Tingting Wu

1.2k total citations
44 papers, 842 citations indexed

About

Tingting Wu is a scholar working on Molecular Biology, Immunology and Cell Biology. According to data from OpenAlex, Tingting Wu has authored 44 papers receiving a total of 842 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Molecular Biology, 14 papers in Immunology and 5 papers in Cell Biology. Recurrent topics in Tingting Wu's work include Immune cells in cancer (7 papers), Immune Cell Function and Interaction (5 papers) and Immune Response and Inflammation (5 papers). Tingting Wu is often cited by papers focused on Immune cells in cancer (7 papers), Immune Cell Function and Interaction (5 papers) and Immune Response and Inflammation (5 papers). Tingting Wu collaborates with scholars based in China, United States and Czechia. Tingting Wu's co-authors include Yong Zhao, Yang Zhao, Tobias Baumgart, Bingyi Shi, Zheng Shi, Ruoyu Wang, Benjamin R. Capraro, Zhigang Li, Chenming Sun and Lijuan Shao and has published in prestigious journals such as Journal of Biological Chemistry, Angewandte Chemie International Edition and The Journal of Immunology.

In The Last Decade

Tingting Wu

40 papers receiving 835 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tingting Wu China 15 391 339 116 116 71 44 842
Michael Alexander United States 9 360 0.9× 356 1.1× 53 0.5× 59 0.5× 64 0.9× 14 965
Linda Julian United Kingdom 8 198 0.5× 592 1.7× 152 1.3× 174 1.5× 137 1.9× 15 970
Gábor Koncz Hungary 17 487 1.2× 417 1.2× 194 1.7× 40 0.3× 60 0.8× 43 1.0k
Li‐Ping Liu China 14 240 0.6× 324 1.0× 214 1.8× 46 0.4× 35 0.5× 39 864
Hannah Schneider Switzerland 17 173 0.4× 371 1.1× 204 1.8× 44 0.4× 93 1.3× 35 943
Arno Kalkuhl Germany 19 163 0.4× 424 1.3× 103 0.9× 62 0.5× 116 1.6× 34 948
Zhongbin Bai Japan 10 372 1.0× 309 0.9× 230 2.0× 82 0.7× 28 0.4× 15 809
Judit Baffi United States 17 311 0.8× 731 2.2× 65 0.6× 59 0.5× 80 1.1× 24 1.5k

Countries citing papers authored by Tingting Wu

Since Specialization
Citations

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

Fields of papers citing papers by Tingting Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tingting Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Tingting Wu. A scholar is included among the top collaborators of Tingting 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 Tingting Wu. Tingting 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.
Wu, Tingting, Ying Xiong, Lei Wang, et al.. (2025). Accelerated aging mediates the association between rheumatoid arthritis and depression severity. Journal of Affective Disorders. 379. 861–869.
2.
Wu, Tingting, Yali Chen, Hong Wu, et al.. (2025). Supramolecular Host–Guest Assemblies for Tunable and Modular Lysosome‐Targeting Protein Degradation. Angewandte Chemie International Edition. 64(33). e202506618–e202506618.
3.
Wu, Tingting, Danyan Cao, Yali Chen, et al.. (2025). Multi-Water Bridges Enable Design of BET BD1-Selective Inhibitors for Pancreatic Cancer Therapy. Journal of Medicinal Chemistry. 68(5). 5719–5735. 4 indexed citations
4.
Xie, Xiaohu, Tingting Wu, Wenwen Shen, et al.. (2025). Association Between the (GT)26 Allele in the GRIN2A Promoter and Opioid Use Disorder. Psychiatry Investigation. 22(6). 730–735.
5.
6.
Wu, Tingting, et al.. (2024). Targeting bromodomian-containing protein 8 (BRD8): An advanced tool to interrogate BRD8. European Journal of Medicinal Chemistry. 268. 116271–116271. 1 indexed citations
7.
Li, Zhigang, et al.. (2024). Cell-free DNA methylation signatures reflect the risk of vascular endothelial cell injury associated with traffic-related air pollution. The Science of The Total Environment. 958. 177906–177906. 2 indexed citations
8.
Wu, Tingting, et al.. (2023). TGF-β Regulates m6A RNA Methylation after PM2.5 Exposure. Toxics. 11(12). 1026–1026. 2 indexed citations
9.
Chen, Xuetao, Tingting Wu, Rujun Xu, et al.. (2023). Discovery of a brain-permeable bromodomain and extra terminal domain (BET) inhibitor with selectivity for BD1 for the treatment of multiple sclerosis. European Journal of Medicinal Chemistry. 265. 116080–116080. 10 indexed citations
10.
Xie, Xiaohu, Jun Gu, Tingting Wu, et al.. (2023). Association of GABA receptor delta subunit gene variations with increased risk of methamphetamine dependence. Neuroscience Letters. 800. 137137–137137. 2 indexed citations
11.
Li, Cuixia, Yiran Wu, Wenli Wang, et al.. (2023). Structure-Based Ligand Discovery Targeting the Transmembrane Domain of Frizzled Receptor FZD7. Journal of Medicinal Chemistry. 66(17). 11855–11868. 8 indexed citations
12.
Gordon, Brent M., Marta Epeldegui, Otoniel Martı́nez-Maza, et al.. (2023). Characterization of T Follicular Helper Cells and T Follicular Regulatory Cells in HIV-Infected and Sero-Negative Individuals. Cells. 12(2). 296–296. 1 indexed citations
13.
Xie, Xiang, et al.. (2022). circ-CCND1 regulates the CCND1/P53/P21 pathway through sponging miR-138-5p in valve interstitial cells to aggravate aortic valve calcification. Journal of Physiology and Biochemistry. 78(4). 845–854. 6 indexed citations
14.
Han, Chenlu, Tingting Wu, Ning Na, et al.. (2016). The effect of immunosuppressive drug cyclosporine A on myeloid-derived suppressor cells in transplanted mice. Inflammation Research. 65(9). 679–688. 22 indexed citations
15.
Wu, Tingting, Yang Zhao, Hao Wang, et al.. (2016). mTOR masters monocytic myeloid-derived suppressor cells in mice with allografts or tumors. Scientific Reports. 6(1). 20250–20250. 100 indexed citations
16.
Li, Huayin, Bang‐Dang Chen, Yi‐Ning Yang, et al.. (2015). GW26-e2161 Optimal Cutoff of the Triglyceride to High-Density-Lipoprotein Cholesterol Ratio to Detect Cardiovascular Risk Factors Among Han Adults in Xinjiang. Journal of the American College of Cardiology. 66(16). C1–C1.
17.
Wu, Tingting, et al.. (2014). The roles of myeloid-derived suppressor cells in transplantation. Expert Review of Clinical Immunology. 10(10). 1385–1394. 29 indexed citations
18.
Peng, Tao, Xuhong Zhou, Min Hu, & Tingting Wu. (2014). [Clinical significance of miRNA-204 in nasopharyngeal carcinoma].. PubMed. 28(22). 1780–2. 1 indexed citations
19.
Capraro, Benjamin R., Zheng Shi, Tingting Wu, et al.. (2013). Kinetics of Endophilin N-BAR Domain Dimerization and Membrane Interactions. Journal of Biological Chemistry. 288(18). 12533–12543. 32 indexed citations
20.
Wu, Tingting, Lianjun Zhang, Kerui Xu, et al.. (2012). Immunosuppressive drugs on inducing Ag-specific CD4+CD25+Foxp3+ Treg cells during immune response in vivo. Transplant Immunology. 27(1). 30–38. 37 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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