Swati Jayaram | Medicine | Best Researcher Award

Published on by Global Diseases Research

Best Researcher Award

Swati Jayaram
The Ohio State University

Swati Jayaram
Affiliation The Ohio State University
Country India
Scopus ID 57966951000
Documents 4
Citations 1
h-index 1
Subject Area Medicine
Event Global Diseases Research Awards

The Best Researcher Award recognizes scholarly achievement, research productivity, and meaningful contributions to scientific advancement. Swati Jayaram of The Ohio State University has developed an academic profile within the field of medicine through peer-reviewed publications and participation in scientific research activities. Her documented scholarly record demonstrates engagement with evidence-based investigation and knowledge dissemination within the biomedical sciences.[1]

Abstract

Swati Jayaram is affiliated with The Ohio State University and has contributed to the field of medicine through scholarly publications and academic research activities. Her documented research profile reflects participation in scientific investigations that support evidence-based understanding and clinical knowledge development. Available bibliometric indicators demonstrate a developing publication record with measurable citation activity. The Best Researcher Award recognizes individuals whose academic efforts contribute to scientific communication, research quality, and professional advancement. Based on available scholarly metrics and publication records, her work represents ongoing engagement in medical research and supports broader objectives associated with innovation, scientific inquiry, and academic excellence within healthcare-related disciplines.[1]

Keywords

Medicine, Medical Research, Academic Excellence, Scientific Publications, Healthcare Research, Evidence-Based Medicine, Scholarly Impact, Research Productivity, Best Researcher Award, Global Diseases Research Awards.

Introduction

Academic recognition programs play an important role in highlighting research achievements and encouraging continued scientific advancement. The Best Researcher Award acknowledges individuals who demonstrate commitment to scholarly investigation, publication quality, and professional contributions that strengthen knowledge development across scientific disciplines and healthcare-related research environments.[2]

Research Profile

Swati Jayaram is associated with The Ohio State University and maintains a documented research presence within the medical sciences. Bibliometric information available through Scopus indicates four indexed publications, one citation, and an h-index of one, reflecting an emerging scholarly profile supported by peer-reviewed academic contributions.[1]

Research Contributions

Research contributions associated with Swati Jayaram demonstrate participation in scientific inquiry relevant to medicine and healthcare. Through publication activities and collaboration within academic environments, her work contributes to the dissemination of knowledge, supports evidence-based understanding, and strengthens the broader framework of medical research and scholarly communication.[1]

Publications

The publication record indexed under the Scopus author profile demonstrates engagement with peer-reviewed scholarly dissemination. Publications contribute to academic visibility, facilitate scientific discussion, and provide measurable outputs that support the evaluation of research performance. Such outputs remain important indicators of sustained participation in scholarly activities.[1]

Research Impact

Research impact is commonly assessed through publication metrics, citation performance, and scholarly visibility. Available indicators associated with Swati Jayaram suggest developing influence within the academic literature. Citation activity, although limited in quantity, demonstrates that published work has entered the scientific record and contributed to ongoing scholarly engagement.[1]

Award Suitability

The Best Researcher Award evaluates research productivity, academic commitment, publication quality, and professional contributions. Based on documented scholarly activities, Swati Jayaram demonstrates characteristics aligned with the objectives of academic recognition programs. Her participation in medical research and scientific publication supports consideration within award frameworks focused on research excellence and scholarly achievement.[2]

Conclusion

Swati Jayaram’s academic profile reflects involvement in medical research, peer-reviewed publication, and scholarly communication. Her documented contributions, supported by indexed research outputs and citation activity, demonstrate engagement with scientific advancement. These characteristics align with the principles recognized by the Best Researcher Award and highlight ongoing participation in academic research initiatives.[1]

References

  1. Elsevier. (n.d.). Scopus author details: Swati Jayaram, Author ID 57966951000. Scopus.https://www.scopus.com/authid/detail.uri?authorId=57966951000
  2. Global Diseases Research Awards. (n.d.). Best Researcher Award and recognition framework.https://globaldiseases.org/
  3. Gillespie, M. L., Jayaram, S., Eisner, M., Sliemers, S., Pasley, K., McCoy, K., & Krivchenia, K. (2025). Edinburgh postnatal depression scale score elevation in caregivers of infants with cystic fibrosis. Pediatric Pulmonology, 60(1), e27364. https://doi.org/10.1002/ppul.27364
  4. Jayaram, S., Khuhro, A., Krivchenia, K., & Kalra, M. (2026). Frontal lobe epilepsy presenting as parasomnia in a child on BiPAP for severe obstructive sleep apnea. Sleep, 49(Supplement_1), A597. https://doi.org/10.1093/sleep/zsag091.1339

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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.

Tayebeh Roghani | Non-Communicable Diseases | Editorial Board Member

Published on by Global Diseases Research

Assist. Prof. Dr. Tayebeh Roghani | Non-Communicable Diseases | Editorial Board Member

Assistant Professor | Isfahan University of Medical Sciences | Iran

Assist. Prof. Dr. Tayebeh Roghanii is an accomplished researcher at the Isfahan University of Medical Sciences whose work has contributed significantly to advancing biomedical and public health knowledge. With a portfolio of 15 peer-reviewed publications and over 236 citations across 216 citing documents, she has established a strong scholarly presence marked by methodological rigor and interdisciplinary depth. Her research spans critical areas of medical science, reflecting a sustained commitment to improving clinical outcomes and informing evidence-based practice. Through collaborations with more than 40 co-authors, she has engaged in diverse scientific networks, enriching her work with multidisciplinary insights and contributing to broader scientific discourse. Her h-index of 7 underscores both the productivity and influence of her scholarship within the global research community. Roghani’s contributions demonstrate a focus on generating impactful evidence that supports better decision-making in healthcare systems, enhances disease understanding, and addresses emerging medical challenges. Her scientific output also reflects a dedication to mentoring and collaborative teamwork, reinforcing the importance of shared expertise in advancing health research. As her work continues to gain recognition, she stands out as a committed academic whose research provides meaningful societal value by informing clinical guidelines, shaping public health strategies, and strengthening the scientific foundation necessary for improving patient care and population health outcomes.

Profiles: ORCID | Scopus

Featured Publications

1. Ghomash Baf Zadeh, R., Roghani, T., Gladin, A., Katzman, W. B., Bokaee, F., & Adibi, P. (2025). Spinal‐Related Musculoskeletal Determinants of Functional Abdominal Bloating and Distension: A Narrative Review. Health Science Reports, 8(7).  Cited by 23.

2. Roghani, T., Allen, D. D., Gladin, A., Rahimi, A., Mehrabi, M., Rezaeian, Z. S., Farajzadegan, Z., & Katzman, W. B. (2024). The association between physical function and hyperkyphosis in older females: A systematic review and meta-analysis. Journal of Geriatric Physical Therapy, 47(2), 85-96.  Cited by 11.

3. Roghani, T., Gladin, A., Talebian, S., Khalkhali Zavieh, M., Niknam, H., & Katzman, W. B. (2022). Sagittal spinal mobility and back extensor muscle function in older females with age-related hyperkyphosis. Journal of Modern Rehabilitation, 16(2). https://doi.org/10.18502/jmr.v16i2.9306. — Cited by 1.

4. Mahmoodiaghdam, S., Nodehi, M., Aryanfar, H., Roghani, T., Baghban, A. A., & Khalkhali Zavieh, M. (2024). Investigating the difference between thoracic kyphosis and its mobility in community-dwelling older men and women. Journal of Modern Rehabilitation, 18(3), 310-316.

Assist. Prof. Dr. Tayebeh Roghani advances scientific understanding of musculoskeletal health, aging, and rehabilitation through evidence-based research and interdisciplinary collaboration. Her work strengthens clinical practice by generating insights that enhance functional outcomes and quality of life for diverse patient populations. She envisions a future where accessible, data-driven rehabilitation strategies improve global well-being.

Shiping Zhu | Medicine | Best Innovation Award

Published on by Global Diseases Research

Dr. Shiping Zhu | Medicine | Best Innovation Award 

Associate Chief Physician | The First Affiliated Hospital of Jinan University | China

Dr. Shiping Zhu is a highly accomplished materials scientist and polymer engineer whose influential research has significantly advanced the fields of smart materials, ionogels, elastomers, and membrane technologies. Affiliated with The Chinese University of Hong Kong, Shenzhen, he has built an extensive academic record, authoring more than 450 peer-reviewed publications and accumulating over 20,000 citations, reflecting his global impact and sustained scholarly contribution. His work consistently bridges fundamental chemistry with practical engineering, focusing on high-performance polymers, CO₂ capture materials, mechanoresponsive elastomers, and advanced adhesive systems. Recent publications highlight breakthroughs in armored polymer-fluid gels, fracture-resistant stretchable materials, high-loading MOF monoliths for gas separation, and ultra-strong ionogel adhesives—showcasing his leadership in designing materials with exceptional mechanical, environmental, and functional performance. Prof. Zhu’s research group actively collaborates with multidisciplinary teams worldwide, contributing to approximately 400 co-authored studies and driving innovations across chemical engineering, materials science, environmental technology, and energy applications. With an h-index of 76, his scholarly influence spans both theoretical and applied domains, shaping industrial practices in polymer manufacturing, smart adhesive development, impact-resistant materials, and sustainable separation technologies. His work on CO₂ capture frameworks and advanced reactor engineering supports global efforts toward carbon neutrality, while his innovations in adaptable and energy-dissipating elastomers have relevance in robotics, wearable electronics, and safety engineering. Prof. Zhu is also recognized for pioneering structural methodologies in ionogel design, mechanochromic materials, and touch-responsive polymer networks that enable next-generation sensing, damping, and protective systems. Through his sustained research excellence, extensive collaborations, and high-impact publications, Prof. Shiping Zhu continues to advance the scientific foundations and practical applications of modern polymer science, contributing meaningfully to technological progress and societal benefit.

Profiles: Scopus | Google Scholar | ORCID

Featured Publications

1. Qian, Y., Qiu, X., & Zhu, S. (2015). Lignin: A nature-inspired sun blocker for broad-spectrum sunscreens. Green Chemistry, 17(1), 320–324. Cited by: 541

2. Zhu, H., Yang, X., Cranston, E., & Zhu, S. (2016). Flexible and porous nanocellulose aerogels with high loadings of metal-organic framework particles for separations applications. Green Chemistry, —. Cited by: 474

3. Feng, W., Zhu, S., Ishihara, K., & Brash, J. L. (2005). Adsorption of fibrinogen and lysozyme on silicon grafted with poly(2-methacryloyloxyethyl phosphorylcholine) via surface-initiated atom transfer radical polymerization. Langmuir, 21(13), 5980–5987. Cited by: 447

4. Pan, H., Li, Y., Wu, Y., Liu, P., Ong, B. S., Zhu, S., & Xu, G. (2007). Low-temperature, solution-processed, high-mobility polymer semiconductors for thin-film transistors. Journal of the American Chemical Society, 129(14), 4112–4113. Cited by: 441

5. Feng, W., Brash, J. L., & Zhu, S. (2006). Non-biofouling materials prepared by atom transfer radical polymerization grafting of 2-methacryloyloxyethyl phosphorylcholine: Separate effects of graft density and chain length. Biomaterials, 27(6), 847–855. Cited by: 400

Dr. Shiping Zhu’s pioneering contributions to advanced polymers, ionogels, and functional materials are transforming next-generation manufacturing, environmental sustainability, and high-performance industrial applications. His work bridges fundamental polymer science with real-world impact, enabling safer, smarter, and more resilient materials for global technological advancement.

Amos Kipkorir Langat | Infectious Disease | Best Researcher Award

Published on by Global Diseases Research

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