Gang Tu

1.9k total citations
41 papers, 1.5k citations indexed

About

Gang Tu is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Gang Tu has authored 41 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Molecular Biology, 22 papers in Cancer Research and 17 papers in Oncology. Recurrent topics in Gang Tu's work include Cancer-related molecular mechanisms research (10 papers), RNA modifications and cancer (8 papers) and Estrogen and related hormone effects (8 papers). Gang Tu is often cited by papers focused on Cancer-related molecular mechanisms research (10 papers), RNA modifications and cancer (8 papers) and Estrogen and related hormone effects (8 papers). Gang Tu collaborates with scholars based in China, United States and United Kingdom. Gang Tu's co-authors include Manran Liu, Haojun Luo, Guanglun Yang, Yixuan Hou, Zhimin Liu, Xi Tang, Siyang Wen, Tenghua Yu, Yan-e Du and Xueying Wan and has published in prestigious journals such as Oncogene, The FASEB Journal and Stem Cells.

In The Last Decade

Gang Tu

38 papers receiving 1.5k citations

Peers

Gang Tu

ONCOL

GENET

IMMUN

Cecilia J. Proietti Argentina

Damien Gerald United States

Santhi D. Konduri United States

Didier Meseure France

Anna L. Stratford Canada

Esther Bridges United Kingdom

Kelly A. Avery‐Kiejda Australia

Bárbara Sousa Portugal

Hannah Harrison United Kingdom

Wan-Ching Yen United States

Cecilia J. Proietti Argentina

Gang Tu

691 ×0.7

298 ×0.5

689 ×1.2

ONCOL

327 ×1.1

GENET

191 ×1.5

IMMUN

Citations per year, relative to Gang Tu Gang Tu (= 1×) peers Cecilia J. Proietti

Countries citing papers authored by Gang Tu

Since Specialization

Citations

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

Fields of papers citing papers by Gang Tu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gang Tu

This figure shows the co-authorship network connecting the top 25 collaborators of Gang Tu. A scholar is included among the top collaborators of Gang 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 Gang Tu. Gang Tu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Chen, Jian, et al.. (2025). SIGLEC15 modulates the immunosuppressive microenvironment and suppresses malignant phenotypes in triple-negative breast cancer. Genes & Diseases. 13(1). 101799–101799.

Tu, Gang, Farshad Abedi, Arthur Chang, et al.. (2025). Safety of subconjunctival injection of mesenchymal stromal cells in persistent corneal epithelial disease – A phase 1b clinical trial. The Ocular Surface. 38. 8–13. 2 indexed citations

Wang, Haozhe, Yue Wang, Bowen Song, et al.. (2024). Statistical modeling of single-cell epitranscriptomics enabled trajectory and regulatory inference of RNA methylation. Cell Genomics. 5(1). 100702–100702. 2 indexed citations

Su, Jialin, et al.. (2024). Surgical margins and prognosis of borderline and malignant phyllodes tumors. Clinical & Translational Oncology. 26(7). 1613–1622. 4 indexed citations

Tang, Lingfeng, et al.. (2022). Exploring the influencing factors of the pathologic complete response in estrogen receptor-positive, HER2-negative breast cancer after neoadjuvant chemotherapy: a retrospective study. World Journal of Surgical Oncology. 20(1). 27–27. 13 indexed citations

He, Lin, Lingfeng Tang, Rui Wang, et al.. (2022). Long noncoding RNA KB-1980E6.3 promotes breast cancer progression through the PI3K/AKT signalling pathway. Pathology - Research and Practice. 234. 153891–153891. 6 indexed citations

Lang, Lei, Yixuan Hou, Yanlin Chen, et al.. (2018). ATM-Mediated Phosphorylation of Cortactin Involved in Actin Polymerization Promotes Breast Cancer Cells Migration and Invasion. Cellular Physiology and Biochemistry. 51(6). 2972–2988. 19 indexed citations

Du, Yan-e, Gang Tu, Guanglun Yang, et al.. (2017). MiR-205/YAP1 in Activated Fibroblasts of Breast Tumor Promotes VEGF-independent Angiogenesis through STAT3 Signaling. Theranostics. 7(16). 3972–3988. 89 indexed citations

Yin, Heng, Qing Zhu, Manran Liu, et al.. (2017). GPER promotes tamoxifen-resistance in ER+ breast cancer cells by reduced Bim proteins through MAPK/Erk-TRIM2 signaling axis. International Journal of Oncology. 51(4). 1191–1198. 59 indexed citations

10.

Xu, Liyun, Yixuan Hou, Gang Tu, et al.. (2017). Nuclear Drosha enhances cell invasion via an EGFR-ERK1/2-MMP7 signaling pathway induced by dysregulated miRNA-622/197 and their targets LAMC2 and CD82 in gastric cancer. Cell Death and Disease. 8(3). e2642–e2642. 64 indexed citations

11.

Luo, Haojun, Manran Liu, Tenghua Yu, et al.. (2016). Dynamic monitoring of GPER-mediated estrogenic effects in breast cancer associated fibroblasts: An alternative role of estrogen in mammary carcinoma development. Steroids. 112. 1–11. 15 indexed citations

12.

Luo, Haojun, Gang Tu, Zhimin Liu, & Manran Liu. (2015). Cancer-associated fibroblasts: A multifaceted driver of breast cancer progression. Cancer Letters. 361(2). 155–163. 169 indexed citations

13.

Yuan, Jie, Manran Liu, Li Yang, et al.. (2015). Acquisition of epithelial-mesenchymal transition phenotype in the tamoxifen-resistant breast cancer cell: a new role for G protein-coupled estrogen receptor in mediating tamoxifen resistance through cancer-associated fibroblast-derived fibronectin and β1-integrin signaling pathway in tumor cells. Breast Cancer Research. 17(1). 69–69. 104 indexed citations

14.

Yu, Tenghua, Manran Liu, Haojun Luo, et al.. (2014). GPER mediates enhanced cell viability and motility via non-genomic signaling induced by 17β-estradiol in triple-negative breast cancer cells. The Journal of Steroid Biochemistry and Molecular Biology. 143. 392–403. 70 indexed citations

15.

Luo, Haojun, Guanglun Yang, Tenghua Yu, et al.. (2014). GPER-mediated proliferation and estradiol production in breast cancer-associated fibroblasts. Endocrine Related Cancer. 21(2). 355–369. 74 indexed citations

16.

Tu, Gang, et al.. (2009). The Correlation between GPR30 and Clinicopathologic Variables in Breast Carcinomas. Technology in Cancer Research & Treatment. 8(3). 231–234. 13 indexed citations

17.

Yang, Guanglun, et al.. (2009). The effects of PDTC plus leflunomide and cyclosporine on the NF-κB signaling pathway in mouse-to-rat cardiac xenografts. Journal of Huazhong University of Science and Technology [Medical Sciences]. 29(2). 202–206. 1 indexed citations

18.

Tu, Gang. (2007). Expression of NF-κB P65 in mouse to rat cardiac xenograft model. Di-san junyi daxue xuebao. 1 indexed citations

19.

Tu, Gang, et al.. (2004). Pyrrolidine dithiocarbamate inhibits NF-κB activation and enhances TNF-induced apoptosis in human breast cancer cells. Chinese Journal of Cancer Research. 16(2). 99–104. 2 indexed citations

20.

Yu, Tinghe, et al.. (2004). The use of models in “target” theory to evaluate the survival curves of human ovarian carcinoma cell line exposure to adriamycin combined with ultrasound. Ultrasonics Sonochemistry. 12(5). 345–348. 10 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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