Yan Wei
Impact in
- Animal Science and Zoology top 5%
- Animal Virus Infections Studies
- Endocrinology top 10%
Papers in
- Genetics 5
- Bacterial Genetics and Biotechnology 5
-
- Viral Infectious Diseases and Gene Expression in Insects 1
- DNA Repair Mechanisms 1
- Gene expression and cancer classification 1
- Gene Regulatory Network Analysis 1
- Molecular Biology Techniques and Applications 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)Long Guo (2 shared papers)Yue Lü (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 583 citations
Peers
Comparison fields: 5 of 59
- Animal Science and Zoology 187
- Endocrinology 63
- Genetics 287
- Molecular Medicine 38
- Infectious Diseases 100
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 | 185 | |
| 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, Animal Science and Zoology, Molecular Medicine and Food Science, having authored 8 papers that have together received 594 indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (5 papers), Antibiotic Resistance in Bacteria (2 papers), Animal Virus Infections Studies (2 papers), Viral Infectious Diseases and Gene Expression in Insects (1 paper), DNA Repair Mechanisms (1 paper), Gene expression and cancer classification (1 paper), Gene Regulatory Network Analysis (1 paper) and Molecular Biology Techniques and Applications (1 paper). The work is most often cited by research in Animal Science and Zoology (187 citations), Endocrinology (63 citations), Genetics (287 citations), Molecular Medicine (38 citations) and Infectious Diseases (100 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, Long Guo, Yue Lü, 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.