Zhang‐Bin Tan
Impact in
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- Traditional Chinese Medicine Analysis
- Pharmacology top 5%
- Pharmacological Effects of Natural Compounds
Papers in
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- Genomics, phytochemicals, and oxidative stress 2
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- Traditional Chinese Medicine Analysis 5
- Co-authors
- Bin Liu (25 shared papers)Yingchun Zhou (18 shared papers)Huijie Fan (16 shared papers)Lingpeng Xie (14 shared papers)Yuting Wu (7 shared papers)Honglin Xu (8 shared papers)Wentong Zhang (6 shared papers)Guang‐Hong Chen (7 shared papers)
- Journals
- Journal of Ethnopharmacology (5 papers)Phytomedicine (5 papers)Phytotherapy Research (3 papers)Frontiers in Pharmacology (3 papers)Journal of Ginseng Research (2 papers)
- Partner nations
- ChinaHong KongUnited States
In The Last Decade
Zhang‐Bin Tan
29 papers receiving 622 citations
Peers
Comparison fields: 5 of 80
- Complementary and alternative medicine 79
- Pharmacology 82
- Dermatology 39
- Cancer Research 55
- Pathology and Forensic Medicine 63
Countries citing papers authored by Zhang‐Bin Tan
This map shows the geographic impact of Zhang‐Bin Tan'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 Zhang‐Bin Tan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zhang‐Bin Tan more than expected).
Fields of papers citing papers by Zhang‐Bin Tan
This network shows the impact of papers produced by Zhang‐Bin Tan. 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 Zhang‐Bin Tan. The network helps show where Zhang‐Bin Tan may publish in the future.
Co-authors
The 25 scholars most cited alongside Zhang‐Bin Tan, 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 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 56 | |
| 2 | 2021 | 50 | |
| 3 | 2015 | 36 | |
| 4 | 2018 | 32 | |
| 5 | 2021 | 31 | |
| 6 | 2021 | 31 | |
| 7 | 2018 | 30 | |
| 8 | 2022 | 28 | |
| 9 | 2019 | 27 | |
| 10 | 2019 | 25 | |
| 11 | 2021 | 23 | |
| 12 | 2018 | 23 | |
| 13 | 2018 | 22 | |
| 14 | 2024 | 20 | |
| 15 | 2022 | 20 | |
| 16 | 2018 | 20 | |
| 17 | 2021 | 19 | |
| 18 | 2021 | 18 | |
| 19 | 2022 | 17 | |
| 20 | 2021 | 17 |
About Zhang‐Bin Tan
Zhang‐Bin Tan is a scholar working on Molecular Biology, Complementary and alternative medicine, Cardiology and Cardiovascular Medicine, Pharmacology and Pathology and Forensic Medicine, having authored 30 papers that have together received 625 indexed citations. Recurring topics across this work include Traditional Chinese Medicine Analysis (5 papers), Pharmacological Effects of Natural Compounds (3 papers), Cytokine Signaling Pathways and Interactions (3 papers), Cardiac Fibrosis and Remodeling (3 papers), Cardiac electrophysiology and arrhythmias (2 papers), Ferroptosis and cancer prognosis (2 papers), Genomics, phytochemicals, and oxidative stress (2 papers) and Dermatology and Skin Diseases (2 papers). The work is most often cited by research in Complementary and alternative medicine (79 citations), Pharmacology (82 citations), Dermatology (39 citations), Cancer Research (55 citations) and Pathology and Forensic Medicine (63 citations). Zhang‐Bin Tan has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Bin Liu, Yingchun Zhou, Huijie Fan, Lingpeng Xie, Yuting Wu, Honglin Xu, Wentong Zhang, Guang‐Hong Chen, Bo Deng and Hongmei Chen. Their work appears in journals such as Journal of Ethnopharmacology, Phytomedicine, Phytotherapy Research, Frontiers in Pharmacology and Journal of Ginseng 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.