Stephen Peyton
Impact in
- Gastroenterology top 5%
- Celiac Disease Research and Management
-
- Urological Disorders and Treatments
Papers in
- Co-authors
- Gregory Y. Lauwers (1 shared paper)Ricard Masia (1 shared paper)Ian Brown (1 shared paper)Poonam Vohra (3 shared papers)Christopher J. VandenBussche (3 shared papers)Jen‐Fan Hang (3 shared papers)Patrick J. McIntire (3 shared papers)M. Lisa Zhang (3 shared papers)
- Journals
- Scientific Reports (1 paper)Birth Defects Research (1 paper)Cancer Cytopathology (1 paper)The Journal of Pathology Clinical Research (1 paper)The American Journal of Surgical Pathology (1 paper)
- Partner nations
- United StatesAustraliaTaiwan
In The Last Decade
Stephen Peyton
11 papers receiving 263 citations
Peers
Comparison fields: 5 of 44
- Gastroenterology 71
- Urology 17
- Surgery 88
- Immunology 35
- Epidemiology 53
Countries citing papers authored by Stephen Peyton
This map shows the geographic impact of Stephen Peyton'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 Stephen Peyton with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stephen Peyton more than expected).
Fields of papers citing papers by Stephen Peyton
This network shows the impact of papers produced by Stephen Peyton. 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 Stephen Peyton. The network helps show where Stephen Peyton may publish in the future.
Co-authors
The 25 scholars most cited alongside Stephen Peyton, 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 | 2014 | 103 | |
| 2 | 2018 | 40 | |
| 3 | 2018 | 32 | |
| 4 | 2020 | 26 | |
| 5 | 2020 | 18 | |
| 6 | 2013 | 18 | |
| 7 | 2020 | 16 | |
| 8 | 2019 | 8 | |
| 9 | 2019 | 4 | |
| 10 | 2022 | 3 | |
| 11 | Design and implementation of a customized genotyping array for imputation-based genome-wide association studies: the Avera-NTR Global Screening Array | 2017 | 1 |
About Stephen Peyton
Stephen Peyton is a scholar working on Surgery, Oncology, Genetics, Molecular Biology and Urology, having authored 11 papers that have together received 269 indexed citations. Recurring topics across this work include Urinary and Genital Oncology Studies (4 papers), Bladder and Urothelial Cancer Treatments (3 papers), Epigenetics and DNA Methylation (2 papers), Urological Disorders and Treatments (2 papers), Colorectal Cancer Screening and Detection (2 papers), Diabetes and associated disorders (1 paper), T-cell and B-cell Immunology (1 paper) and Infectious Disease Case Reports and Treatments (1 paper). The work is most often cited by research in Gastroenterology (71 citations), Urology (17 citations), Surgery (88 citations), Immunology (35 citations) and Epidemiology (53 citations). Stephen Peyton has collaborated with scholars based in United States, Australia and Taiwan. Frequent co-authors include Gregory Y. Lauwers, Ricard Masia, Ian Brown, Poonam Vohra, Christopher J. VandenBussche, Jen‐Fan Hang, Patrick J. McIntire, M. Lisa Zhang, Gareth E. Davies and Erik A. Ehli. Their work appears in journals such as Scientific Reports, Birth Defects Research, Cancer Cytopathology, The Journal of Pathology Clinical Research and The American Journal of Surgical Pathology.
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.