John Okombo

1.7k citations
43 papers · 924 indexed · h-index 19

Impact in

Papers in

John Okombo

41 papers receiving 917 citations

Peers

John Okombo
Comparison fields: 5 of 89
  • Public Health, Environmental and Occupational Health 587
  • Parasitology 114
  • Computational Theory and Mathematics 211
  • Structural Biology 18
  • Infectious Diseases 180
Replace Kathryn J. Wicht with:
Kathryn J. Wicht South Africa
Satish K. Dhingra United States
Stanley C. Xie Australia
Philipp P. Henrich United States
Susan E. Francis United States
Christine Manyando Zambia
Shannon Kenny Australia
Sarah C. Charnaud Australia
Marjorie Maynadier France
Cecília P. Sanchez Germany
John Okombo relative to Kathryn J. Wicht South Africa Kathryn J. Wicht's profile →
Citations per field
00.5×1.5×1.8×
Kathryn J. Wicht · 1×
Citations per year

Countries citing papers authored by John Okombo

Since Specialization
Citations

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

Fields of papers citing papers by John Okombo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019117
2 201796
3 201351
4 201848
5 202043
6 201436
7 200935
8 201033
9 201033
10 202031
11 201931
12 201527
13 201122
14 201621
15 201721
16 201320
17 201920
18 201719
19 201319
20 201617

About John Okombo

John Okombo is a scholar working on Public Health, Environmental and Occupational Health, Computational Theory and Mathematics, Infectious Diseases, Oncology and Molecular Biology, having authored 43 papers that have together received 924 indexed citations. Recurring topics across this work include Malaria Research and Control (37 papers), Mosquito-borne diseases and control (12 papers), Computational Drug Discovery Methods (12 papers), Research on Leishmaniasis Studies (10 papers), HIV/AIDS drug development and treatment (10 papers), Drug Transport and Resistance Mechanisms (10 papers), Trypanosoma species research and implications (4 papers) and HIV Research and Treatment (2 papers). The work is most often cited by research in Public Health, Environmental and Occupational Health (587 citations), Parasitology (114 citations), Computational Theory and Mathematics (211 citations), Structural Biology (18 citations) and Infectious Diseases (180 citations). John Okombo has collaborated with scholars based in South Africa, United Kingdom and United States. Frequent co-authors include Kelly Chibale, Alexis Nzila, David A. Fidock, Kelly Chibale, Lynette Isabella Ochola‐Oyier, Godwin Akpeko Dziwornu, Leah Mwai, Eric O. Ohuma, Steven M. Kiara and Satish K. Dhingra. Their work appears in journals such as Antimicrobial Agents and Chemotherapy, ACS Infectious Diseases, Journal of Medicinal Chemistry, PLoS Pathogens and Journal of Antimicrobial 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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