Takeshi Satow

71 total papers · 1.6k total citations
55 papers, 1.2k citations indexed

About

Takeshi Satow is a scholar working on Neurology, Cognitive Neuroscience and Cellular and Molecular Neuroscience. According to data from OpenAlex, Takeshi Satow has authored 55 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Neurology, 16 papers in Cognitive Neuroscience and 15 papers in Cellular and Molecular Neuroscience. Recurrent topics in Takeshi Satow's work include Transcranial Magnetic Stimulation Studies (12 papers), Intracranial Aneurysms: Treatment and Complications (9 papers) and Cerebrospinal fluid and hydrocephalus (9 papers). Takeshi Satow is often cited by papers focused on Transcranial Magnetic Stimulation Studies (12 papers), Intracranial Aneurysms: Treatment and Complications (9 papers) and Cerebrospinal fluid and hydrocephalus (9 papers). Takeshi Satow collaborates with scholars based in Japan, United States and United Kingdom. Takeshi Satow's co-authors include Hiroshi Shibasaki, Susumu Miyamoto, Akio Ikeda, Nobuo Hashimoto, Junichi Yamamoto, Takashi Nagamine, Masao Matsuhashi, Tatsuya Mima, Tatsuhide Oga and Nobuhiro Mikuni and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Brain.

In The Last Decade

Takeshi Satow

47 papers receiving 1.2k citations

Author Peers

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

Author Last Decade Papers Cites
Takeshi Satow 561 333 323 295 226 55 1.2k
Alessandra Del Felice 619 1.1× 299 0.9× 263 0.8× 213 0.7× 369 1.6× 86 1.4k
René Gobbelé 1.0k 1.9× 357 1.1× 144 0.4× 296 1.0× 129 0.6× 45 1.4k
Yoshino Ueki 413 0.7× 532 1.6× 536 1.7× 238 0.8× 108 0.5× 78 1.3k
Carmen Terranova 257 0.5× 536 1.6× 687 2.1× 329 1.1× 131 0.6× 42 1.2k
Bernhard Voller 324 0.6× 603 1.8× 683 2.1× 234 0.8× 134 0.6× 36 1.4k
Lucia M. Li 538 1.0× 542 1.6× 332 1.0× 135 0.5× 78 0.3× 49 1.2k
Juan Francisco Martin‐Rodríguez 407 0.7× 159 0.5× 361 1.1× 153 0.5× 137 0.6× 49 1.3k
Philipp Stude 526 0.9× 295 0.9× 176 0.5× 130 0.4× 393 1.7× 41 1.3k
Shigeaki Matsuoka 485 0.9× 200 0.6× 293 0.9× 187 0.6× 87 0.4× 73 1.2k
Saçit Karamürsel 482 0.9× 237 0.7× 141 0.4× 171 0.6× 159 0.7× 54 1.1k

Countries citing papers authored by Takeshi Satow

Since Specialization
Citations

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

Fields of papers citing papers by Takeshi Satow

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Takeshi Satow

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