Guanglun Yang

1.1k total citations
18 papers, 856 citations indexed

About

Guanglun Yang is a scholar working on Oncology, Cancer Research and Molecular Biology. According to data from OpenAlex, Guanglun Yang has authored 18 papers receiving a total of 856 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Oncology, 10 papers in Cancer Research and 9 papers in Molecular Biology. Recurrent topics in Guanglun Yang's work include Breast Cancer Treatment Studies (6 papers), Estrogen and related hormone effects (5 papers) and HER2/EGFR in Cancer Research (5 papers). Guanglun Yang is often cited by papers focused on Breast Cancer Treatment Studies (6 papers), Estrogen and related hormone effects (5 papers) and HER2/EGFR in Cancer Research (5 papers). Guanglun Yang collaborates with scholars based in China and United States. Guanglun Yang's co-authors include Gang Tu, Manran Liu, Haojun Luo, Yixuan Hou, Xi Tang, Yan-e Du, Siyang Wen, Xiaojiang Cui, Jie Yuan and Qing Zhu and has published in prestigious journals such as Stem Cells, Cancer Letters and Cell Death and Disease.

In The Last Decade

Guanglun Yang

17 papers receiving 850 citations

Peers

Guanglun Yang

ONCOL

GENET

PFM

Martina L. Skrede Norway

Sally Gaddis United States

Eva Schuster Austria

Rachelle L. Dillon United States

Kirsimari Aaltonen Finland

Tien-Chi Pan United States

Debra Weinstat‐Saslow United States

Christopher J. Sterner United States

Jacob Sabates–Bellver Italy

Daniela Cimino Italy

Martina L. Skrede Norway

Guanglun Yang

520 ×1.0

247 ×0.7

241 ×0.7

ONCOL

172 ×0.9

GENET

66 ×1.0

PFM

Citations per year, relative to Guanglun Yang Guanglun Yang (= 1×) peers Martina L. Skrede

Countries citing papers authored by Guanglun Yang

Since Specialization

Citations

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

Fields of papers citing papers by Guanglun Yang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guanglun Yang

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

All Works

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18 of 18 papers shown

Shi, Yan, et al.. (2025). A causal inference study exploring the impact of iron status on the risk of thyroid cancer based on two-sample mendelian randomization. Discover Oncology. 16(1). 485–485.

Chen, Maoshan, Zhengwei Leng, Guanglun Yang, et al.. (2020). Post-mastectomy Radiotherapy in T1-2 Breast Cancer Patients With One to Three Lymph Node Metastases: A Propensity Score Matching Analysis. Frontiers in Oncology. 9. 10 indexed citations

Tang, Xi, Gang Tu, Guanglun Yang, et al.. (2019). Autocrine TGF-β1/miR-200s/miR-221/DNMT3B regulatory loop maintains CAF status to fuel breast cancer cell proliferation. Cancer Letters. 452. 79–89. 60 indexed citations

Chen, Rui, Chengcheng Yang, Yang Peng, et al.. (2018). Assessment of the predictive role of pretreatment Ki-67 and Ki-67 changes in breast cancer patients receiving neoadjuvant chemotherapy according to the molecular classification: a retrospective study of 1010 patients. Breast Cancer Research and Treatment. 170(1). 35–43. 34 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

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

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

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

10.

Zhou, Mingli, Yixuan Hou, Guanglun Yang, et al.. (2015). LncRNA-Hh Strengthen Cancer Stem Cells Generation in Twist-Positive Breast Cancer via Activation of Hedgehog Signaling Pathway. Stem Cells. 34(1). 55–66. 145 indexed citations

11.

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

12.

Wang, Xiaoyi, Hongyuan Li, Yuxian Wei, et al.. (2013). Main complications and results of treatment with intra-arterial infusion chemotherapy through the subclavian and thoracic arteries for locally advanced breast cancer. Molecular and Clinical Oncology. 1(4). 745–748. 6 indexed citations

13.

Wang, Liyang, Yixuan Hou, Yan Sun, et al.. (2013). c‐Ski activates cancer‐associated fibroblasts to regulate breast cancer cell invasion. Molecular Oncology. 7(6). 1116–1128. 42 indexed citations

14.

Cheng, Hong, Maoshan Chen, & Guanglun Yang. (2013). [Diagnosis and treatment of glucagonoma: report of one case].. PubMed. 33(4). 618–insidebackcover. 1 indexed citations

15.

Mo, Zhiqiang, Manran Liu, Fangfang Yang, et al.. (2013). GPR30 as an initiator of tamoxifen resistance in hormone-dependent breast cancer. Breast Cancer Research. 15(6). R114–R114. 115 indexed citations

16.

Luo, Haojun, Xin Chen, Tu Gang, et al.. (2011). Therapeutic Application of Ultrasound-Guided 8-Gauge Mammotome System in Presumed Benign Breast Lesions. The Breast Journal. 17(5). 490–497. 24 indexed citations

17.

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

18.

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

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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