Yi Jin
Impact in
- Pharmacology top 2%
- Pharmacogenetics and Drug Metabolism
- Pharmacological Effects of Natural Compounds
- Genetics top 10%
- Hemoglobinopathies and Related Disorders
Papers in
- Pharmacology 19
- Pharmacogenetics and Drug Metabolism 12
- Pharmacological Effects of Natural Compounds 7
-
- Traditional Chinese Medicine Analysis 8
- Co-authors
- Nico CerlettiMarkus ZollingerGian CamenischZudong LiuHicham KhodrRobert C. HiderJin‐Ao DuanYuping Tang
- Journals
- Drug Metabolism and Disposition (6 papers)Journal of Chromatography B (4 papers)Asian Journal of Pharmaceutical Sciences (3 papers)Xenobiotica (3 papers)Journal of Ethnopharmacology (2 papers)
- Partner nations
- ChinaSwitzerlandUnited States
In The Last Decade
Yi Jin
51 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 108
- Pharmacology 193
- Genetics 128
- Complementary and alternative medicine 93
- Hematology 120
- Molecular Biology 422
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-authorship network
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
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 9 | |
| 2 | 2020 | 6 | |
| 3 | 2019 | 29 | |
| 4 | 2018 | 2 | |
| 5 | 2018 | 2 | |
| 6 | 2017 | 18 | |
| 7 | 2017 | 23 | |
| 8 | 2017 | 1 | |
| 9 | 2017 | 46 | |
| 10 | 2016 | 15 | |
| 11 | 2016 | 73 | |
| 12 | 2015 | 8 | |
| 13 | 2014 | 29 | |
| 14 | 2013 | 21 | |
| 15 | 2012 | 1 | |
| 16 | 2010 | 40 | |
| 17 | 2010 | 50 | |
| 18 | 1999 | 13 | |
| 19 | Western blotting of transforming growth factor beta 2. Optimization of the electrophoretic transfer. | 1992 | 12 |
| 20 | 1991 | 59 |
About Yi Jin
Yi Jin is a scholar working on Pharmacology, Complementary and alternative medicine, Pharmacology, Genetics and Hematology, having authored 51 papers that have together received 1.1k indexed citations. Recurring topics across this work include Pharmacogenetics and Drug Metabolism (12 papers), Drug Transport and Resistance Mechanisms (9 papers), Traditional Chinese Medicine Analysis (8 papers), Pharmacological Effects of Natural Compounds (7 papers), Ginseng Biological Effects and Applications (5 papers), Sphingolipid Metabolism and Signaling (5 papers), Natural product bioactivities and synthesis (4 papers) and PI3K/AKT/mTOR signaling in cancer (4 papers). The work is most often cited by research in Pharmacology (193 citations), Genetics (128 citations), Complementary and alternative medicine (93 citations), Hematology (120 citations) and Molecular Biology (422 citations). Yi Jin has collaborated with scholars based in China, Switzerland and United States. Frequent co-authors include Nico Cerletti, Markus Zollinger, Gian Camenisch, Zudong Liu, Hicham Khodr, Robert C. Hider, Jin‐Ao Duan, Yuping Tang, 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, Xenobiotica and Journal of Ethnopharmacology.
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.