James Pitman

622 citations
11 papers · 381 · h-index 9

Impact in

    • Viral Infections and Vectors
    • SARS-CoV-2 and COVID-19 Research
    • SARS-CoV-2 detection and testing
    • COVID-19 Clinical Research Studies
    • Viral Infections and Outbreaks Research
  • Parasitology top 10%
    • Vector-borne infectious diseases

Papers in

James Pitman

11 papers receiving 373 citations

Peers

James Pitman
Comparison fields: 5 of 70
  • Infectious Diseases 264
  • Parasitology 62
  • General Dentistry 13
  • Modeling and Simulation 27
  • Public Health, Environmental and Occupational Health 77
Replace Eun-Ha Kim with:
Eun-Ha Kim South Korea
Linda Easterbrook United Kingdom
Izabela Ragan United States
Fabián E. Díaz Chile
Ayşe Başak Altaş Türkiye
Benoît Kabamba Belgium
Josilene Nascimento Seixas Brazil
Mark Anthony B. Casel South Korea
Xiangfeng Dou China
Rafael Rahal Guaragna Machado Brazil
James Pitman relative to Eun-Ha Kim South Korea Eun-Ha Kim's profile →
Citations per field
00.5×10×13×
Eun-Ha Kim · 1×
Citations per year

Countries citing papers authored by James Pitman

Since Specialization
Citations

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

Fields of papers citing papers by James Pitman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

11 of 11 papers shown
#Work
1 201596
2 202080
3 202146
4 201136
5 201430
6 201729
7 201421
8 201120
9 202111
10 20178
11 20234

About James Pitman

James Pitman is a scholar working on Infectious Diseases, Public Health, Environmental and Occupational Health, Parasitology, Ecology, Evolution, Behavior and Systematics and Molecular Biology, having authored 11 papers that have together received 381 indexed citations. Recurring topics across this work include Viral Infections and Vectors (7 papers), Viral Infections and Outbreaks Research (4 papers), Vector-borne infectious diseases (3 papers), Mosquito-borne diseases and control (3 papers), SARS-CoV-2 and COVID-19 Research (2 papers), Vector-Borne Animal Diseases (2 papers), Infection Control and Ventilation (1 paper) and Advanced Proteomics Techniques and Applications (1 paper). The work is most often cited by research in Infectious Diseases (264 citations), Parasitology (62 citations), General Dentistry (13 citations), Modeling and Simulation (27 citations) and Public Health, Environmental and Occupational Health (77 citations). James Pitman has collaborated with scholars based in United Kingdom, United States and Australia. Frequent co-authors include Linda Easterbrook, Kevin R. Bewley, Roger Hewson, Emma Rayner, Stuart Dowall, Kevin S. Richards, Robert J. Watson, Miles W. Carroll, Jane Burton and Irene Taylor. Their work appears in journals such as Clinical Infectious Diseases, Journal of Veterinary Diagnostic Investigation, Chemical Science, Journal of General Virology and Antimicrobial Agents and Chemotherapy.

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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