So Matsui

1.4k total citations · 1 hit paper
8 papers, 1.2k citations indexed

About

So Matsui is a scholar working on Immunology, Surgery and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, So Matsui has authored 8 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Immunology, 2 papers in Surgery and 1 paper in Cardiology and Cardiovascular Medicine. Recurrent topics in So Matsui's work include T-cell and B-cell Immunology (5 papers), Immune Cell Function and Interaction (5 papers) and Immunotherapy and Immune Responses (3 papers). So Matsui is often cited by papers focused on T-cell and B-cell Immunology (5 papers), Immune Cell Function and Interaction (5 papers) and Immunotherapy and Immune Responses (3 papers). So Matsui collaborates with scholars based in United States, Malaysia and Germany. So Matsui's co-authors include Jay A. Berzofsky, Masaki Terabe, William E. Paul, Debra D. Donaldson, Nancy Noben-Trauth, David P. Carbone, L. Cynthia Watson, Jeffrey D. Ahlers, Steven Ledbetter and Sharon M. Wahl and has published in prestigious journals such as The Journal of Experimental Medicine, Nature Immunology and The Journal of Immunology.

In The Last Decade

So Matsui

6 papers receiving 1.2k citations

Hit Papers

NKT cell–mediated repression of tumor immunosurveillance ... 2000 2026 2008 2017 2000 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
So Matsui United States 6 1.1k 451 171 52 42 8 1.2k
Panu E. Kovanen Finland 8 931 0.9× 398 0.9× 142 0.8× 97 1.9× 45 1.1× 13 1.2k
Chun‐Jen J. Chen New Zealand 11 936 0.9× 283 0.6× 256 1.5× 75 1.4× 24 0.6× 15 1.1k
Jozef Borvak United States 8 673 0.6× 363 0.8× 274 1.6× 93 1.8× 58 1.4× 8 995
Cecilia Rietz United States 9 611 0.6× 694 1.5× 178 1.0× 40 0.8× 44 1.0× 13 973
György Stuber Sweden 14 468 0.4× 334 0.7× 149 0.9× 141 2.7× 35 0.8× 22 716
H. Robson MacDonald Switzerland 16 941 0.9× 225 0.5× 150 0.9× 54 1.0× 28 0.7× 30 1.1k
Johan W. Molling Netherlands 12 805 0.8× 398 0.9× 88 0.5× 122 2.3× 38 0.9× 14 936
Christopher J. Chan Australia 10 1.0k 1.0× 482 1.1× 126 0.7× 61 1.2× 15 0.4× 12 1.2k
Jean‐Paul Rivals Switzerland 12 774 0.7× 461 1.0× 186 1.1× 81 1.6× 17 0.4× 16 1.1k
Fengrong Ma China 3 605 0.6× 511 1.1× 123 0.7× 52 1.0× 13 0.3× 4 862

Countries citing papers authored by So Matsui

Since Specialization
Citations

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

Fields of papers citing papers by So Matsui

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of So Matsui

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

All Works

8 of 8 papers shown
1.
Nishio, Kenji, et al.. (2022). Surgical risk assessment for super‐elderly patients. Geriatrics and gerontology international. 22(4). 271–277. 5 indexed citations
2.
Matsui, So, et al.. (2013). A case of intestinal malrotation in an adult in whom bowel congestion due to an abnormal ligament was diagnosed preoperatively. Nihon Rinsho Geka Gakkai Zasshi (Journal of Japan Surgical Association). 74(1). 87–91.
3.
Sasaki, Kazuya, et al.. (2013). A Case of Incarcerated Morgagni Foramen Hernia Developed in a 97-year-old Man. Nihon Rinsho Geka Gakkai Zasshi (Journal of Japan Surgical Association). 74(6). 1467–1472.
4.
Terabe, Masaki, So Matsui, Mizuko Mamura, et al.. (2003). Transforming Growth Factor-β Production and Myeloid Cells Are an Effector Mechanism through Which CD1d-restricted T Cells Block Cytotoxic T Lymphocyte–mediated Tumor Immunosurveillance. The Journal of Experimental Medicine. 198(11). 1741–1752. 439 indexed citations
5.
Ahlers, Jeffrey D., Igor M. Belyakov, So Matsui, & Jay A. Berzofsky. (2001). Mechanisms of cytokine synergy essential for vaccine protection against viral challenge. International Immunology. 13(7). 897–908. 71 indexed citations
6.
Ahlers, Jeffrey D., Igor M. Belyakov, So Matsui, & Jay A. Berzofsky. (2001). Signals delivered through TCR instruct IL-12 receptor (IL-12R) expression: IL-12 and tumor necrosis factor-α synergize for IL-12R expression at low antigen dose. International Immunology. 13(11). 1433–1442. 26 indexed citations
7.
Terabe, Masaki, So Matsui, Nancy Noben-Trauth, et al.. (2000). NKT cell–mediated repression of tumor immunosurveillance by IL-13 and the IL-4R–STAT6 pathway. Nature Immunology. 1(6). 515–520. 559 indexed citations breakdown →
8.
Matsui, So, Jeffrey D. Ahlers, Masaki Terabe, et al.. (1999). A Model for CD8+ CTL Tumor Immunosurveillance and Regulation of Tumor Escape by CD4 T Cells Through an Effect on Quality of CTL. The Journal of Immunology. 163(1). 184–193. 82 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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