Eric Singleton
Impact in
- Molecular Medicine top 5%
- Antibiotic Resistance in Bacteria
- Endocrinology top 5%
- Vibrio bacteria research studies
Papers in
-
- Tuberculosis Research and Epidemiology 4
- Clostridium difficile and Clostridium perfringens research 3
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- Cancer therapeutics and mechanisms 3
- Co-authors
- Nancy Connell (12 shared papers)Daniel E. Kadouri (4 shared papers)Shilpi Gupta (3 shared papers)Kenneth Shatzkes (3 shared papers)Chi Tang (3 shared papers)Riccardo Russo (10 shared papers)Joseph Rinaggio (3 shared papers)Joel S. Freundlich (7 shared papers)
- Journals
- Scientific Reports (2 papers)mBio (2 papers)Antimicrobial Agents and Chemotherapy (2 papers)Pharmaceutical Research (1 paper)RSC Medicinal Chemistry (1 paper)
- Partner nations
- United StatesNetherlandsUnited Kingdom
In The Last Decade
Eric Singleton
13 papers receiving 347 citations
Peers
Comparison fields: 5 of 73
- Molecular Medicine 80
- Endocrinology 79
- Infectious Diseases 81
- Microbiology 20
- Molecular Biology 189
Countries citing papers authored by Eric Singleton
This map shows the geographic impact of Eric Singleton'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 Eric Singleton with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eric Singleton more than expected).
Fields of papers citing papers by Eric Singleton
This network shows the impact of papers produced by Eric Singleton. 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 Eric Singleton. The network helps show where Eric Singleton may publish in the future.
Co-authors
The 25 scholars most cited alongside Eric Singleton, 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 | 2016 | 89 | |
| 2 | 2017 | 62 | |
| 3 | 2017 | 50 | |
| 4 | 2017 | 30 | |
| 5 | 2018 | 27 | |
| 6 | 2018 | 24 | |
| 7 | 2015 | 14 | |
| 8 | 2017 | 13 | |
| 9 | 2018 | 12 | |
| 10 | 2020 | 10 | |
| 11 | 2017 | 10 | |
| 12 | 2022 | 8 | |
| 13 | 2024 | 3 |
About Eric Singleton
Eric Singleton is a scholar working on Infectious Diseases, Molecular Biology, Endocrinology, Epidemiology and Computational Theory and Mathematics, having authored 13 papers that have together received 352 indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (4 papers), Vibrio bacteria research studies (4 papers), Cancer therapeutics and mechanisms (3 papers), Clostridium difficile and Clostridium perfringens research (3 papers), Yersinia bacterium, plague, ectoparasites research (2 papers), Computational Drug Discovery Methods (2 papers), Immune Response and Inflammation (2 papers) and Antibiotic Resistance in Bacteria (2 papers). The work is most often cited by research in Molecular Medicine (80 citations), Endocrinology (79 citations), Infectious Diseases (81 citations), Microbiology (20 citations) and Molecular Biology (189 citations). Eric Singleton has collaborated with scholars based in United States, Netherlands and United Kingdom. Frequent co-authors include Nancy Connell, Daniel E. Kadouri, Shilpi Gupta, Kenneth Shatzkes, Chi Tang, Riccardo Russo, Joseph Rinaggio, Joel S. Freundlich, Alexander L. Perryman and Pradeep Kumar. Their work appears in journals such as Scientific Reports, mBio, Antimicrobial Agents and Chemotherapy, Pharmaceutical Research and RSC Medicinal Chemistry.
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.