Pengtao Yang

3.2k total citations
81 papers, 2.5k citations indexed

About

Pengtao Yang is a scholar working on Molecular Biology, Geophysics and Cancer Research. According to data from OpenAlex, Pengtao Yang has authored 81 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Molecular Biology, 21 papers in Geophysics and 16 papers in Cancer Research. Recurrent topics in Pengtao Yang's work include Geological and Geochemical Analysis (18 papers), earthquake and tectonic studies (16 papers) and High-pressure geophysics and materials (15 papers). Pengtao Yang is often cited by papers focused on Geological and Geochemical Analysis (18 papers), earthquake and tectonic studies (16 papers) and High-pressure geophysics and materials (15 papers). Pengtao Yang collaborates with scholars based in China, United States and Australia. Pengtao Yang's co-authors include Shuwen Liu, Wei Wang, Qiugen Li, Xiang Bai, M. Santosh, Lifei Zhang, Zhijun Dai, Rongrong Guo, Shuai Lin and Jian Zhang and has published in prestigious journals such as Plant and Soil, IEEE Transactions on Vehicular Technology and Medicine.

In The Last Decade

Pengtao Yang

80 papers receiving 2.4k citations

Peers

Pengtao Yang

GEOPH

ONCOL

Qinghai Wang China

Philippe Olivier France

Satoshi Saito Japan

Guohui Hu China

Yao Yu China

Hiroyuki Fujiwara Japan

Mingjie Xu China

Yuting Zhong China

Manabu Hashimoto Japan

Qinghai Wang China

Pengtao Yang

2.5k ×1.8

GEOPH

978 ×1.8

418 ×1.0

177 ×0.6

47 ×0.2

ONCOL

Citations per year, relative to Pengtao Yang Pengtao Yang (= 1×) peers Qinghai Wang

Countries citing papers authored by Pengtao Yang

Since Specialization

Citations

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

Fields of papers citing papers by Pengtao Yang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pengtao Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Pengtao Yang. A scholar is included among the top collaborators of Pengtao 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 Pengtao Yang. Pengtao 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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20 of 20 papers shown

Mā, Hong, et al.. (2025). Diagnosis alfalfa salt stress based on UAV multispectral image texture and vegetation index. Plant and Soil. 513(1). 585–603. 1 indexed citations

Sun, Kai, et al.. (2024). Enhanced microwave absorption in C@Co/carbonyl iron fiber composite with multi-level interfaces. Advanced Composites and Hybrid Materials. 8(1). 16 indexed citations

Liu, Lei, Jie Lin, Zhensheng Zhang, et al.. (2023). NHPI/O₂‐Mediated Electrochemical Intermolecular Cyclization/Dehydrogenation for the Construction of Polycyclic Quinazolinones. Advanced Synthesis & Catalysis. 365(13). 2248–2254. 12 indexed citations

Tian, Jiahong, Runhua Fan, Pengtao Yang, et al.. (2023). Flexible silver nanorods/carbon fiber felt metacomposites with epsilon‐near‐zero property adjusted by compressive deformation. Rare Metals. 42(10). 3318–3325. 11 indexed citations

Wang, Baofeng, Weili Min, Shuai Lin, et al.. (2021). Saikosaponin-d increases radiation-induced apoptosis of hepatoma cells by promoting autophagy via inhibiting mTOR phosphorylation. International Journal of Medical Sciences. 18(6). 1465–1473. 30 indexed citations

Wang, Mincong, et al.. (2020). Long Non-coding RNA SNHG17 Promotes Cell Proliferation and Invasion in Castration-Resistant Prostate Cancer by Targeting the miR-144/CD51 Axis. Frontiers in Genetics. 11. 274–274. 23 indexed citations

Zhou, Linghui, Shan‐Shan Dong, Yujiao Deng, et al.. (2019). GOLGA7 rs11337, a Polymorphism at the MicroRNA Binding Site, Is Associated with Glioma Prognosis. Molecular Therapy — Nucleic Acids. 18. 56–65. 13 indexed citations

Lin, Shuai, Pengtao Yang, Yingying Jin, et al.. (2019). Saikosaponin-d Increases the Radiosensitivity of Hepatoma Cells by Adjusting Cell Autophagy. Journal of Cancer. 10(20). 4947–4953. 28 indexed citations

Li, Yao, Linghui Zhou, Yujiao Deng, et al.. (2019). Association Between Genetic Polymorphisms In TYMS And Glioma Risk In Chinese Patients: A Case-Control Study. OncoTargets and Therapy. Volume 12. 8241–8247. 6 indexed citations

10.

Zhou, Linghui, Pengtao Yang, Yi Zheng, et al.. (2019). Effects of Postoperative Radiotherapy in Early Breast Cancer Patients Older than 75 Years: A Propensity-Matched Analysis. Journal of Cancer. 10(25). 6225–6232. 2 indexed citations

11.

Xue, Feng, Yi Zheng, Pengtao Yang, et al.. (2019). GSTM1 and GSTT1 null genotype increase the risk of hepatocellular carcinoma: evidence based on 46 studies. Cancer Cell International. 19(1). 76–76. 22 indexed citations

12.

Yang, Pengtao, Meng Wang, Tian Tian, et al.. (2018). CYP17 polymorphisms are associated with decreased risk of breast cancer in Chinese Han women: a case–control study. Cancer Management and Research. Volume 10. 1791–1798. 9 indexed citations

13.

Liu, Xinghan, Jun Lü, Wei Duan, et al.. (2017). Predictive Value of UGT1A1*28 Polymorphism In Irinotecan-based Chemotherapy. Journal of Cancer. 8(4). 691–703. 24 indexed citations

14.

Dai, Cong, Tian Tian, Meng Wang, et al.. (2017). CTLA-4 polymorphisms associate with breast cancer susceptibility in Asians: a meta-analysis. PeerJ. 5. e2815–e2815. 18 indexed citations

15.

Yan, Bin, Liyuan Peng, Lu Sun, et al.. (2015). Blood Pressure Reverse-Dipping is Associated With Early Formation of Carotid Plaque in Senior Hypertensive Patients. Medicine. 94(10). e604–e604. 33 indexed citations

16.

Gao, Jie, Qiaoling Yu, Rongguo Fu, et al.. (2015). Lack of Association Between Polymorphisms in AGT and ATR1 and IgA Nephropathy in a Chinese Population. Genetic Testing and Molecular Biomarkers. 19(12). 710–713. 4 indexed citations

17.

Dai, Zhijun, Xi-Jing Wang, Yang Zhao, et al.. (2014). Effects of Interleukin-10 Polymorphisms (rs1800896, rs1800871, and rs1800872) on Breast Cancer Risk: Evidence from an Updated Meta-Analysis. Genetic Testing and Molecular Biomarkers. 18(6). 439–445. 17 indexed citations

18.

Dai, Zhijun, Jie Gao, An-Jing Kang, et al.. (2014). Association between MDM2 rs 2279744 polymorphism and breast cancer susceptibility: a meta-analysis based on 9,788 cases and 11,195 controls. Therapeutics and Clinical Risk Management. 10. 269–269. 13 indexed citations

19.

Yang, Pengtao. (2012). Emplacing Age of the Tiewadian Pluton in the South Qinling Tectonic Belt and Its Geological Implications. Acta Geological Sinica. 40 indexed citations

20.

Yang, Pengtao. (2011). Emplaced and Metallogenetic Times of Tongchang Diorities,Southern Shaanxi Province and Its Geological Implications. Beijing Daxue xuebao. Ziran kexue ban. 8 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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