Yeongjin Gwon
- Statistics and Probability top 2%
- Cardiology and Cardiovascular Medicine
- Economics and Econometrics
- Health, Toxicology and Mutagenesis
- Surgery
- Co-authors
- Joseph G. IbrahimFang ChenMing‐Hui ChenJesse E. BellMohit K. TuragamPoonam VelagapudiJ. Dawn AbbottBrian A. Knarr
- Topics
- Climate Change and Health Impacts (7 papers)Air Quality and Health Impacts (4 papers)Global Health Care Issues (3 papers)
- Cited by
- Statistics and ProbabilityPhysical Therapy, Sports Therapy and RehabilitationCardiology and Cardiovascular Medicine
- Journals
- SHILAP Revista de lepidopterologíaThe Science of The Total EnvironmentCancer Research
- Partner nations
- United StatesUnited KingdomSouth Korea
In The Last Decade
Yeongjin Gwon
26 papers receiving 381 citations
Peers
Comparison fields: 5 of 92
- Statistics and Probability 147
- Cardiology and Cardiovascular Medicine 66
- Economics and Econometrics 61
- Health, Toxicology and Mutagenesis 39
- Surgery 38
Countries citing papers authored by Yeongjin Gwon
This map shows the geographic impact of Yeongjin Gwon's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Yeongjin Gwon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yeongjin Gwon more than expected).
Fields of papers citing papers by Yeongjin Gwon
This network shows the impact of papers produced by Yeongjin Gwon. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Yeongjin Gwon. The network helps show where Yeongjin Gwon may publish in the future.
Co-authorship network of co-authors of Yeongjin Gwon
This figure shows the co-authorship network connecting the top 25 collaborators of Yeongjin Gwon. A scholar is included among the top collaborators of Yeongjin Gwon based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Yeongjin Gwon. Yeongjin Gwon is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 5 | |
| 6 | 0 | |
| 7 | 7 | |
| 8 | 4 | |
| 9 | 1 | |
| 10 | 4 | |
| 11 | 2 | |
| 12 | 3 | |
| 13 | 0 | |
| 14 | 11 | |
| 15 | 17 | |
| 16 | 20 | |
| 17 | 4 | |
| 18 | 22 | |
| 19 | 29 | |
| 20 | Using extreme weather event attribution to determine the impacts of climate change on human health | 2 |
About Yeongjin Gwon
Yeongjin Gwon is a scholar working on Health, Toxicology and Mutagenesis, Physical Therapy, Sports Therapy and Rehabilitation and Statistics and Probability, having authored 30 papers that have together received 387 indexed citations. Recurring topics across this work include Climate Change and Health Impacts (7 papers), Air Quality and Health Impacts (4 papers) and Global Health Care Issues (3 papers). The work is most often cited by research in Statistics and Probability (147 citations), Physical Therapy, Sports Therapy and Rehabilitation (14 citations) and Cardiology and Cardiovascular Medicine (66 citations). Yeongjin Gwon has collaborated with scholars based in United States, United Kingdom and South Korea. Frequent co-authors include Joseph G. Ibrahim, Fang Chen, Ming‐Hui Chen, Jesse E. Bell, Mohit K. Turagam, Poonam Velagapudi, J. Dawn Abbott, Brian A. Knarr, Mamas A. Mamas and Jesse D. Berman. Their work appears in journals such as SHILAP Revista de lepidopterología, The Science of The Total Environment and Cancer Research.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.