Supinya Iamsawat

560 total citations
19 papers, 372 citations indexed

About

Supinya Iamsawat is a scholar working on Immunology, Oncology and Hematology. According to data from OpenAlex, Supinya Iamsawat has authored 19 papers receiving a total of 372 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Immunology, 7 papers in Oncology and 5 papers in Hematology. Recurrent topics in Supinya Iamsawat's work include Immune Cell Function and Interaction (7 papers), T-cell and B-cell Immunology (6 papers) and Hematopoietic Stem Cell Transplantation (4 papers). Supinya Iamsawat is often cited by papers focused on Immune Cell Function and Interaction (7 papers), T-cell and B-cell Immunology (6 papers) and Hematopoietic Stem Cell Transplantation (4 papers). Supinya Iamsawat collaborates with scholars based in United States, China and Taiwan. Supinya Iamsawat's co-authors include Xue‐Zhong Yu, Anusara Daenthanasanmak, David Bastian, Hung Nguyen, Chen Liu, Shikhar Mehrotra, Yongxia Wu, Paramita Chakraborty, Jessica Voss and Steven Schutt and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Investigation and Blood.

In The Last Decade

Supinya Iamsawat

19 papers receiving 369 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Supinya Iamsawat United States 10 199 105 105 97 53 19 372
Rong Fu China 10 161 0.8× 123 1.2× 78 0.7× 89 0.9× 29 0.5× 30 369
Maryse Dupouy France 7 63 0.3× 148 1.4× 131 1.2× 64 0.7× 47 0.9× 12 352
Masakazu Sawanobori Japan 9 80 0.4× 97 0.9× 166 1.6× 46 0.5× 44 0.8× 17 357
Eui-Jong Kwon South Korea 3 112 0.6× 115 1.1× 43 0.4× 73 0.8× 18 0.3× 7 365
Diederik van Bodegom United States 7 57 0.3× 185 1.8× 40 0.4× 101 1.0× 42 0.8× 10 360
Zhao Yang Lu France 6 183 0.9× 79 0.8× 52 0.5× 158 1.6× 29 0.5× 8 351
Andrew C. Palfreeman United Kingdom 8 312 1.6× 124 1.2× 68 0.6× 87 0.9× 28 0.5× 8 497
Nicoletta Arduino Italy 11 201 1.0× 93 0.9× 45 0.4× 76 0.8× 31 0.6× 14 371
Stephanie Nguyen Australia 7 123 0.6× 106 1.0× 44 0.4× 78 0.8× 31 0.6× 17 312

Countries citing papers authored by Supinya Iamsawat

Since Specialization
Citations

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

Fields of papers citing papers by Supinya Iamsawat

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Supinya Iamsawat

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

All Works

19 of 19 papers shown
1.
Iamsawat, Supinya, Sohee Kim, Nina Dvorina, et al.. (2024). Single-Cell Analysis Uncovers Striking Cellular Heterogeneity of Lung-Infiltrating Regulatory T Cells during Eosinophilic versus Neutrophilic Allergic Airway Inflammation. The Journal of Immunology. 212(12). 1867–1876. 2 indexed citations
2.
3.
Nguyen, Quang Tam, Dongkyun Kim, Supinya Iamsawat, et al.. (2021). Cutting Edge: Steroid Responsiveness in Foxp3+ Regulatory T Cells Determines Steroid Sensitivity during Allergic Airway Inflammation in Mice. The Journal of Immunology. 207(3). 765–770. 9 indexed citations
4.
Ansa-Addo, Ephraim, Brian Riesenberg, Supinya Iamsawat, et al.. (2020). RNA binding protein PCBP1 is an intracellular immune checkpoint for shaping T cell responses in cancer immunity. Science Advances. 6(22). eaaz3865–eaaz3865. 35 indexed citations
5.
Nguyen, Hung, Ali Alawieh, David Bastian, et al.. (2020). Targeting the Complement Alternative Pathway Permits Graft Versus Leukemia Activity while Preventing Graft Versus Host Disease. Clinical Cancer Research. 26(13). 3481–3490. 9 indexed citations
6.
Sofi, M. Hanief, Yongxia Wu, Steven Schutt, et al.. (2019). Thioredoxin-1 confines T cell alloresponse and pathogenicity in graft-versus-host disease. Journal of Clinical Investigation. 129(7). 2760–2774. 29 indexed citations
7.
Iamsawat, Supinya, Linlu Tian, Anusara Daenthanasanmak, et al.. (2019). Vitamin C stabilizes CD8+ iTregs and enhances their therapeutic potential in controlling murine GVHD and leukemia relapse. Blood Advances. 3(24). 4187–4201. 19 indexed citations
8.
Ansa-Addo, Ephraim, et al.. (2019). RNA-binding protein PCBP1 shapes tolerance and immune response by constraining the formation of regulatory T cells. The Journal of Immunology. 202(1_Supplement). 57.12–57.12. 2 indexed citations
9.
Chatterjee, Shilpak, Paramita Chakraborty, Anusara Daenthanasanmak, et al.. (2018). Targeting PIM Kinase with PD1 Inhibition Improves Immunotherapeutic Antitumor T-cell Response. Clinical Cancer Research. 25(3). 1036–1049. 43 indexed citations
10.
Daenthanasanmak, Anusara, Yongxia Wu, Supinya Iamsawat, et al.. (2018). PIM-2 protein kinase negatively regulates T cell responses in transplantation and tumor immunity. Journal of Clinical Investigation. 128(7). 2787–2801. 27 indexed citations
11.
Iamsawat, Supinya, Anusara Daenthanasanmak, Jessica Voss, et al.. (2018). Stabilization of Foxp3 by Targeting JAK2 Enhances Efficacy of CD8 Induced Regulatory T Cells in the Prevention of Graft-versus-Host Disease. The Journal of Immunology. 201(9). 2812–2823. 27 indexed citations
12.
Nguyen, Hung, David Bastian, Jisun Kim, et al.. (2018). Complement C3a and C5a receptors promote GVHD by suppressing mitophagy in recipient dendritic cells. JCI Insight. 3(24). 25 indexed citations
13.
Zhang, Mengmeng, Yongxia Wu, David Bastian, et al.. (2018). Inducible T-Cell Co-Stimulator Impacts Chronic Graft-Versus-Host Disease by Regulating Both Pathogenic and Regulatory T Cells. Frontiers in Immunology. 9. 1461–1461. 19 indexed citations
14.
Daenthanasanmak, Anusara, Supinya Iamsawat, Paramita Chakraborty, et al.. (2018). Targeting Sirt-1 controls GVHD by inhibiting T-cell allo-response and promoting Treg stability in mice. Blood. 133(3). 266–279. 63 indexed citations
15.
Betts, Brian C., David Bastian, Supinya Iamsawat, et al.. (2018). Targeting JAK2 reduces GVHD and xenograft rejection through regulation of T cell differentiation. Proceedings of the National Academy of Sciences. 115(7). 1582–1587. 53 indexed citations
16.
Iamsawat, Supinya, Anusara Daenthanasanmak, & Xue‐Zhong Yu. (2018). Vitamin C Stabilizes CD8iTregs and Enhances Their Therapeutic Potential in Controlling GvHD and Leukemia Relapse. Blood. 132(Supplement 1). 4532–4532. 1 indexed citations
17.
Sofi, M. Hanief, Yongxia Wu, Min Dai, et al.. (2017). Oxidative Stress Regulates T Cell Pathogenicity in Gvhd. Blood. 130. 3168–3168. 1 indexed citations
18.
Daenthanasanmak, Anusara, Yongxia Wu, Supinya Iamsawat, et al.. (2016). Enhance T Cell Immunotherapy By Targeting PIM-2 Kinase. Blood. 128(22). 815–815. 1 indexed citations
19.
Iamsawat, Supinya, et al.. (2010). Multiplex PCR for detection of clarithromycin resistance and simultaneous species identification of Mycobacterium avium complex.. PubMed. 41(3). 590–601. 3 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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