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 15
- Dialysis and Renal Disease Management 6
- Renal Diseases and Glomerulopathies 6
- Chronic Kidney Disease and Diabetes 4
- Co-authors
- Jun Young Lee (31 shared papers)Jae Il Shin (20 shared papers)Andreas Kronbichler (14 shared papers)Keum Hwa Lee (12 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)PLoS ONE (3 papers)Journal of Clinical Medicine (3 papers)Microscopy and Microanalysis (3 papers)
- Partner nations
- South KoreaUnited StatesUnited Kingdom
In The Last Decade
Jae Won Yang
72 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 107
- Nephrology 148
- Infectious Diseases 237
- Neurology 111
- Biological Psychiatry 14
- Physiology 143
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 77 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 329 | |
| 2 | 2020 | 92 | |
| 3 | 2020 | 78 | |
| 4 | 2020 | 51 | |
| 5 | 2013 | 49 | |
| 6 | 2022 | 45 | |
| 7 | 2018 | 40 | |
| 8 | 2022 | 40 | |
| 9 | 2019 | 40 | |
| 10 | 2019 | 31 | |
| 11 | 2018 | 31 | |
| 12 | 2013 | 27 | |
| 13 | 2017 | 27 | |
| 14 | 2020 | 25 | |
| 15 | 2019 | 22 | |
| 16 | 2022 | 22 | |
| 17 | 2018 | 22 | |
| 18 | 2017 | 18 | |
| 19 | 2020 | 15 | |
| 20 | 2020 | 15 |
About Jae Won Yang
Jae Won Yang is a scholar working on Nephrology, Molecular Biology, Physiology, Infectious Diseases and Surgery, having authored 77 papers that have together received 1.3k indexed citations. Recurring topics across this work include Dialysis and Renal Disease Management (6 papers), Body Composition Measurement Techniques (6 papers), Renal Diseases and Glomerulopathies (6 papers), Chronic Kidney Disease and Diabetes (4 papers), Hepatitis C virus research (4 papers), COVID-19 Clinical Research Studies (3 papers), SARS-CoV-2 and COVID-19 Research (3 papers) and Long-Term Effects of COVID-19 (3 papers). The work is most often cited by research in Nephrology (148 citations), Infectious Diseases (237 citations), Neurology (111 citations), Biological Psychiatry (14 citations) and Physiology (143 citations). Jae Won Yang has collaborated with scholars based in South Korea, United States and United Kingdom. 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, PLoS ONE, 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.