Stanton B. Gray
Impact in
- Small Animals top 10%
- Animal testing and alternatives
Papers in
-
- Veterinary Medicine and Surgery 2
- Veterinary medicine and infectious diseases 1
- Genetics 5
- Genetic Associations and Epidemiology 2
- Co-authors
- Carolyn L. Hodo (5 shared papers)Gregory K. Wilkerson (3 shared papers)Timothy D. Howard (4 shared papers)Janice D. Wagner (4 shared papers)Gregory A. Hawkins (4 shared papers)William J. Kimberling (1 shared paper)Gerald Bradley Schaefer (1 shared paper)Sarah A. Hamer (1 shared paper)
- Journals
- Veterinary Pathology (2 papers)Journal of Medical Primatology (2 papers)EcoHealth (1 paper)Science (1 paper)Comparative Medicine (1 paper)
- Partner nations
- United StatesJapanItaly
In The Last Decade
Stanton B. Gray
18 papers receiving 373 citations
Peers
Comparison fields: 5 of 69
- Small Animals 28
- Virology 12
- Cognitive Neuroscience 52
- Genetics 65
- Immunology 30
Countries citing papers authored by Stanton B. Gray
This map shows the geographic impact of Stanton B. Gray'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 Stanton B. Gray with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stanton B. Gray more than expected).
Fields of papers citing papers by Stanton B. Gray
This network shows the impact of papers produced by Stanton B. Gray. 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 Stanton B. Gray. The network helps show where Stanton B. Gray may publish in the future.
Co-authors
The 25 scholars most cited alongside Stanton B. Gray, 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 | 2020 | 117 | |
| 2 | 1996 | 63 | |
| 3 | 2011 | 49 | |
| 4 | 2018 | 37 | |
| 5 | 2016 | 34 | |
| 6 | 2018 | 22 | |
| 7 | 2010 | 15 | |
| 8 | 2022 | 12 | |
| 9 | Comparative analyses of single-nucleotide polymorphisms in the TNF promoter region provide further validation for the vervet monkey model of obesity. | 2009 | 5 |
| 10 | 2011 | 5 | |
| 11 | 2024 | 5 | |
| 12 | 2020 | 4 | |
| 13 | 2023 | 4 | |
| 14 | 2022 | 3 | |
| 15 | Disseminated Hemangiosarcoma in a Juvenile Rhesus Macaque (Macaca mulatta). | 2016 | 2 |
| 16 | 2024 | 2 | |
| 17 | 2024 | 2 | |
| 18 | 2026 | 1 |
About Stanton B. Gray
Stanton B. Gray is a scholar working on Small Animals, Genetics, Pathology and Forensic Medicine, Epidemiology and Food Science, having authored 18 papers that have together received 382 indexed citations. Recurring topics across this work include Gut microbiota and health (2 papers), Genetic Associations and Epidemiology (2 papers), Genetic factors in colorectal cancer (2 papers), Salmonella and Campylobacter epidemiology (2 papers), Adipokines, Inflammation, and Metabolic Diseases (2 papers), Veterinary Medicine and Surgery (2 papers), Trypanosoma species research and implications (2 papers) and Veterinary medicine and infectious diseases (1 paper). The work is most often cited by research in Small Animals (28 citations), Virology (12 citations), Cognitive Neuroscience (52 citations), Genetics (65 citations) and Immunology (30 citations). Stanton B. Gray has collaborated with scholars based in United States, Japan and Italy. Frequent co-authors include Carolyn L. Hodo, Gregory K. Wilkerson, Timothy D. Howard, Janice D. Wagner, Gregory A. Hawkins, William J. Kimberling, Gerald Bradley Schaefer, Sarah A. Hamer, John B. Bodensteiner and William D. Dutton. Their work appears in journals such as Veterinary Pathology, Journal of Medical Primatology, EcoHealth, Science and Comparative Medicine.
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.