Shaowei Li
Impact in
- Hepatology top 0.5%
- Hepatitis Viruses Studies and Epidemiology
- Liver Disease and Transplantation
- Infectious Diseases top 1%
- Viral gastroenteritis research and epidemiology
Papers in
- Epidemiology 69
- Cervical Cancer and HPV Research 27
- Hepatitis B Virus Studies 26
- Co-authors
- Ningshao Xia (128 shared papers)Jun Zhang (75 shared papers)Yo-ichi Nabeshima (1 shared paper)Kazunori Hanaoka (1 shared paper)Yoko Nabeshima (1 shared paper)Michiko Hayasaka (1 shared paper)Ikuya Nonaka (1 shared paper)Qinjian Zhao (36 shared papers)
- Journals
- Vaccine (14 papers)Human Vaccines & Immunotherapeutics (5 papers)Journal of Virology (4 papers)Scientific Reports (4 papers)Viruses (4 papers)
- Partner nations
- ChinaUnited StatesSingapore
In The Last Decade
Shaowei Li
182 papers receiving 4.5k citations
Shaowei Li's Hit Papers
Peers
Comparison fields: 5 of 152
- Hepatology 976
- Infectious Diseases 1.1k
- Epidemiology 865
- Molecular Biology 1.8k
- Small Animals 182
Countries citing papers authored by Shaowei Li
This map shows the geographic impact of Shaowei Li'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 Shaowei Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shaowei Li more than expected).
Fields of papers citing papers by Shaowei Li
This network shows the impact of papers produced by Shaowei Li. 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 Shaowei Li. The network helps show where Shaowei Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Shaowei Li, 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 190 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Myogenin gene disruption results in perinatal lethality because of severe muscle defect Hit paper breakdown → | 1993 | 785 |
| 2 | 2019 | 238 | |
| 3 | 2013 | 174 | |
| 4 | 2000 | 153 | |
| 5 | 2002 | 151 | |
| 6 | 2020 | 136 | |
| 7 | 2015 | 129 | |
| 8 | 2009 | 122 | |
| 9 | 2011 | 104 | |
| 10 | 2012 | 85 | |
| 11 | 2004 | 76 | |
| 12 | 2014 | 73 | |
| 13 | 2015 | 73 | |
| 14 | 2020 | 70 | |
| 15 | 2020 | 61 | |
| 16 | 2012 | 58 | |
| 17 | 2010 | 54 | |
| 18 | 2022 | 52 | |
| 19 | 2018 | 47 | |
| 20 | 2015 | 42 |
About Shaowei Li
Shaowei Li is a scholar working on Epidemiology, Molecular Biology, Infectious Diseases, Hepatology and Immunology, having authored 190 papers that have together received 4.6k indexed citations. Recurring topics across this work include Hepatitis Viruses Studies and Epidemiology (35 papers), Viral gastroenteritis research and epidemiology (30 papers), Cervical Cancer and HPV Research (27 papers), Hepatitis B Virus Studies (26 papers), Monoclonal and Polyclonal Antibodies Research (17 papers), Virus-based gene therapy research (17 papers), Immunotherapy and Immune Responses (12 papers) and Animal Virus Infections Studies (12 papers). The work is most often cited by research in Hepatology (976 citations), Infectious Diseases (1.1k citations), Epidemiology (865 citations), Molecular Biology (1.8k citations) and Small Animals (182 citations). Shaowei Li has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Ningshao Xia, Jun Zhang, Yo-ichi Nabeshima, Kazunori Hanaoka, Yoko Nabeshima, Michiko Hayasaka, Ikuya Nonaka, Qinjian Zhao, Ying Gu and Hai Yu. Their work appears in journals such as Vaccine, Human Vaccines & Immunotherapeutics, Journal of Virology, Scientific Reports and Viruses.
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.