David Ojakaa

728 citations
19 papers · 475 · h-index 11

Impact in

Papers in

David Ojakaa

19 papers receiving 463 citations

Peers

David Ojakaa
Comparison fields: 5 of 72
  • Infectious Diseases 195
  • General Health Professions 242
  • Health 67
  • Applied Microbiology and Biotechnology 14
  • Pediatrics, Perinatology and Child Health 122
Replace Michelle Engelbrecht with:
Michelle Engelbrecht South Africa
Gladys Kigozi South Africa
Wasiu Olalekan Adebimpe Nigeria
Clair Mills New Zealand
Reta Tsegaye Ethiopia
Beverley Stringer United Kingdom
Maysoon Dahab United Kingdom
Ozayr Mahomed South Africa
David Kaawa–Mafigiri Uganda
Deodatus Kakoko Tanzania
David Ojakaa relative to Michelle Engelbrecht South Africa Michelle Engelbrecht's profile →
Citations per field
00.5×1.5×
Michelle Engelbrecht · 1×
Citations per year

Countries citing papers authored by David Ojakaa

Since Specialization
Citations

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

Fields of papers citing papers by David Ojakaa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

19 of 19 papers shown
#Work
1 2014110
2 201250
3 201850
4 201449
5 201144
6 201337
7 201835
8 201423
9 201319
10 202215
11 201712
12 20179
13 20168
14 20116
15
National study to review existing policy documents and identification of upcoming priority national health policy issues in East African community partner states : Kenya country report
20082
16 20162
17 20142
18 20151
19 20111

About David Ojakaa

David Ojakaa is a scholar working on General Health Professions, Infectious Diseases, Pediatrics, Perinatology and Child Health, Health and Economics and Econometrics, having authored 19 papers that have together received 475 indexed citations. Recurring topics across this work include HIV/AIDS Research and Interventions (8 papers), Global Maternal and Child Health (6 papers), HIV/AIDS Impact and Responses (4 papers), Adolescent Sexual and Reproductive Health (4 papers), Vaccine Coverage and Hesitancy (4 papers), Mobile Health and mHealth Applications (4 papers), Poverty, Education, and Child Welfare (3 papers) and ICT in Developing Communities (2 papers). The work is most often cited by research in Infectious Diseases (195 citations), General Health Professions (242 citations), Health (67 citations), Applied Microbiology and Biotechnology (14 citations) and Pediatrics, Perinatology and Child Health (122 citations). David Ojakaa has collaborated with scholars based in Kenya, Canada and United States. Frequent co-authors include Sarah Karanja, Mia L. van der Kop, Richard Lester, Anik R. Patel, Kirsten Smillie, Samuel Muhula, Peter Ofware, Michael Reece, Caroline Kingori and Enbal Shacham. Their work appears in journals such as AIDS Patient Care and STDs, Malaria Journal, International Journal of STD & AIDS, BMJ Open and Journal of Telemedicine and Telecare.

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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