A. Yun
Impact in
- Hepatology top 5%
- Hepatitis C virus research
- Hepatitis Viruses Studies and Epidemiology
- Ophthalmology top 2%
- Glaucoma and retinal disorders
- Retinal Diseases and Treatments
Papers in
-
- Hepatitis C virus research 6
- Hepatitis Viruses Studies and Epidemiology 5
-
- Hepatitis B Virus Studies 5
- Co-authors
- Jorge A. Alvarado (3 shared papers)Collin G. Murphy (2 shared papers)David A. Newsome (1 shared paper)Jon R. Polansky (1 shared paper)D A Newsome (1 shared paper)Mike Piatak (2 shared papers)John R. Lake (2 shared papers)Linda D. Ferrell (2 shared papers)
- Journals
- American Journal of Transplantation (2 papers)Journal of General Virology (1 paper)American Journal of Ophthalmology (1 paper)Journal of Hepatology (1 paper)The Journal of Infectious Diseases (1 paper)
- Partner nations
- United StatesAustraliaUnited Kingdom
In The Last Decade
A. Yun
11 papers receiving 499 citations
Peers
Comparison fields: 5 of 43
- Hepatology 228
- Ophthalmology 183
- Epidemiology 200
- Immunology and Allergy 28
- Cell Biology 46
Countries citing papers authored by A. Yun
This map shows the geographic impact of A. Yun'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 A. Yun with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites A. Yun more than expected).
Fields of papers citing papers by A. Yun
This network shows the impact of papers produced by A. Yun. 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 A. Yun. The network helps show where A. Yun may publish in the future.
Co-authors
The 25 scholars most cited alongside A. Yun, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Proteins secreted by human trabecular cells. Glucocorticoid and other effects. | 1989 | 102 |
| 2 | 1996 | 89 | |
| 3 | 1987 | 84 | |
| 4 | 1986 | 63 | |
| 5 | 1997 | 49 | |
| 6 | 1998 | 48 | |
| 7 | 1997 | 38 | |
| 8 | 1997 | 28 | |
| 9 | 1997 | 18 | |
| 10 | 1997 | 11 | |
| 11 | 2014 | 8 | |
| 12 | 2025 | 0 | |
| 13 | 2025 | 0 |
About A. Yun
A. Yun is a scholar working on Hepatology, Epidemiology, Ophthalmology, Transplantation and Immunology and Allergy, having authored 13 papers that have together received 538 indexed citations. Recurring topics across this work include Hepatitis C virus research (6 papers), Hepatitis B Virus Studies (5 papers), Hepatitis Viruses Studies and Epidemiology (5 papers), Glaucoma and retinal disorders (2 papers), Glycosylation and Glycoproteins Research (1 paper), Cell Adhesion Molecules Research (1 paper), Animal Virus Infections Studies (1 paper) and Renal Transplantation Outcomes and Treatments (1 paper). The work is most often cited by research in Hepatology (228 citations), Ophthalmology (183 citations), Epidemiology (200 citations), Immunology and Allergy (28 citations) and Cell Biology (46 citations). A. Yun has collaborated with scholars based in United States, Australia and United Kingdom. Frequent co-authors include Jorge A. Alvarado, Collin G. Murphy, David A. Newsome, Jon R. Polansky, D A Newsome, Mike Piatak, John R. Lake, Linda D. Ferrell, John Wages and Marina Berenguer. Their work appears in journals such as American Journal of Transplantation, Journal of General Virology, American Journal of Ophthalmology, Journal of Hepatology and The Journal of Infectious Diseases.
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.