Tatsuro Misu

13.2k total citations · 3 hit papers
170 papers, 8.6k citations indexed

About

Tatsuro Misu is a scholar working on Pathology and Forensic Medicine, Neurology and Rheumatology. According to data from OpenAlex, Tatsuro Misu has authored 170 papers receiving a total of 8.6k indexed citations (citations by other indexed papers that have themselves been cited), including 129 papers in Pathology and Forensic Medicine, 98 papers in Neurology and 37 papers in Rheumatology. Recurrent topics in Tatsuro Misu's work include Multiple Sclerosis Research Studies (127 papers), Peripheral Neuropathies and Disorders (82 papers) and Systemic Lupus Erythematosus Research (29 papers). Tatsuro Misu is often cited by papers focused on Multiple Sclerosis Research Studies (127 papers), Peripheral Neuropathies and Disorders (82 papers) and Systemic Lupus Erythematosus Research (29 papers). Tatsuro Misu collaborates with scholars based in Japan, Austria and Canada. Tatsuro Misu's co-authors include Kazuo Fujihara, Ichiro Nakashima, Yasuto Itoyama, Toshiyuki Takahashi, Masashi Aoki, Shohei Watanabe, Yoshiki Takai, Isabelle Miyazawa, Douglas Kazutoshi Sato and Shigeru Sato and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Journal of Immunology and PLoS ONE.

In The Last Decade

Tatsuro Misu

158 papers receiving 8.5k citations

Hit Papers

Distinction between MOG antibody-positive and AQP4 antibo... 2014 2026 2018 2022 2014 2017 2015 200 400 600

Peers

Tatsuro Misu
Jeffrey L. Bennett United States
Anu Jacob United Kingdom
Thomas J. Kryzer United States
Sven Jarius Germany
Maria Isabel Leite United Kingdom
Elizabeth Fisher United States
Jeffrey L. Bennett United States
Tatsuro Misu
Citations per year, relative to Tatsuro Misu Tatsuro Misu (= 1×) peers Jeffrey L. Bennett

Countries citing papers authored by Tatsuro Misu

Since Specialization
Citations

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

Fields of papers citing papers by Tatsuro Misu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tatsuro Misu

This figure shows the co-authorship network connecting the top 25 collaborators of Tatsuro Misu. A scholar is included among the top collaborators of Tatsuro Misu 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 Tatsuro Misu. Tatsuro Misu 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.
Fujihara, Kazuo, Noriko Isobe, Katsuichi Miyamoto, et al.. (2025). Effectiveness of satralizumab in a real-world clinical setting in Japan: Interleukin-6 receptor inhibition in neuromyelitis optica spectrum disorder: A six-month interim analysis of a multicenter medical chart review. Multiple Sclerosis and Related Disorders. 98. 106384–106384. 2 indexed citations
2.
Fujimori, Juichi, et al.. (2025). Differences in the Neural Substrate for Physical and Mental Quality of Life in Patients With Multiple Sclerosis. Brain and Behavior. 15(11). e71050–e71050.
4.
Kaneko, Kimihiko, Hiroshi Kuroda, Yuki Matsumoto, et al.. (2024). Different Complement Activation Patterns Following C5 Cleavage in MOGAD and AQP4-IgG+NMOSD. Neurology Neuroimmunology & Neuroinflammation. 11(5). e200293–e200293. 7 indexed citations
5.
Akaishi, Tetsuya, T. Takahashi, Tatsuro Misu, et al.. (2023). Time-Dependent Analysis of Sicca Symptoms and Anti-Ro/SSA and Anti-La/SSB Antibodies in Patients with AQP4-IgG-Positive Neuromyelitis Optica Spectrum Disorder. The Tohoku Journal of Experimental Medicine. 260(3). 215–221. 1 indexed citations
6.
Fujihara, Kazuo, Ho Jin Kim, Takahiko Saida, et al.. (2023). Efficacy and safety of inebilizumab in Asian participants with neuromyelitis optica spectrum disorder: Subgroup analyses of the N-MOmentum study. Multiple Sclerosis and Related Disorders. 79. 104938–104938. 5 indexed citations
7.
Ponleitner, Markus, Yoshiki Takai, Daniel Hofmann, et al.. (2023). Paths to hippocampal damage in neuromyelitis optica spectrum disorders. Neuropathology and Applied Neurobiology. 49(2). e12893–e12893. 3 indexed citations
9.
Matsumoto, Yuki, Takafumi Kubota, Kensuke Ikeda, et al.. (2022). MOG Antibody-Associated Disorders Following SARS-CoV-2 Vaccination: A Case Report and Literature Review. Frontiers in Neurology. 13. 845755–845755. 20 indexed citations
10.
Akaishi, Tetsuya, Tatsuro Misu, Kazuo Fujihara, et al.. (2021). White blood cell count profiles in multiple sclerosis during attacks before the initiation of acute and chronic treatments. Scientific Reports. 11(1). 22357–22357. 25 indexed citations
11.
Akaishi, Tetsuya, Toshiyuki Takahashi, Kazuo Fujihara, et al.. (2020). Number of MRI T1-hypointensity corrected by T2/FLAIR lesion volume indicates clinical severity in patients with multiple sclerosis. PLoS ONE. 15(4). e0231225–e0231225. 6 indexed citations
12.
Tahara, Masayuki, Tomoko Oeda, Kazumasa Okada, et al.. (2020). Safety and efficacy of rituximab in neuromyelitis optica spectrum disorders (RIN-1 study): a multicentre, randomised, double-blind, placebo-controlled trial. The Lancet Neurology. 19(4). 298–306. 233 indexed citations
13.
Akaishi, Tetsuya, Toshiyuki Takahashi, Kazuo Fujihara, et al.. (2020). Risk factors of attacks in neuromyelitis optica spectrum disorders. Journal of Neuroimmunology. 343. 577236–577236. 26 indexed citations
14.
Zeka, Bleranda, Maria Hastermann, Sonja Hochmeister, et al.. (2015). Highly encephalitogenic aquaporin 4-specific T cells and NMO-IgG jointly orchestrate lesion location and tissue damage in the CNS. Acta Neuropathologica. 130(6). 783–798. 57 indexed citations
15.
Geis, Christian, Christian Ritter, Christoph Ruschil, et al.. (2014). The intrinsic pathogenic role of autoantibodies to aquaporin 4 mediating spinal cord disease in a rat passive-transfer model. Experimental Neurology. 265. 8–21. 52 indexed citations
16.
Nakashima, Ichiro, Tatsuro Misu, Benjamin R. Wakerley, et al.. (2013). Multiple sclerosis patients in Japan appear to have less disability compared to the UK. Multiple Sclerosis Journal. 19. 341–341. 1 indexed citations
17.
Sugeno, Naoto, Kaoru Endo, Emiko Miura, et al.. (2012). Recurrent hypogeusia in a patient with chronic inflammatory demyelinating polyradiculoneuropathy (CIDP). Journal of Clinical Neuroscience. 19(4). 604–605. 2 indexed citations
18.
Watanabe, Shohei, Ichiro Nakashima, Tatsuro Misu, et al.. (2007). Therapeutic efficacy of plasma exchange in NMO-IgG-positive patients with neuromyelitis optica. Multiple Sclerosis Journal. 13(1). 128–132. 209 indexed citations
19.
Narikawa, Koichi, Tatsuro Misu, Kazuo Fujihara, et al.. (2004). CSF chemokine levels in relapsing neuromyelitis optica and multiple sclerosis. Journal of Neuroimmunology. 149(1-2). 182–186. 64 indexed citations
20.
Matsumoto, Yoh, Youngheun Jee, Kazuo Fujihara, et al.. (2003). Complementarity-Determining Region 3 Spectratyping Analysis of the TCR Repertoire in Multiple Sclerosis. The Journal of Immunology. 170(9). 4846–4853. 40 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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