Wei Cun
Impact in
- Hepatology top 5%
- Hepatitis C virus research
- Virology top 10%
- HIV Research and Treatment
Papers in
- Epidemiology 20
- Herpesvirus Infections and Treatments 12
- Cytomegalovirus and herpesvirus research 6
- Liver Disease Diagnosis and Treatment 3
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- CRISPR and Genetic Engineering 3
- Co-authors
- Guangxiang Luo (2 shared papers)Jieyun Jiang (2 shared papers)Qihan Li (13 shared papers)Hengli Tang (1 shared paper)Qing Shi (1 shared paper)Xianfang Wu (1 shared paper)Yanwei Bi (7 shared papers)Yadong Li (2 shared papers)
- Journals
- Journal of Virology (3 papers)Virus Research (1 paper)International Nursing Review (1 paper)World Neurosurgery (1 paper)BMJ Open (1 paper)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Wei Cun
33 papers receiving 628 citations
Peers
Comparison fields: 5 of 77
- Hepatology 279
- Virology 52
- Epidemiology 371
- Immunology 95
- Rheumatology 65
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 35 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 130 | |
| 2 | 2014 | 127 | |
| 3 | 2010 | 104 | |
| 4 | 2013 | 40 | |
| 5 | 2013 | 38 | |
| 6 | 2015 | 20 | |
| 7 | 2017 | 18 | |
| 8 | 2016 | 17 | |
| 9 | 2019 | 15 | |
| 10 | 2017 | 13 | |
| 11 | 2006 | 13 | |
| 12 | 2009 | 10 | |
| 13 | 2008 | 9 | |
| 14 | 2023 | 9 | |
| 15 | 2020 | 9 | |
| 16 | 2009 | 8 | |
| 17 | 2022 | 8 | |
| 18 | 2022 | 7 | |
| 19 | 2020 | 6 | |
| 20 | 2020 | 6 |
About Wei Cun
Wei Cun is a scholar working on Epidemiology, Molecular Biology, Immunology, Hepatology and Infectious Diseases, having authored 35 papers that have together received 632 indexed citations. Recurring topics across this work include Herpesvirus Infections and Treatments (12 papers), Hepatitis C virus research (7 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), CRISPR and Genetic Engineering (3 papers) and Liver Disease Diagnosis and Treatment (3 papers). The work is most often cited by research in Hepatology (279 citations), Virology (52 citations), Epidemiology (371 citations), Immunology (95 citations) and Rheumatology (65 citations). Wei Cun has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Guangxiang Luo, Jieyun Jiang, Qihan Li, Hengli Tang, Qing Shi, Xianfang Wu, Yanwei Bi, Yadong Li, Le Sun and Zhihua Li. Their work appears in journals such as Journal of Virology, Virus Research, International Nursing Review, World Neurosurgery and BMJ Open.
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.