Ze‐Ya Pan
Impact in
- Hepatology top 0.5%
- Hepatocellular Carcinoma Treatment and Prognosis
- Hepatitis C virus research
- Liver Disease and Transplantation
- Cancer Research top 5%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
Papers in ⓘ
- Hepatology 35
- Hepatocellular Carcinoma Treatment and Prognosis 33
- Liver Disease and Transplantation 9
- Hepatitis C virus research 4
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- Cancer, Lipids, and Metabolism 4
- Co-authors
- Weiping Zhou (36 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)Aijun Li (10 shared papers)
- Journals
- Annals of Surgery (5 papers)Oncotarget (3 papers)Journal of Gastrointestinal Surgery (3 papers)World Journal of Surgery (2 papers)Biological Research (2 papers)
- Partner nations
- ChinaHong KongUnited States
In The Last Decade
Ze‐Ya Pan
54 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 86
- Hepatology 1.2k
- Cancer Research 449
- Epidemiology 728
- Oncology 478
- Immunology 233
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 | 233 | |
| 2 | 2010 | 218 | |
| 3 | 2013 | 191 | |
| 4 | 2009 | 158 | |
| 5 | 2014 | 154 | |
| 6 | 2012 | 97 | |
| 7 | 2018 | 94 | |
| 8 | 2008 | 74 | |
| 9 | 2014 | 65 | |
| 10 | 2010 | 53 | |
| 11 | 2017 | 50 | |
| 12 | 2009 | 48 | |
| 13 | 2014 | 47 | |
| 14 | 2007 | 34 | |
| 15 | 2014 | 33 | |
| 16 | 2012 | 32 | |
| 17 | 2014 | 31 | |
| 18 | 2017 | 28 | |
| 19 | 2018 | 27 | |
| 20 | 2020 | 26 |
About Ze‐Ya Pan
Ze‐Ya Pan is a scholar working on Hepatology, Cancer Research, Epidemiology, Surgery and Oncology, having authored 55 papers that have together received 2.1k indexed citations. Recurring topics across this work include Hepatocellular Carcinoma Treatment and Prognosis (33 papers), Liver Disease Diagnosis and Treatment (14 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (10 papers), Liver Disease and Transplantation (9 papers), Hepatitis B Virus Studies (9 papers), Organ Transplantation Techniques and Outcomes (9 papers), Cancer, Lipids, and Metabolism (4 papers) and Hepatitis C virus research (4 papers). The work is most often cited by research in Hepatology (1.2k citations), Cancer Research (449 citations), Epidemiology (728 citations), Oncology (478 citations) and Immunology (233 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, Aijun Li, Weiping Zhou and Shengxian Yuan. Their work appears in journals such as Annals of Surgery, Oncotarget, Journal of Gastrointestinal Surgery, World Journal of Surgery 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.