Kaiming Zhang | Infectious Disease | Best Scientist in Chronic Infectious Diseases

Prof. Kaiming Zhang | Infectious Disease | Best Scientist in Chronic Infectious Diseases 

Professor | Shanxi Medical University | China

Prof. Kaiming Zhang is a researcher affiliated with Shanxi Medical University, Taiyuan, China, recognized for his expanding contributions to contemporary biomedical and clinical research. With 111 scientific publications, 896 citing documents, and over 1,300 citations, he has established a sustained scholarly presence reflected in an h-index of 22, demonstrating both productivity and the growing influence of his work. Dr. Zhang’s research portfolio spans multidisciplinary domains within medical science, contributing to the advancement of evidence-based understanding in areas relevant to public health, disease mechanisms, and clinical outcomes. His publications include peer-reviewed journal articles, emerging preprints, and collaborative studies with more than 120 co-authors, underscoring his strong integration within global scientific networks and cross-institutional partnerships. Through this collaborative engagement, Dr. Zhang actively supports the development of innovative methodologies, robust analytical frameworks, and data-driven insights that inform clinical practice and medical policy. His contributions are widely cited, reflecting their relevance across diverse research communities and their application in ongoing scientific progress. Dr. Zhang’s scholarly activities also demonstrate a commitment to scientific transparency and evolving research dissemination, with work represented across Scopus-indexed platforms and linked to ORCID for interoperable academic identity management. Although specific award information is not listed, the breadth and depth of his output underscore his dedication to advancing medical research and strengthening the global exchange of scientific knowledge. Overall, Dr. Kaiming Zhang exemplifies a modern clinician-researcher whose work enhances understanding of critical health challenges and contributes meaningfully to improved patient care, research innovation, and societal well-being.

Profiles: Scopus

Featured Publications

1. He, Y., Xing, J., Li, J., Zhang, K., & Li, X. (2025). S100A8 and S100A9-mediated keratinocyte affecting T lymphocyte immune imbalance through TLR4/NF-κB in psoriasis. Scientific Reports, 15(1). https://doi.org/10.1038/s41598-025-96874-y.

2. Liang, H., Wang, Y., Li, J., & Zhang, K. (2025). Crotonylation deficiency of S100A7 K49 promotes psoriatic keratinocyte proliferation through enhanced interaction with RAGE. Scientific Reports, 15(1), 14678. https://doi.org/10.1038/s41598-025-96874-y.

3. Liang, N., Cao, Y., Li, J., & Zhang, K. (2025). Normal dermal mesenchymal stem cells improve the functions of psoriatic keratinocytes by inducing autophagy. Acta Histochemica, 127(1), 152229. https://doi.org/10.1016/j.acthis.2025.152229.

4. Kuroda, K., Sapadin, A., Shoji, T., Fleischmajer, R., & Lebwohl, M. (2001). Altered expression of angiopoietins and Tie2 endothelium receptor in psoriasis. Journal of Investigative Dermatology, 116(5), 713–720. https://doi.org/10.1046/j.1523-1747.2001.01316.x.
Cited by 124

Prof. Kaiming Zhang advances the molecular understanding of inflammatory and immune-mediated diseases, uncovering pathways that drive disease progression. His work provides essential foundations for developing targeted therapies and improving clinical outcomes worldwide.

Raeesa Manjoo-Docrat | Infectious Diseases | Young Researcher Award

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.