Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
Effect of Breastfeeding and Formula Feeding on Transmission of HIV-1
2000637 citationsRuth Nduati, Grace C. John et al.JAMAprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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Countries citing papers authored by Francis Onyango
Since
Specialization
Citations
This map shows the geographic impact of Francis Onyango'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 Francis Onyango with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Francis Onyango more than expected).
This network shows the impact of papers produced by Francis Onyango. 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 Francis Onyango. The network helps show where Francis Onyango may publish in the future.
Co-authorship network of co-authors of Francis Onyango
This figure shows the co-authorship network connecting the top 25 collaborators of Francis Onyango.
A scholar is included among the top collaborators of Francis Onyango 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 Francis Onyango. Francis Onyango is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Kariuki, C, et al.. (2018). Prevalence of sepsis among neonates admitted to Kisii Level 5 Hospital. East African Medical Journal. 95(1). 1139–1147.1 indexed citations
3.
Kogi‐Makau, Wambui, et al.. (2017). Leucine supplementation in the management of protein energy malnutrition: A review. East African Medical Journal. 94(1). 20–24.1 indexed citations
Onyango, Francis, et al.. (2014). ADHERENCE TO PNEUMONIA GUIDELINES FOR CHILDREN 2 - 59 MONTHS AT GARRISA PROVINCIAL GENERAL HOSPITAL.. PubMed. 91(1). 13–20.3 indexed citations
Nduati, Ruth, Grace C. John, Dorothy Mbori‐Ngacha, et al.. (2000). Effect of Breastfeeding and Formula Feeding on Transmission of HIV-1. JAMA. 283(9). 1167–1167.637 indexed citations breakdown →
Wafula, E M, et al.. (1998). X-ray diagnosable pneumonia in children with severe malnutrition at Kenyatta National Hospital.. PubMed. 75(10). 567–71.3 indexed citations
Mbori‐Ngacha, Dorothy, Juliana A. Otieno, E.K. Njeru, & Francis Onyango. (1995). Prevalence of persistent diarrhoea in children aged 3-36 months at the Kenyatta National Hospital, Nairobi, Kenya.. PubMed. 72(11). 711–4.16 indexed citations
Mirza, Nazrat, William Macharia, E M Wafula, R. Agwanda, & Francis Onyango. (1990). Mortality patterns in a rural Kenyan community.. PubMed. 67(11). 823–9.13 indexed citations
18.
Mirza, Nazrat, William Macharia, E M Wafula, R. Agwanda, & Francis Onyango. (1990). Verbal autopsy: a tool for determining cause of death in a community.. PubMed. 67(10). 693–8.33 indexed citations
Perkins, Bradley A., Michael Reeves, Robert W. Pinner, et al.. (1989). Epidemic meningococcal disease in Nairobi, Kenya - 1989. J Infect Dis 1992;166:359-364.1 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.