Tuoqi Wu

2.8k total citations · 1 hit paper
22 papers, 1.4k citations indexed

About

Tuoqi Wu is a scholar working on Immunology, Oncology and Molecular Biology. According to data from OpenAlex, Tuoqi Wu has authored 22 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Immunology, 9 papers in Oncology and 6 papers in Molecular Biology. Recurrent topics in Tuoqi Wu's work include Immune Cell Function and Interaction (16 papers), T-cell and B-cell Immunology (11 papers) and CAR-T cell therapy research (5 papers). Tuoqi Wu is often cited by papers focused on Immune Cell Function and Interaction (16 papers), T-cell and B-cell Immunology (11 papers) and CAR-T cell therapy research (5 papers). Tuoqi Wu collaborates with scholars based in United States, China and Netherlands. Tuoqi Wu's co-authors include Dorian B. McGavern, Pamela L. Schwartzberg, E. Ashley Moseman, J. Scott Hale, Rafi Ahmed, Lilin Ye, Yun Ji, Luca Gattinoni, Ben Youngblood and Smita S. Iyer and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and The Journal of Experimental Medicine.

In The Last Decade

Tuoqi Wu

20 papers receiving 1.4k citations

Hit Papers

The TCF1-Bcl6 axis counteracts type I interferon to repre... 2016 2026 2019 2022 2016 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tuoqi Wu United States 15 965 449 403 108 93 22 1.4k
Milan Reiniš Czechia 18 516 0.5× 329 0.7× 438 1.1× 68 0.6× 101 1.1× 66 1.1k
Viv Lindo United Kingdom 16 641 0.7× 218 0.5× 485 1.2× 35 0.3× 186 2.0× 32 1.5k
Chance John Luckey United States 21 923 1.0× 260 0.6× 892 2.2× 68 0.6× 126 1.4× 42 1.8k
Alexandre M. Carmo Portugal 25 626 0.6× 224 0.5× 765 1.9× 64 0.6× 74 0.8× 46 1.5k
Yutaka Arimura Japan 19 535 0.6× 158 0.4× 503 1.2× 54 0.5× 97 1.0× 34 1.0k
Mary A. Valentine United States 19 810 0.8× 248 0.6× 518 1.3× 90 0.8× 146 1.6× 34 1.6k
Danya Liu United States 16 545 0.6× 210 0.5× 292 0.7× 77 0.7× 95 1.0× 35 949
Gundo Diedrich United States 15 525 0.5× 305 0.7× 530 1.3× 32 0.3× 92 1.0× 28 1.1k
Kartoosh Heydari United States 18 371 0.4× 139 0.3× 643 1.6× 89 0.8× 147 1.6× 25 1.2k
Masashi Minami Japan 11 1.0k 1.1× 595 1.3× 505 1.3× 169 1.6× 149 1.6× 18 1.9k

Countries citing papers authored by Tuoqi Wu

Since Specialization
Citations

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

Fields of papers citing papers by Tuoqi Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tuoqi Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Tuoqi Wu. A scholar is included among the top collaborators of Tuoqi Wu 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 Tuoqi Wu. Tuoqi Wu 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.
Sivasami, Pulavendran, Yeun-po Chiang, Luisa Cervantes‐Barragán, et al.. (2025). Obesity reshapes regulatory T cells in the visceral adipose tissue by disrupting cellular cholesterol homeostasis. Science Immunology. 10(103). eadl4909–eadl4909. 4 indexed citations
2.
Chen, Zeyu, et al.. (2025). Regulation of T cell exhaustion and stemness: molecular mechanisms and implications for cancer immunotherapy. Cellular and Molecular Immunology. 23(1). 1–14.
3.
Dahabieh, Michael S., Lisa M. DeCamp, Brandon M. Oswald, et al.. (2025). The prostacyclin receptor PTGIR is a NRF2-dependent regulator of CD8+ T cell exhaustion. Nature Immunology. 26(7). 1139–1151. 5 indexed citations
4.
Knox, Kennady, Devon Jeltema, Nicole Dobbs, et al.. (2025). Dynamic STING repression orchestrates immune cell development and function. Science Immunology. 10(105). eado9933–eado9933. 5 indexed citations
6.
Luo, Ying, Guohua Lou, Andrew DeVilbiss, et al.. (2024). The redox sensor KEAP1 facilitates adaptation of T cells to chronic antigen stimulation by preventing hyperactivation. Science Immunology. 9(101). eadk2954–eadk2954. 14 indexed citations
7.
Lou, Guohua, Xiao-Lu Teng, Haixia Wang, et al.. (2023). FOXP1 and KLF2 reciprocally regulate checkpoints of stem-like to effector transition in CAR T cells. Nature Immunology. 25(1). 117–128. 29 indexed citations
8.
Zhang, Ze, Kaiwen Wang, Xinlei Wang, et al.. (2022). Interpreting the B-cell receptor repertoire with single-cell gene expression using Benisse. Nature Machine Intelligence. 4(6). 596–604. 12 indexed citations
9.
Yao, Chen, Tian Zhang, Tuoqi Wu, & James Brugarolas. (2022). Facts and Hopes for Immunotherapy in Renal Cell Carcinoma. Clinical Cancer Research. 28(23). 5013–5020. 18 indexed citations
10.
Fujiwara, Yuki, Robert J. Torphy, Yi Sun, et al.. (2021). The GPR171 pathway suppresses T cell activation and limits antitumor immunity. Nature Communications. 12(1). 5857–5857. 19 indexed citations
11.
Cannons, Jennifer L., Alejandro V. Villarino, Senta M. Kapnick, et al.. (2021). PI3Kδ coordinates transcriptional, chromatin, and metabolic changes to promote effector CD8+ T cells at the expense of central memory. Cell Reports. 37(2). 109804–109804. 16 indexed citations
12.
Huang, Zhe, Jaroslav Žák, Namir Shaabani, et al.. (2019). IL-27 promotes the expansion of self-renewing CD8+ T cells in persistent viral infection. The Journal of Experimental Medicine. 216(8). 1791–1808. 45 indexed citations
13.
Moseman, E. Ashley, Tuoqi Wu, Juan Carlos de la Torre, Pamela L. Schwartzberg, & Dorian B. McGavern. (2017). Type I interferon suppresses neutralizing antiviral B cell responses by modulating CD8+ T cell differentiation. The Journal of Immunology. 198(Supplement_1). 122.1–122.1.
14.
Ye, Lilin, Junghwa Lee, Lifan Xu, et al.. (2017). mTOR Promotes Antiviral Humoral Immunity by Differentially Regulating CD4 Helper T Cell and B Cell Responses. Journal of Virology. 91(4). 44 indexed citations
15.
Moseman, E. Ashley, Tuoqi Wu, Juan Carlos de la Torre, Pamela L. Schwartzberg, & Dorian B. McGavern. (2016). Type I interferon suppresses virus-specific B cell responses by modulating CD8 + T cell differentiation. Science Immunology. 1(4). 76 indexed citations
16.
Wu, Tuoqi, E. Ashley Moseman, Yun Ji, et al.. (2015). TCF1 Is Required for the T Follicular Helper Cell Response to Viral Infection. Cell Reports. 12(12). 2099–2110. 124 indexed citations
17.
Hale, J. Scott, Ben Youngblood, Donald R. Latner, et al.. (2013). Distinct Memory CD4+ T Cells with Commitment to T Follicular Helper- and T Helper 1-Cell Lineages Are Generated after Acute Viral Infection. Immunity. 38(4). 805–817. 265 indexed citations
18.
Wu, Tuoqi, Andreas Wieland, Koichi Araki, et al.. (2012). Temporal expression of microRNA cluster miR-17-92 regulates effector and memory CD8 + T-cell differentiation. Proceedings of the National Academy of Sciences. 109(25). 9965–9970. 98 indexed citations
19.
Sun, Pei, et al.. (2010). TSC1/2 tumour suppressor complex maintainsDrosophilagermline stem cells by preventing differentiation. Development. 137(15). 2461–2469. 61 indexed citations
20.
Wu, Tuoqi, et al.. (2007). Binding of the Environmental Pollutant Naphthol to Bovine Serum Albumin. Biomacromolecules. 8(6). 1899–1906. 138 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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