Yi Jin
Impact in
- Pharmacology top 2%
- Pharmacogenetics and Drug Metabolism
- Genetics top 10%
- Hemoglobinopathies and Related Disorders
Papers in
- Pharmacology 17
- Pharmacogenetics and Drug Metabolism 11
- Pharmacological Effects of Natural Compounds 6
- Antibiotics Pharmacokinetics and Efficacy 4
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- Traditional Chinese Medicine Analysis 8
- Co-authors
- Nico Cerletti (2 shared papers)Gian Camenisch (6 shared papers)Markus Zollinger (2 shared papers)Zudong Liu (1 shared paper)Jin‐Ao Duan (7 shared papers)Robert C. Hider (1 shared paper)Yuping Tang (7 shared papers)Hicham Khodr (1 shared paper)
- Journals
- Drug Metabolism and Disposition (6 papers)Journal of Chromatography B (4 papers)Asian Journal of Pharmaceutical Sciences (3 papers)Journal of Pharmaceutical and Biomedical Analysis (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 113
- Pharmacology 177
- Genetics 124
- Complementary and alternative medicine 82
- Hematology 102
- Neurology 46
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 | 98 | |
| 2 | 2016 | 83 | |
| 3 | 2002 | 66 | |
| 4 | 1991 | 63 | |
| 5 | 2010 | 53 | |
| 6 | 2017 | 47 | |
| 7 | 2018 | 45 | |
| 8 | 2010 | 41 | |
| 9 | 2020 | 35 | |
| 10 | 2015 | 34 | |
| 11 | 2015 | 33 | |
| 12 | 2014 | 31 | |
| 13 | 2012 | 29 | |
| 14 | 2017 | 29 | |
| 15 | 2019 | 29 | |
| 16 | 2014 | 26 | |
| 17 | 2018 | 25 | |
| 18 | 2013 | 25 | |
| 19 | 2017 | 24 | |
| 20 | 2009 | 22 |
About Yi Jin
Yi Jin is a scholar working on Pharmacology, Complementary and alternative medicine, Pharmacology, Oncology and Molecular Biology, having authored 51 papers that have together received 1.1k indexed citations. Recurring topics across this work include Pharmacogenetics and Drug Metabolism (11 papers), Traditional Chinese Medicine Analysis (8 papers), Drug Transport and Resistance Mechanisms (7 papers), Pharmacological Effects of Natural Compounds (6 papers), Antibiotics Pharmacokinetics and Efficacy (4 papers), Sphingolipid Metabolism and Signaling (4 papers), Ginseng Biological Effects and Applications (4 papers) and Natural product bioactivities and synthesis (4 papers). The work is most often cited by research in Pharmacology (177 citations), Genetics (124 citations), Complementary and alternative medicine (82 citations), Hematology (102 citations) and Neurology (46 citations). Yi Jin has collaborated with scholars based in China, Switzerland and United States. Frequent co-authors include Nico Cerletti, Gian Camenisch, Markus Zollinger, Zudong Liu, Jin‐Ao Duan, Robert C. Hider, Yuping Tang, Hicham Khodr, Haiyan Xu and Han‐Qing Pang. Their work appears in journals such as Drug Metabolism and Disposition, Journal of Chromatography B, Asian Journal of Pharmaceutical Sciences, Journal of Pharmaceutical and Biomedical Analysis 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.