Yasushi Shimo

2.9k total citations
90 papers, 1.8k citations indexed

About

Yasushi Shimo is a scholar working on Neurology, Cellular and Molecular Neuroscience and Neurology. According to data from OpenAlex, Yasushi Shimo has authored 90 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 74 papers in Neurology, 19 papers in Cellular and Molecular Neuroscience and 16 papers in Neurology. Recurrent topics in Yasushi Shimo's work include Parkinson's Disease Mechanisms and Treatments (60 papers), Neurological disorders and treatments (50 papers) and Botulinum Toxin and Related Neurological Disorders (17 papers). Yasushi Shimo is often cited by papers focused on Parkinson's Disease Mechanisms and Treatments (60 papers), Neurological disorders and treatments (50 papers) and Botulinum Toxin and Related Neurological Disorders (17 papers). Yasushi Shimo collaborates with scholars based in Japan, United States and Canada. Yasushi Shimo's co-authors include Nobutaka Hattori, Shigeru Kitazawa, Manabu Funayama, Kenji Yoshimi, Ryōsuke Takahashi, Genko Oyama, Kazutaka Ikeda, Yukio Takamatsu, Okihide Hikosaka and Taku Hatano and has published in prestigious journals such as Journal of Neuroscience, PLoS ONE and Brain Research.

In The Last Decade

Yasushi Shimo

84 papers receiving 1.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yasushi Shimo Japan 22 943 450 392 254 210 90 1.8k
Luca Marsili United States 26 1.4k 1.5× 477 1.1× 308 0.8× 471 1.9× 172 0.8× 90 2.2k
Mya C. Schiess United States 24 1.0k 1.1× 420 0.9× 378 1.0× 203 0.8× 197 0.9× 72 1.6k
Bertrand Degos France 29 1.3k 1.4× 976 2.2× 430 1.1× 354 1.4× 284 1.4× 96 2.3k
Kit Wu United Kingdom 19 1.4k 1.5× 970 2.2× 293 0.7× 268 1.1× 445 2.1× 34 2.3k
Amit Batla United Kingdom 23 843 0.9× 429 1.0× 292 0.7× 218 0.9× 153 0.7× 60 1.5k
Katie Kompoliti United States 24 979 1.0× 521 1.2× 234 0.6× 179 0.7× 223 1.1× 56 1.9k
Mario Stampanoni Bassi Italy 25 425 0.5× 338 0.8× 258 0.7× 626 2.5× 317 1.5× 71 1.9k
Ulrich Dillmann Germany 24 1.2k 1.2× 499 1.1× 164 0.4× 252 1.0× 416 2.0× 77 2.1k
Wei Song China 25 1.2k 1.3× 388 0.9× 290 0.7× 315 1.2× 645 3.1× 106 2.1k
Fumihito Yoshii Japan 24 693 0.7× 291 0.6× 520 1.3× 202 0.8× 266 1.3× 92 1.8k

Countries citing papers authored by Yasushi Shimo

Since Specialization
Citations

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

Fields of papers citing papers by Yasushi Shimo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yasushi Shimo

This figure shows the co-authorship network connecting the top 25 collaborators of Yasushi Shimo. A scholar is included among the top collaborators of Yasushi Shimo 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 Yasushi Shimo. Yasushi Shimo 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.
Kurihara, Masanori, Akira Arakawa, Aya M. Tokumaru, et al.. (2024). Dynamic aphasia as an early sign of corticobasal degeneration: Clinico-radio-pathological correlation. eNeurologicalSci. 37. 100526–100526. 2 indexed citations
2.
Iwamuro, Hirokazu, Ryota Nakamura, Shuko Nojiri, et al.. (2024). Antagonism of metabotropic glutamate receptor type 5 prevents levodopa‐induced dyskinesia development in a male rat model of Parkinson's disease: Electrophysiological evidence. Journal of Neuroscience Research. 102(3). e25302–e25302.
3.
Kashihara, Kenichi, Nobutaka Hattori, Masahiro Nomoto, et al.. (2024). Factors associated with progression of non‐motor symptoms and deterioration in quality of life in Parkinson's disease: Results of J‐FIRST, a 1‐year observational study. Neurology and Clinical Neuroscience. 13(1). 37–47. 1 indexed citations
4.
Umemura, Atsushi, Genko Oyama, Hirokazu Iwamuro, et al.. (2023). Application of current steering with MICC directional lead in STN-DBS for Parkinson’s disease. 1. 20–25. 4 indexed citations
5.
6.
Takeshige‐Amano, Haruka, Taku Hatano, Koji Kamagata, et al.. (2022). White matter microstructures in Parkinson's disease with and without impulse control behaviors. Annals of Clinical and Translational Neurology. 9(3). 253–263. 7 indexed citations
7.
8.
Sato, Kazunori, Nana Izawa, Kozo Hatori, et al.. (2022). Short‐Term Motor Outcomes in Parkinson’s Disease after Subthalamic Nucleus Deep Brain Stimulation Combined with Post‐Operative Rehabilitation: A Pre‐Post Comparison Study. Parkinson s Disease. 2022(1). 8448638–8448638. 5 indexed citations
9.
Tamura, Kaori, Takahiro Osada, Akitoshi Ogawa, et al.. (2019). MRI-based visualization of rTMS-induced cortical plasticity in the primary motor cortex. PLoS ONE. 14(10). e0224175–e0224175. 14 indexed citations
10.
Osada, Takahiro, Akitoshi Ogawa, Masaki Tanaka, et al.. (2019). An Essential Role of the Intraparietal Sulcus in Response Inhibition Predicted by Parcellation-Based Network. Journal of Neuroscience. 39(13). 2509–2521. 60 indexed citations
11.
Han, Shuyan, Akitoshi Ogawa, Takahiro Osada, et al.. (2019). More subjects are required for ventrolateral than dorsolateral prefrontal TMS because of intolerability and potential drop-out. PLoS ONE. 14(6). e0217826–e0217826. 7 indexed citations
12.
Hatano, Taku, Kazuaki Kanai, Nozomi Aoki, et al.. (2019). Pembrolizumab-related systemic myositis involving ocular and hindneck muscles resembling myasthenic gravis: a case report. BMC Neurology. 19(1). 184–184. 40 indexed citations
13.
Ueno, Yuji, Yoko Edahiro, Nobukazu Miyamoto, et al.. (2019). Specific mechanisms of subarachnoid hemorrhage accompanied by ischemic stroke in essential thrombocythemia: two case reports and a literature review. Journal of Neurology. 266(8). 1869–1878. 14 indexed citations
14.
Shimo, Yasushi, et al.. (2019). Freezing of gait in Parkinson’s disease may share the mechanisms of dystonia. Neurological Sciences. 41(5). 1285–1286. 5 indexed citations
15.
Nagayama, Hiroshi, Osamu Kano, Hidetomo Murakami, et al.. (2018). Effect of istradefylline on mood disorders in Parkinson's disease. Journal of the Neurological Sciences. 396. 78–83. 38 indexed citations
16.
Ogawa, Takashi, Yuji Ueno, Nobukazu Miyamoto, et al.. (2018). Conjugate Eye Deviation Caused by Upper Medial Medullary Infarction: A Case Report. Journal of Stroke and Cerebrovascular Diseases. 27(9). e221–e223. 1 indexed citations
17.
Daida, Kensuke, Ryota Tanaka, Kazuo Yamashiro, et al.. (2018). The presence of cerebral microbleeds is associated with cognitive impairment in Parkinson's disease. Journal of the Neurological Sciences. 393. 39–44. 21 indexed citations
18.
Yamashiro, Kazuo, Ryota Tanaka, Yasushi Shimo, et al.. (2017). Cerebral microbleeds and blood pressure abnormalities in Parkinson's disease. eNeurologicalSci. 10. 5–11. 14 indexed citations
19.
Oyama, Genko, Kenji Yoshimi, Yong‐Ri Ren, et al.. (2010). Impaired in vivo dopamine release in parkin knockout mice. Brain Research. 1352. 214–222. 46 indexed citations
20.
Hikosaka, Okihide, Rand Randall Martins, Kae Nakamura, et al.. (2002). Long-term retention of motor skill in macaque monkeys and humans. Experimental Brain Research. 147(4). 494–504. 66 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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