Mutsumi Inaba

94 total papers · 1.2k total citations
71 papers, 966 citations indexed

About

Mutsumi Inaba is a scholar working on Physiology, Molecular Biology and Surgery. According to data from OpenAlex, Mutsumi Inaba has authored 71 papers receiving a total of 966 indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Physiology, 28 papers in Molecular Biology and 15 papers in Surgery. Recurrent topics in Mutsumi Inaba's work include Erythrocyte Function and Pathophysiology (29 papers), Pancreatic function and diabetes (14 papers) and Blood properties and coagulation (9 papers). Mutsumi Inaba is often cited by papers focused on Erythrocyte Function and Pathophysiology (29 papers), Pancreatic function and diabetes (14 papers) and Blood properties and coagulation (9 papers). Mutsumi Inaba collaborates with scholars based in Japan, United States and Thailand. Mutsumi Inaba's co-authors include Yoshimitsu Maede, Kota Sato, Kenichiro Ono, Mitsuyoshi Takiguchi, Kensuke Takada, EJ Jr Benz, M. Kuwabara, Naoaki Matsuki, Akio Kanzaki and Sumie Manno and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Clinical Investigation and Blood.

In The Last Decade

Mutsumi Inaba

70 papers receiving 936 citations

Author Peers

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

Author Last Decade Papers Cites
Mutsumi Inaba 429 381 136 124 123 71 966
Odile Bournier 574 1.3× 277 0.7× 345 2.5× 95 0.8× 114 0.9× 39 844
Fumiya Uchino 336 0.8× 544 1.4× 61 0.4× 125 1.0× 108 0.9× 74 951
María Isidoro‐García 343 0.8× 307 0.8× 177 1.3× 74 0.6× 86 0.7× 90 1.0k
Spicer Ss 294 0.7× 456 1.2× 130 1.0× 104 0.8× 77 0.6× 49 1.2k
Johan Sällström 169 0.4× 431 1.1× 106 0.8× 203 1.6× 71 0.6× 52 1.2k
Gail Coghlan 296 0.7× 314 0.8× 48 0.4× 129 1.0× 157 1.3× 60 893
Efrat Eliyahu 512 1.2× 436 1.1× 41 0.3× 54 0.4× 91 0.7× 36 1.2k
Sandra E. Reznik 133 0.3× 396 1.0× 121 0.9× 100 0.8× 77 0.6× 75 1.2k
Ann Rearden 215 0.5× 439 1.2× 52 0.4× 76 0.6× 109 0.9× 47 1.1k
Batia Kaplan 245 0.6× 662 1.7× 39 0.3× 76 0.6× 114 0.9× 66 1.2k

Countries citing papers authored by Mutsumi Inaba

Since Specialization
Citations

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

Fields of papers citing papers by Mutsumi Inaba

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mutsumi Inaba

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