Wei Lin
Impact in
- Endocrinology top 0.5%
- Vibrio bacteria research studies
- Molecular Medicine top 2%
- Antibiotic Resistance in Bacteria
Papers in
-
- Bacterial biofilms and quorum sensing 10
- RNA and protein synthesis mechanisms 8
- Plant biochemistry and biosynthesis 7
-
- Vibrio bacteria research studies 14
- Co-authors
- Gabriela Kovacikova (12 shared papers)Karen Skorupski (12 shared papers)John J. Mekalanos (2 shared papers)Ronald K. Taylor (6 shared papers)F. Jon Kull (5 shared papers)Stephen B. Calderwood (1 shared paper)Rebecca A. Clayton (1 shared paper)Claire M. Fraser (1 shared paper)
- Journals
- Nature Communications (5 papers)Molecular Microbiology (5 papers)Journal of Bacteriology (5 papers)Nucleic Acids Research (4 papers)Proceedings of the National Academy of Sciences (4 papers)
- Partner nations
- ChinaUnited StatesBelgium
In The Last Decade
Wei Lin
65 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 109
- Endocrinology 707
- Molecular Medicine 172
- Immunology 423
- Molecular Biology 1.1k
- Genetics 414
Countries citing papers authored by Wei Lin
This map shows the geographic impact of Wei Lin'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 Lin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wei Lin more than expected).
Fields of papers citing papers by Wei Lin
This network shows the impact of papers produced by Wei Lin. 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 Lin. The network helps show where Wei Lin may publish in the future.
Co-authors
The 25 scholars most cited alongside Wei Lin, 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 70 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1999 | 252 | |
| 2 | 2017 | 131 | |
| 3 | 2005 | 109 | |
| 4 | 2022 | 107 | |
| 5 | 2010 | 102 | |
| 6 | 2004 | 71 | |
| 7 | 2007 | 65 | |
| 8 | 2005 | 63 | |
| 9 | 2016 | 62 | |
| 10 | 1998 | 59 | |
| 11 | 2003 | 59 | |
| 12 | 2007 | 58 | |
| 13 | 2011 | 55 | |
| 14 | 1994 | 53 | |
| 15 | 2005 | 50 | |
| 16 | 2013 | 42 | |
| 17 | 2010 | 40 | |
| 18 | 2016 | 35 | |
| 19 | 2014 | 35 | |
| 20 | 2019 | 33 |
About Wei Lin
Wei Lin is a scholar working on Molecular Biology, Endocrinology, Immunology, Genetics and Infectious Diseases, having authored 70 papers that have together received 2.1k indexed citations. Recurring topics across this work include Vibrio bacteria research studies (14 papers), Bacterial Genetics and Biotechnology (12 papers), Aquaculture disease management and microbiota (11 papers), Bacterial biofilms and quorum sensing (10 papers), RNA and protein synthesis mechanisms (8 papers), Plant biochemistry and biosynthesis (7 papers), Tuberculosis Research and Epidemiology (5 papers) and Antibiotic Resistance in Bacteria (4 papers). The work is most often cited by research in Endocrinology (707 citations), Molecular Medicine (172 citations), Immunology (423 citations), Molecular Biology (1.1k citations) and Genetics (414 citations). Wei Lin has collaborated with scholars based in China, United States and Belgium. Frequent co-authors include Gabriela Kovacikova, Karen Skorupski, John J. Mekalanos, Ronald K. Taylor, F. Jon Kull, Stephen B. Calderwood, Rebecca A. Clayton, Claire M. Fraser, Jessica A. Sexton and Karla Jean Fullner. Their work appears in journals such as Nature Communications, Molecular Microbiology, Journal of Bacteriology, Nucleic Acids Research and Proceedings of the National Academy of 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.