Bin Pan
Impact in
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
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- Spinal Cord Injury Research
Papers in
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- Cancer-related molecular mechanisms research 10
- MicroRNA in disease regulation 6
- Cancer, Hypoxia, and Metabolism 3
- Sesquiterpenes and Asteraceae Studies 2
- Cancer, Lipids, and Metabolism 2
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- Circular RNAs in diseases 6
- Cancer-related gene regulation 3
- Co-authors
- Zhongju Shi (5 shared papers)Shiqing Feng (3 shared papers)Zhijian Wei (4 shared papers)Hengxing Zhou (4 shared papers)Xiaohong Kong (4 shared papers)Zexuan Su (3 shared papers)Jing Chu (2 shared papers)Xiaohong Wang (2 shared papers)
- Journals
- Frontiers in Pharmacology (2 papers)Molecular Biology Reports (2 papers)BioMed Research International (2 papers)Journal of Nanoscience and Nanotechnology (1 paper)Journal of Bacteriology (1 paper)
- Partner nations
- ChinaUnited States
In The Last Decade
Bin Pan
34 papers receiving 662 citations
Peers
Comparison fields: 5 of 81
- Cancer Research 229
- Pathology and Forensic Medicine 92
- Molecular Biology 327
- Toxicology 13
- Developmental Neuroscience 12
Countries citing papers authored by Bin Pan
This map shows the geographic impact of Bin Pan'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 Pan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bin Pan more than expected).
Fields of papers citing papers by Bin Pan
This network shows the impact of papers produced by Bin Pan. 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 Pan. The network helps show where Bin Pan may publish in the future.
Co-authors
The 25 scholars most cited alongside Bin Pan, 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 35 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 72 | |
| 2 | 2016 | 58 | |
| 3 | 2014 | 53 | |
| 4 | 2016 | 51 | |
| 5 | 2018 | 45 | |
| 6 | 2019 | 33 | |
| 7 | 2012 | 33 | |
| 8 | 1996 | 32 | |
| 9 | 2017 | 31 | |
| 10 | 2015 | 29 | |
| 11 | 2018 | 28 | |
| 12 | 2017 | 28 | |
| 13 | 2020 | 23 | |
| 14 | 2018 | 23 | |
| 15 | 2023 | 18 | |
| 16 | 2020 | 16 | |
| 17 | 2020 | 12 | |
| 18 | 2016 | 11 | |
| 19 | 2022 | 11 | |
| 20 | 2018 | 9 |
About Bin Pan
Bin Pan is a scholar working on Cancer Research, Molecular Biology, Pulmonary and Respiratory Medicine, Pharmacology and Genetics, having authored 35 papers that have together received 668 indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (10 papers), Circular RNAs in diseases (6 papers), MicroRNA in disease regulation (6 papers), Ferroptosis and cancer prognosis (3 papers), Cancer-related gene regulation (3 papers), Cancer, Hypoxia, and Metabolism (3 papers), Sesquiterpenes and Asteraceae Studies (2 papers) and Cancer, Lipids, and Metabolism (2 papers). The work is most often cited by research in Cancer Research (229 citations), Pathology and Forensic Medicine (92 citations), Molecular Biology (327 citations), Toxicology (13 citations) and Developmental Neuroscience (12 citations). Bin Pan has collaborated with scholars based in China and United States. Frequent co-authors include Zhongju Shi, Shiqing Feng, Zhijian Wei, Hengxing Zhou, Xiaohong Kong, Zexuan Su, Jing Chu, Xiaohong Wang, Feng Li and Caiyong Lai. Their work appears in journals such as Frontiers in Pharmacology, Molecular Biology Reports, BioMed Research International, Journal of Nanoscience and Nanotechnology and Journal of Bacteriology.
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.