Ruoning Wang

11.2k total citations · 4 hit papers
70 papers, 7.8k citations indexed

About

Ruoning Wang is a scholar working on Molecular Biology, Immunology and Cancer Research. According to data from OpenAlex, Ruoning Wang has authored 70 papers receiving a total of 7.8k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Molecular Biology, 34 papers in Immunology and 17 papers in Cancer Research. Recurrent topics in Ruoning Wang's work include Immune Cell Function and Interaction (20 papers), Cancer, Hypoxia, and Metabolism (15 papers) and Immune cells in cancer (15 papers). Ruoning Wang is often cited by papers focused on Immune Cell Function and Interaction (20 papers), Cancer, Hypoxia, and Metabolism (15 papers) and Immune cells in cancer (15 papers). Ruoning Wang collaborates with scholars based in United States, China and United Kingdom. Ruoning Wang's co-authors include Douglas R. Green, Lewis Z. Shi, Hongbo Chi, Sandra Milasta, Peter Vogel, Gonghua Huang, Geoffrey Neale, David Finkelstein, Christopher P. Dillon and Joshua Munger and has published in prestigious journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Ruoning Wang

67 papers receiving 7.8k citations

Hit Papers

The Transcription Factor Myc Controls Metabolic Reprogram... 2011 2026 2016 2021 2011 2011 2012 2014 500 1000 1.5k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ruoning Wang United States 35 3.9k 3.6k 1.6k 1.4k 758 70 7.8k
David O’Sullivan United States 16 5.2k 1.3× 3.3k 0.9× 2.1k 1.3× 2.4k 1.6× 939 1.2× 26 8.7k
Julianna Blagih Canada 23 3.2k 0.8× 3.2k 0.9× 2.0k 1.3× 1.4k 0.9× 731 1.0× 29 6.8k
Gordon S. Duncan Canada 39 5.5k 1.4× 3.8k 1.1× 1.6k 1.0× 2.0k 1.4× 849 1.1× 46 9.7k
Mark Boothby United States 52 4.7k 1.2× 2.8k 0.8× 1.9k 1.2× 2.0k 1.4× 555 0.7× 139 8.3k
Yiwei Chu China 50 3.6k 0.9× 2.9k 0.8× 1.3k 0.8× 2.4k 1.7× 641 0.8× 182 7.7k
Andreas Weigert Germany 46 3.3k 0.9× 3.5k 1.0× 1.1k 0.7× 1.3k 0.9× 578 0.8× 203 7.2k
Gottfried Baier Austria 49 3.4k 0.9× 4.2k 1.2× 1.1k 0.7× 1.7k 1.2× 416 0.5× 163 7.9k
Marco J. Herold Australia 43 2.9k 0.7× 4.6k 1.3× 825 0.5× 1.8k 1.2× 689 0.9× 136 7.9k
David K. Finlay Ireland 38 4.8k 1.3× 2.2k 0.6× 1.2k 0.7× 1.5k 1.0× 734 1.0× 64 7.1k
Thomas Wirth Germany 47 2.5k 0.6× 4.1k 1.1× 2.6k 1.6× 2.1k 1.5× 551 0.7× 122 8.5k

Countries citing papers authored by Ruoning Wang

Since Specialization
Citations

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

Fields of papers citing papers by Ruoning Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ruoning Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Ruoning Wang. A scholar is included among the top collaborators of Ruoning Wang 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 Ruoning Wang. Ruoning Wang 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
2.
Singh, Shivendra V., Qiong Wu, Hongjian Jin, et al.. (2025). The context-dependent epigenetic and organogenesis programs determine 3D vs. 2D cellular fitness of MYC-driven murine liver cancer cells. eLife. 14. 1 indexed citations
3.
Fan, Tingting, et al.. (2024). Metabolic footprint and logic through the T cell life cycle. Current Opinion in Immunology. 91. 102487–102487. 2 indexed citations
4.
Song, Kevin, et al.. (2024). Selective refueling of CAR T cells using ADA1 and CD26 boosts antitumor immunity. Cell Reports Medicine. 5(5). 101530–101530. 11 indexed citations
5.
Gnanaprakasam, JN Rashida, Bhavana Kushwaha, Lingling Liu, et al.. (2023). Asparagine restriction enhances CD8+ T cell metabolic fitness and antitumoral functionality through an NRF2-dependent stress response. Nature Metabolism. 5(8). 1423–1439. 58 indexed citations
6.
Talebian, Fatemeh, Yang Li, Jianmin Zhu, et al.. (2023). CD200R signaling contributes to unfavorable tumor microenvironment through regulating production of chemokines by tumor-associated myeloid cells. iScience. 26(6). 106904–106904. 5 indexed citations
7.
Wu, Dandan, Xing Zhang, Ruoning Wang, et al.. (2023). Unfolded protein response factor ATF6 augments T helper cell responses and promotes mixed granulocytic airway inflammation. Mucosal Immunology. 16(4). 499–512. 6 indexed citations
8.
Chen, Xuyong, Meng Wang, Siwen Kang, et al.. (2022). Succinate dehydrogenase/complex II is critical for metabolic and epigenetic regulation of T cell proliferation and inflammation. Science Immunology. 7(70). eabm8161–eabm8161. 50 indexed citations
9.
Wang, Yuetong, Fei Wang, Lihua Wang, et al.. (2021). NAD+ supplement potentiates tumor-killing function by rescuing defective TUB-mediated NAMPT transcription in tumor-infiltrated T cells. Cell Reports. 36(6). 109516–109516. 73 indexed citations
10.
Wu, Ruohan, Xuyong Chen, Siwen Kang, et al.. (2020). De novo synthesis and salvage pathway coordinately regulate polyamine homeostasis and determine T cell proliferation and function. Science Advances. 6(51). 59 indexed citations
11.
Xu, Xuequn, et al.. (2019). A Metabolism Toolbox for CAR T Therapy. Frontiers in Oncology. 9. 322–322. 56 indexed citations
12.
Lu, Yun, Huanrong Liu, Yujing Bi, et al.. (2017). Glucocorticoid receptor promotes the function of myeloid-derived suppressor cells by suppressing HIF1α-dependent glycolysis. Cellular and Molecular Immunology. 15(6). 618–629. 60 indexed citations
13.
Sun, Sheng, Le Sun, Xi Zhou, et al.. (2016). Phosphorylation-Dependent Activation of the ESCRT Function of ALIX in Cytokinetic Abscission and Retroviral Budding. Developmental Cell. 36(3). 331–343. 23 indexed citations
14.
Verbist, Katherine, Ruoning Wang, & Douglas R. Green. (2012). T cell metabolism and the immune response. Seminars in Immunology. 24(6). 399–404. 27 indexed citations
15.
Nie, Zuqin, Gangqing Hu, Gang Wei, et al.. (2012). c-Myc Is a Universal Amplifier of Expressed Genes in Lymphocytes and Embryonic Stem Cells. Cell. 151(1). 68–79. 792 indexed citations breakdown →
16.
Bedford, David C., Lawryn H. Kasper, Ruoning Wang, et al.. (2011). Disrupting the CH1 Domain Structure in the Acetyltransferases CBP and p300 Results in Lean Mice with Increased Metabolic Control. Cell Metabolism. 14(2). 219–230. 33 indexed citations
17.
Zhao, Yong, Olivier Haccard, Ruoning Wang, et al.. (2008). Roles of Greatwall Kinase in the Regulation of Cdc25 Phosphatase. Molecular Biology of the Cell. 19(4). 1317–1327. 60 indexed citations
18.
Pan, Shujuan, Ruoning Wang, Xi Zhou, et al.. (2008). Extracellular Alix regulates integrin‐mediated cell adhesions and extracellular matrix assembly. The EMBO Journal. 27(15). 2077–2090. 22 indexed citations
19.
Wang, Ruoning, Guangan He, Mayra Nelman‐Gonzalez, et al.. (2007). Regulation of Cdc25C by ERK-MAP Kinases during the G2/M Transition. Cell. 128(6). 1119–1132. 109 indexed citations
20.
He, Guangan, Zahid H. Siddik, Ruoning Wang, et al.. (2005). Induction of p21 by p53 following DNA damage inhibits both Cdk4 and Cdk2 activities. Oncogene. 24(18). 2929–2943. 219 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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