Qin-Yan Chen
Impact in
- Hepatology top 5%
- Hepatitis C virus research
- Hepatitis Viruses Studies and Epidemiology
- Hepatocellular Carcinoma Treatment and Prognosis
- Epidemiology top 10%
- Hepatitis B Virus Studies
- Liver Disease Diagnosis and Treatment
Papers in
- Epidemiology 12
- Hepatitis B Virus Studies 12
- Liver Disease Diagnosis and Treatment 3
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- Hepatitis C virus research 7
- Hepatitis Viruses Studies and Epidemiology 3
- Co-authors
- Zhong‐Liao Fang (17 shared papers)Xueyan Wang (15 shared papers)Tim J. Harrison (12 shared papers)Jin-ye Yang (4 shared papers)Caroline Sabin (3 shared papers)Baiqing Dong (2 shared papers)Lianying Ge (1 shared paper)Liping Hu (8 shared papers)
- Journals
- Journal of General Virology (2 papers)Applied Biochemistry and Biotechnology (1 paper)Human Vaccines & Immunotherapeutics (1 paper)Cancer Biomarkers (1 paper)PLoS ONE (1 paper)
- Partner nations
- ChinaUnited KingdomUnited States
In The Last Decade
Qin-Yan Chen
17 papers receiving 277 citations
Peers
Comparison fields: 5 of 31
- Hepatology 152
- Epidemiology 238
- Virology 7
- Infectious Diseases 20
- Biological Psychiatry 2
Countries citing papers authored by Qin-Yan Chen
This map shows the geographic impact of Qin-Yan Chen'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 Qin-Yan Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Qin-Yan Chen more than expected).
Fields of papers citing papers by Qin-Yan Chen
This network shows the impact of papers produced by Qin-Yan Chen. 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 Qin-Yan Chen. The network helps show where Qin-Yan Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Qin-Yan Chen, 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 | 2008 | 88 | |
| 2 | 2008 | 85 | |
| 3 | 2015 | 19 | |
| 4 | 2024 | 14 | |
| 5 | 2016 | 14 | |
| 6 | 2021 | 8 | |
| 7 | 2014 | 8 | |
| 8 | 2019 | 8 | |
| 9 | 2018 | 7 | |
| 10 | 2021 | 6 | |
| 11 | 2023 | 4 | |
| 12 | 2016 | 4 | |
| 13 | 2020 | 4 | |
| 14 | 2019 | 3 | |
| 15 | [A prospective study of the relationship between serum hepatitis B virus DNA and the risk of primary liver cancer]. | 2009 | 3 |
| 16 | 2025 | 2 | |
| 17 | 2017 | 2 | |
| 18 | 2026 | 0 |
About Qin-Yan Chen
Qin-Yan Chen is a scholar working on Epidemiology, Hepatology, Infectious Diseases, Surgery and Genetics, having authored 18 papers that have together received 279 indexed citations. Recurring topics across this work include Hepatitis B Virus Studies (12 papers), Hepatitis C virus research (7 papers), Hepatitis Viruses Studies and Epidemiology (3 papers), Liver Disease Diagnosis and Treatment (3 papers), Vibrio bacteria research studies (1 paper), Biochemical Acid Research Studies (1 paper), Bone and Dental Protein Studies (1 paper) and Neuroinflammation and Neurodegeneration Mechanisms (1 paper). The work is most often cited by research in Hepatology (152 citations), Epidemiology (238 citations), Virology (7 citations), Infectious Diseases (20 citations) and Biological Psychiatry (2 citations). Qin-Yan Chen has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Zhong‐Liao Fang, Xueyan Wang, Tim J. Harrison, Jin-ye Yang, Caroline Sabin, Baiqing Dong, Lianying Ge, Liping Hu, Qingli Yang and Xiang He. Their work appears in journals such as Journal of General Virology, Applied Biochemistry and Biotechnology, Human Vaccines & Immunotherapeutics, Cancer Biomarkers and PLoS ONE.
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.