Michael Gichangi

54 total papers · 2.4k total citations
30 papers, 541 citations indexed

About

Michael Gichangi is a scholar working on Epidemiology, Pediatrics, Perinatology and Child Health and Ophthalmology. According to data from OpenAlex, Michael Gichangi has authored 30 papers receiving a total of 541 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Epidemiology, 13 papers in Pediatrics, Perinatology and Child Health and 12 papers in Ophthalmology. Recurrent topics in Michael Gichangi's work include Global Maternal and Child Health (12 papers), Ophthalmology and Visual Impairment Studies (9 papers) and Retinal Imaging and Analysis (8 papers). Michael Gichangi is often cited by papers focused on Global Maternal and Child Health (12 papers), Ophthalmology and Visual Impairment Studies (9 papers) and Retinal Imaging and Analysis (8 papers). Michael Gichangi collaborates with scholars based in Kenya, United Kingdom and Tanzania. Michael Gichangi's co-authors include Matthew J. Burton, Lottie Brown, David W. Denning, Astrid Leck, Paul Courtright, Khumbo Kalua, Susan Lewallen, Hillary Rono, J Karimurio and Andrew Bastawrous and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Lancet Infectious Diseases and International Journal of Environmental Research and Public Health.

In The Last Decade

Michael Gichangi

27 papers receiving 526 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Michael Gichangi 275 154 138 110 81 30 541
Larry Schwab 258 0.9× 55 0.4× 161 1.2× 130 1.2× 51 0.6× 37 537
Aeesha NJ Malik 122 0.4× 105 0.7× 165 1.2× 82 0.7× 50 0.6× 29 460
Travis K. Redd 250 0.9× 78 0.5× 68 0.5× 300 2.7× 96 1.2× 41 593
Grace Hui‐Min Wu 92 0.3× 40 0.3× 236 1.7× 129 1.2× 11 0.1× 21 540
Abdul Rauf 58 0.2× 31 0.2× 109 0.8× 70 0.6× 133 1.6× 30 585
Abdou Amza 52 0.2× 121 0.8× 170 1.2× 15 0.1× 98 1.2× 50 525
G T Stewart 33 0.1× 56 0.4× 160 1.2× 32 0.3× 26 0.3× 35 538
Yasín A. Khan 164 0.6× 93 0.6× 33 0.2× 156 1.4× 8 0.1× 24 473
Robert McDonald 28 0.1× 115 0.7× 160 1.2× 18 0.2× 52 0.6× 43 474
Arun Kumar Sharma 23 0.1× 37 0.2× 166 1.2× 20 0.2× 70 0.9× 47 560

Countries citing papers authored by Michael Gichangi

Since Specialization
Citations

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

Fields of papers citing papers by Michael Gichangi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Gichangi

This figure shows the co-authorship network connecting the top 25 collaborators of Michael Gichangi. A scholar is included among the top collaborators of Michael Gichangi 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 Michael Gichangi. Michael Gichangi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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