Kenneth Ekoru
Impact in
- Virology top 10%
- HIV Research and Treatment
- Infectious Diseases top 10%
- HIV/AIDS Research and Interventions
- HIV/AIDS drug development and treatment
Papers in
- Genetics 9
- Genetic Associations and Epidemiology 8
-
- Epigenetics and DNA Methylation 2
- Co-authors
- Charles Karamagi (2 shared papers)Joan N. Kalyango (2 shared papers)Jim Todd (1 shared paper)Andrew Abaasa (1 shared paper)Jonathan Levin (1 shared paper)Manjinder S. Sandhu (3 shared papers)Anatoli Kamali (3 shared papers)Rebecca N. Nsubuga (2 shared papers)
- Journals
- Diabetes Care (2 papers)International Journal of Epidemiology (2 papers)Proceedings of the National Academy of Sciences (1 paper)Scientific Reports (1 paper)BMC Health Services Research (1 paper)
- Partner nations
- United StatesUgandaUnited Kingdom
In The Last Decade
Kenneth Ekoru
17 papers receiving 358 citations
Peers
Comparison fields: 5 of 92
- Virology 47
- Infectious Diseases 118
- Emergency Medicine 38
- Endocrinology, Diabetes and Metabolism 60
- Genetics 93
Countries citing papers authored by Kenneth Ekoru
This map shows the geographic impact of Kenneth Ekoru'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 Kenneth Ekoru with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kenneth Ekoru more than expected).
Fields of papers citing papers by Kenneth Ekoru
This network shows the impact of papers produced by Kenneth Ekoru. 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 Kenneth Ekoru. The network helps show where Kenneth Ekoru may publish in the future.
Co-authors
The 25 scholars most cited alongside Kenneth Ekoru, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 95 | |
| 2 | 2013 | 48 | |
| 3 | 2016 | 47 | |
| 4 | 2022 | 37 | |
| 5 | 2021 | 35 | |
| 6 | 2011 | 23 | |
| 7 | 2022 | 13 | |
| 8 | 2016 | 12 | |
| 9 | 2021 | 10 | |
| 10 | 2019 | 10 | |
| 11 | 2021 | 9 | |
| 12 | 2017 | 8 | |
| 13 | 2021 | 7 | |
| 14 | 2021 | 6 | |
| 15 | 2021 | 5 | |
| 16 | 2013 | 4 | |
| 17 | 2020 | 1 |
About Kenneth Ekoru
Kenneth Ekoru is a scholar working on Genetics, Molecular Biology, Pediatrics, Perinatology and Child Health, Endocrinology, Diabetes and Metabolism and Infectious Diseases, having authored 17 papers that have together received 370 indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (8 papers), HIV Research and Treatment (3 papers), HIV/AIDS Research and Interventions (3 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (2 papers), Epigenetics and DNA Methylation (2 papers), Birth, Development, and Health (2 papers), Liver Disease Diagnosis and Treatment (2 papers) and Neonatal Health and Biochemistry (2 papers). The work is most often cited by research in Virology (47 citations), Infectious Diseases (118 citations), Emergency Medicine (38 citations), Endocrinology, Diabetes and Metabolism (60 citations) and Genetics (93 citations). Kenneth Ekoru has collaborated with scholars based in United States, Uganda and United Kingdom. Frequent co-authors include Charles Karamagi, Joan N. Kalyango, Jim Todd, Andrew Abaasa, Jonathan Levin, Manjinder S. Sandhu, Anatoli Kamali, Rebecca N. Nsubuga, Ayesha A. Motala and Jean Claude Mbanya. Their work appears in journals such as Diabetes Care, International Journal of Epidemiology, Proceedings of the National Academy of Sciences, Scientific Reports and BMC Health Services Research.
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.