Katsuya Suzuki

6.8k total citations
281 papers, 4.8k citations indexed

About

Katsuya Suzuki is a scholar working on Rheumatology, Immunology and Physiology. According to data from OpenAlex, Katsuya Suzuki has authored 281 papers receiving a total of 4.8k indexed citations (citations by other indexed papers that have themselves been cited), including 56 papers in Rheumatology, 55 papers in Immunology and 43 papers in Physiology. Recurrent topics in Katsuya Suzuki's work include Systemic Lupus Erythematosus Research (23 papers), Immune Cell Function and Interaction (20 papers) and T-cell and B-cell Immunology (20 papers). Katsuya Suzuki is often cited by papers focused on Systemic Lupus Erythematosus Research (23 papers), Immune Cell Function and Interaction (20 papers) and T-cell and B-cell Immunology (20 papers). Katsuya Suzuki collaborates with scholars based in Japan, United States and Canada. Katsuya Suzuki's co-authors include Tsutomu Takeuchi, Keiko Yoshimoto, Kunihiro Yamaoka, Hidekata Yasuoka, Tsutomu Takagi, Yuko Kaneko, Makoto Bannai, Mitsuhiro Akiyama, Akihiko Yoshimura and Hiroyuki Kato and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Lancet and Journal of Clinical Investigation.

In The Last Decade

Katsuya Suzuki

252 papers receiving 4.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Katsuya Suzuki Japan 36 1.2k 1.2k 867 625 617 281 4.8k
Naoki Maruyama Japan 48 1.1k 0.9× 617 0.5× 2.3k 2.7× 337 0.5× 879 1.4× 364 8.3k
Xuejun Zhang China 40 1.9k 1.6× 447 0.4× 1.6k 1.9× 436 0.7× 388 0.6× 273 5.6k
Hitoshi Sugiyama Japan 48 938 0.8× 436 0.4× 2.5k 2.9× 378 0.6× 620 1.0× 435 8.3k
Liu C United States 54 1.2k 1.0× 1.4k 1.2× 3.8k 4.4× 591 0.9× 971 1.6× 265 8.4k
Göran Andersson Sweden 40 1.2k 1.0× 535 0.5× 3.2k 3.7× 296 0.5× 364 0.6× 187 8.3k
Douglas J. Taatjes United States 46 840 0.7× 486 0.4× 2.4k 2.8× 490 0.8× 727 1.2× 181 5.8k
Hiroshi Gotô Japan 34 362 0.3× 953 0.8× 575 0.7× 878 1.4× 360 0.6× 382 5.4k
Yan Zhang China 44 615 0.5× 674 0.6× 4.4k 5.0× 431 0.7× 470 0.8× 301 7.1k
Salvatore Campo Italy 36 449 0.4× 595 0.5× 1.2k 1.4× 434 0.7× 200 0.3× 152 4.2k
Liang Li China 40 1.2k 1.0× 246 0.2× 1.9k 2.1× 662 1.1× 419 0.7× 261 5.6k

Countries citing papers authored by Katsuya Suzuki

Since Specialization
Citations

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

Fields of papers citing papers by Katsuya Suzuki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Katsuya Suzuki

This figure shows the co-authorship network connecting the top 25 collaborators of Katsuya Suzuki. A scholar is included among the top collaborators of Katsuya Suzuki 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 Katsuya Suzuki. Katsuya Suzuki 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.
Ishigaki, Sho, Katsuya Suzuki, Masaru Takeshita, & Yuko Kaneko. (2025). Identification of BHLHE40 ‐Expressing CD4 + T Cells Producing GM ‐ CSF in Rheumatoid Arthritis. International Journal of Rheumatic Diseases. 28(4). e70219–e70219.
2.
Takaoka, Hiroyuki, Takashi Hiraga, Y. Noguchi, et al.. (2025). Computed tomography for diagnosis of tiny acute myocardial infarction with microvascular obstruction. The International Journal of Cardiovascular Imaging. 42(3). 479–481.
3.
Inamo, Jun, Akari Suzuki, Mahoko Takahashi Ueda, et al.. (2024). Long-read sequencing for 29 immune cell subsets reveals disease-linked isoforms. Nature Communications. 15(1). 4285–4285. 10 indexed citations
4.
Sasaki, Haruka, Hiroyuki Takaoka, Moe Matsumoto, et al.. (2024). Preoperative mitral valve annulus area size is an important factor in avoiding functional mitral stenosis after mitral valve repair. Journal of Echocardiography. 23(2). 123–132.
5.
6.
Kawase, Tomoyuki, et al.. (2023). Optimized Protocol for Preservation of Human Platelet Samples for Fluorometric Polyphosphate Quantification. Methods and Protocols. 6(4). 59–59.
7.
Sasaki, Haruka, Hiroyuki Takaoka, Kazuki Yoshida, et al.. (2023). Aortic Valve Perforation Inducing Severe Aortic Valve Regurgitation in a Patient With Takayasu Arteritis. Circulation Journal. 87(8). 1143–1143. 1 indexed citations
8.
9.
Matsumoto, Kotaro, et al.. (2022). Longitudinal monitoring of circulating immune cell phenotypes in large vessel vasculitis. Autoimmunity Reviews. 21(10). 103160–103160. 4 indexed citations
10.
11.
Sakai, Ryota, Minako Ito, Keiko Yoshimoto, et al.. (2020). Tocilizumab monotherapy uncovered the role of the CCL22/17‐CCR4+ Treg axis during remission of crescentic glomerulonephritis. Clinical & Translational Immunology. 9(11). e1203–e1203. 15 indexed citations
12.
Mori, Hiromitsu, et al.. (2019). A Concise, Catalyst-Free Synthesis of Davis’ Oxaziridines using Sodium Hypochlorite. SynOpen. 3(1). 21–25. 6 indexed citations
13.
Tsukamoto, Miyo, Katsuya Suzuki, Nathalie Séta, & Tsutomu Takeuchi. (2017). FRI0401 Initial manifestation determines clinical entity and course in patients with anti-centromere antibody: a single center longitudinal retrospective cohort study. Annals of the Rheumatic Diseases. 76. 639–639.
14.
Tokuhira, Michihide, Shuntaro Saito, Ayumi Okuyama, et al.. (2017). Impact of the Duration of Methotrexate Administration and the Specific HLA Alleles on the Regressive Methotrexate-Induced Lymphoproliferative Disorders. Blood. 130. 4024–4024. 1 indexed citations
15.
Nogusa, Yoshihito, et al.. (2014). Combined Supplementation of Carbohydrate, Alanine, and Proline Is Effective in Maintaining Blood Glucose and Increasing Endurance Performance during Long-Term Exercise in Mice. Journal of Nutritional Science and Vitaminology. 60(3). 188–193. 9 indexed citations
16.
Takeuchi, Tsutomu, Katsuya Suzuki, Tsuneo Kondo, Keiko Yoshimoto, & Kensei Tsuzaka. (2012). CD3 ζ defects in systemic lupus erythematosus. Annals of the Rheumatic Diseases. 71. i78–i81. 30 indexed citations
17.
Tsuzaka, Kensei, Kiyono Shiraishi, Yumiko Setoyama, et al.. (2006). DNA Microarray Gene Expression Profile of T Cells with the Splice Variants of TCRζ mRNA Observed in Systemic Lupus Erythematosus. The Journal of Immunology. 176(2). 949–956. 18 indexed citations
18.
Tsuzaka, Kensei, Yumiko Setoyama, Keiko Yoshimoto, et al.. (2005). A Splice Variant of the TCR ζ mRNA Lacking Exon 7 Leads to the Down-Regulation of TCR ζ, the TCR/CD3 Complex, and IL-2 Production in Systemic Lupus Erythematosus T Cells. The Journal of Immunology. 174(6). 3518–3525. 32 indexed citations
19.
Tsuzaka, Kensei, Izumi Fukuhara, Yumiko Setoyama, et al.. (2003). TCRζ mRNA with an Alternatively Spliced 3′-Untranslated Region Detected in Systemic Lupus Erythematosus Patients Leads to the Down-Regulation of TCRζ and TCR/CD3 Complex. The Journal of Immunology. 171(5). 2496–2503. 50 indexed citations
20.
Gruber, Barry L., Mary J. Marchese, Katsuya Suzuki, et al.. (1989). Synovial procollagenase activation by human mast cell tryptase dependence upon matrix metalloproteinase 3 activation.. Journal of Clinical Investigation. 84(5). 1657–1662. 280 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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