Gehao Liang

1.4k total citations
29 papers, 1.1k citations indexed

About

Gehao Liang is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Gehao Liang has authored 29 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 14 papers in Cancer Research and 9 papers in Oncology. Recurrent topics in Gehao Liang's work include Circular RNAs in diseases (7 papers), Cancer-related molecular mechanisms research (6 papers) and MicroRNA in disease regulation (5 papers). Gehao Liang is often cited by papers focused on Circular RNAs in diseases (7 papers), Cancer-related molecular mechanisms research (6 papers) and MicroRNA in disease regulation (5 papers). Gehao Liang collaborates with scholars based in China, United Kingdom and United States. Gehao Liang's co-authors include Chang Gong, Weige Tan, Zihao Liu, Erwei Song, Luyuan Tan, Yun Ling, Wenjing Zhong, You Zhou, Shaohua Qu and Wei Luo and has published in prestigious journals such as Nature Communications, Journal of Clinical Oncology and Cancer Research.

In The Last Decade

Gehao Liang

27 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Gehao Liang China 15 894 843 132 127 44 29 1.1k
Joanna Stefano United States 5 1.1k 1.2× 901 1.1× 186 1.4× 126 1.0× 38 0.9× 6 1.3k
Kefeng Wang China 20 1.0k 1.2× 909 1.1× 83 0.6× 110 0.9× 44 1.0× 43 1.2k
Zerong Cai China 10 1.0k 1.1× 750 0.9× 125 0.9× 77 0.6× 35 0.8× 25 1.2k
Shengchun Wang China 13 713 0.8× 466 0.6× 98 0.7× 60 0.5× 45 1.0× 36 965
Junchen Hou China 14 1.2k 1.3× 1.1k 1.3× 83 0.6× 54 0.4× 28 0.6× 21 1.3k
Tingting Shao China 17 865 1.0× 754 0.9× 56 0.4× 46 0.4× 27 0.6× 39 1.0k
Wenwei Hu China 15 903 1.0× 706 0.8× 104 0.8× 87 0.7× 38 0.9× 24 1.1k
Shuxin Wen China 18 601 0.7× 394 0.5× 196 1.5× 123 1.0× 52 1.2× 62 950

Countries citing papers authored by Gehao Liang

Since Specialization
Citations

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

Fields of papers citing papers by Gehao Liang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gehao Liang

This figure shows the co-authorship network connecting the top 25 collaborators of Gehao Liang. A scholar is included among the top collaborators of Gehao Liang 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 Gehao Liang. Gehao Liang 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.
Liang, Gehao, et al.. (2025). The biological function and prognostic significance of ferroptosis-related genes in clear cell renal cell carcinoma. Frontiers in Pharmacology. 16. 1515552–1515552. 2 indexed citations
2.
Li, Na, Yan Wang, Tian Du, et al.. (2025). Promising Response to Neoadjuvant Chemotherapy Plus Immunotherapy in Metaplastic Breast Carcinoma. Breast Cancer Targets and Therapy. Volume 17. 447–454. 1 indexed citations
3.
Chen, Da, et al.. (2024). UCK2 promotes intrahepatic cholangiocarcinoma progression and desensitizes cisplatin treatment by PI3K/AKT/mTOR/autophagic axis. Cell Death Discovery. 10(1). 375–375. 3 indexed citations
4.
He, Jiawei, Hongmei Li, Bingchang Zhang, et al.. (2024). Convolutional neural network-assisted Raman spectroscopy for high-precision diagnosis of glioblastoma. Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy. 329. 125615–125615. 2 indexed citations
5.
Zhang, Ying–Jun Angela, et al.. (2023). Cuproptosis-related lncRNAs potentially predict prognosis and therapy sensitivity of breast cancer. Frontiers in Pharmacology. 14. 1199883–1199883. 11 indexed citations
6.
Ling, Yun, Gehao Liang, Qun Lin, et al.. (2022). circCDYL2 promotes trastuzumab resistance via sustaining HER2 downstream signaling in breast cancer. Molecular Cancer. 21(1). 8–8. 67 indexed citations
7.
Lin, Qun, Xiaolin Fang, Gehao Liang, et al.. (2021). Silencing CTNND1 Mediates Triple-Negative Breast Cancer Bone Metastasis via Upregulating CXCR4/CXCL12 Axis and Neutrophils Infiltration in Bone. Cancers. 13(22). 5703–5703. 26 indexed citations
8.
Zhang, Kaiming, Tian Du, Gehao Liang, et al.. (2021). A Ferroptosis-Related lncRNAs Signature Predicts Prognosis and Immune Microenvironment for Breast Cancer. Frontiers in Molecular Biosciences. 8. 678877–678877. 63 indexed citations
9.
Zhang, Kaiming, Tian Du, Yan Wang, et al.. (2021). A Novel Systematic Oxidative Stress Score Predicts the Prognosis of Patients with Operable Breast Cancer. Oxidative Medicine and Cellular Longevity. 2021(1). 9441896–9441896. 24 indexed citations
10.
Chen, Youyuan, Peiyi Ye, Yu Zhang, et al.. (2021). Nomogram predicting the risk of three-year chronic kidney disease adverse outcomes among East Asian patients with CKD. BMC Nephrology. 22(1). 322–322. 1 indexed citations
11.
Zhong, Wenjing, Yaping Yang, Ailing Zhang, et al.. (2020). Prognostic and predictive value of the combination of TOP2A and HER2 in node-negative tumors 2 cm or smaller (T1N0) breast cancer. Breast Cancer. 27(6). 1147–1157. 8 indexed citations
12.
Gong, Chang, Wanyi Lin, Yaping Yang, et al.. (2020). Effect of Low & High Vacuum Drainage on the Postoperative Drainage of Breast Cancer: Insights from a Prospective, Randomized Clinical Trial. Journal of the American College of Surgeons. 231(4). e83–e84.
13.
Lin, Wanyi, Yaping Yang, Wenjing Zhong, et al.. (2020). <p>The Effect of Low and High Vacuum Drainage on the Postoperative Drainage of Breast Cancer: Insights from a Prospective, Non-Inferiority, Randomized Clinical Trial</p>. Cancer Management and Research. Volume 12. 12487–12496. 7 indexed citations
14.
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
15.
Ding, Yi, Chang Gong, De Huang, et al.. (2018). Synthetic lethality between HER2 and transaldolase in intrinsically resistant HER2-positive breast cancers. Nature Communications. 9(1). 4274–4274. 27 indexed citations
16.
Liang, Gehao, et al.. (2017). HIF1α-associated circDENND4C Promotes Proliferation of Breast Cancer Cells in Hypoxic Environment. Anticancer Research. 37(8). 4337–4343. 90 indexed citations
17.
Liu, Zihao, et al.. (2017). High-efficient Screening Method for Identification of Key Genes in Breast Cancer Through Microarray and Bioinformatics. Anticancer Research. 37(8). 4329–4335. 12 indexed citations
18.
Liu, Zihao, Andrew J. Sanders, Gehao Liang, et al.. (2017). Hey Factors at the Crossroad of Tumorigenesis and Clinical Therapeutic Modulation of Hey for Anticancer Treatment. Molecular Cancer Therapeutics. 16(5). 775–786. 14 indexed citations
19.
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
20.
Zhang, Dongjing, Xiaohan Yang, Gehao Liang, et al.. (2013). A field survey for Wolbchia and phage WO infections of Aedes albopictus in Guangzhou City, China. Parasitology Research. 113(1). 399–404. 20 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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