John N. Gitonga

1.3k citations
12 papers · 191 · h-index 8

Impact in

Papers in

John N. Gitonga

12 papers receiving 180 citations

Peers

John N. Gitonga
Comparison fields: 5 of 64
  • Infectious Diseases 92
  • Geochemistry and Petrology 30
  • Water Science and Technology 40
  • Public Health, Environmental and Occupational Health 70
  • Modeling and Simulation 10
Replace Syeda Hira Fatima with:
Syeda Hira Fatima Pakistan
Xingchun Liu China
Jean Marius Rakotondramanga Madagascar
Roberto Vallorani Italy
Umme Ruman Siddiqi Bangladesh
Ali Karamoozian Iran
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Jonathan Hoffmann France
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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.
198450
2 202029
3 199725
4 202120
5 202316
6 202113
7 201910
8 20227
9
Menstruation requirements as a barrier to contraceptive access in Kenya.
19996
10 20225
11 20235
12 20215

About John N. Gitonga

John N. Gitonga is a scholar working on Infectious Diseases, Public Health, Environmental and Occupational Health, Molecular Biology, Genetics and Virology, having authored 12 papers that have together received 191 indexed citations. Recurring topics across this work include Mosquito-borne diseases and control (3 papers), Viral Infections and Vectors (3 papers), SARS-CoV-2 and COVID-19 Research (3 papers), SARS-CoV-2 detection and testing (2 papers), COVID-19 epidemiological studies (1 paper), Hemoglobinopathies and Related Disorders (1 paper), Vector-Borne Animal Diseases (1 paper) and Viral Infections and Outbreaks Research (1 paper). The work is most often cited by research in Infectious Diseases (92 citations), Geochemistry and Petrology (30 citations), Water Science and Technology (40 citations), Public Health, Environmental and Occupational Health (70 citations) and Modeling and Simulation (10 citations). John N. Gitonga has collaborated with scholars based in Kenya, United Kingdom and United States. Frequent co-authors include Firoze Manji, George M. Warimwe, Henry Karanja, Philip Bejon, Thomas A. Bowden, Charles N. Agoti, Daisy Mugo, Daniel Wright, Zaydah R. de Laurent and Donwilliams O. Omuoyo. Their work appears in journals such as PLoS ONE, The Lancet Infectious Diseases, BMC Infectious Diseases, Transactions of the Royal Society of Tropical Medicine and Hygiene and iScience.

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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