Tetsuo Komori

102 total papers · 2.2k total citations
49 papers, 1.3k citations indexed

About

Tetsuo Komori is a scholar working on Neurology, Cellular and Molecular Neuroscience and Neurology. According to data from OpenAlex, Tetsuo Komori has authored 49 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Neurology, 18 papers in Cellular and Molecular Neuroscience and 10 papers in Neurology. Recurrent topics in Tetsuo Komori's work include Amyotrophic Lateral Sclerosis Research (12 papers), Transcranial Magnetic Stimulation Studies (9 papers) and Genetic Neurodegenerative Diseases (9 papers). Tetsuo Komori is often cited by papers focused on Amyotrophic Lateral Sclerosis Research (12 papers), Transcranial Magnetic Stimulation Studies (9 papers) and Genetic Neurodegenerative Diseases (9 papers). Tetsuo Komori collaborates with scholars based in Japan, United States and Canada. Tetsuo Komori's co-authors include Toshio Shimizu, Shunsaku Hirai, Taro Hino, Masaru Satô, Paolo Maria Rossini, William F. Brown, Masahiro Sonoo, Satoshi Kuwabara, Yuki Hatanaka and Sonoko Misawa and has published in prestigious journals such as SHILAP Revista de lepidopterología, Brain and Neurology.

In The Last Decade

Tetsuo Komori

47 papers receiving 1.3k citations

Author Peers

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

Author Last Decade Papers Cites
Tetsuo Komori 580 471 300 265 245 49 1.3k
Toshio Shimizu 1.1k 1.8× 543 1.2× 244 0.8× 287 1.1× 476 1.9× 90 1.8k
Siobhán Hutchinson 843 1.5× 493 1.0× 618 2.1× 290 1.1× 126 0.5× 40 1.7k
Vittorio Frasca 465 0.8× 685 1.5× 414 1.4× 222 0.8× 156 0.6× 49 1.5k
James Howells 1.1k 1.9× 636 1.4× 193 0.6× 536 2.0× 459 1.9× 83 1.8k
William Huynh 890 1.5× 318 0.7× 84 0.3× 224 0.8× 384 1.6× 64 1.4k
Lynette Kiers 420 0.7× 506 1.1× 308 1.0× 147 0.6× 52 0.2× 42 1.5k
Andrew W. Grande 415 0.7× 280 0.6× 140 0.5× 274 1.0× 183 0.7× 89 1.6k
Mehdi van den Bos 717 1.2× 448 1.0× 107 0.4× 194 0.7× 300 1.2× 40 1.1k
S. Miller 211 0.4× 484 1.0× 273 0.9× 72 0.3× 109 0.4× 40 1.4k
Raffaele Dubbioso 525 0.9× 417 0.9× 238 0.8× 238 0.9× 68 0.3× 81 1.2k

Countries citing papers authored by Tetsuo Komori

Since Specialization
Citations

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

Fields of papers citing papers by Tetsuo Komori

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tetsuo Komori

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