Phillip Kasirye

71 total papers · 736 total citations
39 papers, 433 citations indexed

About

Phillip Kasirye is a scholar working on Hematology, Genetics and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, Phillip Kasirye has authored 39 papers receiving a total of 433 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Hematology, 26 papers in Genetics and 8 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in Phillip Kasirye's work include Hemoglobinopathies and Related Disorders (25 papers), Iron Metabolism and Disorders (22 papers) and Prenatal Screening and Diagnostics (5 papers). Phillip Kasirye is often cited by papers focused on Hemoglobinopathies and Related Disorders (25 papers), Iron Metabolism and Disorders (22 papers) and Prenatal Screening and Diagnostics (5 papers). Phillip Kasirye collaborates with scholars based in Uganda, United States and Canada. Phillip Kasirye's co-authors include Robert O. Opoka, Heather Hume, Chandy C. John, Russell E. Ware, Christopher M. Ndugwa, Teresa Latham, Adam Lane, James S. Hodges, Adeodata Kekitiinwa and Victor Musiime and has published in prestigious journals such as New England Journal of Medicine, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.

In The Last Decade

Phillip Kasirye

30 papers receiving 427 citations

Author Peers

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

Author Last Decade Papers Cites
Phillip Kasirye 255 237 131 111 60 39 433
Aisha Indo Mamman 227 0.9× 179 0.8× 42 0.3× 79 0.7× 58 1.0× 47 409
N O Akinola 275 1.1× 240 1.0× 42 0.3× 40 0.4× 31 0.5× 22 403
Denise Menezes Brunetta 156 0.6× 169 0.7× 40 0.3× 89 0.8× 46 0.8× 35 377
Dora Mbanya 97 0.4× 99 0.4× 38 0.3× 158 1.4× 69 1.1× 35 376
Simone Martins de Castro 198 0.8× 184 0.8× 110 0.8× 67 0.6× 32 0.5× 42 459
Mamta Manglani 110 0.4× 116 0.5× 54 0.4× 162 1.5× 135 2.3× 52 465
Stanislas Okitotsho Wembonyama 207 0.8× 201 0.8× 133 1.0× 37 0.3× 39 0.7× 37 397
Dante Mário Langhi 125 0.5× 218 0.9× 24 0.2× 65 0.6× 62 1.0× 51 458
P Isarangkura 82 0.3× 262 1.1× 36 0.3× 73 0.7× 38 0.6× 59 491
C G Lopez 57 0.2× 79 0.3× 36 0.3× 37 0.3× 117 1.9× 24 423

Countries citing papers authored by Phillip Kasirye

Since Specialization
Citations

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

Fields of papers citing papers by Phillip Kasirye

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Phillip Kasirye

This figure shows the co-authorship network connecting the top 25 collaborators of Phillip Kasirye. A scholar is included among the top collaborators of Phillip Kasirye 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 Phillip Kasirye. Phillip Kasirye 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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2026