Hung‐Wei Pan
Impact in
- Cancer Research top 5%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Cancer, Hypoxia, and Metabolism
- Hepatology top 10%
Papers in
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- MicroRNA in disease regulation 4
- Cancer-related molecular mechanisms research 2
-
- Microtubule and mitosis dynamics 5
- Co-authors
- Hey‐Chi Hsu (9 shared papers)Po‐Lin Lai (7 shared papers)Shian‐Yang Peng (5 shared papers)Yung‐Ming Jeng (7 shared papers)Po‐Huang Lee (3 shared papers)Kuo‐Wang Tsai (5 shared papers)Y.-H. Ou (4 shared papers)Fu‐Chang Hu (4 shared papers)
- Journals
- Clinical Cancer Research (2 papers)OncoTargets and Therapy (2 papers)Carcinogenesis (2 papers)Scientific Reports (1 paper)BMC Genomics (1 paper)
- Partner nations
- TaiwanUnited Arab EmiratesGreece
In The Last Decade
Hung‐Wei Pan
26 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 85
- Cancer Research 378
- Hepatology 93
- Cell Biology 177
- Molecular Biology 683
- Rheumatology 132
Countries citing papers authored by Hung‐Wei Pan
This map shows the geographic impact of Hung‐Wei 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 Hung‐Wei Pan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hung‐Wei Pan more than expected).
Fields of papers citing papers by Hung‐Wei Pan
This network shows the impact of papers produced by Hung‐Wei 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 Hung‐Wei Pan. The network helps show where Hung‐Wei Pan may publish in the future.
Co-authors
The 25 scholars most cited alongside Hung‐Wei 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 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2003 | 225 | |
| 2 | 2010 | 107 | |
| 3 | 2008 | 106 | |
| 4 | 2010 | 89 | |
| 5 | 2008 | 83 | |
| 6 | 2008 | 77 | |
| 7 | 2014 | 71 | |
| 8 | 2007 | 67 | |
| 9 | 2012 | 64 | |
| 10 | 2007 | 56 | |
| 11 | 2012 | 50 | |
| 12 | 2015 | 50 | |
| 13 | 2016 | 41 | |
| 14 | 2017 | 36 | |
| 15 | 2013 | 34 | |
| 16 | 2017 | 32 | |
| 17 | 2018 | 28 | |
| 18 | 2005 | 27 | |
| 19 | 2019 | 21 | |
| 20 | 2018 | 19 |
About Hung‐Wei Pan
Hung‐Wei Pan is a scholar working on Cancer Research, Cell Biology, Molecular Biology, Oncology and Epidemiology, having authored 26 papers that have together received 1.3k indexed citations. Recurring topics across this work include RNA modifications and cancer (7 papers), Microtubule and mitosis dynamics (5 papers), MicroRNA in disease regulation (4 papers), Epigenetics and DNA Methylation (3 papers), S100 Proteins and Annexins (3 papers), Circular RNAs in diseases (2 papers), Cancer-related molecular mechanisms research (2 papers) and Autophagy in Disease and Therapy (2 papers). The work is most often cited by research in Cancer Research (378 citations), Hepatology (93 citations), Cell Biology (177 citations), Molecular Biology (683 citations) and Rheumatology (132 citations). Hung‐Wei Pan has collaborated with scholars based in Taiwan, United Arab Emirates and Greece. Frequent co-authors include Hey‐Chi Hsu, Po‐Lin Lai, Shian‐Yang Peng, Yung‐Ming Jeng, Po‐Huang Lee, Kuo‐Wang Tsai, Y.-H. Ou, Fu‐Chang Hu, Sung‐Chou Li and Chi‐Ling Chen. Their work appears in journals such as Clinical Cancer Research, OncoTargets and Therapy, Carcinogenesis, Scientific Reports and BMC Genomics.
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.