Peyton Thompson

23 papers receiving 189 citations

Peers

Peyton Thompson
Comparison fields: 5 of 42
  • Health 59
  • Hepatology 50
  • Infectious Diseases 64
  • Epidemiology 106
  • Modeling and Simulation 11
Replace Ricardo Cortés-Alcalá with:
Ricardo Cortés-Alcalá Mexico
Nyankoye Haba Guinea
Martha Carnalla Mexico
Pamela Bravo‐Alcántara United States
Patrick Gad Iradukunda Rwanda
Delphine Rahib France
Anselm Okoro Nigeria
Lucia Craxì Italy
Vladimir Berthaud United States
Blanca Borràs-Bermejo Spain
Peyton Thompson relative to Ricardo Cortés-Alcalá Mexico Ricardo Cortés-Alcalá's profile →
Citations per field
00.5×3.1×
Ricardo Cortés-Alcalá · 1×
Citations per year

Countries citing papers authored by Peyton Thompson

Since Specialization
Citations

This map shows the geographic impact of Peyton Thompson'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 Peyton Thompson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peyton Thompson more than expected).

Fields of papers citing papers by Peyton Thompson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Peyton Thompson. 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 Peyton Thompson. The network helps show where Peyton Thompson may publish in the future.

Co-authors

The 25 scholars most cited alongside Peyton Thompson, 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 Peyton Thompson Line = papers co-authored together Peyton Thompson links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202130
2 202125
3 202225
4 201915
5 202115
6 201914
7 202210
8 20219
9 20209
10 20235
11 20235
12 20225
13 20224
14 20244
15 20224
16 20232
17 20222
18 20222
19 20222
20 20232

About Peyton Thompson

Peyton Thompson is a scholar working on Epidemiology, Health, Infectious Diseases, Pediatrics, Perinatology and Child Health and Hepatology, having authored 29 papers that have together received 192 indexed citations. Recurring topics across this work include Vaccine Coverage and Hesitancy (13 papers), Hepatitis B Virus Studies (11 papers), Hepatitis C virus research (6 papers), Global Maternal and Child Health (5 papers), SARS-CoV-2 and COVID-19 Research (4 papers), Hepatitis Viruses Studies and Epidemiology (4 papers), Ethics and Legal Issues in Pediatric Healthcare (3 papers) and HIV/AIDS Research and Interventions (3 papers). The work is most often cited by research in Health (59 citations), Hepatology (50 citations), Infectious Diseases (64 citations), Epidemiology (106 citations) and Modeling and Simulation (11 citations). Peyton Thompson has collaborated with scholars based in United States, Democratic Republic of the Congo and South Africa. Frequent co-authors include Melissa B. Gilkey, Noel T. Brewer, Qian Huang, Wei Yi Kong, Marcel Yotebieng, Martine Tabala, Jonathan B. Parr, Kashamuka Mwandagalirwa, Camille Morgan and Bienvenu Kawende. Their work appears in journals such as Vaccine, Open Forum Infectious Diseases, Journal of the Pediatric Infectious Diseases Society, The Journal of Infectious Diseases and Journal of Adolescent Health.

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.

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