Kibet Sergon

1.6k citations
15 papers · 953 · h-index 13

Impact in

Papers in

Kibet Sergon

15 papers receiving 916 citations

Peers

Kibet Sergon
Comparison fields: 5 of 76
  • Infectious Diseases 564
  • Public Health, Environmental and Occupational Health 710
  • Health 65
  • Modeling and Simulation 36
  • Virology 26
Replace Kanya C. Long with:
Kanya C. Long United States
Daouda Sissoko France
Abdourahmane Sow Senegal
Maïna L’Azou France
Mark D. Gershman United States
Daniel Singer United States
José Luis San Martín United States
Claude Flamand France
Kévin Jean France
María Almirón United States
Kibet Sergon relative to Kanya C. Long United States Kanya C. Long's profile →
Citations per field
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Kanya C. Long · 1×
Citations per year

Countries citing papers authored by Kibet Sergon

Since Specialization
Citations

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

Fields of papers citing papers by Kibet Sergon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

15 of 15 papers shown
#Work
1 2008248
2 2007168
3 2007156
4 2008143
5 200870
6 202025
7 202023
8 201822
9 201819
10 201818
11 202017
12 201716
13 201915
14 20199
15 20204

About Kibet Sergon

Kibet Sergon is a scholar working on Infectious Diseases, Public Health, Environmental and Occupational Health, Health, Cardiology and Cardiovascular Medicine and Pediatrics, Perinatology and Child Health, having authored 15 papers that have together received 953 indexed citations. Recurring topics across this work include Mosquito-borne diseases and control (5 papers), Viral Infections and Vectors (5 papers), Viral Infections and Outbreaks Research (3 papers), Malaria Research and Control (2 papers), Vaccine Coverage and Hesitancy (2 papers), Global Maternal and Child Health (2 papers), Child Nutrition and Water Access (2 papers) and Viral Infections and Immunology Research (2 papers). The work is most often cited by research in Infectious Diseases (564 citations), Public Health, Environmental and Occupational Health (710 citations), Health (65 citations), Modeling and Simulation (36 citations) and Virology (26 citations). Kibet Sergon has collaborated with scholars based in Kenya, United States and Zimbabwe. Frequent co-authors include Robert F. Breiman, Rosemary Sang, Clayton Onyango, Ann M. Powers, M. Kariuki Njenga, Sheryl A. Bedno, Victor Ofula, Charles Njuguna, Heather Burke and Rosalia Kalani. Their work appears in journals such as PLoS ONE, American Journal of Tropical Medicine and Hygiene, BMC Infectious Diseases, Health Policy and Planning and BMC Public Health.

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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