Peng Liang

699 total citations
31 papers, 460 citations indexed

About

Peng Liang is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Genetics. According to data from OpenAlex, Peng Liang has authored 31 papers receiving a total of 460 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 10 papers in Pulmonary and Respiratory Medicine and 8 papers in Genetics. Recurrent topics in Peng Liang's work include Glioma Diagnosis and Treatment (8 papers), Ferroptosis and cancer prognosis (4 papers) and Cancer-related molecular mechanisms research (4 papers). Peng Liang is often cited by papers focused on Glioma Diagnosis and Treatment (8 papers), Ferroptosis and cancer prognosis (4 papers) and Cancer-related molecular mechanisms research (4 papers). Peng Liang collaborates with scholars based in China, United States and United Kingdom. Peng Liang's co-authors include Hongbo Bao, Zhen-Zhe Li, Jixing Zhang, Hua Jin, Haitao Tang, Jiaxin Zhao, Weiliang Wang, Jianzhou Tang, Hua Mei and Xinghan Liu and has published in prestigious journals such as International Journal of Cancer, Human Brain Mapping and European Journal of Medicinal Chemistry.

In The Last Decade

Peng Liang

29 papers receiving 453 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Peng Liang China 12 260 138 75 63 53 31 460
Guohui Zhong China 12 496 1.9× 230 1.7× 76 1.0× 96 1.5× 44 0.8× 26 833
Claire J. Cairney United Kingdom 17 453 1.7× 150 1.1× 102 1.4× 54 0.9× 59 1.1× 24 784
Anna‐Lotta Hallbeck Sweden 11 290 1.1× 83 0.6× 154 2.1× 67 1.1× 80 1.5× 18 539
Xiuye Ma United States 15 388 1.5× 246 1.8× 74 1.0× 43 0.7× 19 0.4× 32 571
Jacqueline Sayyah United States 9 368 1.4× 78 0.6× 178 2.4× 47 0.7× 67 1.3× 11 534
Agnese Di Rocco United States 12 282 1.1× 105 0.8× 115 1.5× 84 1.3× 25 0.5× 13 447
Maria Maddalena Angioni Italy 9 288 1.1× 106 0.8× 37 0.5× 66 1.0× 36 0.7× 26 555
Shigeru Daido Japan 9 577 2.2× 160 1.2× 124 1.7× 49 0.8× 82 1.5× 17 966
Anna Emde Israel 9 330 1.3× 141 1.0× 141 1.9× 32 0.5× 86 1.6× 15 557
Elias A. El-Habr France 14 267 1.0× 133 1.0× 130 1.7× 57 0.9× 128 2.4× 21 484

Countries citing papers authored by Peng Liang

Since Specialization
Citations

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

Fields of papers citing papers by Peng Liang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peng Liang

This figure shows the co-authorship network connecting the top 25 collaborators of Peng Liang. A scholar is included among the top collaborators of Peng 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 Peng Liang. Peng 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.
2.
Ge, Haitao, Kaibin Zhu, Qian Sun, et al.. (2024). The clinical, molecular, and therapeutic implications of time from primary diagnosis to brain metastasis in lung and breast cancer patients. Cancer Medicine. 13(11). e7364–e7364. 2 indexed citations
3.
4.
Bao, Hongbo, Shuai Wang, Yinyan Wang, et al.. (2024). Multi‐scale brain attributes contribute to the distribution of diffuse glioma subtypes. International Journal of Cancer. 155(9). 1670–1683. 4 indexed citations
5.
Bao, Hongbo, Xia Liang, Yan Bai, et al.. (2024). The Spatial Distribution of Brain Metastasis Is Determined by the Heterogeneity of the Brain Microenvironment. Human Brain Mapping. 45(18). e70103–e70103.
6.
Zhang, Jingxuan, et al.. (2024). Enhancing prognostic prediction in hepatocellular carcinoma post-TACE: a machine learning approach integrating radiomics and clinical features. Frontiers in Medicine. 11. 1419058–1419058. 2 indexed citations
7.
Liang, Peng, Hongsheng Deng, Yi Zhao, et al.. (2023). Microbiota modulate lung squamous cell carcinoma lymph node metastasis through microbiota-geneset correlation network. Translational Lung Cancer Research. 12(11). 2245–2259. 8 indexed citations
8.
Bao, Hongbo, et al.. (2023). The involvement of brain regions associated with lower KPS and shorter survival time predicts a poor prognosis in glioma. Frontiers in Neurology. 14. 1264322–1264322. 4 indexed citations
9.
Bao, Hongbo, Gang Wang, Shuai Wang, et al.. (2023). Intraoperative radiotherapy in recurrent IDH-wildtype glioblastoma with gross total resection: A single-center retrospective study. Clinical Neurology and Neurosurgery. 236. 108103–108103. 2 indexed citations
10.
Liang, Peng, et al.. (2019). Genetic Polymorphisms on 4q21.1 Contributed to the Risk of Hashimoto's Thyroiditis. Genetic Testing and Molecular Biomarkers. 23(12). 837–842. 2 indexed citations
11.
Li, Zhen-Zhe, Jixing Zhang, Weiliang Wang, et al.. (2019). Modulating lncRNA SNHG15/CDK6/miR-627 circuit by palbociclib, overcomes temozolomide resistance and reduces M2-polarization of glioma associated microglia in glioblastoma multiforme. Journal of Experimental & Clinical Cancer Research. 38(1). 380–380. 101 indexed citations
12.
Zou, Wen‐Sheng, Peng Liang, Zunhua Yang, et al.. (2018). Design, synthesis, antiproliferative activity and docking studies of quinazoline derivatives bearing 2,3-dihydro-indole or 1,2,3,4-tetrahydroquinoline as potential EGFR inhibitors. European Journal of Medicinal Chemistry. 154. 29–43. 23 indexed citations
13.
Tang, Jianzhou, et al.. (2016). TheLSP1rs3817198 T > C polymorphism contributes to increased breast cancer risk: a meta-analysis of twelve studies. Oncotarget. 7(39). 63960–63967. 12 indexed citations
14.
Dang, Jie, et al.. (2015). Single-nucleotide polymorphisms in dopamine receptor D1 are associated with heroin dependence but not impulsive behavior. Genetics and Molecular Research. 14(2). 4041–4050. 8 indexed citations
15.
Tang, Haitao, et al.. (2015). SRPX2 Enhances the Epithelial–Mesenchymal Transition and Temozolomide Resistance in Glioblastoma Cells. Cellular and Molecular Neurobiology. 36(7). 1067–1076. 39 indexed citations
16.
Zhao, Jiaxin, et al.. (2015). SEMA6A is a prognostic biomarker in glioblastoma. Tumor Biology. 36(11). 8333–8340. 17 indexed citations
17.
Zhao, Liwei, et al.. (2013). Clinical Implications of Girdin Protein Expression in Glioma. The Scientific World JOURNAL. 2013(1). 986073–986073. 11 indexed citations
18.
Liang, Peng, et al.. (2012). Identification of a novel HLA‐A*24:02:55 allele by sequence‐based typing. Tissue Antigens. 80(2). 193–194. 2 indexed citations
19.
Dong, Xingli, et al.. (2010). Methylenetetrahydrofolate Reductase C677T and A1298C Polymorphisms and Gastric Cancer: A Meta-analysis. Archives of Medical Research. 41(2). 125–133. 31 indexed citations
20.
Liang, Peng. (2009). Research on Breast Cancer Genetic Susceptibility Associated with CYP1B1 SNPrs1056836,ER and PR in Ningxia Han Population. 2 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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