Jinfa Tang
Impact in
- Pharmacology top 1%
- Drug-Induced Hepatotoxicity and Protection
- Pharmacological Effects of Natural Compounds
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- Traditional Chinese Medicine Analysis
Papers in
-
- Metabolomics and Mass Spectrometry Studies 6
- Pharmacology 24
- Pharmacological Effects of Natural Compounds 14
- Drug-Induced Hepatotoxicity and Protection 12
- Plant-based Medicinal Research 6
- Co-authors
- Xiaohe Xiao (13 shared papers)Peifu Gu (15 shared papers)Zhaofang Bai (9 shared papers)Dongwei Zhang (5 shared papers)Lili Wang (5 shared papers)Ruyuan Zhu (5 shared papers)Chenyue Liu (3 shared papers)Ming Niu (9 shared papers)
In The Last Decade
Jinfa Tang
68 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 115
- Pharmacology 344
- Complementary and alternative medicine 162
- Biological Psychiatry 21
- Molecular Biology 397
- Plant Science 196
Countries citing papers authored by Jinfa Tang
This map shows the geographic impact of Jinfa Tang'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 Jinfa Tang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jinfa Tang more than expected).
Fields of papers citing papers by Jinfa Tang
This network shows the impact of papers produced by Jinfa Tang. 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 Jinfa Tang. The network helps show where Jinfa Tang may publish in the future.
Co-authors
The 25 scholars most cited alongside Jinfa Tang, 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 76 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 140 | |
| 2 | 2019 | 109 | |
| 3 | 2019 | 105 | |
| 4 | 2017 | 70 | |
| 5 | 2019 | 43 | |
| 6 | 2017 | 41 | |
| 7 | 2017 | 39 | |
| 8 | 2019 | 38 | |
| 9 | 1989 | 27 | |
| 10 | 1997 | 27 | |
| 11 | 2015 | 23 | |
| 12 | 2017 | 20 | |
| 13 | 2017 | 19 | |
| 14 | 2020 | 18 | |
| 15 | 2016 | 18 | |
| 16 | 2023 | 17 | |
| 17 | 2021 | 16 | |
| 18 | 2017 | 15 | |
| 19 | 2018 | 14 | |
| 20 | 1997 | 14 |
About Jinfa Tang
Jinfa Tang is a scholar working on Molecular Biology, Pharmacology, Complementary and alternative medicine, Electrical and Electronic Engineering and Computational Mechanics, having authored 76 papers that have together received 1.0k indexed citations. Recurring topics across this work include Pharmacological Effects of Natural Compounds (14 papers), Drug-Induced Hepatotoxicity and Protection (12 papers), Traditional Chinese Medicine Analysis (10 papers), Optical Coatings and Gratings (8 papers), Surface Roughness and Optical Measurements (7 papers), Semiconductor Lasers and Optical Devices (6 papers), Plant-based Medicinal Research (6 papers) and Metabolomics and Mass Spectrometry Studies (6 papers). The work is most often cited by research in Pharmacology (344 citations), Complementary and alternative medicine (162 citations), Biological Psychiatry (21 citations), Molecular Biology (397 citations) and Plant Science (196 citations). Jinfa Tang has collaborated with scholars based in China, Canada and Russia. Frequent co-authors include Xiaohe Xiao, Peifu Gu, Zhaofang Bai, Dongwei Zhang, Lili Wang, Ruyuan Zhu, Chenyue Liu, Ming Niu, Weixia Li and Zhengsheng Zou. Their work appears in journals such as Frontiers in Pharmacology, Journal of Ethnopharmacology, Thin Solid Films, Evidence-based Complementary and Alternative Medicine and Chinese Medicine.
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.