Weige Tan

1.6k total citations
24 papers, 1.2k citations indexed

About

Weige Tan is a scholar working on Cancer Research, Molecular Biology and Oncology. According to data from OpenAlex, Weige Tan has authored 24 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Cancer Research, 13 papers in Molecular Biology and 13 papers in Oncology. Recurrent topics in Weige Tan's work include MicroRNA in disease regulation (10 papers), Cancer Cells and Metastasis (8 papers) and Circular RNAs in diseases (6 papers). Weige Tan is often cited by papers focused on MicroRNA in disease regulation (10 papers), Cancer Cells and Metastasis (8 papers) and Circular RNAs in diseases (6 papers). Weige Tan collaborates with scholars based in China, United Kingdom and France. Weige Tan's co-authors include Chang Gong, Gehao Liang, Erwei Song, Shaohua Qu, Bodu Liu, Wenjing Zhong, Zihao Liu, You Zhou, Yun Ling and Wei Luo and has published in prestigious journals such as Journal of Biological Chemistry, Nature Communications and International Journal of Cancer.

In The Last Decade

Weige Tan

24 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Weige Tan China 17 951 849 198 76 63 24 1.2k
Mayuko Furuta Japan 9 980 1.0× 901 1.1× 99 0.5× 48 0.6× 54 0.9× 13 1.2k
Hong‐Li Jiao China 18 821 0.9× 605 0.7× 143 0.7× 66 0.9× 47 0.7× 25 978
Zhangding Wang China 15 1.3k 1.4× 893 1.1× 182 0.9× 115 1.5× 53 0.8× 37 1.5k
Jianxin Zhong China 18 754 0.8× 611 0.7× 161 0.8× 76 1.0× 46 0.7× 24 917
Huajie Song China 19 1.1k 1.1× 798 0.9× 101 0.5× 64 0.8× 78 1.2× 29 1.2k
Lili Zhu China 19 996 1.0× 504 0.6× 104 0.5× 84 1.1× 97 1.5× 37 1.2k
Joanna Stefano United States 5 1.1k 1.1× 901 1.1× 186 0.9× 126 1.7× 53 0.8× 6 1.3k
Marco Galasso Italy 19 1.2k 1.3× 1.1k 1.3× 137 0.7× 117 1.5× 102 1.6× 30 1.5k
Ran‐Ran Ma China 18 757 0.8× 597 0.7× 132 0.7× 87 1.1× 69 1.1× 38 958
Scott A. Shell United States 10 748 0.8× 473 0.6× 167 0.8× 91 1.2× 61 1.0× 20 1.0k

Countries citing papers authored by Weige Tan

Since Specialization
Citations

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

Fields of papers citing papers by Weige Tan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Weige Tan

This figure shows the co-authorship network connecting the top 25 collaborators of Weige Tan. A scholar is included among the top collaborators of Weige Tan 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 Weige Tan. Weige Tan 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.
Hou, Peng, Weige Tan, Sen Zhong, et al.. (2025). Integrated [18F]FAPI-42 PET/MR improves diagnostic accuracy in breast cancer: comparison with simultaneously acquired breast MRI. European Journal of Nuclear Medicine and Molecular Imaging. 53(2). 1004–1014. 1 indexed citations
2.
Qiu, Yu, Rong Liu, Shanshan Huang, et al.. (2025). OTUB2 promotes proliferation and metastasis of triple-negative breast cancer by deubiquitinating TRAF6. Oncology Research Featuring Preclinical and Clinical Cancer Therapeutics. 33(5). 1135–1147. 1 indexed citations
3.
Wu, Linyu, Shanshan Huang, W. H. Tian, et al.. (2024). PIWI-interacting RNA-YBX1 inhibits proliferation and metastasis by the MAPK signaling pathway via YBX1 in triple-negative breast cancer. Cell Death Discovery. 10(1). 7–7. 25 indexed citations
4.
Zhang, Meilan, et al.. (2024). The role of circRNAs and miRNAs in drug resistance and targeted therapy responses in breast cancer. Cancer Drug Resistance. 7. 30–30. 5 indexed citations
5.
Huang, Xiaojia, Weige Tan, Ziteng Liu, et al.. (2023). EIF4A3-induced circZFAND6 promotes breast cancer proliferation and metastasis through the miR-647/FASN axis. Life Sciences. 324. 121745–121745. 27 indexed citations
6.
Yang, Yaping, Wenqian Yang, Li Ling, et al.. (2023). Association of FTH1-Expressing Circulating Tumor Cells With Efficacy of Neoadjuvant Chemotherapy for Patients With Breast Cancer: A Prospective Cohort Study. The Oncologist. 29(1). e25–e37. 2 indexed citations
7.
Liang, Gehao, Yun Ling, Maryam Mehrpour, et al.. (2020). Autophagy-associated circRNA circCDYL augments autophagy and promotes breast cancer progression. Molecular Cancer. 19(1). 65–65. 189 indexed citations
8.
Liu, Zihao, You Zhou, Gehao Liang, et al.. (2019). Circular RNA hsa_circ_001783 regulates breast cancer progression via sponging miR-200c-3p. Cell Death and Disease. 10(2). 55–55. 268 indexed citations
9.
Pan, Lingxiao, Changsheng Ye, Lun Chen, et al.. (2019). Oncologic outcomes and radiation safety of nipple-sparing mastectomy with intraoperative radiotherapy for breast cancer. Breast Cancer. 26(5). 618–627. 8 indexed citations
10.
Tan, Weige, Gehao Liang, Xinhua Xie, et al.. (2019). Incorporating MicroRNA into Molecular Phenotypes of Circulating Tumor Cells Enhances the Prognostic Accuracy for Patients with Metastatic Breast Cancer. The Oncologist. 24(11). e1044–e1054. 17 indexed citations
11.
Tan, Weige, Xinhua Xie, Lun Chen, et al.. (2019). Construction of an immune-related genes nomogram for the preoperative prediction of axillary lymph node metastasis in triple-negative breast cancer. Artificial Cells Nanomedicine and Biotechnology. 48(1). 288–297. 19 indexed citations
12.
Tang, Wei, Xiaoshen Zhang, Weige Tan, et al.. (2018). miR-145-5p Suppresses Breast Cancer Progression by Inhibiting SOX2. Journal of Surgical Research. 236. 278–287. 69 indexed citations
13.
Xie, Xinhua, Weige Tan, Bo Chen, et al.. (2017). Preoperative prediction nomogram based on primary tumor miRNAs signature and clinical‐related features for axillary lymph node metastasis in early‐stage invasive breast cancer. International Journal of Cancer. 142(9). 1901–1910. 40 indexed citations
14.
Tan, Weige, Bodu Liu, Shaohua Qu, et al.. (2017). MicroRNAs and cancer: Key paradigms in molecular therapy (Review). Oncology Letters. 15(3). 2735–2742. 162 indexed citations
15.
Gong, Chang, Weige Tan, Kai Chen, et al.. (2016). Prognostic Value of a BCSC-associated MicroRNA Signature in Hormone Receptor-Positive HER2-Negative Breast Cancer. EBioMedicine. 11. 199–209. 44 indexed citations
16.
17.
Tan, Weige, Xinhua Xie, Laisheng Li, et al.. (2016). Diagnostic and prognostic value of serum MACC1 in breast cancer patients. Oncotarget. 7(51). 84408–84415. 20 indexed citations
18.
Tan, Weige, Qian Li, Kai Chen, et al.. (2016). Estrogen receptor beta as a prognostic factor in breast cancer patients: A systematic review and meta-analysis. Oncotarget. 7(9). 10373–10385. 34 indexed citations
19.
Gong, Chang, Bodu Liu, Yandan Yao, et al.. (2015). Potentiated DNA Damage Response in Circulating Breast Tumor Cells Confers Resistance to Chemotherapy. Journal of Biological Chemistry. 290(24). 14811–14825. 33 indexed citations
20.
Gong, Chang, Shaohua Qu, Bodu Liu, et al.. (2014). BRMS1L suppresses breast cancer metastasis by inducing epigenetic silence of FZD10. Nature Communications. 5(1). 5406–5406. 87 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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