T. Matsuyama

15.2k total citations · 5 hit papers
206 papers, 12.2k citations indexed

About

T. Matsuyama is a scholar working on Immunology, Molecular Biology and Electrical and Electronic Engineering. According to data from OpenAlex, T. Matsuyama has authored 206 papers receiving a total of 12.2k indexed citations (citations by other indexed papers that have themselves been cited), including 68 papers in Immunology, 36 papers in Molecular Biology and 27 papers in Electrical and Electronic Engineering. Recurrent topics in T. Matsuyama's work include Immune Cell Function and Interaction (21 papers), T-cell and Retrovirus Studies (18 papers) and Cytokine Signaling Pathways and Interactions (17 papers). T. Matsuyama is often cited by papers focused on Immune Cell Function and Interaction (21 papers), T-cell and Retrovirus Studies (18 papers) and Cytokine Signaling Pathways and Interactions (17 papers). T. Matsuyama collaborates with scholars based in Japan, Canada and United States. T. Matsuyama's co-authors include Tak W. Mak, Pamela S. Ohashi, Tadatsugu Taniguchi, Thomas M. Kündig, Andrew Wakeham, Tak W. Mak, Klaus Pfeffer, Arda Shahinian, Tohru Kimura and Kenji Kishihara and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

T. Matsuyama

201 papers receiving 11.9k citations

Hit Papers

5 papers align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Mice deficient for the 55 kd tumor necrosis factor receptor are resistant to endotoxic shock, yet succumb to L. monocytogenes infection

1993 1.5k citations T. Matsuyama et al. profile →
The Jmjd3-Irf4 axis regulates M2 macrophage polarization and host responses against helminth infection

2010 926 citations T. Matsuyama, Shizuo Akira et al. profile →
Requirement for Transcription Factor IRF-1 in NO Synthase Induction in Macrophages

1994 727 citations T. Matsuyama, Tohru Kimura et al. profile →
Deregulated T Cell Activation and Autoimmunity in Mice Lacking Interleukin-2 Receptor β

1995 727 citations T. Matsuyama et al. profile →
Targeted disruption of IRF-1 or IRF-2 results in abnormal type I IFN gene induction and aberrant lymphocyte development

1993 566 citations T. Matsuyama, Tohru Kimura et al. profile →

Peers

Countries citing papers authored by T. Matsuyama

Since Specialization

Citations

This map shows the geographic impact of T. Matsuyama'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 T. Matsuyama with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. Matsuyama more than expected).

Fields of papers citing papers by T. Matsuyama

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of T. Matsuyama

This figure shows the co-authorship network connecting the top 25 collaborators of T. Matsuyama. A scholar is included among the top collaborators of T. Matsuyama 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 T. Matsuyama. T. Matsuyama is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	Development of a highly sensitive platform for protein–protein interaction detection and regulation of T cell function 2024 ·Proceedings of the National Academy of Sciences ·Hideki Hayashi, Tak W. Mak, Yoshimasa Tanaka, Yoshinao Kubo, (unknown), (unknown), T. Matsuyama	0
2	Comorbidity-associated glutamine deficiency is a predisposition to severe COVID-19 2021 ·Cell Death and Differentiation ·T. Matsuyama, Steven K. Yoshinaga, Kimitaka Shibue, Tak W. Mak	38
3	Enterokinase Enhances Influenza A Virus Infection by Activating Trypsinogen in Human Cell Lines 2018 ·Frontiers in Cellular and Infection Microbiology ·Hideki Hayashi, Yoshinao Kubo, (unknown), Etsuhisa Takahashi, Hiroshi Kido, Ko Sato, Mutsuo Yamaya, Hidekazu Nishimura, (unknown), T. Matsuyama	12
4	CXCR4-Tropic, But Not CCR5-Tropic, Human Immunodeficiency Virus Infection Is Inhibited by the Lipid Raft-Associated Factors, Acyclic Retinoid Analogs, and Cholera Toxin B Subunit 2012 ·AIDS Research and Human Retroviruses ·(unknown), (unknown), (unknown), (unknown), Yuka Yashima, Yuetsu Tanaka, Hideki Hayashi, T. Matsuyama, Hironori Sato, Naoki Yamamoto, Tetsuro Sano, Yoshihiro Shidoji, Yoshinao Kubo	7
5	Serum Starvation Activates NF-κB Through G Protein β2 Subunit-Mediated Signal 2012 ·DNA and Cell Biology ·Tomoko Kohno, Yoshinao Kubo, Kiyoshi Yasui, (unknown), (unknown), Koon Jiew Chua, T. Matsuyama, Hideki Hayashi	8
6	Characterization of dsRNA-induced pancreatitis model reveals the regulatory role of IFN regulatory factor 2 ( Irf2 ) in trypsinogen5 gene transcription 2011 ·Proceedings of the National Academy of Sciences ·Hideki Hayashi, Tomoko Kohno, Kiyoshi Yasui, Hiroyuki Murota, Tohru Kimura, Gordon S. Duncan, Tomoki Nakashima, Kazuo Yamamoto, (unknown), Yuhua Ma, Koon Jiew Chua, Takashi Suematsu, Isao Shimokawa, Shizuo Akira, Yoshinao Kubo, Tak W. Mak, T. Matsuyama	14
7	Treatment with microemulsified cyclosporine in children with frequently relapsing nephrotic syndrome 2010 ·Nephrology Dialysis Transplantation ·Kenji Ishikura, N. Yoshikawa, S Hattori, Satoshi Sasaki, Kazumoto Iijima, Koichi Nakanishi, T. Matsuyama, Nahoko Yata, Takashi Ando, Masashi Honda, (unknown)	34
8	Aberrant expression of interferon regulatory factor 3 in human lung cancer 2010 ·Biochemical and Biophysical Research Communications ·Takayuki Tokunaga, (unknown), (unknown), Tomoko Kohno, Kiyoshi Yasui, Yuhua Ma, Koon Jiew Chua, Ikuo Katayama, Takashi Nakamura, Yoshitaka Hishikawa, Takehiko Koji, Yasushi Yatabe, Takeshi Nagayasu, Takashi Fujita, T. Matsuyama, Hideki Hayashi	12
9	Escherichia coli contamination of menstrual blood and effect of bacterial endotoxin on endometriosis 2010 ·Fertility and Sterility ·Khaleque Newaz Khan, Michio Kitajima, Koichi Hiraki, Naohiro Yamaguchi, Shigeru Katamine, T. Matsuyama, Masahiro Nakashima, Akira Fujishita, Tadayuki Ishimaru, Hideaki Masuzaki	154
10	Versatile Assays for High Throughput Screening for Activators or Inhibitors of Intracellular Proteases and Their Cellular Regulators 2009 ·PLoS ONE ·Hideki Hayashi, Michael Cuddy, Chih‐Wen Shu, Kenneth W. Yip, (unknown), Paul Diaz, T. Matsuyama, Muneshige Kaibara, Kohtaro Taniyama, Stefan Vasile, Eduard Sergienko, John C. Reed	13
11	Tgat, a Rho-specific guanine nucleotide exchange factor, activates NF-κB via physical association with IκB kinase complexes 2007 ·Biochemical and Biophysical Research Communications ·Kenji Yamada, Ryozo Moriuchi, Tsuyoshi Mori, (unknown), Tomoko Kohno, Takeshi Nagayasu, T. Matsuyama, Shigeru Katamine	7
12	Role of Cyclophilin B in Activation of Interferon Regulatory Factor-3 2005 ·Journal of Biological Chemistry ·Yoko Obata, Kazuo Yamamoto, Masanobu Miyazaki, Kunitada Shimotohno, Shigeru Kohno, T. Matsuyama	40
13	Induction of Macrophage-Inflammatory Protein-3α Gene Expression by TNF-Dependent NF-κB Activation 2002 ·The Journal of Immunology ·(unknown), Tomoko Kohno, Kazuo Yamamoto, Yoshitaka Imaizumi, Hisayoshi Nakajima, Tadayuki Ishimaru, T. Matsuyama	88
14	Possible Involvement of Interferon Regulatory Factor 4 (IRF4) in a Clinical Subtype of Adult T‐Cell Leukemia 2001 ·Japanese Journal of Cancer Research ·Yoshitaka Imaizumi, Tomoko Kohno, Yasuaki Yamada, Shu‐ichi Ikeda, Yuetsu Tanaka, Masao Tomonaga, T. Matsuyama	24
15	Identification of Genes Associated with the Progression of Adult T Cell Leukemia (ATL) 2000 ·Japanese Journal of Cancer Research ·Tomoko Kohno, Ryozo Moriuchi, Shigeru Katamine, Yasuaki Yamada, (unknown), T. Matsuyama	29
16	The transcription factor interferon regulatory factor-1 is essential for natural killer cell function in vivo. 1996 ·The Journal of Experimental Medicine ·G S Duncan, Hans-Willi Mittrücker, David Kägi, T. Matsuyama, Tak W. Mak	106
17	Genetic Analysis of Susceptibility to Radiation-induced Apoptosis of Thymocytes in Mice 1992 ·International Journal of Radiation Biology ·Nobuko Mori, Masaaki Okumoto, Junko Morimoto, Shunsuke Imai, T. Matsuyama, Yasuhiko Takamori, Osamu Yagasaki	22
18	Augmentation of Human Immunodeficiency Virus Type 1 Gene Expression by Tumor Necrosis Factor α 1989 ·AIDS Research and Human Retroviruses ·Takashi Okamoto, T. Matsuyama, Shigehisa Mori, Yoshiaki Hamamoto, Nobuyuki Kobayashi, Naoki Yamamoto, Steven F. Josephs, Flossie Wong‐Staal, Kunitada Shimotohno	92
19	Enhancement of HIV Replication and Giant Cell Formation by Tumor Necrosis Factor 1989 ·AIDS Research and Human Retroviruses ·T. Matsuyama, Hironori Yoshiyama, Yoshiaki Hamamoto, Naoki Yamamoto, Gen‐Ichiro Soma, Den’ichi Mizuno, Nobuyuki Kobayashi	43
20	Contact Urticaria to Hen Egg White Lysozyme Preparations 1985 ·Skin research ·T. Matsuyama, (unknown), Hikotaro Yoshida	1

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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