Wakiro Sato

2.7k total citations · 1 hit paper
50 papers, 2.0k citations indexed

About

Wakiro Sato is a scholar working on Pathology and Forensic Medicine, Immunology and Molecular Biology. According to data from OpenAlex, Wakiro Sato has authored 50 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Pathology and Forensic Medicine, 21 papers in Immunology and 15 papers in Molecular Biology. Recurrent topics in Wakiro Sato's work include Multiple Sclerosis Research Studies (22 papers), T-cell and B-cell Immunology (14 papers) and Immunotherapy and Immune Responses (8 papers). Wakiro Sato is often cited by papers focused on Multiple Sclerosis Research Studies (22 papers), T-cell and B-cell Immunology (14 papers) and Immunotherapy and Immune Responses (8 papers). Wakiro Sato collaborates with scholars based in Japan, United States and Slovakia. Wakiro Sato's co-authors include Takashi Yamamura, Sachiko Miyake, Norio Chihara, Toshimasa Aranami, Masakazu Nakamura, Tomoko Okamoto, Wataru Suda, Masahira Hattori, Takako Matsuoka and Masafumi Ogawa and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and The Journal of Immunology.

In The Last Decade

Wakiro Sato

45 papers receiving 2.0k citations

Hit Papers

Dysbiosis in the Gut Microbiota of Patients with Multiple... 2015 2026 2018 2022 2015 100 200 300 400 500

Peers

Wakiro Sato
Wakiro Sato
Citations per year, relative to Wakiro Sato Wakiro Sato (= 1×) peers Lisa Ann Gerdes

Countries citing papers authored by Wakiro Sato

Since Specialization
Citations

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

Fields of papers citing papers by Wakiro Sato

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wakiro Sato

This figure shows the co-authorship network connecting the top 25 collaborators of Wakiro Sato. A scholar is included among the top collaborators of Wakiro Sato 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 Wakiro Sato. Wakiro Sato 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.
Sato, Wakiro, Kimitoshi Kimura, Youwei Lin, et al.. (2024). High frequency of circulating non-classical monocytes is associated with stable remission in relapsing-remitting multiple sclerosis. Immunological Medicine. 47(3). 151–165. 1 indexed citations
2.
Sato, Wakiro, Yukio Kimura, Youwei Lin, et al.. (2024). CD11c high B Cell Expansion Is Associated With Severity and Brain Atrophy in Neuromyelitis Optica. Neurology Neuroimmunology & Neuroinflammation. 11(2). e200206–e200206. 7 indexed citations
3.
Katsumoto, Atsuko, Tomoko Okamoto, Wakiro Sato, et al.. (2024). Ofatumumab for multiple sclerosis with disability accumulation. Journal of the Neurological Sciences. 468. 123356–123356.
4.
Kiguchi, Yuya, Hiroaki Masuoka, Ben J. E. Raveney, et al.. (2024). Tyzzerella nexilis strains enriched in mobile genetic elements are involved in progressive multiple sclerosis. Cell Reports. 43(10). 114785–114785. 3 indexed citations
5.
Sato, Wakiro, Ben J. E. Raveney, Hiromi Yamaguchi, et al.. (2024). Pathogenic Potential of Eomesodermin‐Expressing T‐Helper Cells in Neurodegenerative Diseases. Annals of Neurology. 95(6). 1093–1098. 3 indexed citations
6.
Sato, Wakiro, Daisuke Noto, M. Araki, et al.. (2023). First-in-human clinical trial of the NKT cell-stimulatory glycolipid OCH in multiple sclerosis. Therapeutic Advances in Neurological Disorders. 16. 4223443241–4223443241. 10 indexed citations
8.
Matsuoka, Takako, M. Araki, Youwei Lin, et al.. (2023). Long-term Effects of IL-6 Receptor Blockade Therapy on Regulatory Lymphocytes and Neutrophils in Neuromyelitis Optica Spectrum Disorder. Neurology Neuroimmunology & Neuroinflammation. 11(1). 6 indexed citations
9.
Okamoto, Tomoko, Youwei Lin, Atsuko Katsumoto, et al.. (2023). Ratio of lymphocyte to monocyte area under the curve as a novel predictive factor for severe infection in multiple sclerosis. Frontiers in Immunology. 14. 1133444–1133444. 1 indexed citations
10.
Okamoto, Tomoko, et al.. (2023). Exploring the Potential of the Corpus Callosum Area as a Predictive Marker for Impaired Information Processing in Multiple Sclerosis. Journal of Clinical Medicine. 12(21). 6948–6948. 2 indexed citations
11.
Raveney, Ben J. E., Yosif El‐Darawish, Wakiro Sato, et al.. (2022). Neuropilin‐1 ( NRP1 ) expression distinguishes self‐reactive helper T cells in systemic autoimmune disease. EMBO Molecular Medicine. 14(10). e15864–e15864. 5 indexed citations
12.
Fujieda, Yuichiro, Nobuhiko Takahashi, Kohei Karino, et al.. (2022). Pathogenic neuropsychiatric effect of stress-induced microglial interleukin 12/23 axis in systemic lupus erythematosus. Annals of the Rheumatic Diseases. 81(11). 1564–1575. 15 indexed citations
13.
Sato, Wakiro, et al.. (2021). Alterations of the gut microbiome in different stages of multiple sclerosis (2728). Neurology. 96(15_supplement). 1 indexed citations
14.
Koh, Kishin, Yuta Ichinose, Hiroyuki Ishiura, et al.. (2018). PLA2G6-associated neurodegeneration presenting as a complicated form of hereditary spastic paraplegia. Journal of Human Genetics. 64(1). 55–59. 17 indexed citations
15.
Kimura, Yukio, Noriko Sato, Miho Ota, et al.. (2018). Brain abnormalities in myalgic encephalomyelitis/chronic fatigue syndrome: Evaluation by diffusional kurtosis imaging and neurite orientation dispersion and density imaging. Journal of Magnetic Resonance Imaging. 49(3). 818–824. 20 indexed citations
16.
Kimura, Kimitoshi, Hirohiko Hohjoh, Masashi Fukuoka, et al.. (2017). Circulating exosomes suppress the induction of regulatory T cells via let-7i in multiple sclerosis. Nature Communications. 9(1). 17–17. 188 indexed citations
17.
Araki, M., Masakazu Nakamura, Wakiro Sato, Yuji Takahashi, & Takashi Yamamura. (2017). Potential benefits of the anti-IL-6 receptor antibody tocilizumab in multiple sclerosis patients with high plasmablast frequency. Journal of the Neurological Sciences. 381. 131–131. 4 indexed citations
18.
Raveney, Ben J. E., Shinji Oki, Hirohiko Hohjoh, et al.. (2015). Eomesodermin-expressing T-helper cells are essential for chronic neuroinflammation. Nature Communications. 6(1). 8437–8437. 87 indexed citations
19.
Miyake, Sachiko, Sangwan Kim, Wataru Suda, et al.. (2015). Dysbiosis in the Gut Microbiota of Patients with Multiple Sclerosis, with a Striking Depletion of Species Belonging to Clostridia XIVa and IV Clusters. PLoS ONE. 10(9). e0137429–e0137429. 593 indexed citations breakdown →
20.
Takenouchi, Toshiki, Wakiro Sato, Chiharu Torii, & Kenjiro Kosaki. (2014). Progressive cognitive decline in an adult patient with cleidocranial dysplasia. European Journal of Medical Genetics. 57(7). 319–321. 20 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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