Peter Arimi

1.2k citations
14 papers · 565 · h-index 7

Impact in

  • Virology top 5%
    • HIV Research and Treatment
    • HIV/AIDS Research and Interventions
    • HIV/AIDS drug development and treatment

Papers in

Peter Arimi

13 papers receiving 544 citations

Peers

Peter Arimi
Comparison fields: 5 of 46
  • Virology 150
  • Infectious Diseases 392
  • Emergency Medicine 42
  • Epidemiology 106
  • General Health Professions 65
Replace Aida Asmelash with:
Aida Asmelash United States
Susanna Ceffa Italy
Gbolahan Ajibola United States
Agnes Langat Kenya
Siripon Kanshana Thailand
Mwangelwa Mubiana‐Mbewe Zambia
Tsedal Mebrahtu United States
Linda Mipando Malawi
D. Mbori-Ngacha United States
Besigin Tonwe‐Gold France
Peter Arimi relative to Aida Asmelash United States Aida Asmelash's profile →
Citations per field
00.5×2×2.9×
Aida Asmelash · 1×
Citations per year

Countries citing papers authored by Peter Arimi

Since Specialization
Citations

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

Fields of papers citing papers by Peter Arimi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

14 of 14 papers shown
#Work
1 2007307
2 2007131
3 200550
4 201926
5 200818
6 20248
7 20208
8 20216
9 20225
10 20242
11 20242
12 20241
13 20201
14 20230

About Peter Arimi

Peter Arimi is a scholar working on Infectious Diseases, Epidemiology, Virology, General Health Professions and Health, having authored 14 papers that have together received 565 indexed citations. Recurring topics across this work include HIV/AIDS Research and Interventions (7 papers), HIV, Drug Use, Sexual Risk (2 papers), Adolescent Sexual and Reproductive Health (2 papers), HIV-related health complications and treatments (1 paper), Data-Driven Disease Surveillance (1 paper), HIV/AIDS Impact and Responses (1 paper), HIV Research and Treatment (1 paper) and Sex work and related issues (1 paper). The work is most often cited by research in Virology (150 citations), Infectious Diseases (392 citations), Emergency Medicine (42 citations), Epidemiology (106 citations) and General Health Professions (65 citations). Peter Arimi has collaborated with scholars based in United States, Kenya and Canada. Frequent co-authors include Ibou Thior, Shahin Lockman, Claire Moffat, Max Essex, Lisa Stevens, Aida Asmelash, Laura M Smeaton, Roger Shapiro, Patrick Ndase and Vladimir Novitsky. Their work appears in journals such as Journal of the International AIDS Society, The Journal of Infectious Diseases, JMIR Public Health and Surveillance, New England Journal of Medicine and AIDS and Behavior.

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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