David Bates
Impact in
- Genetics top 2%
- Bacterial Genetics and Biotechnology
- Molecular Medicine top 5%
- Antibiotic Resistance in Bacteria
Papers in
-
- DNA Repair Mechanisms 21
- DNA and Nucleic Acid Chemistry 9
- CRISPR and Genetic Engineering 6
- Cancer therapeutics and mechanisms 2
- Genomics and Chromatin Dynamics 2
- Genetics 22
- Bacterial Genetics and Biotechnology 22
- Co-authors
- Nancy Kleckner (4 shared papers)Tokio Kogoma (5 shared papers)David Magnan (9 shared papers)Tsuneaki Asai (4 shared papers)Erik Boye (5 shared papers)Mohan C. Joshi (6 shared papers)Susan M. Rosenberg (6 shared papers)P. J. Hastings (5 shared papers)
- Journals
- Molecular Microbiology (4 papers)PLoS Genetics (3 papers)Journal of Bacteriology (2 papers)Cell (2 papers)Proceedings of the National Academy of Sciences (2 papers)
- Partner nations
- United StatesNorwayJapan
In The Last Decade
David Bates
27 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 72
- Genetics 891
- Molecular Medicine 158
- Endocrinology 99
- Molecular Biology 1.1k
- Ecology 302
Countries citing papers authored by David Bates
This map shows the geographic impact of David Bates'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 David Bates with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Bates more than expected).
Fields of papers citing papers by David Bates
This network shows the impact of papers produced by David Bates. 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 David Bates. The network helps show where David Bates may publish in the future.
Co-authors
The 25 scholars most cited alongside David Bates, 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 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2005 | 270 | |
| 2 | 2019 | 130 | |
| 3 | 1994 | 109 | |
| 4 | 2011 | 97 | |
| 5 | 2013 | 93 | |
| 6 | 2013 | 72 | |
| 7 | 2014 | 67 | |
| 8 | 2000 | 62 | |
| 9 | 2005 | 59 | |
| 10 | 2010 | 56 | |
| 11 | 2009 | 41 | |
| 12 | 1995 | 40 | |
| 13 | 1997 | 38 | |
| 14 | 2022 | 33 | |
| 15 | 2016 | 30 | |
| 16 | 2013 | 29 | |
| 17 | 2015 | 28 | |
| 18 | 2008 | 22 | |
| 19 | 1998 | 19 | |
| 20 | 2015 | 17 |
About David Bates
David Bates is a scholar working on Molecular Biology, Genetics, Ecology, Cell Biology and Endocrinology, having authored 27 papers that have together received 1.4k indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (22 papers), DNA Repair Mechanisms (21 papers), DNA and Nucleic Acid Chemistry (9 papers), CRISPR and Genetic Engineering (6 papers), Bacteriophages and microbial interactions (3 papers), Cancer therapeutics and mechanisms (2 papers), Escherichia coli research studies (2 papers) and Genomics and Chromatin Dynamics (2 papers). The work is most often cited by research in Genetics (891 citations), Molecular Medicine (158 citations), Endocrinology (99 citations), Molecular Biology (1.1k citations) and Ecology (302 citations). David Bates has collaborated with scholars based in United States, Norway and Japan. Frequent co-authors include Nancy Kleckner, Tokio Kogoma, David Magnan, Tsuneaki Asai, Erik Boye, Mohan C. Joshi, Susan M. Rosenberg, P. J. Hastings, Jay K. Fisher and Jennifer A. Clikeman. Their work appears in journals such as Molecular Microbiology, PLoS Genetics, Journal of Bacteriology, Cell 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.