Ryota Sakai

1.8k citations
33 papers · 1.1k · 1 hit paper · h-index 16

Impact in

Papers in

Ryota Sakai

32 papers receiving 1.1k citations

Ryota Sakai's Hit Papers

Brain regulatory T cells suppress astrogliosis and potentiate neurological recovery 2018 · 529 citations
5290+2+5Years since publication100200300400500

Peers

Ryota Sakai
Comparison fields: 5 of 89
  • Neurology 285
  • Biological Psychiatry 55
  • Immunology 393
  • Rheumatology 160
  • Developmental Neuroscience 40
Replace Guangyou Wang with:
Guangyou Wang China
Dawn Z. Eichenfield United States
Christopher Harp United States
Rodrigo Naves Chile
Christopher Ferrante United States
Anny‐Claude Luissint United States
Patricia A. Nelson United States
Maria Semitekolou Greece
Fanqi Kong China
Stephan Schäfer Germany
Ryota Sakai relative to Guangyou Wang China Guangyou Wang's profile →
Citations per field
00.5×2.9×
Guangyou Wang · 1×
Citations per year

Countries citing papers authored by Ryota Sakai

Since Specialization
Citations

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

Fields of papers citing papers by Ryota Sakai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Ryota Sakai, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Ryota Sakai Line = papers co-authored together Ryota Sakai links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Brain regulatory T cells suppress astrogliosis and potentiate neurological recovery
Hit paper breakdown →
2018529
2 201642
3 201037
4 200635
5 201834
6 201733
7 201233
8 200831
9 202031
10 201928
11 201926
12 201225
13 200824
14 201717
15 201916
16 201616
17 202015
18 201311
19 201210
20 202210

About Ryota Sakai

Ryota Sakai is a scholar working on Rheumatology, Pulmonary and Respiratory Medicine, Genetics, Immunology and Molecular Biology, having authored 33 papers that have together received 1.1k indexed citations. Recurring topics across this work include Vasculitis and related conditions (9 papers), Systemic Lupus Erythematosus Research (6 papers), Chronic Lymphocytic Leukemia Research (5 papers), Renal Diseases and Glomerulopathies (5 papers), Otitis Media and Relapsing Polychondritis (4 papers), Immune Cell Function and Interaction (4 papers), Urticaria and Related Conditions (3 papers) and Coagulation, Bradykinin, Polyphosphates, and Angioedema (3 papers). The work is most often cited by research in Neurology (285 citations), Biological Psychiatry (55 citations), Immunology (393 citations), Rheumatology (160 citations) and Developmental Neuroscience (40 citations). Ryota Sakai has collaborated with scholars based in Japan, United States and China. Frequent co-authors include Akihiko Yoshimura, Minako Ito, Kyoko Komai, Mana Iizuka-Koga, Shunsuke Chikuma, Taisuke Kondo, Takashi Nakayama, Kazuhiko Matsuo, Osamu Yoshie and Yoshiko Noguchi. Their work appears in journals such as Modern Rheumatology, Clinical Rheumatology, Cellular and Molecular Immunology, Yeast and Journal of Biotechnology.

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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