John Okombo

1.8k citations
45 papers · 992 · h-index 20

Impact in

Papers in

John Okombo

44 papers receiving 981 citations

Peers

John Okombo
Comparison fields: 5 of 90
  • Public Health, Environmental and Occupational Health 613
  • Parasitology 106
  • Structural Biology 19
  • Computational Theory and Mathematics 192
  • Infectious Diseases 177
Replace Kathryn J. Wicht with:
Kathryn J. Wicht South Africa
Satish K. Dhingra United States
Philipp P. Henrich United States
Shannon Kenny Australia
Sarah C. Charnaud Australia
Marjorie Maynadier France
Christine Manyando Zambia
Cecília P. Sanchez Germany
Ajay K. Saxena India
Prakasha Kempaiah United States
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 45 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019124
2 201798
3 201853
4 201352
5 202044
6 200938
7 201036
8 201436
9 201034
10 201933
11 202032
12 201529
13 201724
14 201124
15 201322
16 201621
17 201620
18 201720
19 201320
20 201920

About John Okombo

John Okombo is a scholar working on Public Health, Environmental and Occupational Health, Infectious Diseases, Computational Theory and Mathematics, Oncology and Molecular Biology, having authored 45 papers that have together received 992 indexed citations. Recurring topics across this work include Malaria Research and Control (39 papers), HIV/AIDS drug development and treatment (11 papers), Computational Drug Discovery Methods (11 papers), Research on Leishmaniasis Studies (11 papers), Mosquito-borne diseases and control (11 papers), Drug Transport and Resistance Mechanisms (9 papers), Trypanosoma species research and implications (5 papers) and Ferrocene Chemistry and Applications (2 papers). The work is most often cited by research in Public Health, Environmental and Occupational Health (613 citations), Parasitology (106 citations), Structural Biology (19 citations), Computational Theory and Mathematics (192 citations) and Infectious Diseases (177 citations). John Okombo has collaborated with scholars based in South Africa, Kenya and United States. Frequent co-authors include Kelly Chibale, Alexis Nzila, David A. Fidock, Kelly Chibale, Godwin Akpeko Dziwornu, Leah Mwai, Lynette Isabella Ochola‐Oyier, Eric O. Ohuma, Steven M. Kiara and Satish K. Dhingra. Their work appears in journals such as ACS Infectious Diseases, Antimicrobial Agents and Chemotherapy, Journal of Medicinal Chemistry, Journal of Antimicrobial Chemotherapy and PLoS Pathogens.

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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