Ze‐Ya Pan
Impact in
- Hepatology top 0.5%
- Hepatocellular Carcinoma Treatment and Prognosis
- Cancer Research top 5%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
Papers in
- Hepatology 26
- Hepatocellular Carcinoma Treatment and Prognosis 25
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- Ubiquitin and proteasome pathways 3
- RNA Research and Splicing 2
- Co-authors
- Weiping Zhou (35 shared papers)Wan Yee Lau (20 shared papers)Yuan Yang (22 shared papers)Mengchao Wu (15 shared papers)Eric C. H. Lai (7 shared papers)Gang Huang (16 shared papers)Siyuan Fu (19 shared papers)Weiping Zhou (8 shared papers)
- Journals
- Annals of Surgery (5 papers)Oncotarget (3 papers)Journal of Gastrointestinal Surgery (3 papers)Molecular Oncology (2 papers)Biological Research (2 papers)
- Partner nations
- ChinaHong KongUnited States
In The Last Decade
Ze‐Ya Pan
53 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 76
- Hepatology 951
- Cancer Research 335
- Oncology 356
- Epidemiology 435
- Immunology 214
Countries citing papers authored by Ze‐Ya Pan
This map shows the geographic impact of Ze‐Ya 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 Ze‐Ya Pan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ze‐Ya Pan more than expected).
Fields of papers citing papers by Ze‐Ya Pan
This network shows the impact of papers produced by Ze‐Ya 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 Ze‐Ya Pan. The network helps show where Ze‐Ya Pan may publish in the future.
Co-authors
The 25 scholars most cited alongside Ze‐Ya 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 55 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 237 | |
| 2 | 2010 | 220 | |
| 3 | 2013 | 193 | |
| 4 | 2009 | 157 | |
| 5 | 2014 | 155 | |
| 6 | 2018 | 98 | |
| 7 | 2012 | 97 | |
| 8 | 2008 | 74 | |
| 9 | 2014 | 65 | |
| 10 | 2017 | 50 | |
| 11 | 2009 | 48 | |
| 12 | 2014 | 47 | |
| 13 | 2007 | 34 | |
| 14 | 2014 | 33 | |
| 15 | 2012 | 32 | |
| 16 | 2014 | 31 | |
| 17 | 2017 | 29 | |
| 18 | 2018 | 27 | |
| 19 | 2020 | 26 | |
| 20 | 2013 | 24 |
About Ze‐Ya Pan
Ze‐Ya Pan is a scholar working on Hepatology, Molecular Biology, Oncology, Cancer Research and Surgery, having authored 55 papers that have together received 2.0k indexed citations. Recurring topics across this work include Hepatocellular Carcinoma Treatment and Prognosis (25 papers), Ubiquitin and proteasome pathways (3 papers), T-cell and B-cell Immunology (2 papers), Liver Disease Diagnosis and Treatment (2 papers), Cancer, Lipids, and Metabolism (2 papers), RNA Research and Splicing (2 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (2 papers) and Hippo pathway signaling and YAP/TAZ (2 papers). The work is most often cited by research in Hepatology (951 citations), Cancer Research (335 citations), Oncology (356 citations), Epidemiology (435 citations) and Immunology (214 citations). Ze‐Ya Pan has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Weiping Zhou, Wan Yee Lau, Yuan Yang, Mengchao Wu, Eric C. H. Lai, Gang Huang, Siyuan Fu, Weiping Zhou, Aijun Li and Shengxian Yuan. Their work appears in journals such as Annals of Surgery, Oncotarget, Journal of Gastrointestinal Surgery, Molecular Oncology and Biological 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.