Pengke Yan

778 total citations
36 papers, 591 citations indexed

About

Pengke Yan is a scholar working on Molecular Biology, Cancer Research and Cell Biology. According to data from OpenAlex, Pengke Yan has authored 36 papers receiving a total of 591 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 8 papers in Cancer Research and 7 papers in Cell Biology. Recurrent topics in Pengke Yan's work include Cancer, Lipids, and Metabolism (6 papers), Nanoparticle-Based Drug Delivery (5 papers) and Reproductive Biology and Fertility (3 papers). Pengke Yan is often cited by papers focused on Cancer, Lipids, and Metabolism (6 papers), Nanoparticle-Based Drug Delivery (5 papers) and Reproductive Biology and Fertility (3 papers). Pengke Yan collaborates with scholars based in China, United States and Vietnam. Pengke Yan's co-authors include Zhengrong Mei, Zhongwen Yuan, Wenting Zhu, Peiqing Liu, Chenglai Xia, Duan‐Fang Liao, Jianqiao Liu, Menglei Jia, Kai Li and Xing Zheng and has published in prestigious journals such as ACS Nano, PLoS ONE and Brain Research.

In The Last Decade

Pengke Yan

36 papers receiving 582 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Pengke Yan China 15 240 106 90 80 61 36 591
Gan Qiao China 15 436 1.8× 82 0.8× 166 1.8× 65 0.8× 43 0.7× 37 754
Yanli Bi China 13 365 1.5× 77 0.7× 65 0.7× 34 0.4× 59 1.0× 23 720
Dan Huang China 18 432 1.8× 81 0.8× 160 1.8× 47 0.6× 49 0.8× 69 869
Kye‐Im Jeon United States 13 345 1.4× 119 1.1× 136 1.5× 50 0.6× 22 0.4× 19 743
Jiang Zou China 16 489 2.0× 85 0.8× 145 1.6× 36 0.5× 61 1.0× 31 843
Yiping Wang China 14 175 0.7× 92 0.9× 36 0.4× 37 0.5× 33 0.5× 27 615
Marwa O. El-Derany Egypt 15 215 0.9× 46 0.4× 93 1.0× 62 0.8× 19 0.3× 25 597
Shixin Chen China 16 323 1.3× 88 0.8× 89 1.0× 80 1.0× 20 0.3× 74 806
Yuanqiao He China 19 329 1.4× 111 1.0× 134 1.5× 23 0.3× 32 0.5× 61 742

Countries citing papers authored by Pengke Yan

Since Specialization
Citations

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

Fields of papers citing papers by Pengke Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pengke Yan

This figure shows the co-authorship network connecting the top 25 collaborators of Pengke Yan. A scholar is included among the top collaborators of Pengke Yan 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 Pengke Yan. Pengke Yan 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.
Yu, Hang, Jinjin Yin, Zhongwen Yuan, et al.. (2025). Light-controlled pyroptosis via redox-responsive microneedles enhances photodynamic–epigenetic immunotherapy in breast cancer. Materials Today Bio. 34. 102158–102158. 2 indexed citations
2.
Zhu, Wenting, et al.. (2025). A Progesterone Microneedle Patch for Self-Administration in the Prevention of Preterm Birth in a Mouse Model. Drug Design Development and Therapy. Volume 19. 2473–2490. 1 indexed citations
3.
Yuan, Zhongwen, et al.. (2025). Transferrin and Borneol-Enhanced Liposomes for Targeted Rapamycin Delivery in TBI. International Journal of Nanomedicine. Volume 20. 4503–4518. 1 indexed citations
4.
Jia, Menglei, et al.. (2024). Rapamycin circumvents anti PD-1 therapy resistance in colorectal cancer by reducing PD-L1 expression and optimizing the tumor microenvironment. Biomedicine & Pharmacotherapy. 176. 116883–116883. 5 indexed citations
5.
Yu, Hang, et al.. (2024). Targeted co-delivery of rapamycin and oxaliplatin by liposomes suppresses tumor growth and metastasis of colorectal cancer. Biomedicine & Pharmacotherapy. 178. 117192–117192. 5 indexed citations
6.
Yin, Jinjin, et al.. (2024). The role of cancer-associated fibroblasts in the invasion and metastasis of colorectal cancer. Frontiers in Cell and Developmental Biology. 12. 1375543–1375543. 9 indexed citations
7.
Feng, Senling, Yuting Li, Hongliang Huang, et al.. (2023). Isoorientin reverses lung cancer drug resistance by promoting ferroptosis via the SIRT6/Nrf2/GPX4 signaling pathway. European Journal of Pharmacology. 954. 175853–175853. 34 indexed citations
8.
Yuan, Zhongwen, et al.. (2023). Effective Attenuation of Arteriosclerosis Following Lymphatic-Targeted Delivery of Hyaluronic Acid-Decorated Rapamycin Liposomes. International Journal of Nanomedicine. Volume 18. 4403–4419. 5 indexed citations
9.
Zhu, Wenting, et al.. (2023). Multi-targeting liposomal codelivery of cisplatin and rapamycin inhibits pancreatic cancer growth and metastasis through stromal modulation. International Journal of Pharmaceutics. 644. 123316–123316. 12 indexed citations
10.
Chen, Yiqing, et al.. (2021). Delivery of Rapamycin by Liposomes Synergistically Enhances the Chemotherapy Effect of 5-Fluorouracil on Colorectal Cancer. International Journal of Nanomedicine. Volume 16. 269–281. 31 indexed citations
11.
Wang, Zhongping, Wenting Zhu, Zhongwen Yuan, et al.. (2021). Development of a novel ssDNA aptamer targeting cardiac troponin I and its clinical applications. Analytical and Bioanalytical Chemistry. 413(28). 7043–7053. 14 indexed citations
12.
Zhu, Wenting, Yuanyuan Cheng, Zhenhua Li, et al.. (2020). T-cell death-associated gene 8 accelerates atherosclerosis by promoting vascular smooth muscle cell proliferation and migration. Atherosclerosis. 297. 64–73. 16 indexed citations
13.
14.
Mei, Zhengrong, et al.. (2015). Transcriptional Regulation of BACE1 by NFAT3 Leads to Enhanced Amyloidogenic Processing. Neurochemical Research. 40(4). 829–836. 13 indexed citations
15.
Huang, Na, Jianqiao Liu, Pengke Yan, et al.. (2014). Meta-analysis of estradiol for luteal phase support in in vitro fertilization/intracytoplasmic sperm injection. Fertility and Sterility. 103(2). 367–373.e5. 19 indexed citations
16.
Xiao, Guohong, Chenglai Xia, Jie Yang, et al.. (2014). MiR-133b Regulates the Expression of the Actin Protein TAGLN2 during Oocyte Growth and Maturation: A Potential Target for Infertility Therapy. PLoS ONE. 9(6). e100751–e100751. 42 indexed citations
17.
Yan, Pengke, et al.. (2011). Biological Characteristics of Foam Cell Formation in Smooth Muscle Cells Derived from Bone Marrow Stem Cells. International Journal of Biological Sciences. 7(7). 937–946. 34 indexed citations
18.
Xia, Chenglai, Ping Zhu, Yantao Cai, et al.. (2011). HIV-infection resistance in PMBC-derived dendritic cells modified with recombinant virus. Archives of Virology. 157(3). 413–421. 2 indexed citations
19.
Mei, Zhengrong, et al.. (2010). Cryptotanshinione upregulates α-secretase by activation PI3K pathway in cortical neurons. Brain Research. 1348. 165–173. 32 indexed citations
20.
Jiang, Pei, Pengke Yan, Jian‐Xiong Chen, et al.. (2006). High density lipoprotein 3 inhibits oxidized low density lipoprotein-induced apoptosis via promoting cholesterol efflux in RAW264.7 cells1. Acta Pharmacologica Sinica. 27(2). 151–157. 14 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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