Peter Ames
Impact in
- Endocrinology top 2%
- Genetics top 5%
- Bacterial Genetics and Biotechnology
Papers in
- Genetics 20
- Bacterial Genetics and Biotechnology 20
-
- RNA and protein synthesis mechanisms 11
- Protein Structure and Dynamics 5
- Gene Regulatory Network Analysis 3
- Bacterial biofilms and quorum sensing 3
- Co-authors
- John S. Parkinson (21 shared papers)Claudia A. Studdert (2 shared papers)Qin Zhou (4 shared papers)Gerald B. Pier (3 shared papers)Knickole L. Bergman (2 shared papers)Danielle M. Desjardins (1 shared paper)Yong Yu (1 shared paper)Smiljka Kitanovic (2 shared papers)
- Journals
- Journal of Bacteriology (6 papers)Molecular Microbiology (5 papers)Proceedings of the National Academy of Sciences (2 papers)Nature Communications (2 papers)mBio (1 paper)
- Partner nations
- United StatesUnited KingdomFrance
In The Last Decade
Peter Ames
29 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 104
- Endocrinology 199
- Genetics 896
- Structural Biology 41
- Molecular Biology 1.2k
- Molecular Medicine 79
Countries citing papers authored by Peter Ames
This map shows the geographic impact of Peter Ames'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 Peter Ames with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter Ames more than expected).
Fields of papers citing papers by Peter Ames
This network shows the impact of papers produced by Peter Ames. 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 Peter Ames. The network helps show where Peter Ames may publish in the future.
Co-authors
The 25 scholars most cited alongside Peter Ames, 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 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2002 | 297 | |
| 2 | 2005 | 138 | |
| 3 | 1994 | 133 | |
| 4 | 1981 | 120 | |
| 5 | 1988 | 118 | |
| 6 | 2009 | 116 | |
| 7 | 1987 | 108 | |
| 8 | 2011 | 81 | |
| 9 | 1984 | 81 | |
| 10 | 1985 | 75 | |
| 11 | 1996 | 63 | |
| 12 | 2008 | 59 | |
| 13 | 2013 | 54 | |
| 14 | 1980 | 50 | |
| 15 | 2020 | 50 | |
| 16 | 1979 | 44 | |
| 17 | 2013 | 41 | |
| 18 | 2011 | 38 | |
| 19 | 2006 | 35 | |
| 20 | 1984 | 33 |
About Peter Ames
Peter Ames is a scholar working on Genetics, Molecular Biology, Cellular and Molecular Neuroscience, Endocrinology and Molecular Medicine, having authored 29 papers that have together received 1.8k indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (20 papers), RNA and protein synthesis mechanisms (11 papers), Photoreceptor and optogenetics research (6 papers), Protein Structure and Dynamics (5 papers), Gene Regulatory Network Analysis (3 papers), Bacterial biofilms and quorum sensing (3 papers), Legume Nitrogen Fixing Symbiosis (3 papers) and Cellular transport and secretion (3 papers). The work is most often cited by research in Endocrinology (199 citations), Genetics (896 citations), Structural Biology (41 citations), Molecular Biology (1.2k citations) and Molecular Medicine (79 citations). Peter Ames has collaborated with scholars based in United States, United Kingdom and France. Frequent co-authors include John S. Parkinson, Claudia A. Studdert, Qin Zhou, Gerald B. Pier, Knickole L. Bergman, Danielle M. Desjardins, Yong Yu, Smiljka Kitanovic, Morven S. Edwards and Johanna Goldfarb. Their work appears in journals such as Journal of Bacteriology, Molecular Microbiology, Proceedings of the National Academy of Sciences, Nature Communications and mBio.
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.