Tetsuo Koyama

3.0k total citations · 1 hit paper
103 papers, 2.1k citations indexed

About

Tetsuo Koyama is a scholar working on Psychiatry and Mental health, Neurology and Rehabilitation. According to data from OpenAlex, Tetsuo Koyama has authored 103 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Psychiatry and Mental health, 29 papers in Neurology and 29 papers in Rehabilitation. Recurrent topics in Tetsuo Koyama's work include Stroke Rehabilitation and Recovery (29 papers), Cerebral Palsy and Movement Disorders (27 papers) and Advanced Neuroimaging Techniques and Applications (23 papers). Tetsuo Koyama is often cited by papers focused on Stroke Rehabilitation and Recovery (29 papers), Cerebral Palsy and Movement Disorders (27 papers) and Advanced Neuroimaging Techniques and Applications (23 papers). Tetsuo Koyama collaborates with scholars based in Japan, United States and Czechia. Tetsuo Koyama's co-authors include Robert C. Coghill, Kazuhisa Domen, John G. McHaffie, Paul J. Laurienti, Akichika Mikami, Yusuke Tanaka, Hiroji Miyake, Kohei Marumoto, Toshiko Sakai and Noriko Kambara and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Gastroenterology and NeuroImage.

In The Last Decade

Tetsuo Koyama

95 papers receiving 2.0k citations

Hit Papers

The subjective experience of pain: Where expectations bec... 2005 2026 2012 2019 2005 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tetsuo Koyama Japan 21 676 540 433 382 325 103 2.1k
David C. Good United States 30 802 1.2× 359 0.7× 369 0.9× 815 2.1× 746 2.3× 61 2.6k
Vittorio Di Piero Italy 35 1.1k 1.6× 529 1.0× 1.4k 3.1× 608 1.6× 949 2.9× 157 4.4k
Bengt H. Sjölund Sweden 26 538 0.8× 1.1k 2.0× 456 1.1× 338 0.9× 409 1.3× 57 3.1k
John L. K. Kramer Canada 24 212 0.3× 539 1.0× 185 0.4× 261 0.7× 176 0.5× 119 1.8k
Marco Di Monaco Italy 27 459 0.7× 735 1.4× 450 1.0× 203 0.5× 247 0.8× 90 2.6k
Ólafur Kjartansson Iceland 32 498 0.7× 406 0.8× 1.6k 3.6× 114 0.3× 668 2.1× 65 4.4k
Min Ho Chun South Korea 25 445 0.7× 132 0.2× 405 0.9× 858 2.2× 366 1.1× 96 2.0k
Veit Mylius Germany 25 604 0.9× 614 1.1× 529 1.2× 111 0.3× 550 1.7× 71 2.2k
Thomas Sycha Austria 22 228 0.3× 487 0.9× 145 0.3× 86 0.2× 388 1.2× 56 1.5k
Alexander V. Ng United States 27 138 0.2× 766 1.4× 520 1.2× 239 0.6× 261 0.8× 76 3.8k

Countries citing papers authored by Tetsuo Koyama

Since Specialization
Citations

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

Fields of papers citing papers by Tetsuo Koyama

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tetsuo Koyama

This figure shows the co-authorship network connecting the top 25 collaborators of Tetsuo Koyama. A scholar is included among the top collaborators of Tetsuo Koyama 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 Koyama. Tetsuo Koyama 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.
Koyama, Tetsuo, et al.. (2024). Outcome Prediction by Combining Corticospinal Tract Lesion Load with Diffusion-tensor Fractional Anisotropy in Patients after Hemorrhagic Stroke. Progress in Rehabilitation Medicine. 9(0). n/a–n/a. 2 indexed citations
2.
Uchiyama, Yuki, Kazuhisa Domen, & Tetsuo Koyama. (2023). Brain regions associated with Brunnstrom and functional independence measure scores in patients after a stroke: a tract-based spatial statistics study. Journal of Physical Therapy Science. 35(3). 211–216. 1 indexed citations
3.
Uchiyama, Yuki, et al.. (2023). Automated Tractography for the Assessment of Aphasia in Acute Care Stroke Rehabilitation: A Case Series. Progress in Rehabilitation Medicine. 8(0). n/a–n/a. 2 indexed citations
4.
Koyama, Tetsuo, et al.. (2023). Applicability of fractional anisotropy from standardized automated tractography for outcome prediction of patients after stroke. Journal of Physical Therapy Science. 35(12). 838–844. 2 indexed citations
5.
Koyama, Tetsuo. (2022). Perspectives and Statistics for Observational Research in Clinical Rehabilitation. The Japanese Journal of Rehabilitation Medicine. 59(11). 1080–1086.
6.
Uchiyama, Yuki, et al.. (2021). COVID-19 Patient Returned to Work after Long Hospitalization and Follow-up: A Case Report. Progress in Rehabilitation Medicine. 6(0). n/a–n/a. 4 indexed citations
7.
Koyama, Tetsuo. (2020). 第1回 視座と主語とパラグラフ. The Japanese Journal of Rehabilitation Medicine. 57(4). 346–351. 1 indexed citations
8.
Koyama, Tetsuo. (2020). 第3回 表現の手法. The Japanese Journal of Rehabilitation Medicine. 57(6). 552–557. 1 indexed citations
9.
Saito, Jun, Tetsuo Koyama, & Kazuhisa Domen. (2018). Long-Term Outcomes of FIM Motor Items Predicted From Acute Stage NIHSS of Patients With Middle Cerebral Artery Infarct. Annals of Rehabilitation Medicine. 42(5). 670–681. 12 indexed citations
10.
Koyama, Tetsuo. (2018). Outcome Prediction of Patients after Stroke. The Japanese Journal of Rehabilitation Medicine. 55(9). 773–782. 4 indexed citations
12.
Koyama, Tetsuo, Kohei Marumoto, Hiroji Miyake, & Kazuhisa Domen. (2013). Relationship between Diffusion Tensor Fractional Anisotropy and Motor Outcome in Patients with Hemiparesis after Corona Radiata Infarct. Journal of Stroke and Cerebrovascular Diseases. 22(8). 1355–1360. 17 indexed citations
13.
Koyama, Tetsuo, et al.. (2011). IMPROVEMENT OF CALCULATION PRECISION OF THEORETICAL GROUND MOTIONS USING THIN LAYER METHOD AND ITS VERIFICATION, PART 2. AIJ Journal of Technology and Design. 17(35). 55–59. 2 indexed citations
14.
Koyama, Tetsuo. (2009). Outcome Prediction for Stroke Patients : An Application for Local Healthcare Networking. The Japanese Journal of Rehabilitation Medicine. 46(2). 108–117. 3 indexed citations
15.
Koyama, Tetsuo, et al.. (2006). . The Japanese Journal of Rehabilitation Medicine. 43(6). 347–352. 8 indexed citations
16.
Miyazaki, Masayuki, et al.. (1993). [Long-term prognosis of idiopathic thrombocytopenic purpura treated by partial splenic embolization].. PubMed. 94(4). 383–93. 3 indexed citations
17.
Koyama, Tetsuo, et al.. (1983). [Diagnostic value of CT in spinal cord neurinomas].. PubMed. 11(8). 845–54.
18.
Koyama, Tetsuo, Junya Hanakita, & J Handa. (1981). [Solitary spinal epidural angiomas-reports of three cases with special reference to spinal epidural hematoma (author's transl)].. PubMed. 9(1). 91–6. 10 indexed citations
19.
Koyama, Tetsuo. (1960). Developmental studies on the fusion and the disjunction of the eyelids in the white mouse.. 7(1). 1 indexed citations
20.
Koyama, Tetsuo. (1956). Taxonomic Study of Cyperaceae V. Shokubutsugaku Zasshi. 69(812). 59–67. 5 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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