Tomoko Okano

497 total citations
18 papers, 352 citations indexed

About

Tomoko Okano is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology and Cognitive Neuroscience. According to data from OpenAlex, Tomoko Okano has authored 18 papers receiving a total of 352 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Cardiology and Cardiovascular Medicine, 3 papers in Molecular Biology and 3 papers in Cognitive Neuroscience. Recurrent topics in Tomoko Okano's work include Electromagnetic Fields and Biological Effects (2 papers), Muscle Physiology and Disorders (2 papers) and Transcranial Magnetic Stimulation Studies (2 papers). Tomoko Okano is often cited by papers focused on Electromagnetic Fields and Biological Effects (2 papers), Muscle Physiology and Disorders (2 papers) and Transcranial Magnetic Stimulation Studies (2 papers). Tomoko Okano collaborates with scholars based in Japan, Germany and Vietnam. Tomoko Okano's co-authors include Yoshikazu Ugawa, Yasuo Terao, Toshiaki Furubayashi, Ritsuko Hanajima, Akihiro Yugeta, Yutaka Yatomi, Katsu Takenaka, Hideyuki Matsumoto, Kôichi Kimura and Ryozo Nagai and has published in prestigious journals such as PLoS ONE, Biochemical and Biophysical Research Communications and Clinical Neurophysiology.

In The Last Decade

Tomoko Okano

16 papers receiving 349 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tomoko Okano Japan 11 104 83 51 50 47 18 352
Meghan Mott United States 9 45 0.4× 43 0.5× 22 0.4× 39 0.8× 80 1.7× 18 242
T. Haendl Germany 8 30 0.3× 98 1.2× 132 2.6× 28 0.6× 25 0.5× 12 434
Tony J. Akl United States 11 52 0.5× 61 0.7× 14 0.3× 43 0.9× 41 0.9× 18 398
Venkata S. Dandamudi United States 9 32 0.3× 88 1.1× 117 2.3× 33 0.7× 15 0.3× 9 325
Elisa Dell’Oglio United States 7 34 0.3× 127 1.5× 85 1.7× 36 0.7× 13 0.3× 8 370
Josefina Maranzano Canada 15 31 0.3× 215 2.6× 116 2.3× 62 1.2× 67 1.4× 36 587
Lealem Mulugeta United States 7 18 0.2× 89 1.1× 66 1.3× 38 0.8× 25 0.5× 22 377
Е. А. Мершина Russia 9 128 1.2× 41 0.5× 46 0.9× 84 1.7× 32 0.7× 103 378
K. N. Bhanu Prakash Singapore 11 27 0.3× 91 1.1× 65 1.3× 22 0.4× 38 0.8× 20 319
Qi Bi China 11 65 0.6× 75 0.9× 30 0.6× 89 1.8× 49 1.0× 39 386

Countries citing papers authored by Tomoko Okano

Since Specialization
Citations

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

Fields of papers citing papers by Tomoko Okano

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tomoko Okano

This figure shows the co-authorship network connecting the top 25 collaborators of Tomoko Okano. A scholar is included among the top collaborators of Tomoko Okano 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 Tomoko Okano. Tomoko Okano is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

18 of 18 papers shown
1.
Okano, Tomoko, Tatsuya Daikoku, Yoshikazu Ugawa, Kazuaki Kanai, & Masato Yumoto. (2021). Perceptual uncertainty modulates auditory statistical learning: A magnetoencephalography study. International Journal of Psychophysiology. 168. 65–71. 6 indexed citations
2.
Yamanouchi, Keitaro, Katsuyuki Nakamura, Kôichi Kimura, et al.. (2020). Pathological evaluation of rats carrying in-frame mutations in the dystrophin gene: a new model of Becker muscular dystrophy. Disease Models & Mechanisms. 13(9). 10 indexed citations
3.
Kimura, Kôichi, Keitaro Yamanouchi, Tomoko Okano, et al.. (2020). Age-Dependent Echocardiographic and Pathologic Findings in a Rat Model with Duchenne Muscular Dystrophy Generated by CRISPR/Cas9 Genome Editing. International Heart Journal. 61(6). 1279–1284. 11 indexed citations
4.
Okano, Tomoko, Masao Daimon, Tomoko Nakao, et al.. (2018). Usefulness of Carotid Arterial Strain Values for Evaluating the Arteriosclerosis. Journal of Atherosclerosis and Thrombosis. 26(5). 476–487. 25 indexed citations
5.
Okano, Tomoko, et al.. (2017). Relative difficulty of auditory statistical learning based on tone transition diversity modulates chunk length in the learning strategy. MPG.PuRe (Max Planck Society). 4 indexed citations
6.
Kimura, Koichi, Masao Daimon, Hiroyuki Morita, et al.. (2015). Evaluation of Right Ventricle by Speckle Tracking and Conventional Echocardiography in Rats With Right Ventricular Heart Failure. International Heart Journal. 56(3). 349–353. 20 indexed citations
7.
Okano, Tomoko, et al.. (2013). Continuation and Resumption of Business in the Disaster-Stricken Area ::Recovery from the Great East Japan Earthquake. Medical Entomology and Zoology. 6(1). 15–23.
8.
Kimura, Kôichi, Katsu Takenaka, Aya Ebihara, et al.. (2011). Speckle Tracking Global Strain Rate E/E′ Predicts LV Filling Pressure More Accurately Than Traditional Tissue Doppler E/E′. Echocardiography. 29(4). 404–410. 62 indexed citations
9.
Matsumoto, Hideyuki, Yasuo Terao, Akihiro Yugeta, et al.. (2011). Where Do Neurologists Look When Viewing Brain CT Images? An Eye-Tracking Study Involving Stroke Cases. PLoS ONE. 6(12). e28928–e28928. 66 indexed citations
10.
Mizuno, Seiya, Tomoko Okano, Noriko Kajiwara, et al.. (2011). Retrotransposon-Mediated Fgf5go-Utr Mutant Mice with Long Pelage Hair. EXPERIMENTAL ANIMALS. 60(2). 161–167. 17 indexed citations
11.
Tejima, Kazuaki, Ryota Masuzaki, Hitoshi Ikeda, et al.. (2010). Thrombocytopenia is more severe in patients with advanced chronic hepatitis C than B with the same grade of liver stiffness and splenomegaly. Journal of Gastroenterology. 45(8). 876–884. 21 indexed citations
12.
Okano, Tomoko, Yasuo Terao, Toshiaki Furubayashi, et al.. (2010). The effect of electromagnetic field emitted by a mobile phone on the inhibitory control of saccades. Clinical Neurophysiology. 121(4). 603–611. 11 indexed citations
13.
Nagasaka, Shinya, et al.. (2009). Antigen-specific IL-23/17 pathway activation by murine semi-mature DC-like cells. Biochemical and Biophysical Research Communications. 387(1). 52–57. 5 indexed citations
14.
Hamada, Masashi, Ritsuko Hanajima, Yasuo Terao, et al.. (2007). Median nerve somatosensory evoked potentials and their high-frequency oscillations in amyotrophic lateral sclerosis. Clinical Neurophysiology. 118(4). 877–886. 49 indexed citations
15.
Terao, Yasuo, Tomoko Okano, Toshiaki Furubayashi, et al.. (2007). Effects of thirty-minute mobile phone exposure on saccades. Clinical Neurophysiology. 118(7). 1545–1556. 21 indexed citations
16.
Okano, Tomoko, Junko Fujitake, Kaori Suzuki, et al.. (2006). [A case of anti-MuSK antibody-positive myasthenia gravis with dropped head as the initial presenting symptom].. PubMed. 46(7). 496–500. 5 indexed citations
17.
Terao, Yasuo, Tomoko Okano, Toshiaki Furubayashi, & Yoshikazu Ugawa. (2006). Effects of thirty-minute mobile phone use on visuo-motor reaction time. Clinical Neurophysiology. 117(11). 2504–2511. 19 indexed citations
18.
Sugioka, Yosuke, Ryosuke Tateishi, Tomoko Okano, et al.. (2005). Evaluation of liver fibrosis by Fibro Scan502. 32.

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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