Research Excellence Award
Kwang No Lee
Ajou University School of Medicine, South Korea
| Kwang No Lee |
| Affiliation |
Ajou University School of Medicine |
| Country |
South Korea |
| Scopus ID |
57189499364 |
| Documents |
50 |
| Citations |
973 |
| h-index |
17 |
| Subject Area |
Clinical Trials and Statistical Designs |
| Event |
World Statistics Awards |
The Research Excellence Award article documents the scholarly profile, statistical research activities, and academic contributions of Kwang No Lee of Ajou University School of Medicine. The profile highlights research productivity, citation impact, and involvement in clinical trial methodologies and advanced statistical study designs within biomedical and health-related research domains.[1] The article further evaluates the suitability of the researcher for recognition within the framework of the World Statistics Awards based on documented academic indicators and publication impact.[2]
Abstract
Kwang No Lee has contributed to research areas associated with clinical trials, biostatistics, and methodological statistical applications in healthcare research. Academic records indexed through Scopus demonstrate sustained scholarly productivity and measurable citation performance.[1] Research activities include the application of statistical frameworks to biomedical investigations, evidence-based study models, and quantitative evaluation methods relevant to clinical science. The profile reflects international academic visibility and interdisciplinary research engagement within statistical medicine and healthcare analytics.[3]
Keywords
Clinical Trials, Biostatistics, Statistical Design, Medical Research, Healthcare Analytics, Quantitative Research, Biomedical Statistics, Research Evaluation, Citation Analysis, Epidemiological Studies.
Introduction
The advancement of statistical science within medical and clinical environments has significantly influenced modern healthcare research and evidence-based decision-making. Statistical methodologies play a central role in clinical trial evaluation, patient outcome analysis, epidemiological investigation, and experimental validation.[4] Researchers specializing in clinical trial methodologies contribute toward improving the reliability, reproducibility, and analytical quality of biomedical investigations. Kwang No Lee’s scholarly activities align with these objectives through contributions connected to clinical statistical frameworks and research methodology development.[1]
Research Profile
The research profile of Kwang No Lee demonstrates a consistent publication record with measurable citation impact in indexed scientific literature. According to Scopus metrics, the profile includes 50 scholarly documents with 973 citations and an h-index of 17.[1] The documented research output reflects participation in statistical applications for clinical investigations, biomedical evaluation, and quantitative analytical studies relevant to healthcare systems.[3]
- Research specialization in clinical trials and statistical designs.
- Indexed publication record within Scopus databases.
- Documented citation impact across biomedical and statistical literature.
- Academic engagement in healthcare quantitative methodologies.
Research Contributions
Research contributions associated with Kwang No Lee emphasize the integration of statistical methodologies into medical and healthcare research environments. Contributions include analytical study design, quantitative assessment approaches, and interpretation of clinical data within structured biomedical investigations.[5] The research profile also indicates involvement in interdisciplinary collaborations that support evidence-driven healthcare outcomes and methodological precision in clinical evaluations.[2]
- Development and application of statistical methodologies for clinical trials.
- Participation in biomedical data analysis and healthcare research studies.
- Contribution to quantitative evaluation techniques in medical science.
- Support for evidence-based clinical and epidemiological investigations.
Publications
The publication portfolio associated with Kwang No Lee includes scholarly articles related to clinical studies, healthcare analytics, and statistical evaluation methods. Publications indexed within Scopus indicate engagement with peer-reviewed biomedical and statistical research communities.[1] Several studies demonstrate the practical application of statistical design models within clinical and healthcare-oriented investigations.[6]
- Clinical statistical analysis in healthcare investigations.
- Research involving biomedical data interpretation methodologies.
- Quantitative frameworks applied within clinical trial systems.
- Methodological studies associated with statistical research designs.
Research Impact
The documented citation count and h-index demonstrate measurable academic influence within the research domains connected to clinical statistics and biomedical analytics. Citation activity suggests that the research output has contributed to ongoing scholarly discussions and referenced methodologies in healthcare-related statistical literature.[1] The integration of statistical principles into clinical research environments further reflects the applied significance of the scholarly work.[4]
| Metric |
Value |
| Scopus Documents |
50 |
| Citations |
973 |
| h-index |
17 |
| Research Area |
Clinical Trials and Statistical Designs |
Award Suitability
The academic profile of Kwang No Lee demonstrates characteristics relevant to evaluation within the World Statistics Awards framework. Research output, citation performance, and specialization in clinical statistical methodologies collectively indicate scholarly consistency and measurable academic engagement.[2] Contributions to healthcare-oriented statistical analysis and evidence-based research practices support the relevance of the profile for recognition in statistical science and applied biomedical research domains.[5]
Conclusion
Kwang No Lee’s research profile reflects sustained scholarly participation in clinical trials, biomedical statistics, and quantitative healthcare methodologies. Indexed publications, citation indicators, and interdisciplinary research activities collectively demonstrate academic relevance within statistical and medical research communities.[1] The documented academic contributions support recognition within professional statistical award programs emphasizing research quality, analytical methodologies, and evidence-based scientific advancement.[2]
External Links
References
- Elsevier. (n.d.). Scopus author details: Kwang No Lee, Author ID 57189499364. Scopus.
https://www.scopus.com/authid/detail.uri?authorId=57189499364
- World Statistics Awards. (n.d.). Academic recognition and award evaluation framework.
https://statisticsaward.com/
- International Committee for Medical Journal Editors. (n.d.). Clinical research and statistical reporting standards.
https://www.icmje.org/
- Pocock, S. J. (2013). Clinical Trials: A Practical Approach. Wiley.
https://doi.org/10.1002/9781118793916
- Friedman, L. M., Furberg, C., & DeMets, D. (2015). Fundamentals of Clinical Trials.
https://doi.org/10.1007/978-3-319-18539-2
- Journal of Clinical Epidemiology. (n.d.). Statistical methodologies in healthcare and biomedical research.
https://doi.org/10.1016/j.jclinepi.2010.03.004