Yan Wei
Impact in
- Animal Science and Zoology top 5%
- Animal Virus Infections Studies
- Endocrinology top 10%
Papers in
- Genetics 7
- Bacterial Genetics and Biotechnology 5
- Virus-based gene therapy research 2
-
- Viral Infectious Diseases and Gene Expression in Insects 1
- Molecular Biology Techniques and Applications 1
- RNA and protein synthesis mechanisms 1
- Co-authors
- Robert A. LaRossa (4 shared papers)Jian-Ming Lee (2 shared papers)J. Antoni Rafalski (2 shared papers)Li Huang (2 shared papers)Yue Lü (2 shared papers)Long Guo (2 shared papers)Frederick R. Blattner (1 shared paper)Craig S. Richmond (1 shared paper)
- Journals
- Journal of Bacteriology (4 papers)Virology Journal (2 papers)Proceedings of the National Academy of Sciences (1 paper)Journal of Pharmaceutical and Biomedical Sciences (1 paper)
- Partner nations
- United StatesChina
In The Last Decade
Yan Wei
8 papers receiving 581 citations
Peers
Comparison fields: 5 of 60
- Animal Science and Zoology 188
- Endocrinology 66
- Genetics 316
- Molecular Medicine 39
- Infectious Diseases 119
Countries citing papers authored by Yan Wei
This map shows the geographic impact of Yan Wei'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 Yan Wei with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yan Wei more than expected).
Fields of papers citing papers by Yan Wei
This network shows the impact of papers produced by Yan Wei. 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 Yan Wei. The network helps show where Yan Wei may publish in the future.
Co-authors
The 21 scholars most cited alongside Yan Wei, 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 | 2001 | 184 | |
| 2 | 2010 | 178 | |
| 3 | 2001 | 102 | |
| 4 | 2001 | 62 | |
| 5 | 2001 | 35 | |
| 6 | 1999 | 19 | |
| 7 | 2011 | 8 | |
| 8 | Research progress on CRISPR/Cas. | 2015 | 5 |
About Yan Wei
Yan Wei is a scholar working on Genetics, Molecular Biology, Infectious Diseases, Animal Science and Zoology and Molecular Medicine, having authored 8 papers that have together received 593 indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (5 papers), Animal Virus Infections Studies (2 papers), Viral gastroenteritis research and epidemiology (2 papers), Antibiotic Resistance in Bacteria (2 papers), Virus-based gene therapy research (2 papers), Viral Infectious Diseases and Gene Expression in Insects (1 paper), Molecular Biology Techniques and Applications (1 paper) and RNA and protein synthesis mechanisms (1 paper). The work is most often cited by research in Animal Science and Zoology (188 citations), Endocrinology (66 citations), Genetics (316 citations), Molecular Medicine (39 citations) and Infectious Diseases (119 citations). Yan Wei has collaborated with scholars based in United States and China. Frequent co-authors include Robert A. LaRossa, Jian-Ming Lee, J. Antoni Rafalski, Li Huang, Yue Lü, Long Guo, Frederick R. Blattner, Craig S. Richmond, Dana R. Smulski and Amy Cheng Vollmer. Their work appears in journals such as Journal of Bacteriology, Virology Journal, Proceedings of the National Academy of Sciences and Journal of Pharmaceutical and Biomedical Sciences.
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.