Hung‐Wei Pan
- Cancer Research top 5%
- MicroRNA in disease regulation 5
- Cancer-related molecular mechanisms research 3
- Hepatology top 5%
- Molecular Biology top 10%
- RNA modifications and cancer 10
- Epigenetics and DNA Methylation 6
- Ubiquitin and proteasome pathways 4
- Circular RNAs in diseases 3
- Cell Biology top 10%
- Microtubule and mitosis dynamics 5
- Oncology top 10%
- Cancer-related Molecular Pathways 3
- Co-authors
- Hey‐Chi HsuPo‐Lin LaiYung‐Ming JengShian‐Yang PengKuo‐Wang TsaiPo‐Huang LeeFu‐Chang HuY.-H. Ou
- Journals
- Clinical Cancer Research (2 papers)Carcinogenesis (2 papers)OncoTargets and Therapy (2 papers)
- Partner nations
- TaiwanUnited StatesGreece
In The Last Decade
Hung‐Wei Pan
28 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 90
- Cancer Research 524
- Hepatology 128
- Molecular Biology 877
- Cell Biology 180
- Oncology 276
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-authorship network
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
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 1 | |
| 2 | 2018 | 28 | |
| 3 | 2018 | 19 | |
| 4 | 2017 | 36 | |
| 5 | 2016 | 41 | |
| 6 | 2015 | 48 | |
| 7 | 2014 | 70 | |
| 8 | 2013 | 32 | |
| 9 | 2012 | 41 | |
| 10 | 2012 | 48 | |
| 11 | 2010 | 88 | |
| 12 | 2010 | 103 | |
| 13 | 2008 | 105 | |
| 14 | 2008 | 1 | |
| 15 | 2008 | 77 | |
| 16 | 2008 | 75 | |
| 17 | 2006 | 20 | |
| 18 | Aberrant expressions of annexin A10 short isoform, osteopontin and alpha-fetoprotein at chromosome 4q cooperatively contribute to progression and poor prognosis of hepatocellular carcinoma. | 2005 | 17 |
| 19 | Synergistic effects of aberrant expression of alpha-fetoprotein, annexin A10 and osteopontin at chromosome 4q in the tumor progression, early recurrence and poor prognosis of hepatocellular carcinoma | 2004 | 1 |
| 20 | 2003 | 216 |
About Hung‐Wei Pan
Hung‐Wei Pan is a scholar working on Cancer Research, Cell Biology, Molecular Biology, Oncology and Biophysics, having authored 28 papers that have together received 1.3k indexed citations. Recurring topics across this work include RNA modifications and cancer (10 papers), Epigenetics and DNA Methylation (6 papers), Microtubule and mitosis dynamics (5 papers), MicroRNA in disease regulation (5 papers), Ubiquitin and proteasome pathways (4 papers), Circular RNAs in diseases (3 papers), Cancer-related molecular mechanisms research (3 papers) and Cancer-related Molecular Pathways (3 papers). The work is most often cited by research in Cancer Research (524 citations), Hepatology (128 citations), Molecular Biology (877 citations), Cell Biology (180 citations) and Oncology (276 citations). Hung‐Wei Pan has collaborated with scholars based in Taiwan, United States and Greece. Frequent co-authors include Hey‐Chi Hsu, Po‐Lin Lai, Yung‐Ming Jeng, Shian‐Yang Peng, Kuo‐Wang Tsai, Po‐Huang Lee, Fu‐Chang Hu, Y.-H. Ou, Sung‐Chou Li and Chi‐Ling Chen. Their work appears in journals such as Clinical Cancer Research, Carcinogenesis, OncoTargets and Therapy, Cancer Research and Cancer.
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.