James M. Mutunga

626 citations
26 papers · 427 · h-index 13

Impact in

Papers in

James M. Mutunga

25 papers receiving 420 citations

Peers

James M. Mutunga
Comparison fields: 5 of 71
  • Public Health, Environmental and Occupational Health 257
  • Pharmacology 98
  • Insect Science 68
  • Pharmaceutical Science 28
  • Plant Science 162
Replace Carolina Bioni Garcia Teles with:
Carolina Bioni Garcia Teles Brazil
Joshua A. Hartsel United States
Amanda Luisa da Fonseca Brazil
Masoud Keighobadi Iran
Milene Höehr de Moraes Brazil
Carolina Davies Argentina
Luciana Maria Ribeiro Antinarelli Brazil
Alicia Schinini Paraguay
David Fernandes Lima Brazil
Hélito Volpato Brazil
James M. Mutunga relative to Carolina Bioni Garcia Teles Brazil Carolina Bioni Garcia Teles's profile →
Citations per field
00.5×4.7×
Carolina Bioni Garcia Teles · 1×
Citations per year

Countries citing papers authored by James M. Mutunga

Since Specialization
Citations

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

Fields of papers citing papers by James M. Mutunga

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201543
2 201241
3 201835
4 200833
5 201531
6 201730
7 201229
8 201728
9 200826
10 201621
11 201520
12 201917
13 201216
14 201810
15 20187
16 20167
17 20196
18 20245
19 20215
20 20184

About James M. Mutunga

James M. Mutunga is a scholar working on Public Health, Environmental and Occupational Health, Pharmacology, Plant Science, Molecular Biology and Insect Science, having authored 26 papers that have together received 427 indexed citations. Recurring topics across this work include Malaria Research and Control (15 papers), Cholinesterase and Neurodegenerative Diseases (11 papers), Insect Pest Control Strategies (10 papers), Mosquito-borne diseases and control (9 papers), Insect Resistance and Genetics (5 papers), Computational Drug Discovery Methods (4 papers), Insect and Pesticide Research (3 papers) and Insect symbiosis and bacterial influences (2 papers). The work is most often cited by research in Public Health, Environmental and Occupational Health (257 citations), Pharmacology (98 citations), Insect Science (68 citations), Pharmaceutical Science (28 citations) and Plant Science (162 citations). James M. Mutunga has collaborated with scholars based in United States, Kenya and United Kingdom. Frequent co-authors include Dawn M. Wong, Jeffrey R. Bloomquist, Paul R. Carlier, Maxim Totrov, Jianyong Li, Guofa Zhou, Andrew K. Githeko, Guiyun Yan, Fan Tong and Polo C.‐H. Lam. Their work appears in journals such as Malaria Journal, Pesticide Biochemistry and Physiology, Vector-Borne and Zoonotic Diseases, Bioorganic & Medicinal Chemistry Letters and Journal of Medical Entomology.

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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