John Ditekemena

38 papers receiving 1.1k citations

Hit Papers

Factors Affecting COVID-19 Vaccine Acceptance: An International Survey among Low- and Middle-Income Countries 2021 · 229 citations
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Peers

John Ditekemena
Comparison fields: 5 of 83
  • Modeling and Simulation 253
  • Health 447
  • Infectious Diseases 503
  • Pediatrics, Perinatology and Child Health 435
  • Obstetrics and Gynecology 111
Replace Yvonne Tam with:
Yvonne Tam United States
Thérèse Delvaux Belgium
Bisola O. Ojikutu United States
Alison Swartz South Africa
Sidikiba Sidibé Guinea
Brent Wolff Uganda
Chloe A. Teasdale United States
Eugene Budu Ghana
Albert Dube Malawi
Kristin N. Nelson United States
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Countries citing papers authored by John Ditekemena

Since Specialization
Citations

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

Fields of papers citing papers by John Ditekemena

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20240
2 20241
3 20233
4 20230
5 20223
6
Factors Affecting COVID-19 Vaccine Acceptance: An International Survey among Low- and Middle-Income Countries
Hit paper breakdown →
2021229
7 202113
8 202155
9 20209
10 202016
11 201714
12 20178
13 201416
14 201211
15 2012197
16 201118
17 201138
18 20117
19 201015
20 200912

About John Ditekemena

John Ditekemena is a scholar working on Modeling and Simulation, Infectious Diseases, Virology, Pediatrics, Perinatology and Child Health and Health, having authored 44 papers that have together received 1.2k indexed citations. Recurring topics across this work include Global Maternal and Child Health (18 papers), HIV/AIDS Research and Interventions (13 papers), COVID-19 epidemiological studies (9 papers), Vaccine Coverage and Hesitancy (7 papers), COVID-19 and Mental Health (6 papers), Adolescent Sexual and Reproductive Health (6 papers), HIV Research and Treatment (5 papers) and SARS-CoV-2 and COVID-19 Research (4 papers). The work is most often cited by research in Modeling and Simulation (253 citations), Health (447 citations), Infectious Diseases (503 citations), Pediatrics, Perinatology and Child Health (435 citations) and Obstetrics and Gynecology (111 citations). John Ditekemena has collaborated with scholars based in Democratic Republic of the Congo, United States and Belgium. Frequent co-authors include Robert Colebunders, Antoinette Tshefu, Richard Matendo, Cyril Engmann, Joseph Nelson Siewe Fodjo, Olivier Koole, Robert W. Ryder, Dalau Mukadi Nkamba, Christophe Luhata and Hypolite Muhindo Mavoko. Their work appears in journals such as Tropical Medicine & International Health, Vaccines, International Journal of Environmental Research and Public Health, Journal of the International Association of Providers of AIDS Care (JIAPAC) and BMC Pregnancy and Childbirth.

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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