James Kiguli

797 citations
11 papers · 628 · h-index 9

Impact in

Papers in

James Kiguli

11 papers receiving 603 citations

Peers

James Kiguli
Comparison fields: 5 of 59
  • Public Health, Environmental and Occupational Health 527
  • Parasitology 49
  • Pharmacology 52
  • Family Practice 7
  • Computational Theory and Mathematics 64
Replace Abdunoor M. Kabanywanyi with:
Abdunoor M. Kabanywanyi Tanzania
K Chalermrut Thailand
Francis Hombhanje Japan
Kristin Banek United States
ME Molyneux United Kingdom
A Samé‐Ekobo Cameroon
Sant Muangnoicharoen Thailand
Noël Rouamba Burkina Faso
Phillips Chimpeni Malawi
Samlane Phompida Laos
James Kiguli relative to Abdunoor M. Kabanywanyi Tanzania Abdunoor M. Kabanywanyi's profile →
Citations per field
00.5×1.5×1.8×
Abdunoor M. Kabanywanyi · 1×
Citations per year

Countries citing papers authored by James Kiguli

Since Specialization
Citations

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

Fields of papers citing papers by James Kiguli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

11 of 11 papers shown
#Work
1 2005165
2 2004113
3 2002104
4 200756
5 200654
6 200654
7 200448
8 201515
9 200711
10 20217
11 20181

About James Kiguli

James Kiguli is a scholar working on Public Health, Environmental and Occupational Health, Parasitology, Infectious Diseases, Small Animals and Computer Vision and Pattern Recognition, having authored 11 papers that have together received 628 indexed citations. Recurring topics across this work include Malaria Research and Control (7 papers), Mosquito-borne diseases and control (5 papers), Parasites and Host Interactions (3 papers), Travel-related health issues (1 paper), Trypanosoma species research and implications (1 paper), Digital Imaging for Blood Diseases (1 paper), Pharmaceutical Economics and Policy (1 paper) and Parasitic Diseases Research and Treatment (1 paper). The work is most often cited by research in Public Health, Environmental and Occupational Health (527 citations), Parasitology (49 citations), Pharmacology (52 citations), Family Practice (7 citations) and Computational Theory and Mathematics (64 citations). James Kiguli has collaborated with scholars based in Uganda, France and South Africa. Frequent co-authors include Jean‐Paul Guthmann, Patrice Piola, Carole Fogg, Francis Bajunirwe, Samuel Biraro, Francesco Checchi, Gérardo Priotto, Dominique Legros, Laurence Bonte and Eugene Ruzagira. Their work appears in journals such as Transactions of the Royal Society of Tropical Medicine and Hygiene, American Journal of Tropical Medicine and Hygiene, Malaria Journal, Tropical Medicine & International Health and The Lancet.

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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