Pei‐Suen Tsou

2.6k total citations
56 papers, 1.5k citations indexed

About

Pei‐Suen Tsou is a scholar working on Pathology and Forensic Medicine, Molecular Biology and Immunology. According to data from OpenAlex, Pei‐Suen Tsou has authored 56 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Pathology and Forensic Medicine, 28 papers in Molecular Biology and 28 papers in Immunology. Recurrent topics in Pei‐Suen Tsou's work include Systemic Sclerosis and Related Diseases (31 papers), Mast cells and histamine (11 papers) and Immune Cell Function and Interaction (8 papers). Pei‐Suen Tsou is often cited by papers focused on Systemic Sclerosis and Related Diseases (31 papers), Mast cells and histamine (11 papers) and Immune Cell Function and Interaction (8 papers). Pei‐Suen Tsou collaborates with scholars based in United States, China and United Kingdom. Pei‐Suen Tsou's co-authors include Amr H. Sawalha, Dinesh Khanna, M. Asif Amin, David A. Fox, John Varga, Phillip L. Campbell, Alisa E. Koch, Jeffrey H. Ruth, Richard R. Neubig and Andrew J. Haak and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and The Journal of Immunology.

In The Last Decade

Pei‐Suen Tsou

54 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Pei‐Suen Tsou United States 25 691 522 486 185 183 56 1.5k
Markella Ponticos United Kingdom 24 1.1k 1.6× 474 0.9× 210 0.4× 159 0.9× 150 0.8× 40 2.0k
Neng‐Yu Lin Germany 15 775 1.1× 251 0.5× 225 0.5× 83 0.4× 131 0.7× 40 1.2k
Eiji Muroi Japan 22 397 0.6× 697 1.3× 507 1.0× 289 1.6× 103 0.6× 48 1.6k
Lisa Ma United States 23 493 0.7× 470 0.9× 255 0.5× 86 0.5× 567 3.1× 40 2.1k
Karl Köchert Germany 15 504 0.7× 714 1.4× 572 1.2× 46 0.2× 368 2.0× 26 1.6k
Kazumi Suzukawa Japan 24 705 1.0× 220 0.4× 227 0.5× 60 0.3× 233 1.3× 75 1.6k
Sébastien Le Jan France 18 566 0.8× 376 0.7× 122 0.3× 97 0.5× 124 0.7× 25 1.5k
Kirsi‐Maria Haapasaari Finland 24 674 1.0× 195 0.4× 176 0.4× 184 1.0× 437 2.4× 76 1.5k
Mariko Kashiwagi Japan 18 754 1.1× 292 0.6× 272 0.6× 288 1.6× 157 0.9× 23 1.8k
Noëlynn Oliver United States 25 1.2k 1.8× 234 0.4× 166 0.3× 282 1.5× 114 0.6× 41 2.2k

Countries citing papers authored by Pei‐Suen Tsou

Since Specialization
Citations

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

Fields of papers citing papers by Pei‐Suen Tsou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Pei‐Suen Tsou. 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 Pei‐Suen Tsou. The network helps show where Pei‐Suen Tsou may publish in the future.

Co-authorship network of co-authors of Pei‐Suen Tsou

This figure shows the co-authorship network connecting the top 25 collaborators of Pei‐Suen Tsou. A scholar is included among the top collaborators of Pei‐Suen Tsou 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 Pei‐Suen Tsou. Pei‐Suen Tsou 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.
Wu, Qi, M. Asif Amin, Pei‐Suen Tsou, et al.. (2024). Activation of cytotoxic lymphocytes through CD6 enhances killing of cancer cells. Cancer Immunology Immunotherapy. 73(2). 34–34. 6 indexed citations
2.
O’Reilly, Steven, Pei‐Suen Tsou, & John Varga. (2024). Senescence and tissue fibrosis: opportunities for therapeutic targeting. Trends in Molecular Medicine. 30(12). 1113–1125. 15 indexed citations
3.
Bale, Swarna, Priyanka Verma, Philip F. Hughes, et al.. (2023). Pharmacological inhibition of TAK1 prevents and induces regression of experimental organ fibrosis. JCI Insight. 8(14). 10 indexed citations
4.
Amin, M. Asif, Phillip L. Campbell, Qi Wu, et al.. (2022). Inhibition of bromodomain extraterminal histone readers alleviates skin fibrosis in experimental models of scleroderma. JCI Insight. 7(9). 12 indexed citations
5.
Paul, Souren, Mark H. Kaplan, Dinesh Khanna, et al.. (2022). Centromere defects, chromosome instability, and cGAS-STING activation in systemic sclerosis. Nature Communications. 13(1). 7074–7074. 17 indexed citations
6.
Khanna, Dinesh, et al.. (2022). Functional Characterization of Glycoprotein Nonmetastatic Melanoma Protein B in Scleroderma Fibrosis. Frontiers in Immunology. 13. 814533–814533. 8 indexed citations
7.
Bale, Swarna, Priyanka Verma, Qianqian Wan, et al.. (2022). Gut microbe-derived metabolite trimethylamine N-oxide activates PERK to drive fibrogenic mesenchymal differentiation. iScience. 25(7). 104669–104669. 19 indexed citations
8.
Tsou, Pei‐Suen, et al.. (2021). Genome‐Wide Reduction in Chromatin Accessibility and Unique Transcription Factor Footprints in Endothelial Cells and Fibroblasts in Scleroderma Skin. Arthritis & Rheumatology. 73(8). 1501–1513. 11 indexed citations
9.
Ruth, Jeffrey H., M. Asif Amin, Phillip L. Campbell, et al.. (2021). CD6 is a target for cancer immunotherapy. JCI Insight. 6(5). 34 indexed citations
10.
Shi, Hui, Alex A. Gandhi, Stephanie A. Smith, et al.. (2021). Endothelium-protective, histone-neutralizing properties of the polyanionic agent defibrotide. JCI Insight. 6(17). 28 indexed citations
11.
Tsou, Pei‐Suen, et al.. (2021). Advances in epigenetics in systemic sclerosis: molecular mechanisms and therapeutic potential. Nature Reviews Rheumatology. 17(10). 596–607. 76 indexed citations
12.
He, Ye, et al.. (2019). Inhibition of EZH2 Ameliorates Lupus‐Like Disease in MRL/ lpr Mice. Arthritis & Rheumatology. 71(10). 1681–1690. 46 indexed citations
13.
Tsou, Pei‐Suen, et al.. (2019). Hypomethylation of STAT1 and HLA-DRB1 is associated with type-I interferon-dependent HLA-DRB1 expression in lupus CD8+ T cells. Annals of the Rheumatic Diseases. 78(4). 519–528. 30 indexed citations
14.
Tsou, Pei‐Suen, et al.. (2018). Caffeine inhibits STAT1 signaling and downregulates inflammatory pathways involved in autoimmunity. Clinical Immunology. 192. 68–77. 45 indexed citations
15.
Tsou, Pei‐Suen & Amr H. Sawalha. (2017). Unfolding the pathogenesis of scleroderma through genomics and epigenomics. Journal of Autoimmunity. 83. 73–94. 76 indexed citations
16.
Gladue, Heather, Veronica J. Berrocal, Richard E. Harris, et al.. (2016). A randomized controlled trial of acupressure for the treatment of Raynaud's phenomenon: the difficulty of conducting a trial in Raynaud's phenomenon. Journal of Scleroderma and Related Disorders. 1(2). 226–233. 3 indexed citations
17.
Tsou, Pei‐Suen, Bradley J. Rabquer, Ray A. Ohara, et al.. (2015). Scleroderma dermal microvascular endothelial cells exhibit defective response to pro-angiogenic chemokines. Lara D. Veeken. 55(4). 745–754. 22 indexed citations
18.
Isozaki, Takeo, Jeffrey H. Ruth, M. Asif Amin, et al.. (2014). Fucosyltransferase 1 mediates angiogenesis, cell adhesion and rheumatoid arthritis synovial tissue fibroblast proliferation. Arthritis Research & Therapy. 16(1). R28–R28. 33 indexed citations
19.
Tsou, Pei‐Suen, George A. Zakhem, M. Asif Amin, et al.. (2014). Lipoic acid plays a role in scleroderma: insights obtained from scleroderma dermal fibroblasts. Arthritis Research & Therapy. 16(4). 411–411. 19 indexed citations
20.

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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