African Field Epidemiology Network

6.5k citations
621 papers ·

Impact in

Papers in

African Field Epidemiology Network

422 papers receiving 4.8k citations

Peers

African Field Epidemiology Network
Comparison fields: 5 of 203
  • Health 601
  • Applied Microbiology and Biotechnology 145
  • Modeling and Simulation 361
  • Infectious Diseases 1.2k
  • Endocrinology 280
Replace World Health Organization - Nigeria with:
World Health Organization - Nigeria Nigeria
Nigeria Centre for Disease Control Nigeria
National Hospital Abuja Nigeria
Ministry of Public Health Cameroon
Ministère de la Santé Publique Niger
Ministry of Health Ghana
Centre Pasteur du Cameroun Cameroon
University of Medical Sciences, Ondo Nigeria
Kumasi Centre for Collaborative Research in Tropical Medicine Ghana
University Teaching Hospital of Yaounde Cameroon
African Field Epidemiology Network relative to World Health Organization - Nigeria Nigeria World Health Organization - Nigeria's profile →
Citations per field
00.5×1.5×1.8×
World Health Organization - Nigeria · 1×
Citations per year

Countries citing scholars working at African Field Epidemiology Network

Since Specialization
Citations

This map shows the geographic impact of research produced by authors working at African Field Epidemiology Network. 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 papers produced at African Field Epidemiology Network with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites African Field Epidemiology Network more than expected).

Fields of papers published by authors at African Field Epidemiology Network

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers affiliated with African Field Epidemiology Network at the time of their publication. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers affiliated with African Field Epidemiology Network at the time of their publication.

About African Field Epidemiology Network

In recent decades, authors affiliated with African Field Epidemiology Network have published 621 papers, which have received a total of 6.5k indexed citations . Scholars at this organization have produced 44 papers in Modeling and Simulation, 142 papers in Infectious Diseases, 55 papers in Health, 5 papers in Microbiology and 9 papers in Applied Microbiology and Biotechnology on the topics of Viral Infections and Outbreaks Research (63 papers), Vaccine Coverage and Hesitancy (50 papers), COVID-19 epidemiological studies (44 papers), Virology and Viral Diseases (39 papers), Malaria Research and Control (34 papers), Disaster Response and Management (22 papers), Global Maternal and Child Health (21 papers) and Viral Infections and Vectors (18 papers). Their work is cited by papers focused on Health (601 citations), Applied Microbiology and Biotechnology (145 citations), Modeling and Simulation (361 citations), Infectious Diseases (1.2k citations) and Endocrinology (280 citations). Authors at African Field Epidemiology Network collaborate with scholars in Nigeria, United States and United Kingdom and have published in prestigious journals including International Journal of Infectious Diseases, PLoS ONE, BMC Public Health, Malaria Journal and Vaccine. Some of African Field Epidemiology Network's most productive authors include Patrick Nguku, Kenneth Kanayo Alaneme, Eloho Anita Okotete, Olufemi Ajumobi, Mabel Kamweli Aworh, Muhammad Shakir Balogun, IkeOluwapo O. Ajayi, Chukwuma David Umeokonkwo, Jacob K. P. Kwaga and Saheed Gidado.

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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