. She has collaborated on research projects funded by the NSF, NCI, and DoD, and continues to contribute to advancing data-driven research and interdisciplinary science. (Document: Lianfen Qian,

Profiles: Scopus | ORCID | Google Scholar

Featured Publications

1. Heilmayer, O., Digialleonardo, J., Qian, L., & Roesijadi, G. (2008). Stress tolerance of a subtropical Crassostrea virginica population to the combined effects of temperature and salinity. Estuarine, Coastal and Shelf Science, 79(1), 179–185. Cited by 100.

2. Wang, S., Qian, L., & Carroll, R. J. (2010). Generalized empirical likelihood methods for analyzing longitudinal data. Biometrika, 97(1), 79–93. Cited by 78.

3. Koul, H. L., Qian, L., & Surgailis, D. (2003). Asymptotics of M-estimators in two-phase linear regression models. Stochastic Processes and Their Applications, 103(1), 123–154. Cited by 72.

4. Gan, W., Bragg, F., Walters, R. G., Millwood, I. Y., Lin, K., Chen, Y., Guo, Y., … (2019). Genetic predisposition to type 2 diabetes and risk of subclinical atherosclerosis and cardiovascular diseases among 160,000 Chinese adults. Diabetes, 68(11), 2155–2164. Cited by 71.

5. Xu, Y., Chen, B., Qian, W., & Li, H. (2013). Properties of pure n-butylammonium nitrate ionic liquid and its binary mixtures with alcohols at T = 293.15 to 313.15 K. The Journal of Chemical Thermodynamics, 58, 449–459. Cited by 70.

Amos Kipkorir Langat | Infectious Disease | Best Researcher Award

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Assist. Prof. Dr. Amos Kipkorir Langat | Infectious Disease | Best Researcher Award 

Senior Research Fellow | Jomo Kenyatta University of Agriculture and Techno | Kenya

Dr. Amos Kipkorir Langat, Ph.D., is a highly accomplished statistician, academic, and economist with expertise in Bayesian analysis, machine learning, spatial statistics, and public health modeling. He earned his Ph.D. in Mathematics (Statistics) from the Pan African University Institute for Basic Sciences, Technology and Innovation, his MSc. in Applied Statistics from Jomo Kenyatta University of Agriculture and Technology (JKUAT), and his BSc. in Economics and Mathematics from Kabarak University. Currently, he serves as a Lecturer at JKUAT and Senior Economist at the County Government of Bomet, with previous teaching roles at Maasai Mara and Kabarak Universities. His research spans statistical modeling of infectious diseases, HIV risk factors, maternal health, survival and time series analysis, and measurement error models. He has supervised MSc. and Ph.D. students across Africa, authored over 30 peer-reviewed publications, and contributed to journals such as Scientific African, Asian Journal of Probability and Statistics, and Annals of Medicine & Surgery. Dr. Langat has secured prestigious awards including the AU Ph.D. Scholarship and SICSS research funding, and he actively contributes as a reviewer and conference organizer. His technical expertise includes proficiency in R, Python, STATA, SAS, SPSS, WinBUGS/OpenBUGS, and advanced econometric tools. A member of the Royal Statistical Society, ISCB, IBS, and the Kenya National Statistical Society, he also demonstrates a strong commitment to community service through educational leadership roles. Dr. Langat exemplifies a dedicated scholar, mentor, and researcher advancing applied statistics in public health and beyond

Profile: Google Scholar | Scopus | Orcid

Featured Publications

1. Langat, A., Orwa, G., & Koima, J. (2017). Cancer cases in Kenya; forecasting incidents using Box & Jenkins ARIMA model. Biomedical Statistics and Informatics, 2(2), 37–48. Cited by: 21

2. Benki-Nugent, S. F., Martopullo, I., Laboso, T., Tamasha, N., Wamalwa, D. C., … [and others]. (2019). High plasma soluble CD163 during infancy is a marker for neurocognitive outcomes in early-treated HIV-infected children. JAIDS Journal of Acquired Immune Deficiency Syndromes, 81(1), 102–109. Cited by: 14

3. Mutinda, J. K., & Langat, A. K. (2024). Stock price prediction using combined GARCH-AI models. Scientific African, 26, e02374. Cited by: 10

4. Mutinda, J. K., & Langat, A. K. (2024). Modeling the impact of air pollution and meteorological variables on COVID-19 transmission in Western Cape, South Africa. International Journal of Mathematics and Mathematical Sciences, 2024(1), 1591016. Cited by: 5

5. Mutinda, J. K., & Langat, A. K. (2024). Capital asset pricing model: A renewed application on S&P 500 index. Asian Journal of Economics, Business and Accounting, 24(6), 226–239. Cited by: 4