Winyi Kaboyo

582 total citations
8 papers, 280 citations indexed

About

Winyi Kaboyo is a scholar working on Infectious Diseases, Agronomy and Crop Science and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Winyi Kaboyo has authored 8 papers receiving a total of 280 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Infectious Diseases, 5 papers in Agronomy and Crop Science and 5 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Winyi Kaboyo's work include Animal Disease Management and Epidemiology (5 papers), Zoonotic diseases and public health (5 papers) and Viral Infections and Vectors (4 papers). Winyi Kaboyo is often cited by papers focused on Animal Disease Management and Epidemiology (5 papers), Zoonotic diseases and public health (5 papers) and Viral Infections and Vectors (4 papers). Winyi Kaboyo collaborates with scholars based in Uganda, United Kingdom and United States. Winyi Kaboyo's co-authors include Eric M. Fèvre, Charles Waiswa, Kohei Makita, Mark C. Eisler, Susan C. Welburn, Mark Bronsvoort, Anthony K. Mbonye, Issa Makumbi, Jane Ruth Aceng and Joseph Francis Wamala and has published in prestigious journals such as PLoS ONE, Annals of the New York Academy of Sciences and Revue Scientifique et Technique de l OIE.

In The Last Decade

Winyi Kaboyo

8 papers receiving 266 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Winyi Kaboyo Uganda 7 142 111 88 83 68 8 280
Victor Oluwatoyin Akinseye Nigeria 13 131 0.9× 45 0.4× 50 0.6× 112 1.3× 87 1.3× 29 345
David J. Wolking United States 9 165 1.2× 151 1.4× 75 0.9× 22 0.3× 52 0.8× 14 293
Kariuki Njenga United States 11 190 1.3× 165 1.5× 171 1.9× 116 1.4× 99 1.5× 26 446
Mathew Muturi Kenya 12 188 1.3× 193 1.7× 145 1.6× 54 0.7× 93 1.4× 36 427
Claudiomar Soares Brod Brazil 14 137 1.0× 51 0.5× 26 0.3× 91 1.1× 24 0.4× 32 481
Austine Bitek Kenya 11 209 1.5× 190 1.7× 167 1.9× 117 1.4× 67 1.0× 12 439
Robert G. Rivard United States 10 201 1.4× 72 0.6× 12 0.1× 93 1.1× 93 1.4× 24 365
Kathrin Schemann Australia 12 85 0.6× 73 0.7× 180 2.0× 82 1.0× 88 1.3× 29 354
Fredrick Ade Kenya 7 156 1.1× 106 1.0× 85 1.0× 57 0.7× 37 0.5× 7 282
Nusirat Elelu Nigeria 11 145 1.0× 50 0.5× 36 0.4× 88 1.1× 15 0.2× 37 317

Countries citing papers authored by Winyi Kaboyo

Since Specialization
Citations

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

Fields of papers citing papers by Winyi Kaboyo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Winyi Kaboyo

This figure shows the co-authorship network connecting the top 25 collaborators of Winyi Kaboyo. A scholar is included among the top collaborators of Winyi Kaboyo based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Winyi Kaboyo. Winyi Kaboyo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

8 of 8 papers shown
1.
Ilukor, John, et al.. (2019). The importance of a One Health approach for prioritising zoonotic diseases to focus on capacity-building efforts in Uganda. Revue Scientifique et Technique de l OIE. 38(1). 315–325. 9 indexed citations
2.
Nzietchueng, Serge, Dominic Kambarage, Innocent B. Rwego, et al.. (2019). Post-Ebola Awakening: Urgent Call for Investing in Maintaining Effective Preparedness Capacities at the National and Regional Levels in Sub-Saharan Africa. PubMed. 3(1). 79–84. 6 indexed citations
3.
Sekamatte, Musa, Vikram Krishnasamy, Lilian Bulage, et al.. (2018). Multisectoral prioritization of zoonotic diseases in Uganda, 2017: A One Health perspective. PLoS ONE. 13(5). e0196799–e0196799. 73 indexed citations
4.
Amman, Brian R., César G. Albariño, Brian H. Bird, et al.. (2015). A Recently Discovered Pathogenic Paramyxovirus, Sosuga Virus, is Present in Rousettus aegyptiacus Fruit Bats at Multiple Locations in Uganda. Journal of Wildlife Diseases. 51(3). 774–779. 54 indexed citations
5.
Mbonye, Anthony K., et al.. (2013). Repeated outbreaks of Viral hemorrhagic fevers in Uganda. African Health Sciences. 12(4). 579–83. 42 indexed citations
6.
Makita, Kohei, Eric M. Fèvre, Charles Waiswa, et al.. (2011). Evidence-Based Identification of the Most Important Livestock Related Zoonotic Diseases in Kampala, Uganda. Journal of Veterinary Medical Science. 73(8). 991–1000. 15 indexed citations
7.
Makita, Kohei, Eric M. Fèvre, Charles Waiswa, et al.. (2011). Spatial epidemiology of hospital-diagnosed brucellosis in Kampala, Uganda. International Journal of Health Geographics. 10(1). 52–52. 24 indexed citations
8.
Makita, Kohei, Eric M. Fèvre, Charles Waiswa, et al.. (2008). Human Brucellosis in Urban and Peri‐Urban Areas of Kampala, Uganda. Annals of the New York Academy of Sciences. 1149(1). 309–311. 57 indexed citations

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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