Satoshi Ikeda

35 total papers · 682 total citations
24 papers, 514 citations indexed

About

Satoshi Ikeda is a scholar working on Molecular Biology, Neurology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Satoshi Ikeda has authored 24 papers receiving a total of 514 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 6 papers in Neurology and 5 papers in Cellular and Molecular Neuroscience. Recurrent topics in Satoshi Ikeda's work include Stroke Rehabilitation and Recovery (4 papers), Neurological Disorders and Treatments (3 papers) and Nerve injury and regeneration (3 papers). Satoshi Ikeda is often cited by papers focused on Stroke Rehabilitation and Recovery (4 papers), Neurological Disorders and Treatments (3 papers) and Nerve injury and regeneration (3 papers). Satoshi Ikeda collaborates with scholars based in Japan, United States and China. Satoshi Ikeda's co-authors include R. Wayne Alexander, Masuko Ushio‐Fukai, Nikolay Patrushev, Minako Yamaoka‐Tojo, Taiki Tojo, Akira Yoshida, Kazumi Kawahira, Nobuyuki Tanaka, Akio Inui and Akihiro Asakawa and has published in prestigious journals such as Circulation, PLoS ONE and Brain Research.

In The Last Decade

Satoshi Ikeda

22 papers receiving 510 citations

Author Peers

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

Author Last Decade Papers Cites
Satoshi Ikeda 162 157 93 53 51 24 514
Zhijuan Cao 136 0.8× 81 0.5× 53 0.6× 140 2.6× 30 0.6× 17 478
Kai‐Feng Shen 198 1.2× 295 1.9× 55 0.6× 54 1.0× 20 0.4× 31 608
Delphine Stephan 172 1.1× 165 1.1× 53 0.6× 89 1.7× 9 0.2× 20 581
Judith Prado 202 1.2× 215 1.4× 82 0.9× 97 1.8× 21 0.4× 16 580
Aude Lafoux 303 1.9× 111 0.7× 28 0.3× 36 0.7× 32 0.6× 23 525
Ashleigh M. Philp 246 1.5× 166 1.1× 41 0.4× 26 0.5× 22 0.4× 14 573
Zhi Geng 136 0.8× 112 0.7× 27 0.3× 129 2.4× 34 0.7× 33 510
Elodie Gouadon 207 1.3× 72 0.5× 65 0.7× 120 2.3× 10 0.2× 18 613
Ying Lu 176 1.1× 254 1.6× 71 0.8× 73 1.4× 11 0.2× 30 520
Ryutaro Izumi 287 1.8× 172 1.1× 23 0.2× 50 0.9× 50 1.0× 14 510

Countries citing papers authored by Satoshi Ikeda

Since Specialization
Citations

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

Fields of papers citing papers by Satoshi Ikeda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Satoshi Ikeda

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