Zuoan Yi

1.1k total citations
24 papers, 858 citations indexed

About

Zuoan Yi is a scholar working on Immunology, Genetics and Cancer Research. According to data from OpenAlex, Zuoan Yi has authored 24 papers receiving a total of 858 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Immunology, 7 papers in Genetics and 7 papers in Cancer Research. Recurrent topics in Zuoan Yi's work include Immune Cell Function and Interaction (13 papers), Diabetes and associated disorders (7 papers) and NF-κB Signaling Pathways (7 papers). Zuoan Yi is often cited by papers focused on Immune Cell Function and Interaction (13 papers), Diabetes and associated disorders (7 papers) and NF-κB Signaling Pathways (7 papers). Zuoan Yi collaborates with scholars based in United States, China and Russia. Zuoan Yi's co-authors include Gail A. Bishop, Laura L. Stunz, Roland Tisch, H. Shelton Earp, Glenn K. Matsushima, Mark A. Wallet, Wai Lin, Clayton E. Mathews, Pradip Sen and Bo Wang and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Journal of Experimental Medicine and Blood.

In The Last Decade

Zuoan Yi

23 papers receiving 848 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Zuoan Yi United States 18 671 192 171 148 122 24 858
Kelly A. Remedios United States 8 442 0.7× 234 1.2× 119 0.7× 63 0.4× 37 0.3× 8 790
Bhavana Priyadharshini United States 10 693 1.0× 174 0.9× 72 0.4× 83 0.6× 56 0.5× 18 899
Eunkyeong Jang South Korea 11 396 0.6× 193 1.0× 39 0.2× 111 0.8× 62 0.5× 25 666
Zhongsheng Sun China 8 829 1.2× 243 1.3× 163 1.0× 545 3.7× 204 1.7× 11 1.3k
Saikiran K. Sedimbi Sweden 13 531 0.8× 207 1.1× 33 0.2× 91 0.6× 77 0.6× 29 747
Nathalie Uyttersprot Germany 7 492 0.7× 241 1.3× 54 0.3× 62 0.4× 40 0.3× 10 872
Jon Kuniyoshi United States 10 486 0.7× 335 1.7× 70 0.4× 126 0.9× 139 1.1× 11 922
Tesu Lin United States 15 503 0.7× 312 1.6× 81 0.5× 60 0.4× 55 0.5× 21 829
Makoto Kuwahara Japan 14 644 1.0× 343 1.8× 134 0.8× 62 0.4× 56 0.5× 28 1.0k
Craig Meagher Canada 13 370 0.6× 159 0.8× 48 0.3× 236 1.6× 162 1.3× 17 629

Countries citing papers authored by Zuoan Yi

Since Specialization
Citations

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

Fields of papers citing papers by Zuoan Yi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zuoan Yi

This figure shows the co-authorship network connecting the top 25 collaborators of Zuoan Yi. A scholar is included among the top collaborators of Zuoan Yi 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 Zuoan Yi. Zuoan Yi 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.
Fang, Xin, Cristina Melero, Caroline Bonnans, et al.. (2023). 23ME-00610, a genetically informed, first-in-class antibody targeting CD200R1 to enhance antitumor T cell function. OncoImmunology. 12(1). 2217737–2217737. 9 indexed citations
2.
Hostager, Bruce S., et al.. (2017). TRAF3 enhances TCR signaling by regulating the inhibitors Csk and PTPN22. Scientific Reports. 7(1). 2081–2081. 26 indexed citations
3.
Lin, Wai, Zuoan Yi, Laura L. Stunz, et al.. (2015). The adaptor protein TRAF3 inhibits interleukin-6 receptor signaling in B cells to limit plasma cell development. Science Signaling. 8(392). ra88–ra88. 36 indexed citations
4.
Yi, Zuoan, et al.. (2015). TRAF3 regulates CSK and PTPN22 to enhance T cell receptor signaling (IRM7P.705). The Journal of Immunology. 194(1_Supplement). 61.6–61.6. 1 indexed citations
5.
Yi, Zuoan, Laura L. Stunz, Wai Lin, & Gail A. Bishop. (2014). TRAF3 Regulates Homeostasis of CD8+ Central Memory T Cells. PLoS ONE. 9(7). e102120–e102120. 18 indexed citations
6.
Yi, Zuoan, Wai Lin, Laura L. Stunz, & Gail A. Bishop. (2014). The adaptor TRAF3 restrains the lineage determination of thymic regulatory T cells by modulating signaling via the receptor for IL-2. Nature Immunology. 15(9). 866–874. 49 indexed citations
7.
Yi, Zuoan & Gail A. Bishop. (2014). Regulatory role of CD40 in obesity-induced insulin resistance. Adipocyte. 4(1). 65–69. 12 indexed citations
8.
Yi, Zuoan, Laura L. Stunz, & Gail A. Bishop. (2014). CD40-Mediated Maintenance of Immune Homeostasis in the Adipose Tissue Microenvironment. Diabetes. 63(8). 2751–2760. 36 indexed citations
9.
Yi, Zuoan, Wai Lin, Laura L. Stunz, & Gail A. Bishop. (2013). Roles for TNF-receptor associated factor 3 (TRAF3) in lymphocyte functions. Cytokine & Growth Factor Reviews. 25(2). 147–156. 34 indexed citations
10.
Yi, Zuoan, Laura L. Stunz, & Gail A. Bishop. (2013). TNF receptor associated factor 3 plays a key role in development and function of invariant natural killer T cells. The Journal of Experimental Medicine. 210(6). 1079–1086. 30 indexed citations
11.
Yi, Zuoan, Li Li, Alaina L. Garland, et al.. (2012). IFN-γ receptor deficiency prevents diabetes induction by diabetogenic CD4+T cells but not CD8+T cells. European Journal of Immunology. n/a–n/a. 2 indexed citations
12.
Yi, Zuoan, Li Li, Alaina L. Garland, et al.. (2012). IFN‐γ receptor deficiency prevents diabetes induction by diabetogenic CD4+, but not CD8+, T cells. European Journal of Immunology. 42(8). 2010–2018. 32 indexed citations
13.
Hildebrand, Joanne M., Zuoan Yi, Claire M. Buchta, et al.. (2011). Roles of tumor necrosis factor receptor associated factor 3 (TRAF3) and TRAF5 in immune cell functions. Immunological Reviews. 244(1). 55–74. 93 indexed citations
14.
Li, Li, Qiuming He, Alaina L. Garland, et al.. (2009). β Cell-Specific CD4+ T Cell Clonotypes in Peripheral Blood and the Pancreatic Islets Are Distinct. The Journal of Immunology. 183(11). 7585–7591. 27 indexed citations
15.
Pang, Shuguang, Li Zhang, Haidong Wang, et al.. (2009). CD8+ T cells specific for β cells encounter their cognate antigens in the islets of NOD mice. European Journal of Immunology. 39(10). 2716–2724. 19 indexed citations
16.
Wallet, Mark A., Rafael R. Flores, Yaming Wang, et al.. (2009). MerTK regulates thymic selection of autoreactive T cells. Proceedings of the National Academy of Sciences. 106(12). 4810–4815. 32 indexed citations
17.
Li, Li, Zuoan Yi, Bo Wang, & Roland Tisch. (2009). Suppression of Ongoing T Cell-Mediated Autoimmunity by Peptide-MHC Class II Dimer Vaccination. The Journal of Immunology. 183(7). 4809–4816. 25 indexed citations
18.
Wallet, Mark A., Pradip Sen, Rafael R. Flores, et al.. (2008). MerTK is required for apoptotic cell–induced T cell tolerance. The Journal of Experimental Medicine. 205(1). 219–232. 116 indexed citations
19.
Li, Li, Zuoan Yi, Roland Tisch, & Bo Wang. (2008). Immunotherapy of type 1 diabetes. Archivum Immunologiae et Therapiae Experimentalis. 56(4). 227–236. 8 indexed citations
20.
Sen, Pradip, Mark A. Wallet, Zuoan Yi, et al.. (2006). Apoptotic cells induce Mer tyrosine kinase–dependent blockade of NF-κB activation in dendritic cells. Blood. 109(2). 653–660. 174 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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