Michiyuki Matsuda

22.6k total citations · 3 hit papers
304 papers, 18.1k citations indexed

About

Michiyuki Matsuda is a scholar working on Molecular Biology, Cell Biology and Oncology. According to data from OpenAlex, Michiyuki Matsuda has authored 304 papers receiving a total of 18.1k indexed citations (citations by other indexed papers that have themselves been cited), including 170 papers in Molecular Biology, 86 papers in Cell Biology and 42 papers in Oncology. Recurrent topics in Michiyuki Matsuda's work include Protein Kinase Regulation and GTPase Signaling (63 papers), Cellular Mechanics and Interactions (46 papers) and Cell Adhesion Molecules Research (30 papers). Michiyuki Matsuda is often cited by papers focused on Protein Kinase Regulation and GTPase Signaling (63 papers), Cellular Mechanics and Interactions (46 papers) and Cell Adhesion Molecules Research (30 papers). Michiyuki Matsuda collaborates with scholars based in Japan, United States and France. Michiyuki Matsuda's co-authors include Kazuhiro Aoki, Naoki Mochizuki, Kazuo Kurokawa, Takeshi Nakamura, Etsuko Kiyokawa, Yusuke Ohba, Takeshi Kurata, Reina E. Itoh, Yuji Kamioka and Kenta Terai and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Michiyuki Matsuda

301 papers receiving 17.9k citations

Hit Papers

align trajectories sort by overperformance

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.

A Family of cAMP-Binding Proteins That Directly Activate Rap1

1998 1.2k citations Naoki Mochizuki, Michiyuki Matsuda et al. profile →
Interferon-α induction through Toll-like receptors involves a direct interaction of IRF7 with MyD88 and TRAF6

2004 837 citations Kenta Terai, Michiyuki Matsuda et al. profile →
Intravital Imaging Reveals How BRAF Inhibition Generates Drug-Tolerant Microenvironments with High Integrin β1/FAK Signaling

2015 420 citations Michiyuki Matsuda et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Michiyuki Matsuda Japan	67	11.2k	5.2k	2.7k	2.2k	2.1k	304	18.1k
Frank B. Gertler United States	78	9.8k 0.9×	7.9k 1.5×	1.8k 0.7×	2.7k 1.2×	2.2k 1.1×	163	18.9k
John H. Hartwig United States	87	9.7k 0.9×	9.9k 1.9×	3.9k 1.5×	1.1k 0.5×	3.6k 1.7×	234	24.8k
Tomas Kirchhausen United States	92	16.2k 1.4×	12.2k 2.4×	3.5k 1.3×	1.1k 0.5×	1.5k 0.7×	215	25.4k
Kensaku Mizuno Japan	66	8.0k 0.7×	6.2k 1.2×	2.4k 0.9×	1.3k 0.6×	2.0k 0.9×	174	15.3k
Laura M. Machesky United Kingdom	68	7.9k 0.7×	8.8k 1.7×	1.8k 0.7×	1.3k 0.6×	2.9k 1.4×	199	15.9k
Tadaomi Takenawa Japan	72	11.4k 1.0×	10.6k 2.1×	1.2k 0.5×	1.3k 0.6×	3.2k 1.5×	237	19.3k
Robert D. Goldman United States	99	19.8k 1.8×	12.6k 2.4×	1.6k 0.6×	1.8k 0.8×	1.2k 0.6×	287	29.8k
Sandra L. Schmid United States	86	18.4k 1.6×	14.5k 2.8×	2.6k 1.0×	1.0k 0.5×	1.3k 0.6×	182	26.3k
Daniel Louvard France	84	11.9k 1.1×	7.6k 1.5×	1.9k 0.7×	3.2k 1.5×	1.8k 0.9×	223	20.7k
Jeffrey E. Segall United States	59	6.6k 0.6×	4.8k 0.9×	2.4k 0.9×	4.7k 2.2×	1.7k 0.8×	144	14.3k

Countries citing papers authored by Michiyuki Matsuda

Since Specialization

Citations

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

Fields of papers citing papers by Michiyuki Matsuda

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michiyuki Matsuda

This figure shows the co-authorship network connecting the top 25 collaborators of Michiyuki Matsuda. A scholar is included among the top collaborators of Michiyuki 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 Michiyuki Matsuda. Michiyuki Matsuda 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

Matsuda, Michiyuki, et al.. (2025). Live imaging of paracrine signaling: Advances in visualization and tracking techniques. Cell Structure and Function. 50(1). 1–14. 2 indexed citations

Watabe, Tetsuya, Shinya Yamahira, Michiyuki Matsuda, & Kenta Terai. (2023). Visual quantification of prostaglandin E<sub>2</sub> discharge from a single cell. Cell Structure and Function. 48(2). 241–249. 2 indexed citations

Murai, Shin, Kenta Sumiyama, Kenta Moriwaki, et al.. (2022). Generation of transgenic mice expressing a FRET biosensor, SMART, that responds to necroptosis. Communications Biology. 5(1). 1331–1331. 2 indexed citations

Yamamoto, Shinya, Masamichi Yamamoto, Jin Nakamura, et al.. (2020). Spatiotemporal ATP Dynamics during AKI Predict Renal Prognosis. Journal of the American Society of Nephrology. 31(12). 2855–2869. 37 indexed citations

Muta, Yu, Michiyuki Matsuda, & Masamichi Imajo. (2019). Divergent Dynamics and Functions of ERK MAP Kinase Signaling in Development, Homeostasis and Cancer: Lessons from Fluorescent Bioimaging. Cancers. 11(4). 513–513. 25 indexed citations

Sakaue‐Sawano, Asako, Naoki Komatsu, Toru Hiratsuka, et al.. (2017). Genetically Encoded Tools for Optical Dissection of the Mammalian Cell Cycle. Molecular Cell. 68(3). 626–640.e5. 109 indexed citations

Yamauchi, Fumio, Yuji Kamioka, Tetsuya Yano, & Michiyuki Matsuda. (2016). In Vivo FRET Imaging of Tumor Endothelial Cells Highlights a Role of Low PKA Activity in Vascular Hyperpermeability. Cancer Research. 76(18). 5266–5276. 18 indexed citations

Candeias, Marco M., Masatoshi Hagiwara, & Michiyuki Matsuda. (2016). Cancer‐specific mutations in p53 induce the translation of Δ160p53 promoting tumorigenesis. EMBO Reports. 17(11). 1542–1551. 46 indexed citations

Fujita, Yoshihisa, Naoki Komatsu, Michiyuki Matsuda, & Kazuhiro Aoki. (2014). Fluorescence resonance energy transfer based quantitative analysis of feedforward and feedback loops in epidermal growth factor receptor signaling and the sensitivity to molecular targeting drugs. FEBS Journal. 281(14). 3177–3192. 21 indexed citations

10.

Goto, Akihiro, Kenta Sumiyama, Yuji Kamioka, et al.. (2013). GDNF and Endothelin 3 Regulate Migration of Enteric Neural Crest-Derived Cells via Protein Kinase A and Rac1. Journal of Neuroscience. 33(11). 4901–4912. 37 indexed citations

11.

Matsuda, Michiyuki, et al.. (2010). Real-time Fluorescent Resonance Energy Transfer Analysis to Monitor Drug Resistance in Chronic Myelogenous Leukemia. Molecular Cancer Therapeutics. 9(11). 3065–3073. 18 indexed citations

12.

Aoki, Kazuhiro, et al.. (2010). Ras and Calcium Signaling Pathways Converge at Raf1 via the Shoc2 Scaffold Protein. Molecular Biology of the Cell. 21(6). 1088–1096. 33 indexed citations

13.

Lu, Albert, Francesc Tebar, Blanca Alvarez-Moya, et al.. (2009). A clathrin-dependent pathway leads to KRas signaling on late endosomes en route to lysosomes. The Journal of Cell Biology. 184(6). 863–879. 100 indexed citations

14.

Omi, Natsue, Etsuko Kiyokawa, Michiyuki Matsuda, et al.. (2008). Mutation of Dock5, a member of the guanine exchange factor Dock180 superfamily, in the rupture of lens cataract mouse. Experimental Eye Research. 86(5). 828–834. 22 indexed citations

15.

Yoshizaki, Hisayoshi, Yusuke Ohba, Kazuo Kurokawa, et al.. (2003). Activity of Rho-family GTPases during cell division as visualized with FRET-based probes. The Journal of Cell Biology. 162(2). 223–232. 349 indexed citations

16.

Tobiume, Minoru, Koichi Ishikawa, William Ampofo, et al.. (2001). Infectious DNA Clone of HIV Type 1 A/G Recombinant (CRF02_AG) Replicable in Peripheral Blood Mononuclear Cells. AIDS Research and Human Retroviruses. 17(11). 1083–1087. 13 indexed citations

17.

Matsumoto, Tarô, Koutaro Yokote, Minoru Takemoto, et al.. (2000). Differential Interaction of CrkII Adaptor Protein with Platelet-Derived Growth Factor α- and β-Receptors Is Determined by Its Internal Tyrosine Phosphorylation. Biochemical and Biophysical Research Communications. 270(1). 28–33. 15 indexed citations

18.

Kato, Kazuya, et al.. (1995). An Ultrasonically Powered Instrument for Laparoscopic Surgery: A Brief Technical Report of Preliminary Success. Journal of Laparoendoscopic Surgery. 5(1). 31–36. 6 indexed citations

19.

Sobue, Tomotaka, Toru Suzuki, Takeshi Horai, Michiyuki Matsuda, & Isaburo Fujimoto. (1988). Relationship between Cigarette Smoking and Histologic Type of Lung Cancer, with Special Reference to Sex Difference. Japanese Journal of Clinical Oncology. 18(1). 3–13. 24 indexed citations

20.

Matsuda, Michiyuki, J. Jagur‐Grodzinski, & M. Szwarc. (1965). Chemistry of radical ions: the absolute rate constant of dimerization of radical anions of 1 ,1-diphenyl ethylene. Proceedings of the Royal Society of London A Mathematical and Physical Sciences. 288(1413). 212–223. 13 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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