Mitsumi Arito

60 total papers · 742 total citations
44 papers, 578 citations indexed

About

Mitsumi Arito is a scholar working on Molecular Biology, Rheumatology and Immunology. According to data from OpenAlex, Mitsumi Arito has authored 44 papers receiving a total of 578 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 9 papers in Rheumatology and 9 papers in Immunology. Recurrent topics in Mitsumi Arito's work include Systemic Lupus Erythematosus Research (6 papers), S100 Proteins and Annexins (5 papers) and Cell Adhesion Molecules Research (5 papers). Mitsumi Arito is often cited by papers focused on Systemic Lupus Erythematosus Research (6 papers), S100 Proteins and Annexins (5 papers) and Cell Adhesion Molecules Research (5 papers). Mitsumi Arito collaborates with scholars based in Japan and China. Mitsumi Arito's co-authors include Manae S. Kurokawa, Naoya Suematsu, K. Okamoto, Toshiyuki Sato, Jun Inoue, Ryuichiro Sato, Satoshi Hachimura, Kazuki Omoteyama, Tomohiro Kato and Kayo Masuko and has published in prestigious journals such as Journal of Biological Chemistry, Brain Research and Biochemical and Biophysical Research Communications.

In The Last Decade

Mitsumi Arito

41 papers receiving 575 citations

Author Peers

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

Author Last Decade Papers Cites
Mitsumi Arito 284 120 98 88 82 44 578
Alexander A. Kremzer 381 1.3× 115 1.0× 95 1.0× 106 1.2× 66 0.8× 45 624
Kosuke Matsuo 323 1.1× 151 1.3× 165 1.7× 79 0.9× 89 1.1× 27 632
Carole Ferraro‐Peyret 294 1.0× 117 1.0× 114 1.2× 85 1.0× 47 0.6× 28 666
Xueling Cui 379 1.3× 112 0.9× 66 0.7× 72 0.8× 48 0.6× 40 625
E. W. Parry 312 1.1× 83 0.7× 48 0.5× 124 1.4× 74 0.9× 48 620
Hongjun Zhao 310 1.1× 151 1.3× 79 0.8× 151 1.7× 32 0.4× 46 605
Lin Tang 270 1.0× 73 0.6× 82 0.8× 72 0.8× 81 1.0× 67 667
Yuichiro Takei 366 1.3× 86 0.7× 43 0.4× 68 0.8× 94 1.1× 29 693
Hongyan Wen 157 0.6× 109 0.9× 104 1.1× 61 0.7× 94 1.1× 45 516
Mahmoud Al‐Azab 270 1.0× 105 0.9× 40 0.4× 78 0.9× 71 0.9× 29 554

Countries citing papers authored by Mitsumi Arito

Since Specialization
Citations

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

Fields of papers citing papers by Mitsumi Arito

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mitsumi Arito

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