Bin Wen
Impact in
- Pharmacology top 10%
- Berberine and alkaloids research
- Alkaloids: synthesis and pharmacology
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- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
Papers in
-
- Epigenetics and DNA Methylation 4
- Histone Deacetylase Inhibitors Research 2
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- Berberine and alkaloids research 3
- Pharmacological Effects of Natural Compounds 2
- Inflammatory mediators and NSAID effects 1
- Co-authors
- Chao Huang (5 shared papers)Liyun Wu (3 shared papers)Yuqi Liang (4 shared papers)Huixuan Li (3 shared papers)Hong Liu (1 shared paper)Feifei Nong (4 shared papers)Huiming Hua (2 shared papers)Dahong Li (2 shared papers)
- Journals
- Oncology Reports (3 papers)Biomedical Chromatography (2 papers)Journal of Hepatology (1 paper)Translational Oncology (1 paper)Journal of Natural Products (1 paper)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Bin Wen
21 papers receiving 417 citations
Peers
Comparison fields: 5 of 67
- Pharmacology 51
- Cancer Research 81
- Pharmacology 79
- Molecular Biology 216
- Organic Chemistry 67
Countries citing papers authored by Bin Wen
This map shows the geographic impact of Bin Wen'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 Bin Wen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bin Wen more than expected).
Fields of papers citing papers by Bin Wen
This network shows the impact of papers produced by Bin Wen. 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 Bin Wen. The network helps show where Bin Wen may publish in the future.
Co-authors
The 25 scholars most cited alongside Bin Wen, 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 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 81 | |
| 2 | 2016 | 60 | |
| 3 | 2017 | 52 | |
| 4 | 2020 | 48 | |
| 5 | 2017 | 40 | |
| 6 | 2016 | 23 | |
| 7 | 2018 | 17 | |
| 8 | 2016 | 16 | |
| 9 | 2015 | 12 | |
| 10 | 2016 | 12 | |
| 11 | 2020 | 11 | |
| 12 | 2021 | 8 | |
| 13 | 2021 | 8 | |
| 14 | 2021 | 6 | |
| 15 | 2009 | 6 | |
| 16 | 2016 | 5 | |
| 17 | 2012 | 5 | |
| 18 | 2009 | 4 | |
| 19 | 2015 | 3 | |
| 20 | 2024 | 2 |
About Bin Wen
Bin Wen is a scholar working on Molecular Biology, Pharmacology, Oncology, Pharmacology and Immunology, having authored 21 papers that have together received 420 indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (4 papers), Berberine and alkaloids research (3 papers), MicroRNA in disease regulation (3 papers), Pharmacological Effects of Natural Compounds (2 papers), Histone Deacetylase Inhibitors Research (2 papers), Cell Adhesion Molecules Research (2 papers), Bone and Dental Protein Studies (1 paper) and Inflammatory mediators and NSAID effects (1 paper). The work is most often cited by research in Pharmacology (51 citations), Cancer Research (81 citations), Pharmacology (79 citations), Molecular Biology (216 citations) and Organic Chemistry (67 citations). Bin Wen has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Chao Huang, Liyun Wu, Yuqi Liang, Huixuan Li, Hong Liu, Feifei Nong, Hong Liu, Huiming Hua, Dahong Li and Kai‐Bo Wang. Their work appears in journals such as Oncology Reports, Biomedical Chromatography, Journal of Hepatology, Translational Oncology and Journal of Natural Products.
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.