Peter Jay Chipimo

846 citations
27 papers · 566 · h-index 11

Impact in

    • SARS-CoV-2 and COVID-19 Research
    • HIV/AIDS Research and Interventions
    • SARS-CoV-2 detection and testing
    • COVID-19 Clinical Research Studies
    • Tuberculosis Research and Epidemiology
  • Health top 10%
    • Intimate Partner and Family Violence
    • Vaccine Coverage and Hesitancy

Papers in

    • SARS-CoV-2 and COVID-19 Research 5
    • Tuberculosis Research and Epidemiology 2
    • HIV/AIDS Research and Interventions 2
    • Mental Health Treatment and Access 4

Peter Jay Chipimo

23 papers receiving 550 citations

Peers

Peter Jay Chipimo
Comparison fields: 5 of 41
  • Infectious Diseases 285
  • Health 33
  • Modeling and Simulation 11
  • Social Psychology 29
  • Applied Microbiology and Biotechnology 2
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Li-Gang Yang China
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Citations per year

Countries citing papers authored by Peter Jay Chipimo

Since Specialization
Citations

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

Fields of papers citing papers by Peter Jay Chipimo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2022114
2 2021106
3 201347
4 201941
5 202040
6 201039
7 200929
8 201628
9 201925
10 202023
11 202212
12 20258
13 20227
14 20116
15 20206
16 20236
17 20105
18 20135
19 20255
20 20104

About Peter Jay Chipimo

Peter Jay Chipimo is a scholar working on Infectious Diseases, Social Psychology, Endocrinology, Health and Applied Psychology, having authored 27 papers that have together received 566 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (5 papers), Mental Health Treatment and Access (4 papers), Tuberculosis Research and Epidemiology (2 papers), HIV/AIDS Research and Interventions (2 papers), Vaccine Coverage and Hesitancy (2 papers), Vibrio bacteria research studies (2 papers), Digital Mental Health Interventions (1 paper) and Malaria Research and Control (1 paper). The work is most often cited by research in Infectious Diseases (285 citations), Health (33 citations), Modeling and Simulation (11 citations), Social Psychology (29 citations) and Applied Microbiology and Biotechnology (2 citations). Peter Jay Chipimo has collaborated with scholars based in Zambia, United States and Norway. Frequent co-authors include Knut Fýlkesnes, Marte Jürgensen, Charles Michelo, Ingvild Fossgard Sandøy, Rose Apondi, Nzali G. Kancheya, Kimberly H. Nguyen, Pragna Patel, Andrés Villaveces and Howard C. Kress. Their work appears in journals such as MMWR Morbidity and Mortality Weekly Report, American Journal of Tropical Medicine and Hygiene, International Journal of Infectious Diseases, Social Science & Medicine and Tropical Medicine and 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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