Gary S. Nabors
- Epidemiology top 5%
- Microbiology top 1%
- Public Health, Environmental and Occupational Health top 5%
- Immunology top 10%
- Infectious Diseases top 10%
- Co-authors
- J P FarrellSusan K. HollingsheadDavid E. BrilesJanice KingPatricia A. BraunPhilip ScottLuís AfonsoAmy J. Swift
- Topics
- Research on Leishmaniasis Studies (8 papers)Trypanosoma species research and implications (7 papers)Bacillus and Francisella bacterial research (6 papers)
- Journals
- Proceedings of the National Academy of SciencesThe Journal of ImmunologyThe Journal of Infectious Diseases
- Partner nations
- United StatesAustraliaFrance
In The Last Decade
Gary S. Nabors
22 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 77
- Epidemiology 846
- Microbiology 393
- Public Health, Environmental and Occupational Health 382
- Immunology 311
- Infectious Diseases 240
Countries citing papers authored by Gary S. Nabors
This map shows the geographic impact of Gary S. Nabors'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 Gary S. Nabors with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gary S. Nabors more than expected).
Fields of papers citing papers by Gary S. Nabors
This network shows the impact of papers produced by Gary S. Nabors. 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 Gary S. Nabors. The network helps show where Gary S. Nabors may publish in the future.
Co-authorship network of co-authors of Gary S. Nabors
This figure shows the co-authorship network connecting the top 25 collaborators of Gary S. Nabors. A scholar is included among the top collaborators of Gary S. Nabors based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Gary S. Nabors. Gary S. Nabors is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 14 | |
| 2 | 34 | |
| 3 | 13 | |
| 4 | 76 | |
| 5 | 64 | |
| 6 | 33 | |
| 7 | 61 | |
| 8 | 26 | |
| 9 | 174 | |
| 10 | 114 | |
| 11 | 214 | |
| 12 | 114 | |
| 13 | 17 | |
| 14 | 25 | |
| 15 | 42 | |
| 16 | 8 | |
| 17 | 38 | |
| 18 | 34 | |
| 19 | 66 | |
| 20 | Regulation of cytokine production in Chagas disease. | 3 |
About Gary S. Nabors
Gary S. Nabors is a scholar working on Microbiology, Endocrinology and Epidemiology, having authored 22 papers that have together received 1.4k indexed citations. Recurring topics across this work include Research on Leishmaniasis Studies (8 papers), Trypanosoma species research and implications (7 papers) and Bacillus and Francisella bacterial research (6 papers). The work is most often cited by research in Microbiology (393 citations), Epidemiology (846 citations) and Endocrinology (100 citations). Gary S. Nabors has collaborated with scholars based in United States, Australia and France. Frequent co-authors include J P Farrell, Susan K. Hollingshead, David E. Briles, Janice King, Patricia A. Braun, Philip Scott, Luís Afonso, Amy J. Swift, Alexis Brooks-Walter and Rick L. Tarleton. Their work appears in journals such as Proceedings of the National Academy of Sciences, The Journal of Immunology and The Journal of Infectious Diseases.
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.