Jing‐He Yan
Impact in
-
- Hepatitis C virus research
-
- Hemoglobinopathies and Related Disorders
Papers in
-
- Pharmaceutical studies and practices 3
-
- Hepatitis B Virus Studies 2
- Pneumocystis jirovecii pneumonia detection and treatment 2
- Co-authors
- Dennis M. Grasela (5 shared papers)Duxi Zhang (2 shared papers)Sanjeev Kaul (3 shared papers)Frank LaCreta (2 shared papers)Marc Bifano (2 shared papers)Steven Olsen (1 shared paper)John W. Hubbard (3 shared papers)Robert A. Smith (1 shared paper)
- Journals
- The Journal of Clinical Pharmacology (8 papers)Xenobiotica (2 papers)Lipids in Health and Disease (1 paper)Toxicology and Applied Pharmacology (1 paper)Journal of clinical lipidology (1 paper)
- Partner nations
- United StatesSwitzerlandGermany
In The Last Decade
Jing‐He Yan
20 papers receiving 291 citations
Peers
Comparison fields: 5 of 62
- Hepatology 38
- Genetics 35
- Virology 15
- Infectious Diseases 56
- Hematology 28
Countries citing papers authored by Jing‐He Yan
This map shows the geographic impact of Jing‐He Yan'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 Jing‐He Yan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jing‐He Yan more than expected).
Fields of papers citing papers by Jing‐He Yan
This network shows the impact of papers produced by Jing‐He Yan. 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 Jing‐He Yan. The network helps show where Jing‐He Yan may publish in the future.
Co-authors
The 25 scholars most cited alongside Jing‐He Yan, 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 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 51 | |
| 2 | 2005 | 37 | |
| 3 | 2022 | 26 | |
| 4 | 2002 | 24 | |
| 5 | 2007 | 18 | |
| 6 | 1997 | 16 | |
| 7 | 2014 | 15 | |
| 8 | 2013 | 15 | |
| 9 | 2024 | 13 | |
| 10 | 2018 | 13 | |
| 11 | 2017 | 12 | |
| 12 | 2006 | 11 | |
| 13 | 2007 | 10 | |
| 14 | 2014 | 8 | |
| 15 | 1997 | 8 | |
| 16 | 2018 | 7 | |
| 17 | 2002 | 6 | |
| 18 | 2002 | 4 | |
| 19 | 2011 | 3 | |
| 20 | 2013 | 2 |
About Jing‐He Yan
Jing‐He Yan is a scholar working on Pediatrics, Perinatology and Child Health, Epidemiology, Infectious Diseases, Oncology and Surgery, having authored 21 papers that have together received 299 indexed citations. Recurring topics across this work include HIV/AIDS drug development and treatment (4 papers), Drug Transport and Resistance Mechanisms (3 papers), Pharmaceutical studies and practices (3 papers), Hepatitis B Virus Studies (2 papers), Hepatitis C virus research (2 papers), Pneumocystis jirovecii pneumonia detection and treatment (2 papers), Pharmacogenetics and Drug Metabolism (2 papers) and Epilepsy research and treatment (2 papers). The work is most often cited by research in Hepatology (38 citations), Genetics (35 citations), Virology (15 citations), Infectious Diseases (56 citations) and Hematology (28 citations). Jing‐He Yan has collaborated with scholars based in United States, Switzerland and Germany. Frequent co-authors include Dennis M. Grasela, Duxi Zhang, Sanjeev Kaul, Frank LaCreta, Marc Bifano, Steven Olsen, John W. Hubbard, Robert A. Smith, Edward O’Mara and Anastasia Lesogor. Their work appears in journals such as The Journal of Clinical Pharmacology, Xenobiotica, Lipids in Health and Disease, Toxicology and Applied Pharmacology and Journal of clinical lipidology.
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.