Yuyan Jin
Impact in
- Hepatology top 10%
- Hepatitis C virus research
-
- Hepatitis B Virus Studies
- Liver Disease Diagnosis and Treatment
Papers in
-
- Hepatitis B Virus Studies 7
- Liver Disease Diagnosis and Treatment 5
-
- Hepatitis C virus research 6
- Co-authors
- Robert R. Bies (8 shared papers)Sheng Feng (7 shared papers)Annabelle Lemenuel‐Diot (3 shared papers)Edward Gane (3 shared papers)Margaret A. Kirshner (3 shared papers)Christian Schwabe (3 shared papers)Bruce G. Pollock (4 shared papers)Valérie Cosson (3 shared papers)
- Journals
- The Journal of Clinical Pharmacology (4 papers)Clinical Pharmacology & Therapeutics (3 papers)Clinical and Translational Science (2 papers)Journal of Pharmacokinetics and Pharmacodynamics (2 papers)Clinical Cancer Research (1 paper)
- Partner nations
- ChinaUnited StatesSwitzerland
In The Last Decade
Yuyan Jin
21 papers receiving 311 citations
Peers
Comparison fields: 5 of 88
- Hepatology 92
- Epidemiology 112
- Pharmacology 28
- Statistics and Probability 25
- Biological Psychiatry 7
Countries citing papers authored by Yuyan Jin
This map shows the geographic impact of Yuyan Jin'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 Yuyan Jin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yuyan Jin more than expected).
Fields of papers citing papers by Yuyan Jin
This network shows the impact of papers produced by Yuyan Jin. 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 Yuyan Jin. The network helps show where Yuyan Jin may publish in the future.
Co-authors
The 25 scholars most cited alongside Yuyan Jin, 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 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 45 | |
| 2 | 2021 | 43 | |
| 3 | 2012 | 23 | |
| 4 | 2022 | 21 | |
| 5 | 2009 | 20 | |
| 6 | 2022 | 19 | |
| 7 | 2020 | 19 | |
| 8 | 2019 | 17 | |
| 9 | 2020 | 16 | |
| 10 | 2009 | 13 | |
| 11 | 2012 | 13 | |
| 12 | 2020 | 13 | |
| 13 | 2021 | 12 | |
| 14 | 2012 | 11 | |
| 15 | 2021 | 8 | |
| 16 | 2020 | 7 | |
| 17 | 2021 | 5 | |
| 18 | 2012 | 4 | |
| 19 | 2014 | 3 | |
| 20 | 2025 | 1 |
About Yuyan Jin
Yuyan Jin is a scholar working on Epidemiology, Hepatology, Psychiatry and Mental health, Pharmacology and Cardiology and Cardiovascular Medicine, having authored 23 papers that have together received 314 indexed citations. Recurring topics across this work include Hepatitis B Virus Studies (7 papers), Hepatitis C virus research (6 papers), Liver Disease Diagnosis and Treatment (5 papers), Bipolar Disorder and Treatment (3 papers), Blood Pressure and Hypertension Studies (3 papers), Treatment of Major Depression (3 papers), Pharmacological Effects and Toxicity Studies (2 papers) and COVID-19 diagnosis using AI (2 papers). The work is most often cited by research in Hepatology (92 citations), Epidemiology (112 citations), Pharmacology (28 citations), Statistics and Probability (25 citations) and Biological Psychiatry (7 citations). Yuyan Jin has collaborated with scholars based in China, United States and Switzerland. Frequent co-authors include Robert R. Bies, Sheng Feng, Annabelle Lemenuel‐Diot, Edward Gane, Margaret A. Kirshner, Christian Schwabe, Bruce G. Pollock, Valérie Cosson, Miriam Triyatni and Theodore Karrison. Their work appears in journals such as The Journal of Clinical Pharmacology, Clinical Pharmacology & Therapeutics, Clinical and Translational Science, Journal of Pharmacokinetics and Pharmacodynamics and Clinical Cancer Research.
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.