African Field Epidemiology Network

5.9k citations
565 papers ·

Impact in

Papers in

African Field Epidemiology Network

481 papers receiving 5.8k citations

Peers

African Field Epidemiology Network
Comparison fields: 5 of 203
  • Modeling and Simulation 537
  • Health 780
  • Infectious Diseases 1.4k
  • Applied Microbiology and Biotechnology 154
  • Endocrinology 284
Replace World Health Organization - Nigeria with:
World Health Organization - Nigeria Nigeria
Nigeria Centre for Disease Control Nigeria
Institute of Human Virology Nigeria
National Primary Health Care Development Agency Nigeria
Ministry of Public Health Cameroon
National Hospital Abuja Nigeria
Ministère de la Santé Publique Niger
Ministry of Health Ghana
Centre Pasteur du Cameroun Cameroon
University of Medical Sciences, Ondo Nigeria
African Field Epidemiology Network relative to World Health Organization - Nigeria Nigeria World Health Organization - Nigeria's profile →
Citations per field
00.5×1.7×
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 565 papers, which have received a total of 5.9k indexed citations . Scholars at this organization have produced 75 papers in Modeling and Simulation, 93 papers in Health, 191 papers in Infectious Diseases, 5 papers in Microbiology and 11 papers in Applied Microbiology and Biotechnology on the topics of Vaccine Coverage and Hesitancy (82 papers), COVID-19 epidemiological studies (75 papers), Viral Infections and Outbreaks Research (72 papers), Global Maternal and Child Health (63 papers), Virology and Viral Diseases (44 papers), Malaria Research and Control (39 papers), Mosquito-borne diseases and control (32 papers) and Adolescent Sexual and Reproductive Health (28 papers). Their work is cited by papers focused on Modeling and Simulation (537 citations), Health (780 citations), Infectious Diseases (1.4k citations), Applied Microbiology and Biotechnology (154 citations) and Endocrinology (284 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, Muhammad Shakir Balogun, Mabel Kamweli Aworh, IkeOluwapo O. Ajayi, Chukwuma David Umeokonkwo, Jennifer Watling Neal and Jacob K. P. Kwaga.

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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