Maryam Karbasi | Infectious Disease | Best Researcher Award

Best Researcher Award

Maryam KarbasiIsfahan University of Technology (IUT), Iran

Maryam Karbasi
Affiliation Isfahan University of Technology (IUT)
Country Iran
Scopus ID 6602224242
Documents 32
Citations 378
h-index 9
Subject Area Infectious Disease
Event Global Diseases Research Awards

Maryam Karbasi is a researcher affiliated with Isfahan University of Technology in Iran whose scholarly profile is associated with infectious disease research. The available Scopus information records 32 documents, 378 citations, and an h-index of 9. These indicators provide a bibliometric context for describing research activity and scholarly visibility. [1]

Abstract

Maryam Karbasi, affiliated with Isfahan University of Technology, Iran, is presented in this academic recognition profile in relation to infectious disease research. The documented Scopus profile reports 32 scholarly documents, 378 citations, and an h-index of 9. These bibliometric indicators provide a concise representation of publication activity and citation performance within the indexed scholarly record. The profile is considered in the context of the Best Researcher Award associated with the Global Diseases Research Awards. The recognition framework considers documented research activity, subject relevance, scholarly visibility, and contributions that may support scientific understanding of infectious diseases and antimicrobial resistance. [2]

Keywords

Maryam Karbasi; Best Researcher Award; antimicrobial resistance; infectious disease; Isfahan University of Technology; Iran; Scopus; bibliometrics; research impact; microbiology; infectious disease research; Global Diseases Research Awards. [1]

Introduction

Infectious disease research addresses pathogens, transmission, diagnosis, treatment, prevention, and disease control across laboratory and public health settings. Antimicrobial resistance is an important component of this field because resistant microorganisms can reduce treatment effectiveness and complicate infection management. Research addressing these challenges supports evidence-based approaches to disease prevention and therapeutic development. [2]

Research Profile

The supplied Scopus information identifies Maryam Karbasi with Author ID 6602224242. The reported profile contains 32 documents, 378 citations, and an h-index of 9. These values describe the indexed scholarly record associated with the specified author profile and may change as publications are added, corrected, or newly indexed by bibliographic databases. [1]

Research Contributions

Karbasi’s research profile is positioned within infectious disease scholarship, a field encompassing microbiology, pathogen biology, antimicrobial research, diagnostics, and infection management. The reported publication record provides evidence of sustained scholarly activity in the indexed literature. Assessment of specific contributions should additionally consider research methodology, originality, scientific findings, authorship roles, and relevance to infectious disease research. [3]

Publications

The supplied Scopus record reports 32 documents associated with Maryam Karbasi. This document count provides a quantitative indication of indexed scholarly output but does not independently establish the quality, originality, methodology, or significance of individual publications. Publication-level assessment requires examination of the individual articles, journals, research designs, findings, and citation contexts. [1]

Research Impact

The reported citation count of 378 and h-index of 9 provide quantitative indicators of citation activity within the specified Scopus record. Such measures can help describe scholarly visibility, although citation patterns differ across disciplines, publication years, collaboration structures, and database coverage. Consequently, bibliometric indicators are most informative when interpreted together with qualitative evidence concerning research significance and scientific contribution. [4]

Award Suitability

The Best Researcher Award profile corresponds with the researcher’s stated subject area of infectious disease and the broader focus of the Global Diseases Research Awards. Karbasi’s academic affiliation, documented publication activity, citation record, and h-index provide measurable information for recognition consideration. A comprehensive evaluation should also consider originality, scientific quality, research contribution, publication evidence, and the applicable award assessment criteria. [3]

Conclusion

Maryam Karbasi’s supplied academic profile documents research activity at Isfahan University of Technology in Iran within infectious disease research. The reported Scopus record of 32 documents, 378 citations, and an h-index of 9 provides a quantitative foundation for describing her indexed scholarly presence. Further examination of individual publications can provide additional context for evaluating research quality and contribution. [5]

References

  1. Elsevier. (n.d.). Scopus author details: Maryam Karbasi, Author ID 6602224242. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=6602224242
  2. Karbasi, M., Yazdian, N., & Vahidian, A. (2012). Development of electro-co-deposited Ni–TiC nano-particle reinforced nanocomposite coatings. Surface and Coatings Technology, 207, 587–593.
    https://doi.org/10.1016/j.surfcoat.2012.07.083
  3. Varzandeh, M., Ehsani Nasab, M. E., Karbasi, M., & Karbasi, M. (2026). Reframing antibacterial strategies through physical targeting: Mechanisms and future directions. Progress in Biophysics and Molecular Biology, 200, 176–198.
    https://doi.org/10.1016/j.pbiomolbio.2026.05.003

  4. Torkaman, R., Darvishi, S., Jokar, M., Kharaziha, M., & Karbasi, M. (2017). Electrochemical and in vitro bioactivity of nanocomposite gelatin-forsterite coatings on AISI 316 L stainless steel. Progress in Organic Coatings, 103, 40–47.
    https://doi.org/10.1016/j.porgcoat.2016.11.029
  5. Jokar, M., Darvishi, S., Torkaman, R., Kharaziha, M., & Karbasi, M. (2016). Corrosion and bioactivity evaluation of nanocomposite PCL-forsterite coating applied on 316L stainless steel. Surface and Coatings Technology, 307, 324–331.
    https://doi.org/10.1016/j.surfcoat.2016.08.094

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.