Sen Zhong
Impact in
- Hepatology top 2%
- Hepatitis C virus research
- Transplantation top 5%
Papers in
- Epidemiology 10
- Hepatitis B Virus Studies 8
- Liver Disease Diagnosis and Treatment 4
- Co-authors
- Winnie Yeo (4 shared papers)Philip J. Johnson (3 shared papers)Paul K.S. Chan (3 shared papers)Benny Zee (2 shared papers)Wing Ming Ho (2 shared papers)K.C. Lam (1 shared paper)Xianjie Tan (8 shared papers)Ming Wu (8 shared papers)
- Journals
- Journal of Viral Hepatitis (3 papers)Evidence-based Complementary and Alternative Medicine (3 papers)Medicine (3 papers)Trials (2 papers)Journal of Ethnopharmacology (2 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Sen Zhong
55 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 83
- Hepatology 255
- Transplantation 50
- Obstetrics and Gynecology 89
- Epidemiology 398
- Oncology 240
Countries citing papers authored by Sen Zhong
This map shows the geographic impact of Sen Zhong'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 Sen Zhong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sen Zhong more than expected).
Fields of papers citing papers by Sen Zhong
This network shows the impact of papers produced by Sen Zhong. 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 Sen Zhong. The network helps show where Sen Zhong may publish in the future.
Co-authors
The 25 scholars most cited alongside Sen Zhong, 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 56 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2004 | 253 | |
| 2 | 2009 | 132 | |
| 3 | 2008 | 101 | |
| 4 | 2004 | 83 | |
| 5 | 2011 | 56 | |
| 6 | 2000 | 48 | |
| 7 | 2006 | 42 | |
| 8 | 2018 | 35 | |
| 9 | 1999 | 35 | |
| 10 | 2000 | 33 | |
| 11 | 2019 | 29 | |
| 12 | 2020 | 27 | |
| 13 | 2019 | 27 | |
| 14 | 2019 | 24 | |
| 15 | 2013 | 21 | |
| 16 | 2018 | 20 | |
| 17 | 2014 | 17 | |
| 18 | 2016 | 16 | |
| 19 | 1998 | 16 | |
| 20 | 2013 | 14 |
About Sen Zhong
Sen Zhong is a scholar working on Epidemiology, Molecular Biology, Oncology, Hepatology and Obstetrics and Gynecology, having authored 56 papers that have together received 1.2k indexed citations. Recurring topics across this work include Hepatitis B Virus Studies (8 papers), Endometrial and Cervical Cancer Treatments (6 papers), Hepatitis C virus research (5 papers), Liver Disease Diagnosis and Treatment (4 papers), Ovarian cancer diagnosis and treatment (3 papers), Pain Management and Treatment (2 papers), Renal cell carcinoma treatment (2 papers) and Chronic Kidney Disease and Diabetes (2 papers). The work is most often cited by research in Hepatology (255 citations), Transplantation (50 citations), Obstetrics and Gynecology (89 citations), Epidemiology (398 citations) and Oncology (240 citations). Sen Zhong has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Winnie Yeo, Philip J. Johnson, Paul K.S. Chan, Benny Zee, Wing Ming Ho, K.C. Lam, Xianjie Tan, Ming Wu, Shuiqing Ma and Lei Li. Their work appears in journals such as Journal of Viral Hepatitis, Evidence-based Complementary and Alternative Medicine, Medicine, Trials and Journal of Ethnopharmacology.
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.