Ernest Kenu

2.9k citations
191 papers · 1.8k indexed · h-index 25

Impact in

  • Virology top 5%
    • HIV Research and Treatment
    • Tuberculosis Research and Epidemiology
    • HIV/AIDS drug development and treatment
    • HIV/AIDS Research and Interventions

Papers in

Ernest Kenu

166 papers receiving 1.7k citations

Peers

Ernest Kenu
Comparison fields: 5 of 154
  • Virology 179
  • Infectious Diseases 655
  • Modeling and Simulation 103
  • Epidemiology 617
  • Pediatrics, Perinatology and Child Health 249
Replace Mufuta Tshimanga with:
Mufuta Tshimanga Zimbabwe
Lukas Fenner Switzerland
Taro Kamigaki Japan
Ricardo Arraes de Alencar Ximenes Brazil
Gianluca Russo Italy
Tanmay Mahapatra United States
Massimo Fabiani Italy
Elizabeth Begier United States
David L. Blazes United States
Jaranit Kaewkungwal Thailand
Ernest Kenu relative to Mufuta Tshimanga Zimbabwe Mufuta Tshimanga's profile →
Citations per field
00.5×
Mufuta Tshimanga · 1×
Citations per year

Countries citing papers authored by Ernest Kenu

Since Specialization
Citations

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

Fields of papers citing papers by Ernest Kenu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20242
2 20241
3 20240
4 20241
5 20244
6 20232
7 20233
8 20233
9 20233
10 20223
11 20221
12 202211
13 202113
14 202017
15 20203
16 20193
17 201937
18 201728
19 20166
20 201613

About Ernest Kenu

Ernest Kenu is a scholar working on Modeling and Simulation, Infectious Diseases, Virology, Epidemiology and Microbiology, having authored 191 papers that have together received 1.8k indexed citations. Recurring topics across this work include Global Maternal and Child Health (32 papers), Viral Infections and Outbreaks Research (23 papers), COVID-19 epidemiological studies (20 papers), Tuberculosis Research and Epidemiology (17 papers), Virology and Viral Diseases (15 papers), Respiratory viral infections research (14 papers), Pneumonia and Respiratory Infections (14 papers) and Child Nutrition and Water Access (13 papers). The work is most often cited by research in Virology (179 citations), Infectious Diseases (655 citations), Modeling and Simulation (103 citations), Epidemiology (617 citations) and Pediatrics, Perinatology and Child Health (249 citations). Ernest Kenu has collaborated with scholars based in Ghana, United States and India. Frequent co-authors include Margaret Lartey, Delia Akosua Bandoh, Donne Ameme, Edwin Afari, Samuel Oko Sackey, Awewura Kwara, Kofi Nyarko, Joseph Asamoah Frimpong, Michael H. Court and Kwadwo Koram. Their work appears in journals such as PLoS ONE, BMC Public Health, BMC Pregnancy and Childbirth, International Journal of Infectious Diseases and Frontiers in Public Health.

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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