Peng Yang

4.1k total citations · 1 hit paper
145 papers, 3.1k citations indexed

About

Peng Yang is a scholar working on Molecular Biology, Epidemiology and Cancer Research. According to data from OpenAlex, Peng Yang has authored 145 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Molecular Biology, 29 papers in Epidemiology and 23 papers in Cancer Research. Recurrent topics in Peng Yang's work include Cancer, Hypoxia, and Metabolism (12 papers), Metabolism, Diabetes, and Cancer (8 papers) and Pancreatic function and diabetes (8 papers). Peng Yang is often cited by papers focused on Cancer, Hypoxia, and Metabolism (12 papers), Metabolism, Diabetes, and Cancer (8 papers) and Pancreatic function and diabetes (8 papers). Peng Yang collaborates with scholars based in China, United States and Germany. Peng Yang's co-authors include Zongwei Li, Zhuoyu Li, Haili Wu, Rong Fu, Lichao Zhang, Shen Qu, John H. Zhang, Jiping Tang, Zhuoyu Li and Anatol Manaenko and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Applied Physics and Advanced Functional Materials.

In The Last Decade

Peng Yang

135 papers receiving 3.1k citations

Hit Papers

An Update on Adipose‐Derived Stem Cells for Regenerative ... 2023 2026 2024 2025 2023 40 80 120

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Peng Yang China 32 1.5k 641 534 364 336 145 3.1k
Tingting Liu China 31 1.8k 1.2× 632 1.0× 446 0.8× 310 0.9× 244 0.7× 257 3.5k
Min Zhang China 32 1.5k 1.0× 579 0.9× 386 0.7× 578 1.6× 476 1.4× 209 4.1k
Hui Gong China 34 2.0k 1.4× 561 0.9× 561 1.1× 319 0.9× 358 1.1× 140 4.1k
Xin He China 31 1.6k 1.1× 698 1.1× 337 0.6× 299 0.8× 227 0.7× 103 3.1k
Tiziano M. Scarabelli United States 35 1.3k 0.9× 324 0.5× 605 1.1× 667 1.8× 502 1.5× 100 4.1k
Xuesong Chen China 35 1.6k 1.1× 439 0.7× 338 0.6× 535 1.5× 317 0.9× 193 3.8k
Chia‐Jung Li Taiwan 32 1.6k 1.1× 646 1.0× 390 0.7× 326 0.9× 417 1.2× 130 4.0k
Li Zhang China 33 1.8k 1.2× 659 1.0× 579 1.1× 399 1.1× 269 0.8× 222 3.8k
Xiao‐Yan Wen Canada 35 1.5k 1.0× 234 0.4× 468 0.9× 279 0.8× 449 1.3× 113 3.7k
Li Cai China 32 1.7k 1.2× 802 1.3× 349 0.7× 807 2.2× 220 0.7× 159 3.3k

Countries citing papers authored by Peng Yang

Since Specialization
Citations

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

Fields of papers citing papers by Peng Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peng Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Peng Yang. A scholar is included among the top collaborators of Peng 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 Peng Yang. Peng Yang 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.
Ge, Gaoran, Peng Yang, Liangliang Wang, et al.. (2023). An Update on Adipose‐Derived Stem Cells for Regenerative Medicine: Where Challenge Meets Opportunity. Advanced Science. 10(20). e2207334–e2207334. 135 indexed citations breakdown →
2.
Qiao, Yusen, Lei Yu, Peng Yang, et al.. (2023). Spatiotemporal Immunomodulation and Biphasic Osteo‐Vascular Aligned Electrospun Membrane for Diabetic Periosteum Regeneration. Advanced Science. 10(36). e2302874–e2302874. 28 indexed citations
3.
Ding, Guo‐Bin, Chenchen Zhu, Fangyuan Chen, et al.. (2023). Biosynthesized tumor acidity and MMP dual-responsive plant toxin gelonin for robust cancer therapy. Biomaterials Science. 12(2). 346–360. 1 indexed citations
4.
Ding, Guo‐Bin, Chenchen Zhu, Qian Wang, et al.. (2022). Molecularly engineered tumor acidity-responsive plant toxin gelonin for safe and efficient cancer therapy. Bioactive Materials. 18. 42–55. 12 indexed citations
5.
Yang, Peng, et al.. (2022). Cucurbitacin E Triggers Cellular Senescence in Colon Cancer Cells via Regulating the miR-371b-5p/TFAP4 Signaling Pathway. Journal of Agricultural and Food Chemistry. 70(9). 2936–2947. 16 indexed citations
6.
Yang, Peng, et al.. (2020). Cucurbitacin E Chemosensitizes Colorectal Cancer Cells via Mitigating TFAP4/Wnt/β-Catenin Signaling. Journal of Agricultural and Food Chemistry. 68(48). 14148–14160. 33 indexed citations
7.
Ding, Guo‐Bin, et al.. (2020). Integration of Polylactide into Polyethylenimine Facilitates the Safe and Effective Intracellular siRNA Delivery. Polymers. 12(2). 445–445. 13 indexed citations
8.
9.
Yang, Peng, et al.. (2019). Overexpression of HOXC6 promotes cell proliferation and migration via MAPK signaling and predicts a poor prognosis in glioblastoma. SHILAP Revista de lepidopterología. 3 indexed citations
10.
Ding, Guo‐Bin, et al.. (2019). High-yield expression in Escherichia coli, biophysical characterization, and biological evaluation of plant toxin gelonin. 3 Biotech. 9(1). 19–19. 8 indexed citations
11.
Ding, Guo‐Bin, et al.. (2018). Robust Anticancer Efficacy of a Biologically Synthesized Tumor Acidity-Responsive and Autophagy-Inducing Functional Beclin 1. ACS Applied Materials & Interfaces. 10(6). 5227–5239. 26 indexed citations
12.
Yang, Peng, et al.. (2018). Tannic acid directly targets pyruvate kinase isoenzyme M2 to attenuate colon cancer cell proliferation. Food & Function. 9(11). 5547–5559. 45 indexed citations
13.
Song, Dajiang, Georgios Pafitanis, Peng Yang, et al.. (2017). Chimeric thoracoacromial artery perforator flap for one‐staged reconstruction of complex pharyngoesophageal defects: A single unit experience. Head & Neck. 40(2). 302–311. 15 indexed citations
14.
Zhang, Lichao, Zongwei Li, Guo‐Bin Ding, et al.. (2017). GRP78 plays an integral role in tumor cell inflammation-related migration induced by M2 macrophages. Cellular Signalling. 37. 136–148. 19 indexed citations
15.
Li, Zhichao, et al.. (2017). Berberine Inhibited the Proliferation of Cancer Cells by Suppressing the Activity of Tumor Pyruvate Kinase M2. Natural Product Communications. 12(9). 9 indexed citations
16.
Ding, Guo‐Bin, et al.. (2017). A Novel Doxorubicin Prodrug with GRP78 Recognition and Nucleus-Targeting Ability for Safe and Effective Cancer Therapy. Molecular Pharmaceutics. 15(1). 238–246. 16 indexed citations
17.
Yang, Peng, Zongwei Li, Yingying Wang, et al.. (2015). Secreted pyruvate kinase M2 facilitates cell migration via PI3K/Akt and Wnt/β-catenin pathway in colon cancer cells. Biochemical and Biophysical Research Communications. 459(2). 327–332. 43 indexed citations
18.
Yang, Peng, et al.. (2014). Pyruvate kinase M2 facilitates colon cancer cell migration via the modulation of STAT3 signalling. Cellular Signalling. 26(9). 1853–1862. 117 indexed citations
19.
Li, Zongwei, Peng Yang, & Zhuoyu Li. (2014). The multifaceted regulation and functions of PKM2 in tumor progression. Biochimica et Biophysica Acta (BBA) - Reviews on Cancer. 1846(2). 285–296. 141 indexed citations
20.
Xu, Wei, et al.. (2008). Identification and screening the mimic epitopes of human Rh(D)blood type antigens. Zhonghua jianyan yixue zazhi. 31(3). 305–308. 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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