Ji‐Won Yoon
Impact in
- Genetics top 0.2%
- Diabetes and associated disorders
-
- Diabetes Management and Research
Papers in
- Co-authors
- Hee‐Sook Jun (38 shared papers)Abner Louis Notkins (17 shared papers)Takashi Onodera (11 shared papers)Marshall Austin (1 shared paper)Hyone‐Myong Eun (5 shared papers)Kazuhiko Amano (4 shared papers)Pere Santamaría (4 shared papers)A L Notkins (4 shared papers)
- Journals
- Diabetes (35 papers)Diabetologia (14 papers)Journal of Virology (7 papers)The Journal of Immunology (5 papers)Journal of Autoimmunity (5 papers)
- Partner nations
- CanadaUnited StatesSouth Korea
In The Last Decade
Ji‐Won Yoon
152 papers receiving 6.3k citations
Ji‐Won Yoon's Hit Papers
Peers
Comparison fields: 5 of 133
- Genetics 4.0k
- Endocrinology, Diabetes and Metabolism 2.0k
- Immunology 1.9k
- Surgery 2.7k
- Cardiology and Cardiovascular Medicine 737
Countries citing papers authored by Ji‐Won Yoon
This map shows the geographic impact of Ji‐Won Yoon'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 Ji‐Won Yoon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ji‐Won Yoon more than expected).
Fields of papers citing papers by Ji‐Won Yoon
This network shows the impact of papers produced by Ji‐Won Yoon. 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 Ji‐Won Yoon. The network helps show where Ji‐Won Yoon may publish in the future.
Co-authors
The 25 scholars most cited alongside Ji‐Won Yoon, 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 153 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Virus-Induced Diabetes Mellitus Hit paper breakdown → | 1979 | 813 |
| 2 | 2005 | 246 | |
| 3 | 1988 | 244 | |
| 4 | 1999 | 241 | |
| 5 | 1988 | 202 | |
| 6 | 2002 | 199 | |
| 7 | 1978 | 167 | |
| 8 | 2004 | 141 | |
| 9 | 1998 | 137 | |
| 10 | 2007 | 131 | |
| 11 | 2001 | 116 | |
| 12 | 1996 | 115 | |
| 13 | 1983 | 115 | |
| 14 | 1988 | 105 | |
| 15 | 2002 | 104 | |
| 16 | 1978 | 103 | |
| 17 | 1996 | 88 | |
| 18 | 1980 | 85 | |
| 19 | 1999 | 83 | |
| 20 | 1990 | 73 |
About Ji‐Won Yoon
Ji‐Won Yoon is a scholar working on Genetics, Surgery, Immunology, Endocrinology, Diabetes and Metabolism and Molecular Biology, having authored 153 papers that have together received 6.8k indexed citations. Recurring topics across this work include Diabetes and associated disorders (93 papers), Pancreatic function and diabetes (58 papers), Diabetes Management and Research (32 papers), Immune Cell Function and Interaction (25 papers), Cytomegalovirus and herpesvirus research (22 papers), Viral Infections and Immunology Research (20 papers), RNA regulation and disease (18 papers) and T-cell and B-cell Immunology (9 papers). The work is most often cited by research in Genetics (4.0k citations), Endocrinology, Diabetes and Metabolism (2.0k citations), Immunology (1.9k citations), Surgery (2.7k citations) and Cardiology and Cardiovascular Medicine (737 citations). Ji‐Won Yoon has collaborated with scholars based in Canada, United States and South Korea. Frequent co-authors include Hee‐Sook Jun, Abner Louis Notkins, Takashi Onodera, Marshall Austin, Hyone‐Myong Eun, Kazuhiko Amano, Pere Santamaría, A L Notkins, Toshihiro Utsugi and Yup Kang. Their work appears in journals such as Diabetes, Diabetologia, Journal of Virology, The Journal of Immunology and Journal of Autoimmunity.
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.