Sho Matsumoto

898 total citations
38 papers, 298 citations indexed

About

Sho Matsumoto is a scholar working on Statistics and Probability, Mathematical Physics and Discrete Mathematics and Combinatorics. According to data from OpenAlex, Sho Matsumoto has authored 38 papers receiving a total of 298 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Statistics and Probability, 17 papers in Mathematical Physics and 15 papers in Discrete Mathematics and Combinatorics. Recurrent topics in Sho Matsumoto's work include Random Matrices and Applications (20 papers), Advanced Combinatorial Mathematics (15 papers) and Advanced Algebra and Geometry (14 papers). Sho Matsumoto is often cited by papers focused on Random Matrices and Applications (20 papers), Advanced Combinatorial Mathematics (15 papers) and Advanced Algebra and Geometry (14 papers). Sho Matsumoto collaborates with scholars based in Japan, United States and Canada. Sho Matsumoto's co-authors include Benoı̂t Collins, Jonathan Novak, Takuji Oka, Yuka Harada, Kaoru Takegawa, Masatoshi Goto, Kensuke Furukawa, Tomoyuki Shirai, Masato Wakayama and Juan Diego Urbina and has published in prestigious journals such as Physical Review Letters, Scientific Reports and Gastrointestinal Endoscopy.

In The Last Decade

Sho Matsumoto

35 papers receiving 284 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sho Matsumoto Japan 10 108 90 85 49 44 38 298
Н. В. Цилевич Russia 9 90 0.8× 56 0.6× 138 1.6× 64 1.3× 18 0.4× 29 253
Arvind Ayyer India 10 43 0.4× 70 0.8× 78 0.9× 41 0.8× 15 0.3× 39 195
David J. Grabiner United States 7 118 1.1× 78 0.9× 130 1.5× 58 1.2× 23 0.5× 14 252
Adrian Röllin Singapore 10 184 1.7× 42 0.5× 123 1.4× 19 0.4× 23 0.5× 25 309
Greta Panova United States 10 32 0.3× 177 2.0× 51 0.6× 98 2.0× 120 2.7× 38 352
Akihito Hora Japan 7 100 0.9× 61 0.7× 124 1.5× 89 1.8× 3 0.1× 31 231
Leonid V. Bogachev United Kingdom 12 126 1.2× 19 0.2× 230 2.7× 19 0.4× 65 1.5× 44 376
Zhi‐Xiong Wen China 12 19 0.2× 33 0.4× 227 2.7× 93 1.9× 38 0.9× 56 413
Roger Tribe United Kingdom 11 72 0.7× 16 0.2× 214 2.5× 18 0.4× 74 1.7× 32 364
Gideon Amir Israel 5 306 2.8× 42 0.5× 345 4.1× 46 0.9× 16 0.4× 22 433

Countries citing papers authored by Sho Matsumoto

Since Specialization
Citations

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

Fields of papers citing papers by Sho Matsumoto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sho Matsumoto

This figure shows the co-authorship network connecting the top 25 collaborators of Sho Matsumoto. A scholar is included among the top collaborators of Sho Matsumoto 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 Sho Matsumoto. Sho Matsumoto 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.
Shinohara, Keisuke, Sho Matsumoto, Ryosuke Nakashima, et al.. (2024). Establishment of a HFpEF model using female Dahl salt-sensitive rats: a valuable tool for elucidating the pathophysiology of HFpEF in women. Hypertension Research. 48(2). 672–680. 3 indexed citations
2.
Ikeda, Shota, Keisuke Shinohara, Sho Matsumoto, et al.. (2024). Esaxerenone: blood pressure reduction and cardiorenal protection without reflex sympathetic activation in salt-loaded stroke-prone spontaneously hypertensive rats. Hypertension Research. 47(8). 2133–2143. 2 indexed citations
3.
Matsumoto, Sho, et al.. (2023). Moments of Random Quantum Marginals via Weingarten Calculus. International Mathematics Research Notices. 2023(22). 19306–19339. 1 indexed citations
4.
Shinohara, Keisuke, Sho Matsumoto, Daisuke Yoshida, et al.. (2022). Contribution of afferent renal nerve signals to acute and chronic blood pressure regulation in stroke-prone spontaneously hypertensive rats. Hypertension Research. 46(1). 268–279. 9 indexed citations
5.
Takahashi, Masato, Shoichiro Ohtani, Shigenori E. Nagai, et al.. (2020). The efficacy and safety of pertuzumab plus trastuzumab and docetaxel as a first-line therapy in Japanese patients with inoperable or recurrent HER2-positive breast cancer: the COMACHI study. Breast Cancer Research and Treatment. 185(1). 125–134. 7 indexed citations
6.
Matsukawa, Ryuichi, et al.. (2019). Plaque modification using a cutting balloon is more effective for stenting of heavily calcified lesion than other scoring balloons. Cardiovascular Intervention and Therapeutics. 34(4). 325–334. 17 indexed citations
7.
Matsumoto, Sho. (2018). A Spin Analogue of Kerov Polynomials. Symmetry Integrability and Geometry Methods and Applications. 3 indexed citations
8.
Matsumoto, Sho & Jonathan Novak. (2018). A moment method for invariant ensembles. 25(0). 60–71. 3 indexed citations
9.
Urbina, Juan Diego, et al.. (2016). Multiparticle Correlations in Mesoscopic Scattering: Boson Sampling, Birthday Paradox, and Hong-Ou-Mandel Profiles. Physical Review Letters. 116(10). 100401–100401. 16 indexed citations
10.
Sato, Jun, Toshihide Sato, Yuji Nakagawa, et al.. (2014). CHALLENGES IN THE DIFFUSION OF RECYCLED PHOSPHORUS FROM SEWAGE SYSTEMS IN JAPAN. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 11(0). 108–118. 1 indexed citations
11.
Collins, Benoı̂t, et al.. (2014). Integration of invariant matrices and moments of inverses of Ginibre and Wishart matrices. Journal of Multivariate Analysis. 126. 1–13. 4 indexed citations
12.
Matsumoto, Sho & Jonathan Novak. (2009). Symmetric Polynomials in Jucys-Murphy Elements and the Weingarten Function. arXiv (Cornell University). 4 indexed citations
13.
Goto, Masatoshi, Yuka Harada, Takuji Oka, et al.. (2009). Protein O -Mannosyltransferases B and C Support Hyphal Development and Differentiation in Aspergillus nidulans. Eukaryotic Cell. 8(10). 1465–1474. 38 indexed citations
14.
Collins, Benoı̂t & Sho Matsumoto. (2009). On some properties of orthogonal Weingarten functions. Journal of Mathematical Physics. 50(11). 33 indexed citations
15.
16.
Matsumoto, Sho. (2007). Hyperdeterminantal expressions for Jack functions of rectangular shapes. Journal of Algebra. 320(2). 612–632. 9 indexed citations
17.
Matsumoto, Sho. (2007). Moments of characteristic polynomials for compact symmetric spaces and Jack polynomials. Journal of Physics A Mathematical and Theoretical. 40(45). 13567–13586. 8 indexed citations
18.
Matsumoto, Sho. (2006). Two parameters circular ensembles and Jacobi-Trudi type formulas for Jack functions of rectangular shapes. arXiv (Cornell University). 2 indexed citations
19.
Matsumoto, Sho. (2005). Correlation functions of the shifted Schur measure. Journal of the Mathematical Society of Japan. 57(3). 13 indexed citations
20.
Matsumoto, Sho. (2005). α-Pfaffian, pfaffian point process and shifted Schur measure. Linear Algebra and its Applications. 403. 369–398. 6 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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