Tadashi Matsuda

17.7k total citations · 5 hit papers
276 papers, 14.6k citations indexed

About

Tadashi Matsuda is a scholar working on Immunology, Oncology and Molecular Biology. According to data from OpenAlex, Tadashi Matsuda has authored 276 papers receiving a total of 14.6k indexed citations (citations by other indexed papers that have themselves been cited), including 120 papers in Immunology, 100 papers in Oncology and 84 papers in Molecular Biology. Recurrent topics in Tadashi Matsuda's work include Cytokine Signaling Pathways and Interactions (77 papers), NF-κB Signaling Pathways (38 papers) and T-cell and B-cell Immunology (36 papers). Tadashi Matsuda is often cited by papers focused on Cytokine Signaling Pathways and Interactions (77 papers), NF-κB Signaling Pathways (38 papers) and T-cell and B-cell Immunology (36 papers). Tadashi Matsuda collaborates with scholars based in Japan, United States and Norway. Tadashi Matsuda's co-authors include Tadamitsu Kishimoto, Toshio Hirano, Tetsuya Taga, Ryuta Muromoto, Koichi Nakajima, Atsushi Muraguchi, Yuichi Sekine, Tetsuya Yamamoto, Bo Tang and Kenji Oritani and has published in prestigious journals such as Nature, Journal of Biological Chemistry and The Journal of Experimental Medicine.

In The Last Decade

Tadashi Matsuda

267 papers receiving 14.3k citations

Hit Papers

Complementary DNA for a novel human interleukin (BSF-2) t... 1986 2026 1999 2012 1986 1988 1989 1988 1988 500 1000 1.5k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tadashi Matsuda Japan 52 5.2k 5.0k 4.8k 1.6k 1.4k 276 14.6k
Michael A. Palladino United States 63 7.8k 1.5× 7.4k 1.5× 3.5k 0.7× 1.4k 0.9× 1.7k 1.2× 218 18.4k
Valeria Poli Italy 66 5.0k 1.0× 6.1k 1.2× 5.1k 1.1× 716 0.4× 2.1k 1.5× 148 16.0k
Simon A. Jones United Kingdom 66 7.9k 1.5× 3.7k 0.7× 5.1k 1.1× 694 0.4× 1.3k 0.9× 160 16.7k
Emilio Hirsch Italy 73 5.4k 1.0× 9.6k 1.9× 2.9k 0.6× 1.3k 0.8× 1.5k 1.0× 297 19.0k
Austin Gurney United States 57 7.2k 1.4× 8.9k 1.8× 5.4k 1.1× 2.0k 1.2× 2.9k 2.0× 98 19.9k
Hiroki Yoshida Japan 54 5.6k 1.1× 7.1k 1.4× 4.4k 0.9× 585 0.4× 2.4k 1.7× 278 16.1k
Masaaki Murakami Japan 49 5.5k 1.1× 3.3k 0.7× 3.6k 0.7× 690 0.4× 899 0.6× 221 12.8k
Sirpa Jalkanen Finland 76 5.4k 1.1× 7.7k 1.6× 3.1k 0.6× 645 0.4× 823 0.6× 372 17.9k
Matthias Ernst Australia 68 5.6k 1.1× 5.6k 1.1× 5.7k 1.2× 548 0.3× 2.0k 1.4× 220 15.2k
Angela Santoni Italy 73 12.2k 2.4× 5.2k 1.0× 5.2k 1.1× 1.2k 0.7× 1.3k 0.9× 406 19.9k

Countries citing papers authored by Tadashi Matsuda

Since Specialization
Citations

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

Fields of papers citing papers by Tadashi Matsuda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tadashi Matsuda

This figure shows the co-authorship network connecting the top 25 collaborators of Tadashi Matsuda. A scholar is included among the top collaborators of Tadashi Matsuda 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 Tadashi Matsuda. Tadashi Matsuda 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.
Yamamoto, Kazuki, Ken Takashima, Ryuta Muromoto, et al.. (2025). A selective RPL15 PROTAC degrader enhances anti-PD-1 immunotherapy in a murine melanoma tumor model. Oncogene. 44(50). 4846–4854.
3.
Kitai, Yuichi, et al.. (2024). Potential of targeting signal-transducing adaptor protein-2 in cancer therapeutic applications. SHILAP Revista de lepidopterología. 5(2). 251–259.
4.
Matsuda, Tadashi, et al.. (2024). The Atypical Dual Specificity Phosphatase DUSP15 Regulates Jak1-Mediated STAT3 Activation. Biological and Pharmaceutical Bulletin. 47(9). 1487–1493. 1 indexed citations
5.
Matsuda, Tadashi, et al.. (2024). Tyrosinase regulates the motility of human melanoma cell line A375 through its hydroxylase enzymatic activity. Biochemical and Biophysical Research Communications. 707. 149785–149785. 5 indexed citations
6.
Sekine, Yuichi, et al.. (2023). Potential therapeutic applications of targeting signal-transducing adaptor protein-2 in autoimmune diseases. SHILAP Revista de lepidopterología. 3(6). 604–612.
7.
Ose, Toyoyuki, Yuichi Kitai, Ryuta Muromoto, et al.. (2023). STAP-2–Derived Peptide Suppresses TCR-Mediated Signals to Initiate Immune Responses. The Journal of Immunology. 211(5). 755–766. 2 indexed citations
8.
Kashiwakura, Jun‐ichi, Yuichi Sekine, Yuichi Kitai, et al.. (2022). STAP-2 Is a Novel Positive Regulator of TCR-Proximal Signals. The Journal of Immunology. 209(1). 57–68. 8 indexed citations
9.
Yamada, Shunsuke, Yuichi Kitai, Takashi Tadokoro, et al.. (2022). Identification of RPL15 60S Ribosomal Protein as a Novel Topotecan Target Protein That Correlates with DAMP Secretion and Antitumor Immune Activation. The Journal of Immunology. 209(1). 171–179. 11 indexed citations
10.
Muromoto, Ryuta, et al.. (2022). Regulation of NFKBIZ gene promoter activity by STAT3, C/EBPβ, and STAT1. Biochemical and Biophysical Research Communications. 613. 61–66. 8 indexed citations
11.
Kitai, Yuichi, Jun‐ichi Kashiwakura, Ryuta Muromoto, et al.. (2021). Positive interactions between STAP-1 and BCR-ABL influence chronic myeloid leukemia cell proliferation and survival. Biochemical and Biophysical Research Communications. 556. 185–191. 8 indexed citations
12.
Ichii, Michiko, Kenji Oritani, Hirohiko Shibayama, et al.. (2020). Signal-transducing adapter protein-1 is required for maintenance of leukemic stem cells in CML. Oncogene. 39(34). 5601–5615. 13 indexed citations
13.
Muromoto, Ryuta, Tomohiro Matsumoto, Yuichi Kitai, et al.. (2020). The mechanism of Tyk2 deficiency-induced immunosuppression in mice involves robust IL-10 production in macrophages. Cytokine. 130. 155077–155077. 10 indexed citations
14.
Muromoto, Ryuta, Yuichi Kitai, Jun‐ichi Kashiwakura, et al.. (2019). IκB-ζ Expression Requires Both TYK2/STAT3 Activity and IL-17–Regulated mRNA Stabilization. ImmunoHorizons. 3(5). 172–185. 18 indexed citations
15.
Muromoto, Ryuta, et al.. (2016). IL-17A plays a central role in the expression of psoriasis signature genes through the induction of IκB-ζ in keratinocytes. International Immunology. 28(9). 443–452. 58 indexed citations
16.
Nagakawa, Osamu, Jun Murata, Akira Junicho, et al.. (2002). Vasoactive intestinal peptide (VIP) enhances the cell motility of androgen receptor-transfected DU-145 prostate cancer cells (DU-145/AR). Cancer Letters. 176(1). 93–99. 6 indexed citations
17.
Jin, Zhe-Xiong, et al.. (2002). Lymphoid Enhancer-Binding Factor-1 Binds and Activates the Recombination-Activating Gene-2 Promoter Together with c-Myb and Pax-5 in Immature B Cells. The Journal of Immunology. 169(7). 3783–3792. 44 indexed citations
18.
Cho, Kazutoshi, Tadashi Matsuda, Yoshinori Matsumoto, et al.. (2000). Prediction of Respiratory Distress Syndrome by the Level of Pulmonary Surfactant Protein A in Cord Blood Sera. Neonatology. 77(2). 83–87. 12 indexed citations
20.
Matsuda, Tadashi & T Hirano. (1991). [Interleukin-6 and its receptor].. PubMed. 36(7). 1184–94. 42 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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