H. Hirumi

75 total papers · 2.3k total citations
51 papers, 1.9k citations indexed

About

H. Hirumi is a scholar working on Epidemiology, Public Health, Environmental and Occupational Health and Molecular Biology. According to data from OpenAlex, H. Hirumi has authored 51 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Epidemiology, 20 papers in Public Health, Environmental and Occupational Health and 12 papers in Molecular Biology. Recurrent topics in H. Hirumi's work include Trypanosoma species research and implications (34 papers), Research on Leishmaniasis Studies (19 papers) and Vector-Borne Animal Diseases (7 papers). H. Hirumi is often cited by papers focused on Trypanosoma species research and implications (34 papers), Research on Leishmaniasis Studies (19 papers) and Vector-Borne Animal Diseases (7 papers). H. Hirumi collaborates with scholars based in Kenya, United States and Japan. H. Hirumi's co-authors include K. Hirumi, J.J. Doyle, Karl Maramorosch, George Cross, S.K. Moloo, Max Murray, John Doyle, G.M. Urquhart, D. J. Raski and R. Nelson and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and JNCI Journal of the National Cancer Institute.

In The Last Decade

H. Hirumi

49 papers receiving 1.8k citations

Hit Papers

Continuous Cultivation of... 1989 2026 2001 2013 1989 250 500 750

Author Peers

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

Author Last Decade Papers Cites
H. Hirumi 1.5k 1.0k 646 251 236 51 1.9k
K. Hirumi 1.3k 0.9× 920 0.9× 597 0.9× 230 0.9× 211 0.9× 28 1.6k
Lucy Glover 1.5k 1.0× 978 1.0× 928 1.4× 311 1.2× 144 0.6× 36 1.9k
Sam Alsford 1.7k 1.2× 1.1k 1.1× 978 1.5× 310 1.2× 161 0.7× 46 2.1k
John Enyaru 1.3k 0.9× 1.0k 1.0× 374 0.6× 308 1.2× 163 0.7× 55 1.9k
T. Baltz 1.1k 0.7× 787 0.8× 429 0.7× 158 0.6× 193 0.8× 23 1.3k
Juan Luís Concepción 1.2k 0.8× 839 0.8× 852 1.3× 95 0.4× 264 1.1× 76 1.8k
María Cristina M. Motta 1.1k 0.8× 710 0.7× 683 1.1× 533 2.1× 161 0.7× 94 1.8k
Luísa M. Figueiredo 1.3k 0.9× 980 1.0× 788 1.2× 271 1.1× 58 0.2× 47 2.0k
Enock Matovu 1.4k 0.9× 985 1.0× 376 0.6× 215 0.9× 183 0.8× 107 2.0k
Narcisa L. Cunha‐e‐Silva 1.1k 0.8× 652 0.6× 607 0.9× 260 1.0× 64 0.3× 63 1.6k

Countries citing papers authored by H. Hirumi

Since Specialization
Citations

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

Fields of papers citing papers by H. Hirumi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of H. Hirumi

This figure shows the co-authorship network connecting the top 25 collaborators of H. Hirumi. A scholar is included among the top collaborators of H. Hirumi 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 H. Hirumi. H. Hirumi 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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