Masayuki Yokochi

6.0k total citations · 1 hit paper
19 papers, 4.7k citations indexed

About

Masayuki Yokochi is a scholar working on Neurology, Cellular and Molecular Neuroscience and Clinical Biochemistry. According to data from OpenAlex, Masayuki Yokochi has authored 19 papers receiving a total of 4.7k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Neurology, 8 papers in Cellular and Molecular Neuroscience and 3 papers in Clinical Biochemistry. Recurrent topics in Masayuki Yokochi's work include Parkinson's Disease Mechanisms and Treatments (8 papers), Neurological disorders and treatments (7 papers) and Genetic Neurodegenerative Diseases (4 papers). Masayuki Yokochi is often cited by papers focused on Parkinson's Disease Mechanisms and Treatments (8 papers), Neurological disorders and treatments (7 papers) and Genetic Neurodegenerative Diseases (4 papers). Masayuki Yokochi collaborates with scholars based in Japan, Austria and Canada. Masayuki Yokochi's co-authors include Yoshikuni Mizuno, Nobutaka Hattori, Yasuhiro Yamamura, Shuichi Asakawa, Hiroto Matsumine, Tohru Kitada, Nobuyoshi Shimizu, Satoshi Minoshima, Hiroyo Yoshino and Tomonori Kobayashi and has published in prestigious journals such as Nature, Stroke and Annals of Neurology.

In The Last Decade

Masayuki Yokochi

19 papers receiving 4.6k citations

Hit Papers

Mutations in the parkin gene cause autosomal recessive ju... 1998 2026 2007 2016 1998 1000 2.0k 3.0k 4.0k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Masayuki Yokochi Japan 11 3.0k 1.9k 1.9k 1.0k 820 19 4.7k
Olga Corti France 34 1.7k 0.6× 2.1k 1.1× 1.1k 0.6× 1.1k 1.1× 816 1.0× 63 4.0k
Tohru Kitada Japan 22 4.9k 1.6× 3.4k 1.8× 3.2k 1.7× 2.0k 2.0× 1.4k 1.8× 30 7.9k
Pablo Ibáñez Spain 11 2.5k 0.8× 1.1k 0.6× 1.5k 0.8× 321 0.3× 765 0.9× 19 3.5k
Hélène Plun‐Favreau United Kingdom 29 1.6k 0.5× 2.0k 1.1× 814 0.4× 1.1k 1.1× 798 1.0× 44 3.9k
Rina Bandopadhyay United Kingdom 32 2.5k 0.8× 1.5k 0.8× 1.1k 0.6× 476 0.5× 1.2k 1.5× 66 3.9k
Marijke Joosse Netherlands 14 1.8k 0.6× 1.4k 0.7× 1.1k 0.6× 270 0.3× 1.2k 1.5× 16 3.9k
Nicola Vanacore Italy 18 2.6k 0.9× 1.1k 0.6× 1.4k 0.8× 316 0.3× 681 0.8× 31 3.7k
Hidefumi Ito Japan 38 1.7k 0.6× 1.5k 0.8× 838 0.4× 555 0.5× 785 1.0× 145 3.9k
Wen-Lang Lin United States 36 3.4k 1.1× 2.4k 1.2× 1.1k 0.6× 374 0.4× 2.2k 2.7× 51 5.6k
Marcel van der Brug United States 16 1.2k 0.4× 1.5k 0.8× 753 0.4× 449 0.4× 871 1.1× 22 3.0k

Countries citing papers authored by Masayuki Yokochi

Since Specialization
Citations

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

Fields of papers citing papers by Masayuki Yokochi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Masayuki Yokochi

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

All Works

19 of 19 papers shown
1.
Ogaki, Kotaro, Yuanzhe Li, Masashi Takanashi, et al.. (2012). Analyses of the MAPT, PGRN, and C9orf72 mutations in Japanese patients with FTLD, PSP, and CBS. Parkinsonism & Related Disorders. 19(1). 15–20. 70 indexed citations
2.
Yokochi, Masayuki. (2009). Reevaluation of levodopa therapy for the treatment of advanced Parkinson's disease. Parkinsonism & Related Disorders. 15. S25–S30. 9 indexed citations
3.
Suwa, Hiroshi, et al.. (2007). [Electroconvulsive therapy for neurological disorders].. PubMed. 59(4). 313–20. 1 indexed citations
4.
Yokochi, Masayuki, et al.. (2007). Relatively spared mesocorticolimbic dopaminergic system in juvenile parkinsonism. Parkinsonism & Related Disorders. 13(8). 483–488. 6 indexed citations
5.
Yokochi, Masayuki. (2007). [Mesolimbic and mesocortical pathways in Parkinson disease].. PubMed. 59(9). 943–51. 7 indexed citations
6.
Nagao, Takehiko, et al.. (2006). Usefulness of Susceptibility-Weighted Imaging (SWI) for Patients with Acute Ischemic Stroke. Nosotchu. 28(4). 514–518. 1 indexed citations
7.
Nomoto, Tatsuya, et al.. (2005). Cerebral arteriopathy with extracranial artery involvement in a patient with ulcerative colitis. Journal of the Neurological Sciences. 243(1-2). 87–89. 7 indexed citations
8.
Orimo, Satoshi, Takeshi Amino, Masayuki Yokochi, et al.. (2005). Preserved cardiac sympathetic nerve accounts for normal cardiac uptake of MIBG in PARK2. Movement Disorders. 20(10). 1350–1353. 66 indexed citations
9.
Nagayama, Hiroshi, Ken‐ichiro Katsura, Makoto Hamamoto, et al.. (2005). Factors influencing outcome in Guillain–Barré Syndrome: comparison of plasma adsorption against other treatments. Clinical Neurology and Neurosurgery. 107(6). 491–496. 19 indexed citations
10.
Segawa, Masaya, et al.. (2004). Is phenotypic variation of hereditary progressive dystonia with marked diurnal fluctuation/dopa-responsive dystonia (HPD/DRD) caused by the difference of the locus of mutation on the GTP cyclohydrolase 1 (GCH-1) gene?. PubMed. 94. 217–23. 12 indexed citations
11.
Urabe, Takao, Nobutaka Hattori, Yoshirô Watanabe, et al.. (2001). Polymorphism of the Lipoprotein Lipase Gene and Risk of Atherothrombotic Cerebral Infarction in the Japanese. Stroke. 32(7). 1481–1486. 79 indexed citations
12.
Yokochi, Masayuki. (2000). Development of the nosological analysis of juvenile parkinsonism. Brain and Development. 22. 81–86. 9 indexed citations
14.
Kitada, Tohru, Shuichi Asakawa, Nobutaka Hattori, et al.. (1998). Mutations in the parkin gene cause autosomal recessive juvenile parkinsonism. Nature. 392(6676). 605–608. 4013 indexed citations breakdown →
15.
Yokochi, Masayuki. (1997). Familial Juvenile Parkinsonism. European Neurology. 38(1). 29–33. 15 indexed citations
16.
Miwa, Hideto, et al.. (1996). Injection of a GABA antagonist into the mesopontine reticular formation abolishes haloperidol-induced catalepsy in rats. Neuroreport. 7(15). 2475–2478. 10 indexed citations
17.
Shimadzu, Mitsunobu, Ali H. Rajput, Tetsuzo Tagawa, et al.. (1996). GTP‐cyclohydrolase I gene mutations in hereditary progressive and dopa‐responsive dystonia. Annals of Neurology. 39(5). 609–617. 75 indexed citations
18.
Ichinose, Hiroshi, et al.. (1995). GTP cyclohydrolase I activity in mononuclear blood cells in juvenile parkinsonism. Neuroscience Letters. 190(2). 140–142. 8 indexed citations
19.
Kim, Phyo, Buichi Ishijima, Hiroshi Takahashi, Hiroyuki Shimizu, & Masayuki Yokochi. (1985). Hemiparesis caused by vertebral artery compression of the medulla oblongata. Journal of neurosurgery. 62(3). 425–429. 41 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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