John N. Gitonga

1.3k citations
12 papers · 179 · h-index 8

Impact in

Papers in

John N. Gitonga

12 papers receiving 170 citations

Peers

John N. Gitonga
Comparison fields: 5 of 63
  • Infectious Diseases 94
  • Geochemistry and Petrology 29
  • Modeling and Simulation 15
  • Water Science and Technology 37
  • Public Health, Environmental and Occupational Health 69
Replace Mehul Kumar Chourasia with:
Mehul Kumar Chourasia United Kingdom
Xingchun Liu China
Mauricio Beltrán Colombia
Jean Marius Rakotondramanga Madagascar
Matrujyoti Pattnaik India
Umme Ruman Siddiqi Bangladesh
Nishita Dsouza United States
Lorelay Mendoza Grijalva United States
Sarah Nadeau Switzerland
Sabiena G. Feenstra Netherlands
John N. Gitonga relative to Mehul Kumar Chourasia United Kingdom Mehul Kumar Chourasia's profile →
Citations per field
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Citations per year

Countries citing papers authored by John N. Gitonga

Since Specialization
Citations

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

Fields of papers citing papers by John N. Gitonga

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

12 of 12 papers shown
#Work
1
The occurrence and distribution of fluoride in groundwaters of Kenya.
198446
2 202026
3 199724
4 202119
5 202314
6 202113
7 201910
8 20227
9
Menstruation requirements as a barrier to contraceptive access in Kenya.
19996
10 20215
11 20235
12 20224

About John N. Gitonga

John N. Gitonga is a scholar working on Infectious Diseases, Public Health, Environmental and Occupational Health, Molecular Biology, Modeling and Simulation and Genetics, having authored 12 papers that have together received 179 indexed citations. Recurring topics across this work include Viral Infections and Vectors (5 papers), Viral Infections and Outbreaks Research (4 papers), SARS-CoV-2 and COVID-19 Research (3 papers), Mosquito-borne diseases and control (3 papers), COVID-19 epidemiological studies (2 papers), SARS-CoV-2 detection and testing (2 papers), Advanced biosensing and bioanalysis techniques (1 paper) and HIV Research and Treatment (1 paper). The work is most often cited by research in Infectious Diseases (94 citations), Geochemistry and Petrology (29 citations), Modeling and Simulation (15 citations), Water Science and Technology (37 citations) and Public Health, Environmental and Occupational Health (69 citations). John N. Gitonga has collaborated with scholars based in United Kingdom, Kenya and United States. Frequent co-authors include Firoze Manji, Henry Karanja, George M. Warimwe, Thomas A. Bowden, Daisy Mugo, Charles N. Agoti, Daniel Wright, David S. Peterson, Sabah A. Omar and George Githinji. Their work appears in journals such as iScience, PLoS Medicine, Nature Communications, BMC Infectious Diseases and International Journal of Infectious Diseases.

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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