Yi Jin
Impact in
- Pharmacology top 2%
- Pharmacogenetics and Drug Metabolism
-
- Traditional Chinese Medicine Analysis
Papers in
- Pharmacology 19
- Pharmacogenetics and Drug Metabolism 17
- Pharmacological Effects of Natural Compounds 2
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- Analytical Methods in Pharmaceuticals 11
- Co-authors
- Nico Cerletti (2 shared papers)Gian Camenisch (6 shared papers)Markus Zollinger (2 shared papers)Hicham Khodr (1 shared paper)Robert C. Hider (1 shared paper)Jin‐Ao Duan (7 shared papers)Yuping Tang (7 shared papers)Zu Dong Liu (1 shared paper)
- Journals
- Drug Metabolism and Disposition (6 papers)Journal of Chromatography B (4 papers)Journal of Pharmaceutical and Biomedical Analysis (3 papers)Asian Journal of Pharmaceutical Sciences (3 papers)Xenobiotica (3 papers)
- Partner nations
- ChinaSwitzerlandUnited States
In The Last Decade
Yi Jin
50 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 83
- Pharmacology 218
- Complementary and alternative medicine 151
- Analytical Chemistry 110
- Hematology 100
- Genetics 49
Countries citing papers authored by Yi Jin
This map shows the geographic impact of Yi 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 Yi Jin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yi Jin more than expected).
Fields of papers citing papers by Yi Jin
This network shows the impact of papers produced by Yi 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 Yi Jin. The network helps show where Yi Jin may publish in the future.
Co-authors
The 25 scholars most cited alongside Yi 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 51 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1998 | 97 | |
| 2 | 2016 | 84 | |
| 3 | 2002 | 65 | |
| 4 | 1991 | 63 | |
| 5 | 2010 | 53 | |
| 6 | 2017 | 48 | |
| 7 | 2018 | 45 | |
| 8 | 2010 | 40 | |
| 9 | 2020 | 38 | |
| 10 | 2015 | 35 | |
| 11 | 2015 | 34 | |
| 12 | 2014 | 32 | |
| 13 | 2012 | 29 | |
| 14 | 2017 | 29 | |
| 15 | 2019 | 29 | |
| 16 | 2014 | 26 | |
| 17 | 2018 | 25 | |
| 18 | 2013 | 24 | |
| 19 | 2017 | 24 | |
| 20 | 2020 | 24 |
About Yi Jin
Yi Jin is a scholar working on Pharmacology, Analytical Chemistry, Complementary and alternative medicine, Pharmaceutical Science and Hematology, having authored 51 papers that have together received 1.1k indexed citations. Recurring topics across this work include Pharmacogenetics and Drug Metabolism (17 papers), Analytical Methods in Pharmaceuticals (11 papers), Traditional Chinese Medicine Analysis (9 papers), Iron Metabolism and Disorders (3 papers), Drug Solubulity and Delivery Systems (2 papers), Phytochemistry and Biological Activities (2 papers), Pharmacological Effects of Natural Compounds (2 papers) and TGF-β signaling in diseases (2 papers). The work is most often cited by research in Pharmacology (218 citations), Complementary and alternative medicine (151 citations), Analytical Chemistry (110 citations), Hematology (100 citations) and Genetics (49 citations). Yi Jin has collaborated with scholars based in China, Switzerland and United States. Frequent co-authors include Nico Cerletti, Gian Camenisch, Markus Zollinger, Hicham Khodr, Robert C. Hider, Jin‐Ao Duan, Yuping Tang, Zu Dong Liu, Ulrike Glaenzel and Haiyan Xu. Their work appears in journals such as Drug Metabolism and Disposition, Journal of Chromatography B, Journal of Pharmaceutical and Biomedical Analysis, Asian Journal of Pharmaceutical Sciences and Xenobiotica.
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.