Kenneth Ekoru

3.1k total citations
17 papers, 370 citations indexed

About

Kenneth Ekoru is a scholar working on Genetics, Molecular Biology and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, Kenneth Ekoru has authored 17 papers receiving a total of 370 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Genetics, 5 papers in Molecular Biology and 4 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in Kenneth Ekoru's work include Genetic Associations and Epidemiology (8 papers), HIV Research and Treatment (3 papers) and HIV/AIDS Research and Interventions (3 papers). Kenneth Ekoru is often cited by papers focused on Genetic Associations and Epidemiology (8 papers), HIV Research and Treatment (3 papers) and HIV/AIDS Research and Interventions (3 papers). Kenneth Ekoru collaborates with scholars based in United States, Uganda and United Kingdom. Kenneth Ekoru's co-authors include Charles Karamagi, Joan N. Kalyango, Jim Todd, Jonathan Levin, Andrew Abaasa, Anatoli Kamali, Rebecca N. Nsubuga, Manjinder S. Sandhu, Ayesha A. Motala and Kaushik Ramaiya and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and Diabetes Care.

In The Last Decade

Kenneth Ekoru

17 papers receiving 358 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Kenneth Ekoru United States 10 118 93 76 60 50 17 370
Elizabeth Farrell Australia 10 76 0.6× 50 0.5× 65 0.9× 92 1.5× 43 0.9× 25 421
Solomon Christopher India 11 33 0.3× 45 0.5× 73 1.0× 74 1.2× 76 1.5× 21 340
Antonio Mǔr Spain 13 113 1.0× 45 0.5× 95 1.3× 23 0.4× 34 0.7× 48 451
J. Elford United Kingdom 7 63 0.5× 25 0.3× 106 1.4× 108 1.8× 32 0.6× 13 301
Srinivas Govindarajulu India 9 158 1.3× 13 0.1× 74 1.0× 18 0.3× 25 0.5× 35 303
Ali Al‐kassab‐Córdova Peru 9 91 0.8× 12 0.1× 65 0.9× 40 0.7× 42 0.8× 46 317
Pattara Sanchaisuriya Thailand 15 81 0.7× 18 0.2× 76 1.0× 34 0.6× 17 0.3× 50 639
Anna Christen Switzerland 9 196 1.7× 11 0.1× 147 1.9× 34 0.6× 23 0.5× 10 435
Jonathan Uy United States 10 280 2.4× 19 0.2× 60 0.8× 25 0.4× 42 0.8× 24 532
Saria Hassan United States 12 58 0.5× 8 0.1× 87 1.1× 54 0.9× 17 0.3× 41 293

Countries citing papers authored by Kenneth Ekoru

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Kenneth Ekoru

This figure shows the co-authorship network connecting the top 25 collaborators of Kenneth Ekoru. A scholar is included among the top collaborators of Kenneth Ekoru based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Kenneth Ekoru. Kenneth Ekoru is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

17 of 17 papers shown
1.
Chikowore, Tinashe, Kenneth Ekoru, Dipender Gill, et al.. (2022). Polygenic Prediction of Type 2 Diabetes in Africa. Diabetes Care. 45(3). 717–723. 13 indexed citations
2.
Motala, Ayesha A., Jean Claude Mbanya, Kaushik Ramaiya, Fraser Pirie, & Kenneth Ekoru. (2022). Type 2 diabetes mellitus in sub-Saharan Africa: challenges and opportunities. Nature Reviews Endocrinology. 18(4). 219–229. 37 indexed citations
3.
Ekoru, Kenneth, Adebowale Adeyemo, Guanjie Chen, et al.. (2021). Genetic risk scores for cardiometabolic traits in sub-Saharan African populations. International Journal of Epidemiology. 50(4). 1283–1296. 9 indexed citations
4.
Bentley, Amy R., Guanjie Chen, Ayo P. Doumatey, et al.. (2021). GWAS in Africans identifies novel lipids loci and demonstrates heterogenous association within Africa. Human Molecular Genetics. 30(22). 2205–2214. 7 indexed citations
5.
Chen, Guanjie, Adebowale Adeyemo, Jie Zhou, et al.. (2021). A UGT1A1 variant is associated with serum total bilirubin levels, which are causal for hypertension in African-ancestry individuals. npj Genomic Medicine. 6(1). 44–44. 5 indexed citations
6.
Gouveia, Mateus H., Amy R. Bentley, Hampton L. Leonard, et al.. (2021). Trans-ethnic meta-analysis identifies new loci associated with longitudinal blood pressure traits. Scientific Reports. 11(1). 4075–4075. 10 indexed citations
7.
Liu, Chang, Moning Guo, Xin Zhong, et al.. (2021). Incidence of Type 1 Diabetes May Be Underestimated in the Chinese Population: Evidence From 21.7 Million People Between 2007 and 2017. Diabetes Care. 44(11). 2503–2509. 35 indexed citations
8.
Doumatey, Ayo P., et al.. (2021). Serum fructosamine and glycemic status in the presence of the sickle cell mutation. Diabetes Research and Clinical Practice. 177. 108918–108918. 6 indexed citations
9.
Shriner, Daniel, Amy R. Bentley, Kenneth Ekoru, et al.. (2020). Time-to-event modeling of hypertension reveals the nonexistence of true controls. eLife. 9. 1 indexed citations
10.
Doumatey, Ayo P., Kenneth Ekoru, Adebowale Adeyemo, & Charles N. Rotimi. (2019). Genetic Basis of Obesity and Type 2 Diabetes in Africans: Impact on Precision Medicine. Current Diabetes Reports. 19(10). 105–105. 10 indexed citations
11.
Sallah, Neneh, Tommy Carstensen, Katie Wakeham, et al.. (2017). Whole-genome association study of antibody response to Epstein-Barr virus in an African population: a pilot. PubMed. 2. e18–e18. 8 indexed citations
12.
Ekoru, Kenneth, Clement Adebamowo, N.M. Baldé, et al.. (2016). H3Africa multi-centre study of the prevalence and environmental and genetic determinants of type 2 diabetes in sub-Saharan Africa: study protocol. PubMed. 1. e5–e5. 12 indexed citations
13.
Heckerman, David, Deepti Gurdasani, Carl Kadie, et al.. (2016). Linear mixed model for heritability estimation that explicitly addresses environmental variation. Proceedings of the National Academy of Sciences. 113(27). 7377–7382. 47 indexed citations
14.
Murphy, Georgina, Gershim Asiki, Kenneth Ekoru, et al.. (2013). Sociodemographic distribution of non-communicable disease risk factors in rural Uganda: a cross-sectional study. International Journal of Epidemiology. 42(6). 1740–1753. 48 indexed citations
15.
16.
Ssali, Francis, Charles Karamagi, Joan N. Kalyango, et al.. (2011). Validation of World Health Organisation HIV/AIDS Clinical Staging in Predicting Initiation of Antiretroviral Therapy and Clinical Predictors of Low CD4 Cell Count in Uganda. PLoS ONE. 6(5). e19089–e19089. 23 indexed citations
17.
Abaasa, Andrew, Jim Todd, Kenneth Ekoru, et al.. (2008). Good adherence to HAART and improved survival in a community HIV/AIDS treatment and care programme: the experience of The AIDS Support Organization (TASO), Kampala, Uganda. BMC Health Services Research. 8(1). 241–241. 95 indexed citations

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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