Phillip Bejon

580 citations
7 papers · 415 · h-index 6

Impact in

Papers in

Phillip Bejon

7 papers receiving 402 citations

Peers

Phillip Bejon
Comparison fields: 5 of 67
  • Parasitology 85
  • Public Health, Environmental and Occupational Health 328
  • Virology 21
  • Pediatrics, Perinatology and Child Health 68
  • Infectious Diseases 50
Replace Lucas Otieno with:
Lucas Otieno Kenya
Lydie Canier Cambodia
Espérance Ouédraogo Burkina Faso
Beatriz Galatas Spain
Ismaela Abubakar United Kingdom
Ken Awuondo Kenya
Jasmin Akter Bangladesh
Modibo Daou Mali
Stéphanie Boström Sweden
Suzanna L. R. McDonald United Kingdom
Phillip Bejon relative to Lucas Otieno Kenya Lucas Otieno's profile →
Citations per field
00.5×1.5×1.9×
Lucas Otieno · 1×
Citations per year

Countries citing papers authored by Phillip Bejon

Since Specialization
Citations

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

Fields of papers citing papers by Phillip Bejon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

7 of 7 papers shown
#Work
1 2008335
2 200638
3 200321
4 20237
5 20147
6 20246
7
B cell memory to three P. falciparum blood stage antigens in an endemic area
20051

About Phillip Bejon

Phillip Bejon is a scholar working on Public Health, Environmental and Occupational Health, Infectious Diseases, Virology, Pediatrics, Perinatology and Child Health and Epidemiology, having authored 7 papers that have together received 415 indexed citations. Recurring topics across this work include Mosquito-borne diseases and control (4 papers), Malaria Research and Control (3 papers), Dermatological diseases and infestations (2 papers), HIV Research and Treatment (1 paper), Vibrio bacteria research studies (1 paper), Computational Drug Discovery Methods (1 paper), Global Maternal and Child Health (1 paper) and Bacterial Infections and Vaccines (1 paper). The work is most often cited by research in Parasitology (85 citations), Public Health, Environmental and Occupational Health (328 citations), Virology (21 citations), Pediatrics, Perinatology and Child Health (68 citations) and Infectious Diseases (50 citations). Phillip Bejon has collaborated with scholars based in United Kingdom, Kenya and Senegal. Frequent co-authors include Charles R. Newton, Kevin Marsh, Wendy Prudhomme O’Meara, Norbert Peshu, Robert W. Snow, Emelda A. Okiro, Tabitha Mwangi, Kathryn Maitland, Thomas Lang and Oscar Kai. Their work appears in journals such as The Lancet, PLoS neglected tropical diseases, The FASEB Journal, Current Opinion in Infectious Diseases and Vaccine.

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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