Eric Osoro

1.8k citations
67 papers · 1.2k · h-index 19

Impact in

    • COVID-19 epidemiological studies
    • Viral Infections and Vectors
    • SARS-CoV-2 and COVID-19 Research
    • Viral Infections and Outbreaks Research
    • COVID-19 Clinical Research Studies

Papers in

Eric Osoro

61 papers receiving 1.2k citations

Peers

Eric Osoro
Comparison fields: 5 of 100
  • Modeling and Simulation 136
  • Infectious Diseases 413
  • Agronomy and Crop Science 189
  • Applied Microbiology and Biotechnology 30
  • Virology 73
Replace Erica L. Dueger with:
Erica L. Dueger United States
Stefania Salmaso Italy
Stephanie J. Salyer United States
Zhenyu Gong China
Davun Holl Cambodia
Gwen M. Stephens Canada
Christianne Bruschke Netherlands
Hlaing Myat Thu Myanmar
David J. Wolking United States
ELIZABETH L. MUMFORD United States
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Citations per field
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Erica L. Dueger · 1×
Citations per year

Countries citing papers authored by Eric Osoro

Since Specialization
Citations

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

Fields of papers citing papers by Eric Osoro

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 67 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016133
2 2020128
3 201989
4 201277
5 201852
6 201151
7 201846
8 201442
9 202140
10 201836
11 201735
12 201932
13 202227
14 202126
15 201723
16 202120
17 202220
18 202320
19 201819
20 202218

About Eric Osoro

Eric Osoro is a scholar working on Infectious Diseases, Modeling and Simulation, Public Health, Environmental and Occupational Health, Agronomy and Crop Science and Small Animals, having authored 67 papers that have together received 1.2k indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (14 papers), Viral Infections and Outbreaks Research (12 papers), Viral Infections and Vectors (10 papers), Zoonotic diseases and public health (9 papers), SARS-CoV-2 and COVID-19 Research (9 papers), Influenza Virus Research Studies (8 papers), Animal Disease Management and Epidemiology (7 papers) and Vaccine Coverage and Hesitancy (6 papers). The work is most often cited by research in Modeling and Simulation (136 citations), Infectious Diseases (413 citations), Agronomy and Crop Science (189 citations), Applied Microbiology and Biotechnology (30 citations) and Virology (73 citations). Eric Osoro has collaborated with scholars based in Kenya, United States and Belgium. Frequent co-authors include M. Kariuki Njenga, Peninah M. Munyua, Athman Juma Mwatondo, Samuel M. Thumbi, Mark O. Nanyingi, Austine Bitek, John Mwangi Gachohi, Mathew Muturi, Isaac Ngere and Marc‐Alain Widdowson. Their work appears in journals such as PLoS ONE, Vaccine, BMJ Global Health, Epidemiology and Infection and American Journal of Tropical Medicine and Hygiene.

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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