Jae Won Yang
Impact in
- Nephrology top 5%
- Dialysis and Renal Disease Management
- Renal Diseases and Glomerulopathies
- Infectious Diseases top 5%
- COVID-19 Clinical Research Studies
- SARS-CoV-2 and COVID-19 Research
Papers in
- Nephrology 20
- Dialysis and Renal Disease Management 10
- Renal Diseases and Glomerulopathies 7
- Chronic Kidney Disease and Diabetes 6
- Surgery 11
- Co-authors
- Jun Young Lee (31 shared papers)Jae Il Shin (19 shared papers)Andreas Kronbichler (13 shared papers)Keum Hwa Lee (11 shared papers)Jae‐Seok Kim (5 shared papers)Byoung Geun Han (28 shared papers)Jae Seok Kim (24 shared papers)Maria Effenberger (3 shared papers)
- Journals
- Kidney Research and Clinical Practice (10 papers)Nutrients (4 papers)Scientific Reports (3 papers)Journal of Clinical Medicine (3 papers)Microscopy and Microanalysis (3 papers)
- Partner nations
- South KoreaUnited StatesAustria
In The Last Decade
Jae Won Yang
70 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 110
- Nephrology 184
- Infectious Diseases 288
- Neurology 136
- Physiology 171
- Modeling and Simulation 27
Countries citing papers authored by Jae Won Yang
This map shows the geographic impact of Jae Won Yang'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 Jae Won Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jae Won Yang more than expected).
Fields of papers citing papers by Jae Won Yang
This network shows the impact of papers produced by Jae Won Yang. 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 Jae Won Yang. The network helps show where Jae Won Yang may publish in the future.
Co-authors
The 25 scholars most cited alongside Jae Won Yang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 75 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 320 | |
| 2 | 2020 | 89 | |
| 3 | 2020 | 50 | |
| 4 | 2013 | 47 | |
| 5 | 2022 | 45 | |
| 6 | 2019 | 39 | |
| 7 | 2022 | 38 | |
| 8 | 2018 | 38 | |
| 9 | 2018 | 29 | |
| 10 | 2019 | 28 | |
| 11 | 2017 | 27 | |
| 12 | 2013 | 27 | |
| 13 | 2020 | 25 | |
| 14 | 2018 | 22 | |
| 15 | 2022 | 20 | |
| 16 | 2019 | 20 | |
| 17 | 2017 | 15 | |
| 18 | 2020 | 14 | |
| 19 | 2015 | 14 | |
| 20 | 2019 | 13 |
About Jae Won Yang
Jae Won Yang is a scholar working on Nephrology, Surgery, Molecular Biology, Cardiology and Cardiovascular Medicine and Physiology, having authored 75 papers that have together received 1.2k indexed citations. Recurring topics across this work include Dialysis and Renal Disease Management (10 papers), Renal Diseases and Glomerulopathies (7 papers), Chronic Kidney Disease and Diabetes (6 papers), Body Composition Measurement Techniques (6 papers), Hepatitis C virus research (5 papers), COVID-19 Clinical Research Studies (4 papers), Long-Term Effects of COVID-19 (3 papers) and Venous Thromboembolism Diagnosis and Management (3 papers). The work is most often cited by research in Nephrology (184 citations), Infectious Diseases (288 citations), Neurology (136 citations), Physiology (171 citations) and Modeling and Simulation (27 citations). Jae Won Yang has collaborated with scholars based in South Korea, United States and Austria. Frequent co-authors include Jun Young Lee, Jae Il Shin, Andreas Kronbichler, Keum Hwa Lee, Jae‐Seok Kim, Byoung Geun Han, Jae Seok Kim, Maria Effenberger, Wladimir Szpirt and Seung Ok Choi. Their work appears in journals such as Kidney Research and Clinical Practice, Nutrients, Scientific Reports, Journal of Clinical Medicine and Microscopy and Microanalysis.
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.