Stanton B. Gray
Impact in
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- Autism Spectrum Disorder Research
Papers in
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- Gut microbiota and health 3
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- Trypanosoma species research and implications 2
- Adipokines, Inflammation, and Metabolic Diseases 2
- Co-authors
- Carolyn L. Hodo (5 shared papers)Gregory K. Wilkerson (3 shared papers)Janice D. Wagner (4 shared papers)Gregory A. Hawkins (4 shared papers)Sarah A. Hamer (1 shared paper)Timothy D. Howard (4 shared papers)David Hutchings (1 shared paper)James N. Thompson (1 shared paper)
- Journals
- Veterinary Pathology (2 papers)Journal of Medical Primatology (2 papers)Microbial Genomics (1 paper)Obesity (1 paper)PLoS ONE (1 paper)
- Partner nations
- United StatesPhilippinesJapan
In The Last Decade
Stanton B. Gray
16 papers receiving 222 citations
Peers
Comparison fields: 5 of 66
- Virology 12
- Cognitive Neuroscience 36
- Geriatrics and Gerontology 6
- Epidemiology 57
- Genetics 48
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 | 1996 | 58 | |
| 2 | 2011 | 40 | |
| 3 | 2018 | 34 | |
| 4 | 2016 | 29 | |
| 5 | 2018 | 16 | |
| 6 | 2010 | 13 | |
| 7 | 2022 | 9 | |
| 8 | 2011 | 5 | |
| 9 | 2023 | 4 | |
| 10 | 2020 | 4 | |
| 11 | Comparative analyses of single-nucleotide polymorphisms in the TNF promoter region provide further validation for the vervet monkey model of obesity. | 2009 | 4 |
| 12 | 2022 | 3 | |
| 13 | 2024 | 3 | |
| 14 | 2024 | 2 | |
| 15 | Disseminated Hemangiosarcoma in a Juvenile Rhesus Macaque (Macaca mulatta). | 2016 | 2 |
| 16 | 2024 | 1 | |
| 17 | 2026 | 0 |
About Stanton B. Gray
Stanton B. Gray is a scholar working on Molecular Biology, Epidemiology, Pathology and Forensic Medicine, Public Health, Environmental and Occupational Health and Genetics, having authored 17 papers that have together received 227 indexed citations. Recurring topics across this work include Gut microbiota and health (3 papers), Trypanosoma species research and implications (2 papers), Cancer Genomics and Diagnostics (2 papers), Viral gastroenteritis research and epidemiology (2 papers), Research on Leishmaniasis Studies (2 papers), Salmonella and Campylobacter epidemiology (2 papers), Regulation of Appetite and Obesity (2 papers) and Adipokines, Inflammation, and Metabolic Diseases (2 papers). The work is most often cited by research in Virology (12 citations), Cognitive Neuroscience (36 citations), Geriatrics and Gerontology (6 citations), Epidemiology (57 citations) and Genetics (48 citations). Stanton B. Gray has collaborated with scholars based in United States, Philippines and Japan. Frequent co-authors include Carolyn L. Hodo, Gregory K. Wilkerson, Janice D. Wagner, Gregory A. Hawkins, Sarah A. Hamer, Timothy D. Howard, David Hutchings, James N. Thompson, G. Bradley Schaefer and William J. Kimberling. Their work appears in journals such as Veterinary Pathology, Journal of Medical Primatology, Microbial Genomics, Obesity and PLoS ONE.
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.