Nathan W. Rigel
- Molecular Medicine top 5%
- Antibiotic Resistance in Bacteria 8
- Endocrinology top 5%
- Vibrio bacteria research studies 3
- Escherichia coli research studies 3
- Genetics top 10%
- Bacterial Genetics and Biotechnology 12
- Infectious Diseases top 10%
- Tuberculosis Research and Epidemiology 5
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- RNA and protein synthesis mechanisms 6
- Bacterial biofilms and quorum sensing 4
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- Bacteriophages and microbial interactions 2
- Co-authors
- Miriam BraunsteinThomas J. SilhavyDante P. RicciJessica R. McCannJon-David SchwalmJustin A. McDonoughHenry S. GibbonsErin McElvania
- Journals
- Proceedings of the National Academy of Sciences (2 papers)Journal of Biological Chemistry (2 papers)Journal of Bacteriology (5 papers)
- Partner nations
- United StatesEstoniaFrance
In The Last Decade
Nathan W. Rigel
19 papers receiving 699 citations
Peers
Comparison fields: 5 of 65
- Molecular Medicine 152
- Endocrinology 97
- Genetics 301
- Infectious Diseases 178
- Molecular Biology 401
Countries citing papers authored by Nathan W. Rigel
This map shows the geographic impact of Nathan W. Rigel'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 Nathan W. Rigel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nathan W. Rigel more than expected).
Fields of papers citing papers by Nathan W. Rigel
This network shows the impact of papers produced by Nathan W. Rigel. 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 Nathan W. Rigel. The network helps show where Nathan W. Rigel may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Nathan W. Rigel, 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 | 2021 | 0 | |
| 2 | 2021 | 6 | |
| 3 | 2020 | 21 | |
| 4 | 2019 | 18 | |
| 5 | 2019 | 11 | |
| 6 | 2019 | 1 | |
| 7 | 2018 | 15 | |
| 8 | 2018 | 51 | |
| 9 | 2015 | 15 | |
| 10 | 2013 | 83 | |
| 11 | 2013 | 15 | |
| 12 | 2012 | 65 | |
| 13 | 2011 | 69 | |
| 14 | 2009 | 40 | |
| 15 | 2009 | 21 | |
| 16 | 2008 | 101 | |
| 17 | 2008 | 32 | |
| 18 | 2008 | 39 | |
| 19 | 2008 | 64 | |
| 20 | 2006 | 40 |
About Nathan W. Rigel
Nathan W. Rigel is a scholar working on Molecular Medicine, Endocrinology and Genetics, having authored 20 papers that have together received 707 indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (12 papers), Antibiotic Resistance in Bacteria (8 papers), RNA and protein synthesis mechanisms (6 papers), Tuberculosis Research and Epidemiology (5 papers), Bacterial biofilms and quorum sensing (4 papers), Vibrio bacteria research studies (3 papers), Escherichia coli research studies (3 papers) and Bacteriophages and microbial interactions (2 papers). The work is most often cited by research in Molecular Medicine (152 citations), Endocrinology (97 citations) and Genetics (301 citations). Nathan W. Rigel has collaborated with scholars based in United States, Estonia and France. Frequent co-authors include Miriam Braunstein, Thomas J. Silhavy, Dante P. Ricci, Jessica R. McCann, Jon-David Schwalm, Justin A. McDonough, Henry S. Gibbons, Erin McElvania, Sherry L. Kurtz and Dazhong Zhao. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Bacteriology.
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.