Yan W Wei
Impact in
- Animal Science and Zoology top 5%
- Animal Virus Infections Studies
- Endocrinology top 10%
Papers in
-
- Antibiotic Resistance in Bacteria 4
- Genetics 5
- Bacterial Genetics and Biotechnology 5
- Co-authors
- Robert A. LaRossa (4 shared papers)Jian-Ming Lee (2 shared papers)J. Antoni Rafalski (2 shared papers)Yue H Lu (2 shared papers)Long Guo (2 shared papers)Li Ping Huang (2 shared papers)Craig S. Richmond (1 shared paper)Frederick R. Blattner (1 shared paper)
- Journals
- Journal of Bacteriology (4 papers)Annals of Laboratory Medicine (2 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 W Wei
10 papers receiving 618 citations
Peers
Comparison fields: 5 of 59
- Animal Science and Zoology 190
- Endocrinology 72
- Genetics 298
- Molecular Medicine 43
- Infectious Diseases 103
Countries citing papers authored by Yan W Wei
This map shows the geographic impact of Yan W 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 W 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 W Wei more than expected).
Fields of papers citing papers by Yan W Wei
This network shows the impact of papers produced by Yan W 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 W Wei. The network helps show where Yan W Wei may publish in the future.
Co-authors
The 22 scholars most cited alongside Yan W 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 | 199 | |
| 2 | 2010 | 180 | |
| 3 | 2001 | 106 | |
| 4 | 2001 | 67 | |
| 5 | 2001 | 39 | |
| 6 | 1999 | 19 | |
| 7 | 2011 | 8 | |
| 8 | Research progress on CRISPR/Cas. | 2015 | 5 |
| 9 | 2012 | 4 | |
| 10 | 2012 | 1 |
About Yan W Wei
Yan W Wei is a scholar working on Molecular Medicine, Genetics, Animal Science and Zoology, Endocrinology and Molecular Biology, having authored 10 papers that have together received 628 indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (5 papers), Antibiotic Resistance in Bacteria (4 papers), Animal Virus Infections Studies (2 papers), Enterobacteriaceae and Cronobacter Research (1 paper), Mycobacterium research and diagnosis (1 paper), Gene expression and cancer classification (1 paper), Antibiotics Pharmacokinetics and Efficacy (1 paper) and Gene Regulatory Network Analysis (1 paper). The work is most often cited by research in Animal Science and Zoology (190 citations), Endocrinology (72 citations), Genetics (298 citations), Molecular Medicine (43 citations) and Infectious Diseases (103 citations). Yan W Wei has collaborated with scholars based in United States and China. Frequent co-authors include Robert A. LaRossa, Jian-Ming Lee, J. Antoni Rafalski, Yue H Lu, Long Guo, Li Ping Huang, Craig S. Richmond, Frederick R. Blattner, Dana R. Smulski and Amy Cheng Vollmer. Their work appears in journals such as Journal of Bacteriology, Annals of Laboratory Medicine, 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.