Supinya Iamsawat

34 total papers · 557 total citations
19 papers, 367 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 367 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 France. Supinya Iamsawat's co-authors include Xue‐Zhong Yu, Anusara Daenthanasanmak, Hung Nguyen, David Bastian, Chen Liu, Yongxia Wu, Shikhar Mehrotra, 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 364 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Supinya Iamsawat 195 105 103 95 51 19 367
Rong Fu 155 0.8× 78 0.7× 119 1.2× 87 0.9× 29 0.6× 29 359
Alexandra Boehm 94 0.5× 76 0.7× 136 1.3× 53 0.6× 34 0.7× 26 398
Rebecca E. Parker 128 0.7× 69 0.7× 178 1.7× 70 0.7× 39 0.8× 23 395
Alan Dunlop 86 0.4× 110 1.0× 200 1.9× 74 0.8× 31 0.6× 16 342
Shan Meng 72 0.4× 107 1.0× 194 1.9× 94 1.0× 31 0.6× 19 361
C. Ewel 197 1.0× 40 0.4× 122 1.2× 79 0.8× 29 0.6× 18 435
Maryse Dupouy 63 0.3× 131 1.2× 148 1.4× 64 0.7× 47 0.9× 12 352
Yinhong Song 138 0.7× 33 0.3× 190 1.8× 54 0.6× 30 0.6× 29 424
Chikahiko Sakamoto 229 1.2× 38 0.4× 184 1.8× 62 0.7× 25 0.5× 15 421
Bingmu Fang 98 0.5× 39 0.4× 137 1.3× 139 1.5× 15 0.3× 20 336

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

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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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