Stephen Peyton

457 citations
10 papers · 227 · h-index 8

Impact in

Papers in

    • Urinary and Genital Oncology Studies 4
    • Bladder and Urothelial Cancer Treatments 2
    • Inflammatory Bowel Disease 1

Stephen Peyton

10 papers receiving 226 citations

Peers

Stephen Peyton
Comparison fields: 5 of 44
  • Gastroenterology 67
  • Urology 19
  • Immunology 45
  • Surgery 76
  • Cancer Research 25
Replace Tracy Casalunovo with:
Tracy Casalunovo United States
Tomasz Gawlik Poland
Susan Bromley United Kingdom
Akhmad Makhmudi Indonesia
Milena La Spina Italy
Rika Aoki Japan
María José Casanova Spain
Kadri Haller Estonia
H. van Dekken Netherlands
Rosemarie Davidson United Kingdom
Stephen Peyton relative to Tracy Casalunovo United States Tracy Casalunovo's profile →
Citations per field
00.5×11.2×
Tracy Casalunovo · 1×
Citations per year

Countries citing papers authored by Stephen Peyton

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Stephen Peyton Line = papers co-authored together Stephen Peyton links everyone, so they are left out of the graph.

All Works

10 of 10 papers shown
#Work
1 201482
2 201838
3 201831
4 202020
5 201317
6 202015
7 202011
8 20198
9 20194
10
Design and implementation of a customized genotyping array for imputation-based genome-wide association studies: the Avera-NTR Global Screening Array
20171

About Stephen Peyton

Stephen Peyton is a scholar working on Surgery, Genetics, Oncology, Cancer Research and Molecular Biology, having authored 10 papers that have together received 227 indexed citations. Recurring topics across this work include Urinary and Genital Oncology Studies (4 papers), Colorectal Cancer Screening and Detection (2 papers), Epigenetics and DNA Methylation (2 papers), Bladder and Urothelial Cancer Treatments (2 papers), Urological Disorders and Treatments (2 papers), Cancer Genomics and Diagnostics (1 paper), Inflammatory Bowel Disease (1 paper) and Breast Cancer Treatment Studies (1 paper). The work is most often cited by research in Gastroenterology (67 citations), Urology (19 citations), Immunology (45 citations), Surgery (76 citations) and Cancer Research (25 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, Gareth E. Davies, M. Lisa Zhang, Patrick J. McIntire, Christopher J. VandenBussche, Jen‐Fan Hang, Erik A. Ehli and Poonam Vohra. Their work appears in journals such as Scientific Reports, The American Journal of Surgical Pathology, EBioMedicine, Journal of Autoimmunity and Epigenetics & Chromatin.

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.

Explore authors with similar magnitude of impact