Wei Cun
Impact in
- Hepatology top 2%
- Hepatitis C virus research
- Epidemiology top 10%
- Hepatitis B Virus Studies
- Liver Disease Diagnosis and Treatment
- Herpesvirus Infections and Treatments
Papers in
- Epidemiology 18
- Herpesvirus Infections and Treatments 12
- Cytomegalovirus and herpesvirus research 6
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- Viral Infectious Diseases and Gene Expression in Insects 3
- Co-authors
- Jieyun Jiang (2 shared papers)Guangxiang Luo (2 shared papers)Qihan Li (13 shared papers)Qing Shi (1 shared paper)Xianfang Wu (1 shared paper)Yanwei Bi (7 shared papers)Hengli Tang (1 shared paper)Zhihua Li (3 shared papers)
- Journals
- Journal of Virology (3 papers)Transfusion (1 paper)International Nursing Review (1 paper)The Journal of Immunology (1 paper)BMC Psychiatry (1 paper)
- Partner nations
- ChinaUnited StatesItaly
In The Last Decade
Wei Cun
32 papers receiving 657 citations
Peers
Comparison fields: 5 of 72
- Hepatology 261
- Epidemiology 331
- Virology 47
- Immunology 84
- Rheumatology 50
Countries citing papers authored by Wei Cun
This map shows the geographic impact of Wei Cun'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 Cun with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wei Cun more than expected).
Fields of papers citing papers by Wei Cun
This network shows the impact of papers produced by Wei Cun. 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 Cun. The network helps show where Wei Cun may publish in the future.
Co-authors
The 25 scholars most cited alongside Wei Cun, 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 34 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 136 | |
| 2 | 2014 | 133 | |
| 3 | 2010 | 108 | |
| 4 | 2013 | 41 | |
| 5 | 2013 | 38 | |
| 6 | 2015 | 20 | |
| 7 | 2017 | 18 | |
| 8 | 2016 | 17 | |
| 9 | 2019 | 15 | |
| 10 | 2023 | 14 | |
| 11 | 2006 | 13 | |
| 12 | 2017 | 13 | |
| 13 | 2022 | 11 | |
| 14 | 2020 | 10 | |
| 15 | 2009 | 10 | |
| 16 | 2008 | 9 | |
| 17 | 2009 | 8 | |
| 18 | 2022 | 8 | |
| 19 | 2020 | 7 | |
| 20 | 2020 | 6 |
About Wei Cun
Wei Cun is a scholar working on Epidemiology, Molecular Biology, Immunology, Hepatology and Infectious Diseases, having authored 34 papers that have together received 661 indexed citations. Recurring topics across this work include Herpesvirus Infections and Treatments (12 papers), Hepatitis C virus research (6 papers), Cytomegalovirus and herpesvirus research (6 papers), Systemic Lupus Erythematosus Research (5 papers), Toxin Mechanisms and Immunotoxins (4 papers), Virus-based gene therapy research (4 papers), SARS-CoV-2 and COVID-19 Research (3 papers) and Viral Infectious Diseases and Gene Expression in Insects (3 papers). The work is most often cited by research in Hepatology (261 citations), Epidemiology (331 citations), Virology (47 citations), Immunology (84 citations) and Rheumatology (50 citations). Wei Cun has collaborated with scholars based in China, United States and Italy. Frequent co-authors include Jieyun Jiang, Guangxiang Luo, Qihan Li, Qing Shi, Xianfang Wu, Yanwei Bi, Hengli Tang, Zhihua Li, Yadong Li and Le Sun. Their work appears in journals such as Journal of Virology, Transfusion, International Nursing Review, The Journal of Immunology and BMC Psychiatry.
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.