Francis Gakuya

1.9k citations
70 papers · 1.3k · h-index 21

Impact in

    • Viral Infections and Vectors
    • Dermatological diseases and infestations
    • Viral Infections and Outbreaks Research
    • Vector-borne infectious diseases

Papers in

Francis Gakuya

65 papers receiving 1.2k citations

Peers

Francis Gakuya
Comparison fields: 5 of 101
  • Infectious Diseases 694
  • Parasitology 234
  • Ecology, Evolution, Behavior and Systematics 385
  • Agronomy and Crop Science 170
  • Small Animals 116
Replace Carmelo Ortega with:
Carmelo Ortega Spain
Kim R. Blasdell Australia
Álvaro Oleaga Spain
Roser Velarde Spain
René Bødker Denmark
Christoph Schulze Germany
Luís León-Vizcaíno Spain
Karrie Rose Australia
Joseph L. Corn United States
Deana L. Clifford United States
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Citations per field
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Carmelo Ortega · 1×
Citations per year

Countries citing papers authored by Francis Gakuya

Since Specialization
Citations

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

Fields of papers citing papers by Francis Gakuya

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 70 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007133
2 201488
3 202178
4 201360
5 200757
6 200251
7 201849
8 201744
9 201143
10 201438
11 201237
12 200130
13 201430
14 201229
15 201425
16 201325
17 200121
18 202221
19 202120
20 201120

About Francis Gakuya

Francis Gakuya is a scholar working on Infectious Diseases, Ecology, Evolution, Behavior and Systematics, Public Health, Environmental and Occupational Health, Parasitology and Agronomy and Crop Science, having authored 70 papers that have together received 1.3k indexed citations. Recurring topics across this work include Viral Infections and Vectors (21 papers), Vector-Borne Animal Diseases (21 papers), Animal Disease Management and Epidemiology (16 papers), Vector-borne infectious diseases (15 papers), Zoonotic diseases and public health (15 papers), Wildlife Ecology and Conservation (12 papers), Dermatological diseases and infestations (7 papers) and Viral Infections and Outbreaks Research (5 papers). The work is most often cited by research in Infectious Diseases (694 citations), Parasitology (234 citations), Ecology, Evolution, Behavior and Systematics (385 citations), Agronomy and Crop Science (170 citations) and Small Animals (116 citations). Francis Gakuya has collaborated with scholars based in Kenya, United States and Switzerland. Frequent co-authors include Ramón C. Soriguer, Samer Alasaad, Vincent Obanda, Luca Rossi, M. Kariuki Njenga, Patrick Omondi, Samuel Kariuki, Robert F. Breiman, Petrus Jansen van Vuren and Janusz T. Pawęska. Their work appears in journals such as Parasites & Vectors, PLoS ONE, BMC Veterinary Research, Epidemiology and Infection and Transboundary and Emerging 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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