Peisong Zhai

763 total citations · 1 hit paper
10 papers, 536 citations indexed

About

Peisong Zhai is a scholar working on Molecular Biology, Biomedical Engineering and Oral Surgery. According to data from OpenAlex, Peisong Zhai has authored 10 papers receiving a total of 536 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 4 papers in Biomedical Engineering and 3 papers in Oral Surgery. Recurrent topics in Peisong Zhai's work include Bone Tissue Engineering Materials (3 papers), Extracellular vesicles in disease (2 papers) and Dental Implant Techniques and Outcomes (2 papers). Peisong Zhai is often cited by papers focused on Bone Tissue Engineering Materials (3 papers), Extracellular vesicles in disease (2 papers) and Dental Implant Techniques and Outcomes (2 papers). Peisong Zhai collaborates with scholars based in China, France and United States. Peisong Zhai's co-authors include Yiping Liu, Xiangwei Li, Hongchen Sun, Baoquan Li, Jianjun Zhang, Jia Wang, Yanmin Zhou, Xiaolin Sun, Siyu Chen and Manxuan Liu and has published in prestigious journals such as Cancer Research, Journal of Dental Research and International Journal of Biological Macromolecules.

In The Last Decade

Peisong Zhai

10 papers receiving 524 citations

Hit Papers

The application of hyalur... 2019 2026 2021 2023 2019 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Peisong Zhai China 6 198 112 108 100 91 10 536
Qilin Liu China 12 158 0.8× 226 2.0× 111 1.0× 94 0.9× 87 1.0× 28 662
Maiko Omi United States 16 189 1.0× 245 2.2× 111 1.0× 97 1.0× 61 0.7× 20 683
Jun Ohno Japan 17 281 1.4× 252 2.3× 98 0.9× 58 0.6× 58 0.6× 59 748
Jue‐Yeon Lee South Korea 12 210 1.1× 147 1.3× 122 1.1× 83 0.8× 59 0.6× 27 416
Claudio E. Pedraza Canada 10 187 0.9× 205 1.8× 120 1.1× 40 0.4× 32 0.4× 11 576
Lein‐Tuan Hou Taiwan 15 158 0.8× 135 1.2× 113 1.0× 146 1.5× 151 1.7× 20 778
Satoru Onizuka Japan 11 120 0.6× 149 1.3× 83 0.8× 117 1.2× 50 0.5× 17 563
Xianling Gao China 13 297 1.5× 111 1.0× 130 1.2× 116 1.2× 89 1.0× 19 610
Lingling Shang China 12 127 0.6× 88 0.8× 67 0.6× 98 1.0× 30 0.3× 17 428

Countries citing papers authored by Peisong Zhai

Since Specialization
Citations

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

Fields of papers citing papers by Peisong Zhai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peisong Zhai

This figure shows the co-authorship network connecting the top 25 collaborators of Peisong Zhai. A scholar is included among the top collaborators of Peisong Zhai 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 Peisong Zhai. Peisong Zhai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

10 of 10 papers shown
1.
Li, Teng, et al.. (2025). Exosomes Derived from Metformin-Pretreated BMSCs Accelerate Diabetic Wound Repair by Promoting Angiogenesis Via the LINC-PINT/miR-139-3p/FOXC2 Axis. Stem Cell Reviews and Reports. 21(4). 1096–1112. 2 indexed citations
2.
Tong, Tanjun, et al.. (2024). Nuclear TOP1MT Confers Cisplatin Resistance via Pseudogene in HNSCC. Journal of Dental Research. 103(12). 1238–1248. 1 indexed citations
3.
Wang, Xiaoning, Peisong Zhai, Zheqi Liu, et al.. (2023). Hypoxia promotes EV secretion by impairing lysosomal homeostasis in HNSCC through negative regulation of ATP6V1A by HIF‐1α. Journal of Extracellular Vesicles. 12(2). e12310–e12310. 45 indexed citations
4.
Zhai, Peisong, Ming Yan, Chun Liu, et al.. (2023). Spatial and Single-Cell Transcriptomics Reveal a Cancer-Associated Fibroblast Subset in HNSCC That Restricts Infiltration and Antitumor Activity of CD8+ T Cells. Cancer Research. 84(2). 258–275. 61 indexed citations
5.
Mao, Jiayi, Lu Chen, Shutong Qian, et al.. (2023). Transcriptome network analysis of inflammation and fibrosis in keloids. Journal of Dermatological Science. 113(2). 62–73. 3 indexed citations
6.
Tong, Tong, Xing Qin, Yingying Jiang, et al.. (2022). A novel CREB5/TOP1MT axis confers cisplatin resistance through inhibiting mitochondrial apoptosis in head and neck squamous cell carcinoma. BMC Medicine. 20(1). 231–231. 21 indexed citations
7.
Liu, Yiping, Jia Wang, Peisong Zhai, et al.. (2021). Stiffness Regulates the Morphology, Adhesion, Proliferation, and Osteogenic Differentiation of Maxillary Schneiderian Sinus Membrane-Derived Stem Cells. Stem Cells International. 2021. 1–12. 6 indexed citations
8.
Liu, Yiping, Jue Wang, Peisong Zhai, et al.. (2020). [Effects of scaffold microstructure and mechanical properties on regeneration of tubular dentin].. PubMed. 38(3). 314–318. 1 indexed citations
9.
Zhai, Peisong, et al.. (2019). The application of hyaluronic acid in bone regeneration. International Journal of Biological Macromolecules. 151. 1224–1239. 321 indexed citations breakdown →
10.
Liu, Yiping, Xiaolin Sun, Jia Wang, et al.. (2019). Platelet-Rich Fibrin as a Bone Graft Material in Oral and Maxillofacial Bone Regeneration: Classification and Summary for Better Application. BioMed Research International. 2019. 1–16. 75 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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