Tetsuo Komori

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 Neurogenetic and Muscular Disorders Research (9 papers). Tetsuo Komori is often cited by papers focused on Amyotrophic Lateral Sclerosis Research (12 papers), Transcranial Magnetic Stimulation Studies (9 papers) and Neurogenetic and Muscular Disorders Research (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, Paolo Maria Rossini, Masaru Satô, 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

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Tetsuo Komori Japan 20 586 474 301 267 247 49 1.3k
Toshio Shimizu Japan 22 1.1k 1.8× 546 1.2× 245 0.8× 288 1.1× 477 1.9× 90 1.8k
Hiroshi Tokimura Japan 21 551 0.9× 748 1.6× 555 1.8× 217 0.8× 228 0.9× 74 1.9k
Vittorio Frasca Italy 23 466 0.8× 687 1.4× 413 1.4× 221 0.8× 158 0.6× 49 1.5k
Véronique Marchand‐Pauvert France 27 626 1.1× 723 1.5× 679 2.3× 273 1.0× 202 0.8× 70 1.9k
Olivier Detante France 20 965 1.6× 328 0.7× 163 0.5× 590 2.2× 356 1.4× 63 2.0k
James Howells Australia 24 1.1k 1.9× 648 1.4× 193 0.6× 537 2.0× 461 1.9× 84 1.8k
Masahiro Sonoo Japan 26 1.0k 1.8× 312 0.7× 340 1.1× 593 2.2× 325 1.3× 158 2.3k
Sergio Canavero Italy 25 714 1.2× 405 0.9× 402 1.3× 330 1.2× 112 0.5× 88 1.9k
Raffaele Dubbioso Italy 20 529 0.9× 420 0.9× 240 0.8× 241 0.9× 68 0.3× 81 1.2k
C Messina Italy 24 648 1.1× 412 0.9× 231 0.8× 394 1.5× 45 0.2× 89 2.0k

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

20 of 20 papers shown
1.
Ogata, Katsuhisa, Yoko Mochizuki, Toshio Saito, et al.. (2022). Perspective on transition from pediatric to adult health care for patients with neurological disease: current situation and issues. Rinsho Shinkeigaku. 62(4). 261–266. 6 indexed citations
2.
Matsumura, Tsuyoshi, Toshio Saito, Masahide Mori, et al.. (2021). Infection control in the respiratory care of coronavirus disease‐19 patients with neuromuscular diseases. Neurology and Clinical Neuroscience. 9(2). 159–165. 2 indexed citations
3.
Takano, Kouji, et al.. (2018). Operation of a P300-based brain-computer interface in patients with Duchenne muscular dystrophy. Scientific Reports. 8(1). 1753–1753. 11 indexed citations
4.
Kimura, Kôichi, Hiroyuki Morita, Masao Daimon, et al.. (2016). Utility of Cystatin C for Estimating Glomerular Filtration Rate in Patients With Muscular Dystrophy. International Heart Journal. 57(3). 386–388. 23 indexed citations
5.
Hachisuka, Akiko, Tetsuo Komori, Tatsuya Abe, & Kenji Hachisuka. (2014). Repeater F‐waves are signs of motor unit pathology in polio survivors. Muscle & Nerve. 51(5). 680–685. 17 indexed citations
6.
Mitsuma, Satsuki, Peter Van den Bergh, Yusuf A. Rajabally, et al.. (2014). Effects of low frequency filtering on distal compound muscle action potential duration for diagnosis of CIDP: A Japanese–European multicenter prospective study. Clinical Neurophysiology. 126(9). 1805–1810. 21 indexed citations
7.
Komatsu, Teppei, et al.. (2013). Pseudomyopathic Changes in Needle Electromyography in Lambert-Eaton Myasthenic Syndrome. SHILAP Revista de lepidopterología. 2013. 1–2. 6 indexed citations
8.
Shimizu, Toshio, Utako Nagaoka, Yuki Nakayama, et al.. (2012). Reduction rate of body mass index predicts prognosis for survival in amyotrophic lateral sclerosis: A multicenter study in Japan. Amyotrophic Lateral Sclerosis. 13(4). 363–366. 85 indexed citations
9.
Kokubun, Norito, Masahiro Sonoo, Tomihiro Imai, et al.. (2011). Reference values for voluntary and stimulated single-fibre EMG using concentric needle electrodes: A multicentre prospective study. Clinical Neurophysiology. 123(3). 613–620. 33 indexed citations
10.
Ito, Yasuo, et al.. (2010). Anti-NMDA receptor encephalitis during pregnancy. Rinsho Shinkeigaku. 50(2). 103–107. 25 indexed citations
11.
Shimizu, Toshio, et al.. (2009). Electrophysiological assessment of corticorespiratory pathway function in amyotrophic lateral sclerosis. Amyotrophic Lateral Sclerosis. 11(1-2). 1–6. 13 indexed citations
12.
Sonoo, Masahiro, Satoshi Kuwabara, Toshio Shimizu, et al.. (2008). Utility of trapezius EMG for diagnosis of amyotrophic lateral sclerosis. Muscle & Nerve. 39(1). 63–70. 48 indexed citations
13.
Shimizu, Toshio, Taro Hino, Masaru Satô, et al.. (2002). Motor cortical disinhibition in the unaffected hemisphere after unilateral cortical stroke. Brain. 125(8). 1896–1907. 398 indexed citations
14.
Shimizu, Toshio, Tetsuo Komori, Shuichi Kato, et al.. (2001). Masseter inhibitory reflex in amyotrophic lateral sclerosis. Amyotrophic Lateral Sclerosis and Other Motor Neuron Disorders. 2(4). 189–195. 3 indexed citations
15.
Yamanaka, Gaku, Kanako Goto, Tsuyoshi Matsumura, et al.. (2001). Tongue atrophy in facioscapulohumeral muscular dystrophy. Neurology. 57(4). 733–735. 33 indexed citations
16.
Shimizu, Toshio, Tadashi Nariai, Taketoshi Maehara, et al.. (2000). Enhanced motor cortical excitability in the unaffected hemisphere after hemispherectomy. Neuroreport. 11(14). 3077–3084. 29 indexed citations
17.
Ishizawa, Kimiharu, Tetsuo Komori, Xiang Qin, et al.. (1999). Large motor neuron involvement in Stiff-man syndrome: a qualitative and quantitative study. Acta Neuropathologica. 97(1). 63–70. 24 indexed citations
19.
Doherty, Timothy J., et al.. (1994). Physiological properties of single thenar motor units in the F‐response of younger and older adults. Muscle & Nerve. 17(8). 860–872. 39 indexed citations
20.
Hirashima, F., et al.. (1994). Increased central motor tract excitability in Creutzfeldt-Jakob disease. Journal of the Neurological Sciences. 123(1-2). 33–37. 3 indexed citations

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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