Eric Tu

1.5k total citations
21 papers, 1.1k citations indexed

About

Eric Tu is a scholar working on Immunology, Oncology and Surgery. According to data from OpenAlex, Eric Tu has authored 21 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Immunology, 10 papers in Oncology and 4 papers in Surgery. Recurrent topics in Eric Tu's work include Immune Cell Function and Interaction (7 papers), CAR-T cell therapy research (6 papers) and IL-33, ST2, and ILC Pathways (4 papers). Eric Tu is often cited by papers focused on Immune Cell Function and Interaction (7 papers), CAR-T cell therapy research (6 papers) and IL-33, ST2, and ILC Pathways (4 papers). Eric Tu collaborates with scholars based in United States, China and Japan. Eric Tu's co-authors include Wanjun Chen, Dunfang Zhang, Ruiqing Wu, Wanjun Chen, Yun Zhang, Mei Dong, Cheng Zhang, Jianmin Yang, Xiao Meng and Kai Zhang and has published in prestigious journals such as Journal of Clinical Oncology, Blood and Immunity.

In The Last Decade

Eric Tu

19 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Eric Tu United States 12 549 279 246 111 102 21 1.1k
Jin Zhou China 19 299 0.5× 262 0.9× 163 0.7× 149 1.3× 76 0.7× 53 1.0k
Lauren Clancy United States 8 337 0.6× 370 1.3× 238 1.0× 112 1.0× 101 1.0× 13 1.2k
Zhimin Zhai China 16 287 0.5× 217 0.8× 160 0.7× 103 0.9× 75 0.7× 49 910
Margaret R. Dunne Ireland 18 604 1.1× 158 0.6× 353 1.4× 115 1.0× 163 1.6× 54 1.1k
Elena Maganto-García United States 14 702 1.3× 264 0.9× 221 0.9× 60 0.5× 126 1.2× 17 1.1k
Christina Katsiari Greece 20 648 1.2× 235 0.8× 106 0.4× 96 0.9× 72 0.7× 51 1.4k
Konrad Buscher Germany 17 759 1.4× 473 1.7× 134 0.5× 119 1.1× 118 1.2× 26 1.4k
Zhongping Zhan China 25 431 0.8× 449 1.6× 153 0.6× 142 1.3× 84 0.8× 70 1.6k
Vigdis Bjerkeli Norway 18 368 0.7× 285 1.0× 107 0.4× 111 1.0× 75 0.7× 31 878
Sara Ture United States 16 267 0.5× 252 0.9× 112 0.5× 80 0.7× 71 0.7× 35 925

Countries citing papers authored by Eric Tu

Since Specialization
Citations

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

Fields of papers citing papers by Eric Tu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eric Tu

This figure shows the co-authorship network connecting the top 25 collaborators of Eric Tu. A scholar is included among the top collaborators of Eric Tu 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 Eric Tu. Eric Tu 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.
Schumacher, Anett, Eric Tu, Carly Albaum, & Daphne J. Korczak. (2025). The systemic immune-inflammation index (SII) as a biomarker for depression in a community sample of adolescents. Comprehensive Psychoneuroendocrinology. 23. 100302–100302.
2.
Fu, Qihan, Hongkan Wang, Xingyuan Xu, et al.. (2024). Phase I study of C-CAR031, a GPC3-specific TGFβRIIDN armored autologous CAR-T, in patients with advanced hepatocellular carcinoma (HCC).. Journal of Clinical Oncology. 42(16_suppl). 4019–4019. 27 indexed citations
3.
Davar, Diwakar, Benedito A. Carneiro, Grace K. Dy, et al.. (2024). Phase I study of a recombinant attenuated oncolytic virus, MEDI5395 (NDV–GM-CSF), administered systemically in combination with durvalumab in patients with advanced solid tumors. Journal for ImmunoTherapy of Cancer. 12(11). e009336–e009336. 9 indexed citations
4.
Shaw, Amanda Rosewell, Daisuke Morita, Caroline E. Porter, et al.. (2024). IL-12 encoding oNDV synergizes with CAR-T cells in orthotopic models of non-small cell lung cancer. PubMed. 32(4). 200899–200899.
5.
Tu, Eric, Kelly McGlinchey, Jixin Wang, et al.. (2022). Anti–PD-L1 and anti-CD73 combination therapy promotes T cell response to EGFR-mutated NSCLC. JCI Insight. 7(3). 75 indexed citations
6.
Harder, Nathalie, Markus Schick, Karma Dacosta, et al.. (2022). 339 Quantitative assessment of CAR-T cell therapy targets using computational pathology. Regular and Young Investigator Award Abstracts. A357–A357. 1 indexed citations
7.
Overstreet, Michael G., et al.. (2022). Abstract 2837: Synthetic TGFb blockade preserves effector function and maintains stemness of GPC3 CAR-T against hepatocellular carcinoma. Cancer Research. 82(12_Supplement). 2837–2837. 1 indexed citations
8.
Tu, Eric, Kelly McGlinchey, Susan Wilson, et al.. (2020). Abstract 911: Anti-PD-L1 and anti-CD73 combination therapy promotes T cell response to EGFR mutant NSCLC. Cancer Research. 80(16_Supplement). 911–911. 1 indexed citations
9.
Zhang, Dunfang, Wenwen Jin, Ruiqing Wu, et al.. (2019). High Glucose Intake Exacerbates Autoimmunity through Reactive-Oxygen-Species-Mediated TGF-β Cytokine Activation. Immunity. 51(4). 671–681.e5. 208 indexed citations
10.
Chen, Hua, Shimpei Kasagi, Cheryl Chia, et al.. (2019). Extracellular Vesicles from Apoptotic Cells Promote TGFβ Production in Macrophages and Suppress Experimental Colitis. Scientific Reports. 9(1). 5875–5875. 42 indexed citations
11.
Tu, Eric, Cheryl Chia, Weiwei Chen, et al.. (2018). T Cell Receptor-Regulated TGF-β Type I Receptor Expression Determines T Cell Quiescence and Activation. Immunity. 48(4). 745–759.e6. 63 indexed citations
12.
Meng, Xiao, Jianmin Yang, Mei Dong, et al.. (2015). Regulatory T cells in cardiovascular diseases. Nature Reviews Cardiology. 13(3). 167–179. 306 indexed citations
13.
Nakatsukasa, Hiroko, Dunfang Zhang, Takashi Maruyama, et al.. (2015). The DNA-binding inhibitor Id3 regulates IL-9 production in CD4+ T cells. Nature Immunology. 16(10). 1077–1084. 69 indexed citations
14.
Zhang, Dunfang, Eric Tu, Shimpei Kasagi, et al.. (2015). Manipulating Regulatory T Cells: A Promising Strategy to Treat Autoimmunity. Immunotherapy. 7(11). 1201–1211. 34 indexed citations
15.
Wu, Ruiqing, Dunfang Zhang, Eric Tu, Qianming Chen, & Wanjun Chen. (2014). The mucosal immune system in the oral cavity—an orchestra of T cell diversity. International Journal of Oral Science. 6(3). 125–132. 115 indexed citations
16.
Tu, Eric, Pei Zhi Cheryl Chia, & Wanjun Chen. (2014). TGFβ in T cell biology and tumor immunity: Angel or devil?. Cytokine & Growth Factor Reviews. 25(4). 423–435. 51 indexed citations
17.
Tu, Eric, Dorothée Bourges, Paul A. Gleeson, Desmond K. Y. Ang, & Ian R. van Driel. (2013). Pathogenic T cells persist after reversal of autoimmune disease by immunosuppression with regulatory T cells. European Journal of Immunology. 43(5). 1286–1296. 10 indexed citations
18.
Zhang, Pin, Hiroko Nakatsukasa, Eric Tu, et al.. (2013). PARP-1 regulates expression of TGF-β receptors in T cells. Blood. 122(13). 2224–2232. 33 indexed citations
19.
Tu, Eric, Desmond K. Y. Ang, Shayne A. Bellingham, et al.. (2012). Both IFN‐γ and IL‐17 are required for the development of severe autoimmune gastritis. European Journal of Immunology. 42(10). 2574–2583. 24 indexed citations
20.
Tu, Eric, Desmond K. Y. Ang, Thea Hogan, et al.. (2011). A Convenient Model of Severe, High Incidence Autoimmune Gastritis Caused by Polyclonal Effector T Cells and without Perturbation of Regulatory T Cells. PLoS ONE. 6(11). e27153–e27153. 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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