Pei Zhang

11.7k total citations · 2 hit papers
370 papers, 7.7k citations indexed

About

Pei Zhang is a scholar working on Molecular Biology, Cancer Research and Genetics. According to data from OpenAlex, Pei Zhang has authored 370 papers receiving a total of 7.7k indexed citations (citations by other indexed papers that have themselves been cited), including 137 papers in Molecular Biology, 39 papers in Cancer Research and 30 papers in Genetics. Recurrent topics in Pei Zhang's work include Cancer-related molecular mechanisms research (24 papers), MicroRNA in disease regulation (16 papers) and Neuroinflammation and Neurodegeneration Mechanisms (13 papers). Pei Zhang is often cited by papers focused on Cancer-related molecular mechanisms research (24 papers), MicroRNA in disease regulation (16 papers) and Neuroinflammation and Neurodegeneration Mechanisms (13 papers). Pei Zhang collaborates with scholars based in China, United States and France. Pei Zhang's co-authors include Bo Tian, Linfang Wang, Yawei Shi, Yuanqiang Sun, Hong‐Xing Zhang, Wei Guo, Yingying Huo, Dan Song, Jing Liu and Zhirong Zhang and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Journal of the American Chemical Society.

In The Last Decade

Pei Zhang

343 papers receiving 7.6k citations

Hit Papers

Simultaneous Fluorescence Sensing of Cys and GSH from Dif... 2013 2026 2017 2021 2013 2025 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Pei Zhang China 43 2.9k 805 603 595 549 370 7.7k
Hui Wang China 57 4.2k 1.4× 886 1.1× 839 1.4× 707 1.2× 557 1.0× 490 12.1k
Simon Ming‐Yuen Lee Macao 58 5.7k 2.0× 586 0.7× 1.1k 1.8× 662 1.1× 350 0.6× 382 12.4k
Gerry R. Boss United States 51 4.1k 1.4× 557 0.7× 549 0.9× 310 0.5× 536 1.0× 216 8.1k
Xin Li China 51 3.8k 1.3× 561 0.7× 708 1.2× 515 0.9× 458 0.8× 525 11.4k
Stefan Laufer Germany 62 6.8k 2.3× 801 1.0× 857 1.4× 603 1.0× 678 1.2× 469 15.2k
Ying Liu China 44 3.4k 1.2× 942 1.2× 368 0.6× 747 1.3× 388 0.7× 249 7.5k
Yang Yang China 49 4.2k 1.4× 604 0.8× 852 1.4× 1.3k 2.2× 512 0.9× 439 9.4k
Claudette M. St. Croix United States 48 3.0k 1.0× 794 1.0× 823 1.4× 280 0.5× 536 1.0× 152 8.1k
Ge Li China 46 2.8k 1.0× 767 1.0× 638 1.1× 724 1.2× 692 1.3× 317 7.9k
Naoto Oku Japan 55 5.5k 1.9× 754 0.9× 833 1.4× 1.1k 1.8× 303 0.6× 373 11.6k

Countries citing papers authored by Pei Zhang

Since Specialization
Citations

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

Fields of papers citing papers by Pei Zhang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pei Zhang

This figure shows the co-authorship network connecting the top 25 collaborators of Pei Zhang. A scholar is included among the top collaborators of Pei Zhang 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 Pei Zhang. Pei Zhang 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
2.
Zhang, Liwen, Weili Zhao, Fang Huang, et al.. (2025). Association of triglyceride-glucose-related indices with all-cause and cause-specific mortality in individuals with prediabetes. Cardiovascular Diabetology. 24(1). 330–330. 2 indexed citations
3.
Xue, Yuhua, Xingmei Chen, Yafei Wang, et al.. (2025). Mechanically Compliant and Impedance Matching Hydrogel Bioelectronics for Low‐Voltage Peripheral Neuromodulation. Advanced Materials. 38(2). e11014–e11014. 4 indexed citations
4.
Chen, Zhaoyang, Na Li, Pei Zhang, Yan Li, & Xiao Li. (2024). CardioDPi: An explainable deep-learning model for identifying cardiotoxic chemicals targeting hERG, Cav1.2, and Nav1.5 channels. Journal of Hazardous Materials. 474. 134724–134724. 13 indexed citations
5.
Zhu, Tao, et al.. (2024). Therapeutic effect of ginkgetin on smoke-induced airway inflammation by down-regulating the c/EBPβ signaling pathway and CCL2 expression. Journal of Ethnopharmacology. 331. 118284–118284. 4 indexed citations
6.
Chen, Jiali, et al.. (2024). Patient versus physician preferences for lipid‐lowering drug therapy: A discrete choice experiment. Health Expectations. 27(2). e14043–e14043. 5 indexed citations
7.
Li, Chunyang, Miao Cheng, Panpan Gao, et al.. (2024). A molecularly distinct cell type in the midbrain regulates intermale aggression behaviors in mice. Theranostics. 15(2). 707–725. 1 indexed citations
8.
Zhang, Pei, Jusang Bolong, Jen Sern Tham, & Mohd Nizam Osman. (2024). Gratification Needs Factors for Authentic Self-Expression on Instagram. International Journal of Academic Research in Business and Social Sciences. 14(12).
11.
Ping, Ping, Pei Zhang, Yao Yao, et al.. (2023). Associations between cardiac structure and function and depressive disorder: A centenarian study in China. Heliyon. 9(2). e13233–e13233. 2 indexed citations
12.
Li, Ya, et al.. (2023). Fullerene-promoted organic-inorganic hybrid electrochemiluminescence biosensor for sensitive detection of concanavalin A. Sensors and Actuators B Chemical. 393. 134311–134311. 6 indexed citations
13.
Zhang, Pei, Jiazhen Xu, Guo‐Qiang Lin, et al.. (2023). Multi-pathway neuroprotective effects of a novel salidroside derivative SHPL-49 against acute cerebral ischemic injury. European Journal of Pharmacology. 949. 175716–175716. 13 indexed citations
14.
Li, Hongtao, et al.. (2023). The regulatory approvals of immune checkpoint inhibitors in China and the United States: A cross‐national comparison study. International Journal of Cancer. 152(11). 2351–2361. 12 indexed citations
15.
Guan, Haipeng, Pei Zhang, Chun Ruan, et al.. (2023). Diverse modes of H3K36me3-guided nucleosomal deacetylation by Rpd3S. Nature. 620(7974). 669–675. 15 indexed citations
16.
Zhang, Pei, Muhammad Irfan Afridi, Shan Zhang, et al.. (2023). GABAergic signaling between enteric neurons and intestinal smooth muscle promotes innate immunity and gut defense in Caenorhabditis elegans. Immunity. 56(7). 1515–1532.e9. 11 indexed citations
17.
Jiang, Wei, et al.. (2022). Phosphoproteome Analysis Identifies a Synaptotagmin-1-Associated Complex Involved in Ischemic Neuron Injury. Molecular & Cellular Proteomics. 21(5). 100222–100222. 7 indexed citations
18.
Delpuech, Oona, Claire Rooney, Lorraine Mooney, et al.. (2016). Identification of Pharmacodynamic Transcript Biomarkers in Response to FGFR Inhibition by AZD4547. Molecular Cancer Therapeutics. 15(11). 2802–2813. 18 indexed citations
19.
Zhang, Pei, Surong Zhao, Lele Song, et al.. (2012). [Effect of low-molecular-weight heparin combined with paclitaxel on the invasiveness and migration of nasopharyngeal carcinoma cells in vitro].. PubMed. 32(11). 1529–35.
20.
Ruby, Norman F., Calvin E. Hwang, Colin Wessells, et al.. (2008). Hippocampal-dependent learning requires a functional circadian system. Proceedings of the National Academy of Sciences. 105(40). 15593–15598. 186 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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