John T. Singer
Impact in
- Endocrinology top 5%
- Vibrio bacteria research studies
- Immunology top 10%
- Aquaculture disease management and microbiota
Papers in
- Ecology 8
- Bacteriophages and microbial interactions 6
- Co-authors
- Katherine J. Boettcher (3 shared papers)Bruce J. Barber (2 shared papers)W. R. Finnerty (3 shared papers)B. L. Nicholson (3 shared papers)S Blake (3 shared papers)Matthew J. Sullivan (2 shared papers)Carol H. Kim (2 shared papers)Ryan Phennicie (2 shared papers)
- Journals
- Journal of Bacteriology (6 papers)Applied and Environmental Microbiology (5 papers)Journal of Clinical Microbiology (2 papers)Journal of Microbiological Methods (1 paper)Infection and Immunity (1 paper)
- Partner nations
- United States
In The Last Decade
John T. Singer
23 papers receiving 581 citations
Peers
Comparison fields: 5 of 81
- Endocrinology 107
- Immunology 252
- Molecular Medicine 57
- Aquatic Science 68
- Animal Science and Zoology 87
Countries citing papers authored by John T. Singer
This map shows the geographic impact of John T. Singer'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 John T. Singer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John T. Singer more than expected).
Fields of papers citing papers by John T. Singer
This network shows the impact of papers produced by John T. Singer. 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 John T. Singer. The network helps show where John T. Singer may publish in the future.
Co-authors
The 25 scholars most cited alongside John T. Singer, 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 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2000 | 76 | |
| 2 | 1999 | 71 | |
| 3 | 1979 | 68 | |
| 4 | 2010 | 66 | |
| 5 | 1995 | 62 | |
| 6 | 2010 | 43 | |
| 7 | 2011 | 41 | |
| 8 | 1999 | 34 | |
| 9 | 1984 | 24 | |
| 10 | 1986 | 22 | |
| 11 | 1992 | 21 | |
| 12 | 1989 | 16 | |
| 13 | 1991 | 14 | |
| 14 | 1996 | 14 | |
| 15 | 1984 | 13 | |
| 16 | 1977 | 12 | |
| 17 | 1985 | 12 | |
| 18 | 1992 | 8 | |
| 19 | 1989 | 7 | |
| 20 | 1995 | 5 |
About John T. Singer
John T. Singer is a scholar working on Molecular Biology, Ecology, Endocrinology, Immunology and Genetics, having authored 23 papers that have together received 638 indexed citations. Recurring topics across this work include Aquaculture disease management and microbiota (8 papers), Vibrio bacteria research studies (8 papers), Bacteriophages and microbial interactions (6 papers), Bacterial Genetics and Biotechnology (5 papers), Marine Bivalve and Aquaculture Studies (3 papers), Plant-Derived Bioactive Compounds (2 papers), Antibiotic Resistance in Bacteria (2 papers) and Carcinogens and Genotoxicity Assessment (2 papers). The work is most often cited by research in Endocrinology (107 citations), Immunology (252 citations), Molecular Medicine (57 citations), Aquatic Science (68 citations) and Animal Science and Zoology (87 citations). John T. Singer has collaborated with scholars based in United States. Frequent co-authors include Katherine J. Boettcher, Bruce J. Barber, W. R. Finnerty, B. L. Nicholson, S Blake, Matthew J. Sullivan, Carol H. Kim, Ryan Phennicie, Steven A. Short and A. W. Sweeney. Their work appears in journals such as Journal of Bacteriology, Applied and Environmental Microbiology, Journal of Clinical Microbiology, Journal of Microbiological Methods and Infection and Immunity.
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.