Daniel Lopez-Hernandez | Public Health | Research Excellence Award

Published on by Global Diseases Research

Dr. Daniel Lopez-Hernandez | Public Health | Research Excellence Award

Instituto de Seguridad y Servicios Sociales de los Trabajadores del Estado | Mexico

Dr. Daniel López-Hernández is a researcher affiliated with the Instituto de Seguridad y Servicios Sociales de los Trabajadores del Estado (ISSSTE), Mexico, with expertise rooted in applied medical and health sciences that support evidence-based public health and clinical practice. He has authored 16 peer-reviewed publications, which together have received 361 citations, reflecting the relevance and visibility of his work within the scientific community. With an h-index of 7, his research demonstrates consistent scholarly impact and influence. Dr. López-Hernández has collaborated with over 40 co-authors, highlighting strong interdisciplinary and international research engagement. His contributions address real-world health challenges, strengthening healthcare delivery systems and informing policy and clinical decision-making. Through sustained research productivity and collaboration, his work contributes to improving health outcomes and advancing medical knowledge with tangible societal benefit.

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Top 5 Featured Publications

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 an Associate Professor at the Tsinghua School of Medicine, Beijing, China, with established expertise in biomedical and translational medical research. The author has published 14 peer-reviewed documents indexed in Scopus, receiving 985 citations and achieving an h-index of 12, reflecting consistent scholarly impact. Research contributions are recognized internationally through collaboration with 36 co-authors across interdisciplinary teams, supporting innovation in medical science and evidence-based healthcare. Hu Jin’s work advances scientific understanding with practical relevance, contributing to improved research capacity, knowledge dissemination, and long-term societal benefits in health and medicine at both national and global levels.

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Top 5  Featured Publications

Raeesa Manjoo-Docrat | Infectious Diseases | Young Researcher Award

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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.

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.

Monica Bhutani | Public Health | Editorial Board Member

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Dr. Monica Bhutani | Public Health | Editorial Board Member

Associate Professor | Bharati Vidyapeeth’s College of Engineering | India

Dr. Monica Bhutani is a distinguished researcher and academician at Bharati Vidyapeeth’s College of Engineering, New Delhi, India, recognized for her extensive contributions to computer science, information technology, and interdisciplinary innovations in artificial intelligence (AI), Internet of Things (IoT), and secure computing. With over 52 publications and 108 citations across 77 documents, her research demonstrates a strong commitment to advancing digital intelligence frameworks, data security architectures, and sustainable technological systems. Her recent works, including studies on AI-IoT convergence for sustainable agriculture, information dissemination networks, and secure image encryption using optimized chaotic sequences, highlight her focus on developing smart, energy-efficient, and cyber-resilient systems that address modern digital and environmental challenges. Dr. Bhutani’s scholarly collaborations with over 140 co-authors worldwide reflect her global engagement and interdisciplinary outlook, fostering impactful research networks across academia and industry. Her authorship of the book “Development and Management of Eco-Conscious IoT Medical Devices” further underscores her vision for integrating technology with environmental and healthcare sustainability. With an h-index of 6, she has consistently contributed to the global dialogue on intelligent systems design, information security, and digital transformation. Dr. Bhutani’s academic and research pursuits exemplify excellence in engineering education and innovation, bridging scientific theory with practical solutions that enhance societal well-being through technology-driven sustainability, secure communication systems, and data-driven decision-making.

Profiles: Scopus | Google Scholar | ORCID

Featured Publications

1. Bhutani, M., Lall, B., & Agrawal, M. (2022). Optical wireless communications: Research challenges for MAC layer. IEEE Access, 10, 126969–126989. Cited by: 30

2. Goyal, R., Elawadhi, O., Sharma, A., Bhutani, M., & Jain, A. (2024). Cloud-connected central unit for traffic control: Interfacing sensing units and centralized control for efficient traffic management. International Journal of Information Technology, 16(2), 841–851. Cited by: 18

3. Bhutani, M., Lall, B., & Dixit, A. (2021). MAC layer performance modelling for IEEE 802.15.7 based on discrete-time Markov chain. IET Communications, 15(14), 1883–1896. Cited by: 14

4. Dr. Karthick Ganesan, D. M. B., Radhakrishnan, K., Manohar, K., & Bhutani, M. (2024). Automated dairy cow health monitoring and milking machine. US Patent 6,382,814. Cited by: 13*

5. Bhutani, M., Lall, B., & Agrawal, M. (2023). A novel energy-efficient adaptive superframe structure for OWC-based real-time bio-sensor networks. Peer-to-Peer Networking and Applications, 16(6), 3021–3031. Cited by: 10

Peter Asaga Mac | Infectious diseases | Best Researcher Award

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Dr. Peter Asaga Mac | Infectious diseases | Best Researcher Award 

Senior clinical research fellow | University Hospital Freiburg | Germany

Dr. Peter Asaga Mac is a dedicated researcher at Universitätsklinikum Freiburg, Freiburg im Breisgau, Germany, specializing in infectious and zoonotic diseases. His scientific work focuses on understanding the epidemiology, immune response, and transmission dynamics of emerging viral infections, particularly mosquito-borne diseases such as Chikungunya and Dengue. Through a combination of field-based studies, serological analyses, and molecular surveillance, Dr. Mac investigates how co-circulating arboviruses interact within populations and contribute to public health challenges in endemic regions, especially in Africa. His notable publication, “An Undetected Expansion, Spread, and Burden of Chikungunya and Dengue Cocirculating Antibodies in Nigeria” (Zoonotic Diseases, 2024), provides valuable insight into the unnoticed expansion of these viruses and their long-term implications for disease control strategies. Dr. Mac’s research is characterized by its translational value—bridging scientific discovery with actionable health interventions to improve epidemic preparedness and response. His collaborations with international scientists strengthen global efforts to monitor zoonotic threats and develop more resilient surveillance systems. Despite being an early-career researcher, his contributions are gaining recognition within the academic community. With 3 publications, 14 citations  and an h-index of 2, Dr. Mac’s growing academic footprint reflects his potential to make lasting contributions to infectious disease research, particularly in the areas of viral immunology, epidemiological modeling, and global health resilience. His commitment to evidence-based solutions continues to shape a better understanding of emerging diseases and their impact on human health worldwide.

Profiles: Scopus | ORCID | Google Scholar

Featured Publications

1. Chackalackal, D. J., Al-Aghbari, A. A. A., Jang, S. Y., Ramirez, T. R., Vincent, J., Joshi, A., et al. (2021). The Covid-19 pandemic in low- and middle-income countries: Who carries the burden? Review of mass media and publications from six countries. Pathogens and Global Health, 115(3), 178–187.
Cited by: 49

2. Mac, P. A., Suleiman, A. C., & Airiohuodion, P. E. (2019). High prevalence of hepatitis B virus infection among pregnant women attending antenatal care in Central Nigeria. Journal of Infectious Diseases and Epidemiology, 5(1), 068.
Cited by: 34

3. Mac, P. A., Asheadzi, H. F., Gideon, A., Thaker, P., & Airiohuodion, P. (2019). Prevalence of Plasmodium falciparum among Nigerians in Abuja and Central States: A comparative analysis of sensitivity and specificity using rapid diagnostic test and microscopy. International Journal of Tropical Diseases, 1, 014.
Cited by: 22

4. Mac, P. A., Kroeger, A., & Airiohuodion, P. E. (2019). Needs assessment of emergency medical and rescue services in Abuja/Nigeria and environs. BMC Emergency Medicine, 19(78), 8.
Cited by: 21

5. Mac, P. A., Airiohuodion, P. E., Yako, A. B., et al. (2022). The seroprevalence and hidden burden of chikungunya endemicity and malaria mono- and coinfection in Nigeria. International Journal of Environmental Research and Public Health, 19(15), 8896.
Cited by: 19