Yoichiro Nishida

2.2k total citations · 1 hit paper
34 papers, 1.1k citations indexed

About

Yoichiro Nishida is a scholar working on Molecular Biology, Neurology and Physiology. According to data from OpenAlex, Yoichiro Nishida has authored 34 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 9 papers in Neurology and 9 papers in Physiology. Recurrent topics in Yoichiro Nishida's work include Alzheimer's disease research and treatments (8 papers), Multiple Sclerosis Research Studies (7 papers) and Neurological and metabolic disorders (3 papers). Yoichiro Nishida is often cited by papers focused on Alzheimer's disease research and treatments (8 papers), Multiple Sclerosis Research Studies (7 papers) and Neurological and metabolic disorders (3 papers). Yoichiro Nishida collaborates with scholars based in Japan, United States and Czechia. Yoichiro Nishida's co-authors include Takanori Yokota, Jesse D. Sengillo, Abhay P. Sagare, Berislav V. Zloković, Robert D. Bell, Darryl C. De Vivo, Ethan A. Winkler, Edward Zúñiga, John S. Sullivan and Rosalinda B. Wenby and has published in prestigious journals such as Journal of Biological Chemistry, Nature Neuroscience and PLoS ONE.

In The Last Decade

Yoichiro Nishida

25 papers receiving 1.1k citations

Hit Papers

GLUT1 reductions exacerbate Alzheimer's disease vasculo-n... 2015 2026 2018 2022 2015 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
Yoichiro Nishida Japan 11 453 288 283 277 216 34 1.1k
Antonio Di Meco United States 15 442 1.0× 154 0.5× 405 1.4× 148 0.5× 91 0.4× 24 1.1k
Danian Zhu China 23 181 0.4× 151 0.5× 314 1.1× 235 0.8× 77 0.4× 48 1.3k
Yafei Huang United States 8 355 0.8× 408 1.4× 96 0.3× 69 0.2× 275 1.3× 12 853
Sujira Mukda Thailand 18 239 0.5× 131 0.5× 427 1.5× 243 0.9× 46 0.2× 43 1.2k
Jingcheng Li China 17 79 0.2× 237 0.8× 312 1.1× 234 0.8× 106 0.5× 47 1.1k
Burak Yuluğ Türkiye 21 217 0.5× 199 0.7× 314 1.1× 378 1.4× 26 0.1× 86 1.3k
Qingguo Ren China 22 390 0.9× 113 0.4× 357 1.3× 275 1.0× 57 0.3× 60 1.2k
Faridis Serrano United States 13 532 1.2× 137 0.5× 405 1.4× 348 1.3× 27 0.1× 22 1.4k
Felix Cruz-Sánchez Spain 18 477 1.1× 247 0.9× 384 1.4× 184 0.7× 34 0.2× 38 1.6k
Yoshiyuki Soeda Japan 13 364 0.8× 113 0.4× 236 0.8× 88 0.3× 57 0.3× 25 652

Countries citing papers authored by Yoichiro Nishida

Since Specialization
Citations

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

Fields of papers citing papers by Yoichiro Nishida

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yoichiro Nishida

This figure shows the co-authorship network connecting the top 25 collaborators of Yoichiro Nishida. A scholar is included among the top collaborators of Yoichiro Nishida 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 Yoichiro Nishida. Yoichiro Nishida 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.
Yokote, Hiroaki, et al.. (2026). Characterizing spinal cord atrophy in multiple sclerosis patients without disease activity or brain atrophy progression. Multiple Sclerosis and Related Disorders. 107. 106990–106990.
2.
Matsumura, Ryusuke, et al.. (2025). Efficacy of filgrastim therapy for patients with progressive multifocal leukoencephalopathy: Two case reports. International Journal of Infectious Diseases. 158. 107950–107950.
4.
Yokote, Hiroaki, Yusei Miyazaki, Juichi Fujimori, et al.. (2024). Slowly expanding lesions are associated with disease activity and gray matter loss in relapse‐onset multiple sclerosis. Journal of Neuroimaging. 34(6). 758–765. 1 indexed citations
5.
Yokote, Hiroaki, Yusei Miyazaki, Juichi Fujimori, et al.. (2024). Characterization of Japanese multiple sclerosis patients with progression independent of relapse activity: A 2-year multicenter cohort study. Journal of Neuroimmunology. 394. 578407–578407.
7.
Yokote, Hiroaki, Yusei Miyazaki, Shuta Toru, et al.. (2022). High-efficacy therapy reduces subcortical grey matter volume loss in Japanese patients with relapse-onset multiple sclerosis: A 2-year cohort study. Multiple Sclerosis and Related Disorders. 67. 104077–104077. 4 indexed citations
8.
9.
Takahashi, Makoto, Nozomu Sato, Yoichiro Nishida, et al.. (2021). Oculo-dento-digital Dysplasia Presenting as Spastic Paraparesis Which Was Successfully Treated by Intrathecal Baclofen Therapy. Internal Medicine. 60(14). 2301–2305. 1 indexed citations
10.
Nishida, Yoichiro & Takanori Yokota. (2021). Reversible Reduction of Dopamine Transporter Uptake in a Case of Hydrocephalus. Annals of Neurology. 90(2). 326–327. 1 indexed citations
11.
Yokote, Hiroaki, Shuta Toru, Yoichiro Nishida, et al.. (2020). Serum amyloid A level correlates with T2 lesion volume and cortical volume in patients with multiple sclerosis. Journal of Neuroimmunology. 351. 577466–577466. 6 indexed citations
12.
Nishida, Yoichiro, et al.. (2020). Convexity Subarachnoid Hemorrhage Soon after Starting a Direct Oral Anticoagulant in 2 Patients with Acute Infarction. Journal of Stroke and Cerebrovascular Diseases. 29(11). 105216–105216.
13.
Nishida, Yoichiro, et al.. (2019). Temporal correlation between serum CH50 level and symptom severity of myasthenia gravis during eculizumab therapy. Clinical Neurology and Neurosurgery. 189. 105630–105630. 8 indexed citations
14.
Winkler, Ethan A., Yoichiro Nishida, Abhay P. Sagare, et al.. (2015). GLUT1 reductions exacerbate Alzheimer's disease vasculo-neuronal dysfunction and degeneration. Nature Neuroscience. 18(4). 521–530. 516 indexed citations breakdown →
15.
Iwasa, Kazuo, et al.. (2014). Retinitis pigmentosa and macular degeneration in a patient with ataxia with isolated vitamin E deficiency with a novel c.717 del C mutation in the TTPA gene. Journal of the Neurological Sciences. 345(1-2). 228–230. 13 indexed citations
16.
Sagare, Abhay P., Robert D. Bell, Alaka Srivastava, et al.. (2013). A Lipoprotein Receptor Cluster IV Mutant Preferentially Binds Amyloid-β and Regulates Its Clearance from the Mouse Brain. Journal of Biological Chemistry. 288(21). 15154–15166. 31 indexed citations
17.
Nishida, Yoichiro, et al.. (2006). A case of listeria meningitis associated with increased adenosine deaminase in cerebrospinal fluid. Diagnostic Microbiology and Infectious Disease. 57(4). 435–437. 4 indexed citations
18.
Ren, Yong‐Ri, Yoichiro Nishida, Kenji Yoshimi, et al.. (2006). Genetic vitamin E deficiency does not affect MPTP susceptibility in the mouse brain. Journal of Neurochemistry. 98(6). 1810–1816. 16 indexed citations
19.
Nishida, Yoichiro, et al.. (2006). Deletion of vitamin E enhances phenotype of Alzheimer disease model mouse. Biochemical and Biophysical Research Communications. 350(3). 530–536. 70 indexed citations
20.
Ishiai, Sumio, et al.. (2003). Image of a line is not shrunk but neglected. Neuropsychologia. 42(2). 251–256. 11 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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