Wei Jun Peng
Impact in
- Hepatology top 2%
- Hepatocellular Carcinoma Treatment and Prognosis
- Genetics top 2%
- Myeloproliferative Neoplasms: Diagnosis and Treatment
Papers in
- Hepatology 41
- Hepatocellular Carcinoma Treatment and Prognosis 33
- Liver Disease and Transplantation 7
- Hepatitis C virus research 6
- Oncology 29
- Inflammatory Biomarkers in Disease Prognosis 11
- Co-authors
- Qiyong Gong (5 shared papers)Zhiyun Jia (5 shared papers)John A. Sweeney (2 shared papers)Feifei Zhang (1 shared paper)John R. Bleeke (6 shared papers)Tianfu Wen (34 shared papers)Chuan Li (26 shared papers)Yuanmao Ye (4 shared papers)
- Journals
- Medicine (16 papers)Oncotarget (6 papers)Organometallics (5 papers)Blood (5 papers)Frontiers in Oncology (5 papers)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Wei Jun Peng
252 papers receiving 5.2k citations
Wei Jun Peng's Hit Papers
Peers
Comparison fields: 5 of 167
- Hepatology 494
- Genetics 581
- Biological Psychiatry 114
- Hematology 375
- Oncology 554
Countries citing papers authored by Wei Jun Peng
This map shows the geographic impact of Wei Jun Peng'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 Wei Jun Peng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wei Jun Peng more than expected).
Fields of papers citing papers by Wei Jun Peng
This network shows the impact of papers produced by Wei Jun Peng. 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 Wei Jun Peng. The network helps show where Wei Jun Peng may publish in the future.
Co-authors
The 25 scholars most cited alongside Wei Jun Peng, 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 265 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Brain structure alterations in depression: Psychoradiological evidence Hit paper breakdown → | 2018 | 381 |
| 2 | 2015 | 256 | |
| 3 | 2015 | 219 | |
| 4 | 2016 | 173 | |
| 5 | 2016 | 123 | |
| 6 | 2019 | 122 | |
| 7 | 1989 | 101 | |
| 8 | 2013 | 85 | |
| 9 | 2014 | 77 | |
| 10 | 2013 | 73 | |
| 11 | 2022 | 70 | |
| 12 | 2016 | 66 | |
| 13 | 2021 | 65 | |
| 14 | 2007 | 65 | |
| 15 | 2018 | 64 | |
| 16 | 2016 | 62 | |
| 17 | 2018 | 61 | |
| 18 | 2022 | 59 | |
| 19 | 2019 | 59 | |
| 20 | 2013 | 57 |
About Wei Jun Peng
Wei Jun Peng is a scholar working on Hepatology, Oncology, Epidemiology, Genetics and Molecular Biology, having authored 265 papers that have together received 5.3k indexed citations. Recurring topics across this work include Hepatocellular Carcinoma Treatment and Prognosis (33 papers), Liver Disease Diagnosis and Treatment (22 papers), Inflammatory Biomarkers in Disease Prognosis (11 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (8 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (7 papers), Liver Disease and Transplantation (7 papers), Hepatitis B Virus Studies (6 papers) and Hepatitis C virus research (6 papers). The work is most often cited by research in Hepatology (494 citations), Genetics (581 citations), Biological Psychiatry (114 citations), Hematology (375 citations) and Oncology (554 citations). Wei Jun Peng has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Qiyong Gong, Zhiyun Jia, John A. Sweeney, Feifei Zhang, John R. Bleeke, Tianfu Wen, Chuan Li, Yuanmao Ye, Ziqi Chen and Qiang Ni. Their work appears in journals such as Medicine, Oncotarget, Organometallics, Blood and Frontiers in Oncology.
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.