Tan Wu

507 total citations
23 papers, 333 citations indexed

About

Tan Wu is a scholar working on Molecular Biology, Cancer Research and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Tan Wu has authored 23 papers receiving a total of 333 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 10 papers in Cancer Research and 4 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Tan Wu's work include RNA Research and Splicing (9 papers), MicroRNA in disease regulation (6 papers) and Cancer-related molecular mechanisms research (6 papers). Tan Wu is often cited by papers focused on RNA Research and Splicing (9 papers), MicroRNA in disease regulation (6 papers) and Cancer-related molecular mechanisms research (6 papers). Tan Wu collaborates with scholars based in China, Hong Kong and United States. Tan Wu's co-authors include Yanjun Xu, Xia Li, Feng Li, Yunpeng Zhang, Zeguo Sun, Xinrui Shi, Jing Li, Xin Wang, Yingqi Xu and Hao Huang and has published in prestigious journals such as Science, Neuron and Advanced Functional Materials.

In The Last Decade

Tan Wu

21 papers receiving 327 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tan Wu China 8 250 202 27 23 21 23 333
Yongwei Xiao China 5 256 1.0× 152 0.8× 23 0.9× 42 1.8× 18 0.9× 6 330
Dongqin Xu China 7 221 0.9× 157 0.8× 14 0.5× 33 1.4× 21 1.0× 13 323
Sushmaa Chandralekha Selvakumar India 8 279 1.1× 199 1.0× 35 1.3× 24 1.0× 12 0.6× 18 374
Xinyan Zhou China 9 273 1.1× 215 1.1× 20 0.7× 16 0.7× 19 0.9× 24 367
Elizabeth G. Hunt United States 7 236 0.9× 81 0.4× 29 1.1× 13 0.6× 28 1.3× 8 338
Qing Mao China 6 278 1.1× 152 0.8× 20 0.7× 18 0.8× 19 0.9× 8 378

Countries citing papers authored by Tan Wu

Since Specialization
Citations

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

Fields of papers citing papers by Tan Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tan Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Tan Wu. A scholar is included among the top collaborators of Tan 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 Tan Wu. Tan 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.
Shao, Changwei, Yajing Hao, Li Jiang, et al.. (2025). Dynamic U2AF cycling defines two phases of cotranscriptional pre-mRNA splicing. Science. 389(6767). eadj9141–eadj9141.
3.
Wang, Miao, Qian Chen, Zideng Dai, et al.. (2025). A Responsive Hydrogel Containing Bimetallic MOF Enabling Amplified Ferroptosis for Cancer Therapy via Dual Cellular Homeostasis Disruption. Advanced Functional Materials. 36(3). 3 indexed citations
4.
Hu, Jianyang, Lin He, Hao Huang, et al.. (2025). Targeting TUBB2B inhibits triple-negative breast cancer growth and brain-metastatic colonization. Journal of Experimental & Clinical Cancer Research. 44(1). 55–55. 3 indexed citations
5.
Hu, Jianyang, Hao Huang, Tan Wu, et al.. (2024). FOSL1 is a key regulator of a super-enhancer driving TCOF1 expression in triple-negative breast cancer. Epigenetics & Chromatin. 17(1). 34–34. 1 indexed citations
6.
Li, Xiaohong, Jufeng Chen, Zideng Dai, et al.. (2024). Enzyme-like biomimetic oral-agent enabling modulating gut microbiota and restoring redox homeostasis to treat inflammatory bowel disease. Bioactive Materials. 35. 167–180. 38 indexed citations
7.
Back, Tim R. de, Tan Wu, Sanne ten Hoorn, et al.. (2024). A consensus molecular subtypes classification strategy for clinical colorectal cancer tissues. Life Science Alliance. 7(8). e202402730–e202402730. 4 indexed citations
8.
Au, Ngan Pan Bennett, Tan Wu, Gajendra Kumar, et al.. (2023). Low-dose ionizing radiation promotes motor recovery and brain rewiring by resolving inflammatory response after brain injury and stroke. Brain Behavior and Immunity. 115. 43–63. 8 indexed citations
9.
Au, Ngan Pan Bennett, Tan Wu, Xinyu Chen, et al.. (2023). Genome-wide study reveals novel roles for formin-2 in axon regeneration as a microtubule dynamics regulator and therapeutic target for nerve repair. Neuron. 111(24). 3970–3987.e8. 11 indexed citations
10.
Jiang, Li, Tan Wu, Kai Song, et al.. (2022). Integrative network analysis reveals subtype-specific long non-coding RNA regulatory mechanisms in head and neck squamous cell carcinoma. Computational and Structural Biotechnology Journal. 21. 535–549. 6 indexed citations
11.
Wu, Tan, Hao Huang, & Xin Wang. (2022). Dissecting super-enhancer heterogeneity: time to re-examine cancer subtypes?. Trends in Genetics. 38(12). 1199–1203. 4 indexed citations
12.
Wu, Tan, et al.. (2021). Attention to time-of-day variability improves the reproducibility of gene expression patterns in multiple sclerosis. iScience. 24(11). 103247–103247. 4 indexed citations
13.
Chen, Yu, Tan Wu, Zhongxu Zhu, et al.. (2021). An integrated workflow for biomarker development using microRNAs in extracellular vesicles for cancer precision medicine. Seminars in Cancer Biology. 74. 134–155. 15 indexed citations
14.
Lin, Qi, Wei Wang, Tan Wu, et al.. (2021). Multi-Omics Data Fusion for Cancer Molecular Subtyping Using Sparse Canonical Correlation Analysis. Frontiers in Genetics. 12. 607817–607817. 15 indexed citations
15.
Zhang, Chunlong, Yanjun Xu, Haixiu Yang, et al.. (2017). sPAGM: inferring subpathway activity by integrating gene and miRNA expression-robust functional signature identification for melanoma prognoses. Scientific Reports. 7(1). 15322–15322. 4 indexed citations
16.
Zhang, Chunlong, Yanjun Xu, Haixiu Yang, et al.. (2017). Integrating gene and lncRNA expression to infer subpathway activity for tumor analyses. Oncotarget. 8(67). 111433–111443. 1 indexed citations
17.
19.
Zhang, Yunpeng, Yanjun Xu, Feng Li, et al.. (2016). Comprehensive characterization of lncRNA-mRNA related ceRNA network across 12 major cancers. Oncotarget. 7(39). 64148–64167. 153 indexed citations
20.
Wu, Tan, Q Li, Tao Wu, & Hui Liu. (2014). Identification of Biological Targets of Therapeutic Intervention for Diabetic Nephropathy with Bioinformatics Approach. Experimental and Clinical Endocrinology & Diabetes. 122(10). 587–591. 5 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026