Peiyu Pu

7.2k total citations
121 papers, 5.8k citations indexed

About

Peiyu Pu is a scholar working on Molecular Biology, Cancer Research and Biomaterials. According to data from OpenAlex, Peiyu Pu has authored 121 papers receiving a total of 5.8k indexed citations (citations by other indexed papers that have themselves been cited), including 97 papers in Molecular Biology, 62 papers in Cancer Research and 15 papers in Biomaterials. Recurrent topics in Peiyu Pu's work include MicroRNA in disease regulation (46 papers), Cancer-related molecular mechanisms research (39 papers) and Circular RNAs in diseases (33 papers). Peiyu Pu is often cited by papers focused on MicroRNA in disease regulation (46 papers), Cancer-related molecular mechanisms research (39 papers) and Circular RNAs in diseases (33 papers). Peiyu Pu collaborates with scholars based in China, United States and Montenegro. Peiyu Pu's co-authors include Chunsheng Kang, Guangxiu Wang, Zhifan Jia, Anling Zhang, Lei Han, Zhendong Shi, Xubo Yuan, Lei Han, Yongping You and Yu Ren and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Biomaterials.

In The Last Decade

Peiyu Pu

121 papers receiving 5.8k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Peiyu Pu China	42	4.6k	3.5k	523	435	429	121	5.8k
Sweta Rani Ireland	24	2.9k 0.6×	2.0k 0.6×	172 0.3×	381 0.9×	546 1.3×	57	4.0k
Weimin Fan China	36	2.3k 0.5×	1.3k 0.4×	465 0.9×	614 1.4×	176 0.4×	108	4.1k
Lei Han China	34	2.7k 0.6×	2.0k 0.6×	151 0.3×	399 0.9×	351 0.8×	121	3.7k
Alexander H. Stegh United States	29	3.3k 0.7×	1.4k 0.4×	344 0.7×	957 2.2×	1.1k 2.7×	42	5.0k
Qixue Wang China	35	2.7k 0.6×	1.8k 0.5×	164 0.3×	350 0.8×	372 0.9×	85	3.7k
Ingo Flamme Germany	32	4.1k 0.9×	2.2k 0.6×	213 0.4×	677 1.6×	375 0.9×	49	6.1k
Ritu Kulshreshtha India	26	2.6k 0.6×	2.6k 0.7×	244 0.5×	261 0.6×	214 0.5×	75	3.8k
Tao Su United States	28	3.7k 0.8×	2.1k 0.6×	108 0.2×	1.1k 2.5×	215 0.5×	56	5.3k
Georg Martiny‐Baron Germany	32	4.7k 1.0×	1.2k 0.3×	236 0.5×	1.4k 3.1×	365 0.9×	52	6.5k

Countries citing papers authored by Peiyu Pu

Since Specialization

Citations

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

Fields of papers citing papers by Peiyu Pu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peiyu Pu

This figure shows the co-authorship network connecting the top 25 collaborators of Peiyu Pu. A scholar is included among the top collaborators of Peiyu Pu 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 Peiyu Pu. Peiyu Pu 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

Zhang, Junxia, Luyue Chen, Lei Han, et al.. (2014). EZH2 is a negative prognostic factor and exhibits pro-oncogenic activity in glioblastoma. Cancer Letters. 356(2). 929–936. 80 indexed citations

Shi, Zhendong, Junxia Zhang, Qian Xiao-min, et al.. (2013). AC1MMYR2, an Inhibitor of Dicer-Mediated Biogenesis of Oncomir miR-21, Reverses Epithelial–Mesenchymal Transition and Suppresses Tumor Growth and Progression. Cancer Research. 73(17). 5519–5531. 157 indexed citations

Sun, Jikui, Li Cai, Kai Zhang, et al.. (2013). A Pilot Study on EGFR-Targeted Molecular Imaging of PET/CT With 11C-PD153035 in Human Gliomas. Clinical Nuclear Medicine. 39(1). e20–e26. 17 indexed citations

Wang, Kun, Zhifan Jia, Jian Zou, et al.. (2013). Analysis of hsa-miR-30a-5p Expression in Human Gliomas. Pathology & Oncology Research. 19(3). 405–411. 33 indexed citations

Zhang, Kailiang, Lei Han, Luyue Chen, et al.. (2013). Blockage of a miR-21/EGFR regulatory feedback loop augments anti-EGFR therapy in glioblastomas. Cancer Letters. 342(1). 139–149. 74 indexed citations

Wang, Yingyi, Guan Sun, Hui Luo, et al.. (2012). MiR‐21 Modulates hTERT Through a STAT3‐Dependent Manner on Glioblastoma Cell Growth. CNS Neuroscience & Therapeutics. 18(9). 722–728. 59 indexed citations

Han, Lei, Xiao Yue, Xuan Zhou, et al.. (2012). MicroRNA‐21 Expression is regulated by β‐catenin/STAT3 Pathway and Promotes Glioma Cell Invasion by Direct Targeting RECK. CNS Neuroscience & Therapeutics. 18(7). 573–583. 93 indexed citations

Zhang, Kailiang, Junxia Zhang, Lei Han, Peiyu Pu, & Chunsheng Kang. (2012). Wnt/beta-Catenin Signaling in Glioma. Journal of Neuroimmune Pharmacology. 7(4). 740–749. 111 indexed citations

Wang, Kun, Zhifan Jia, Anling Zhang, et al.. (2011). Inhibitory effects of knocking down microRNA-19a and microRNA-19b on glioma cell growth in vitro. Chinese Journal of Neuromedicine. 10(4). 365–368. 1 indexed citations

10.

Wang, Yingyi, Wei Yan, Xiaoming Lu, et al.. (2011). Overexpression of osteopontin induces angiogenesis of endothelial progenitor cells via the avβ3/PI3K/AKT/eNOS/NO signaling pathway in glioma cells. European Journal of Cell Biology. 90(8). 642–648. 93 indexed citations

11.

Chang, Jiang, Chenghu Yan, Qian Xiao-min, et al.. (2010). Development of transferrin functionalized poly(ethylene glycol)/poly(lactic acid) amphiphilic block copolymeric micelles as a potential delivery system targeting brain glioma. Journal of Materials Science Materials in Medicine. 21(9). 2673–2681. 44 indexed citations

12.

Yue, Xiao, Weidong Yang, Yang Yang, et al.. (2010). Interruption of β-catenin suppresses the EGFR pathway by blocking multiple oncogenic targets in human glioma cells. Brain Research. 1366. 27–37. 85 indexed citations

13.

Ren, Yu, Xuan Zhou, Mei Mei, et al.. (2010). MicroRNA-21 inhibitor sensitizes human glioblastoma cells U251 (PTEN-mutant) and LN229 (PTEN-wild type) to taxol. BMC Cancer. 10(1). 27–27. 189 indexed citations

14.

Huang, Kai, Junxia Zhang, Lei Han, et al.. (2010). MicroRNA roles in beta-catenin pathway. Molecular Cancer. 9(1). 252–252. 104 indexed citations

15.

Han, Lei, Yang Yang, Xiao Yue, et al.. (2010). Inactivation of PI3K/AKT signaling inhibits glioma cell growth through modulation of β-catenin-mediated transcription. Brain Research. 1366. 9–17. 44 indexed citations

16.

Kang, Chunsheng, Xubo Yuan, Fei Li, et al.. (2009). Evaluation of folate‐PAMAM for the delivery of antisense oligonucleotides to rat C6 glioma cells in vitro and in vivo. Journal of Biomedical Materials Research Part A. 93A(2). 585–594. 51 indexed citations

17.

Xu, Peng, Shizhu Yu, Rongcai Jiang, et al.. (2009). Differential Expression of Notch Family Members in Astrocytomas and Medulloblastomas. Pathology & Oncology Research. 15(4). 703–710. 35 indexed citations

18.

Liu, Bing, Jianning Zhang, & Peiyu Pu. (2008). Expressions of PDGF-B and collagen type III in the remodeling of experimental saccular aneurysm in rats. Neurological Research. 30(6). 632–638. 6 indexed citations

19.

Pu, Peiyu. (2002). Telomerase activity and regulation in human neuroepithelial tumors. 5 indexed citations

20.

Pu, Peiyu, et al.. (1990). A survey of 790 cases of astrocytoma. Clinical Neurology and Neurosurgery. 92(1). 27–33. 11 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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