Sue Tsai

5.3k total citations · 1 hit paper
51 papers, 3.4k citations indexed

About

Sue Tsai is a scholar working on Immunology, Genetics and Physiology. According to data from OpenAlex, Sue Tsai has authored 51 papers receiving a total of 3.4k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Immunology, 18 papers in Genetics and 13 papers in Physiology. Recurrent topics in Sue Tsai's work include Immune Cell Function and Interaction (20 papers), Diabetes and associated disorders (18 papers) and T-cell and B-cell Immunology (16 papers). Sue Tsai is often cited by papers focused on Immune Cell Function and Interaction (20 papers), Diabetes and associated disorders (18 papers) and T-cell and B-cell Immunology (16 papers). Sue Tsai collaborates with scholars based in Canada, United States and Spain. Sue Tsai's co-authors include Pere Santamaría, Xavier Clemente‐Casares, Daniel A. Winer, Shawn Winer, Helen Luck, Afshin Shameli, Yang Yang, Santiswarup Singha, Kun Shao and Jinguo Wang and has published in prestigious journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Sue Tsai

49 papers receiving 3.4k citations

Hit Papers

The Intestinal Immune System in Obesity and Insulin Resis... 2016 2026 2019 2022 2016 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sue Tsai Canada 26 1.4k 977 720 576 457 51 3.4k
Hubert M. Tse United States 36 1.1k 0.7× 1.2k 1.2× 964 1.3× 1.1k 1.9× 611 1.3× 80 3.6k
Jeff Reese United States 36 2.0k 1.4× 1.1k 1.2× 830 1.2× 416 0.7× 125 0.3× 128 5.4k
Jon D. Piganelli United States 42 1.8k 1.2× 1.3k 1.3× 1.5k 2.0× 1.6k 2.8× 781 1.7× 90 4.9k
Lev Becker United States 26 1.3k 0.9× 1.3k 1.4× 280 0.4× 429 0.7× 220 0.5× 47 3.6k
Min Luo China 36 665 0.5× 2.3k 2.4× 289 0.4× 450 0.8× 394 0.9× 206 4.9k
Zu‐Xi Yu United States 36 1.2k 0.8× 2.3k 2.3× 298 0.4× 467 0.8× 130 0.3× 70 4.8k
Paula M. Oliver United States 22 918 0.6× 1.5k 1.6× 278 0.4× 328 0.6× 390 0.9× 28 3.7k
Claudio Mauro United Kingdom 35 1.8k 1.3× 2.1k 2.1× 281 0.4× 248 0.4× 158 0.3× 74 5.0k
Stefania Morrone Italy 36 1.9k 1.4× 1.6k 1.7× 245 0.3× 1.0k 1.8× 255 0.6× 126 5.0k
Stefano Bruscoli Italy 31 1.6k 1.1× 1.0k 1.0× 516 0.7× 229 0.4× 432 0.9× 73 3.5k

Countries citing papers authored by Sue Tsai

Since Specialization
Citations

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

Fields of papers citing papers by Sue Tsai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sue Tsai

This figure shows the co-authorship network connecting the top 25 collaborators of Sue Tsai. A scholar is included among the top collaborators of Sue Tsai 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 Sue Tsai. Sue Tsai 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.
Khan, Shehnaz, Mainak Chakraborty, Nan Chen, et al.. (2026). B cells drive CD4 T cell immunosenescence and age-associated health decline. Science Immunology. 11(115). eadv7615–eadv7615.
2.
Basso, Paulo José, et al.. (2025). Weight Loss‐Associated Remodeling of Adipose Tissue Immunometabolism. Obesity Reviews. 26(12). e13975–e13975. 1 indexed citations
4.
Yu, Pei, Hisham M. Ibrahim, Corey A. Scipione, et al.. (2023). Oxidized Low-Density Lipoprotein Accumulation Suppresses Glycolysis and Attenuates the Macrophage Inflammatory Response by Diverting Transcription from the HIF-1α to the Nrf2 Pathway. The Journal of Immunology. 211(10). 1561–1577. 15 indexed citations
5.
Makhijani, Priya, Paulo José Basso, Yi Tao Chan, et al.. (2023). Regulation of the immune system by the insulin receptor in health and disease. Frontiers in Endocrinology. 14. 1128622–1128622. 33 indexed citations
6.
Lucchinetti, Eliana, Phing‐How Lou, Paulina Wawrzyniak, et al.. (2022). Novel lipid emulsion for total parenteral nutrition based on 18-carbon n–3 fatty acids elicits a superior immunometabolic phenotype in a murine model compared with standard lipid emulsions. American Journal of Clinical Nutrition. 116(6). 1805–1819. 11 indexed citations
7.
Wang, Kun, Rabban Mangat, Sue Tsai, et al.. (2022). Effect of High-Fat and Low-Fat Dairy Products on Cardiometabolic Risk Factors and Immune Function in a Low Birthweight Swine Model of Diet-Induced Insulin Resistance. Frontiers in Nutrition. 9. 923120–923120. 6 indexed citations
8.
Lee, Megan, Kevin Y. Chu, Mainak Chakraborty, et al.. (2022). PDMS hydrogel-coated tissue culture plates for studying the impact of substrate stiffness on dendritic cell function. STAR Protocols. 3(2). 101233–101233. 9 indexed citations
9.
Lee, Megan, Huixun Du, Daniel A. Winer, Xavier Clemente‐Casares, & Sue Tsai. (2022). Mechanosensing in macrophages and dendritic cells in steady-state and disease. Frontiers in Cell and Developmental Biology. 10. 1044729–1044729. 53 indexed citations
10.
Mangat, Rabban, et al.. (2022). The Interplay of Obesity, Dyslipidemia and Immune Dysfunction: A Brief Overview on Pathophysiology, Animal Models, and Nutritional Modulation. Frontiers in Nutrition. 9. 840209–840209. 24 indexed citations
11.
Tsai, Sue, Xavier Clemente‐Casares, Angela Zhou, et al.. (2018). Insulin Receptor-Mediated Stimulation Boosts T Cell Immunity during Inflammation and Infection. Cell Metabolism. 28(6). 922–934.e4. 203 indexed citations
12.
Clemente‐Casares, Xavier, Jesús Blanco, Jun Yamanouchi, et al.. (2016). Expanding antigen-specific regulatory networks to treat autoimmunity. Nature. 530(7591). 434–440. 396 indexed citations
13.
Tsai, Sue & Pere Santamaría. (2013). MHC Class II Polymorphisms, Autoreactive T-Cells, and Autoimmunity. Frontiers in Immunology. 4. 321–321. 123 indexed citations
14.
Wang, Jinguo, Sue Tsai, Bingye Han, Pankaj Tailor, & Pere Santamaría. (2012). Autoantigen Recognition Is Required for Recruitment of IGRP206–214-Autoreactive CD8+ T Cells but Is Dispensable for Tolerance. The Journal of Immunology. 189(6). 2975–2984. 6 indexed citations
15.
Clemente‐Casares, Xavier, et al.. (2011). Antigen-Specific Therapeutic Approaches in Type 1 Diabetes. Cold Spring Harbor Perspectives in Medicine. 2(2). a007773–a007773. 36 indexed citations
16.
Wang, Jinguo, et al.. (2010). In situ recognition of autoantigen as an essential gatekeeper in autoimmune CD8 + T cell inflammation. Proceedings of the National Academy of Sciences. 107(20). 9317–9322. 47 indexed citations
17.
Tsai, Sue, Afshin Shameli, & Pere Santamaría. (2008). Chapter 4 CD8+ T Cells in Type 1 Diabetes. Advances in immunology. 100. 79–124. 105 indexed citations
18.
Tailor, Pankaj, Sue Tsai, Afshin Shameli, et al.. (2008). The Proline-Rich Sequence of CD3ε as an Amplifier of Low-Avidity TCR Signaling. The Journal of Immunology. 181(1). 243–255. 48 indexed citations
19.
Zang, Qun S., David L. Maass, Sue Tsai, & Jureta W. Horton. (2007). Cardiac Mitochondrial Damage And Inflammation Responses in Sepsis. Surgical Infections. 8(1). 41–54. 66 indexed citations
20.
Crider, Bill P., et al.. (1999). Identification and Reconstitution of an Isoform of the 116-kDa Subunit of the Vacuolar Proton Translocating ATPase. Journal of Biological Chemistry. 274(4). 2549–2555. 46 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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