Reijiro Arakawa

16 total papers · 778 total citations
11 papers, 683 citations indexed

About

Reijiro Arakawa is a scholar working on Surgery, Molecular Biology and Oncology. According to data from OpenAlex, Reijiro Arakawa has authored 11 papers receiving a total of 683 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Surgery, 9 papers in Molecular Biology and 7 papers in Oncology. Recurrent topics in Reijiro Arakawa's work include Cholesterol and Lipid Metabolism (9 papers), Drug Transport and Resistance Mechanisms (7 papers) and Peroxisome Proliferator-Activated Receptors (7 papers). Reijiro Arakawa is often cited by papers focused on Cholesterol and Lipid Metabolism (9 papers), Drug Transport and Resistance Mechanisms (7 papers) and Peroxisome Proliferator-Activated Receptors (7 papers). Reijiro Arakawa collaborates with scholars based in Japan and United States. Reijiro Arakawa's co-authors include Shinji Yokoyama, Sumiko Abe-Dohmae, Noriyuki Iwamoto, Kazumitsu Ueda, Rui Lu, Tomoko Nishimaki‐Mogami, Norimasa Tamehiro, Jin‐ichi Ito, Michi Hayashi and Bryan Brewer and has published in prestigious journals such as Journal of Biological Chemistry, Biochemical and Biophysical Research Communications and Arteriosclerosis Thrombosis and Vascular Biology.

In The Last Decade

Reijiro Arakawa

11 papers receiving 676 citations

Author Peers

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

Author Last Decade Papers Cites
Reijiro Arakawa 574 416 356 99 98 11 683
Bassam Haidar 451 0.8× 317 0.8× 221 0.6× 79 0.8× 96 1.0× 11 643
Isabelle Arnould 360 0.6× 331 0.8× 352 1.0× 48 0.5× 41 0.4× 11 652
Yuika Ikeda 407 0.7× 365 0.9× 327 0.9× 95 1.0× 58 0.6× 14 667
Michi Hayashi 432 0.8× 341 0.8× 281 0.8× 92 0.9× 54 0.6× 7 564
Verónica Quiñones 393 0.7× 324 0.8× 243 0.7× 44 0.4× 55 0.6× 18 709
Baukje M. Elzinga 371 0.6× 318 0.8× 231 0.6× 92 0.9× 92 0.9× 11 670
Hansook Kim Chong 212 0.4× 325 0.8× 155 0.4× 59 0.6× 139 1.4× 11 666
Stephen T. Mosley 217 0.4× 444 1.1× 139 0.4× 53 0.5× 97 1.0× 14 743
Seth M. Klein 456 0.8× 355 0.9× 174 0.5× 42 0.4× 132 1.3× 7 685
Oneil Lee 429 0.7× 351 0.8× 86 0.2× 181 1.8× 163 1.7× 9 675

Countries citing papers authored by Reijiro Arakawa

Since Specialization
Citations

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

Fields of papers citing papers by Reijiro Arakawa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Reijiro Arakawa

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