Peiyi Zhang

2.3k total citations
51 papers, 806 citations indexed

About

Peiyi Zhang is a scholar working on Molecular Biology, Oncology and Hematology. According to data from OpenAlex, Peiyi Zhang has authored 51 papers receiving a total of 806 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Molecular Biology, 18 papers in Oncology and 17 papers in Hematology. Recurrent topics in Peiyi Zhang's work include Protein Degradation and Inhibitors (21 papers), Multiple Myeloma Research and Treatments (17 papers) and Peptidase Inhibition and Analysis (11 papers). Peiyi Zhang is often cited by papers focused on Protein Degradation and Inhibitors (21 papers), Multiple Myeloma Research and Treatments (17 papers) and Peptidase Inhibition and Analysis (11 papers). Peiyi Zhang collaborates with scholars based in United States, China and Japan. Peiyi Zhang's co-authors include Guangrong Zheng, Daohong Zhou, Xuan Zhang, Dinesh Thummuri, Sajid Khan, Xingui Liu, Yonghan He, Yaxia Yuan, Wanyi Hu and Dongwen Lv and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and Blood.

In The Last Decade

Peiyi Zhang

47 papers receiving 788 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Peiyi Zhang United States 16 555 291 180 78 65 51 806
Hongwei Tang China 13 367 0.7× 105 0.4× 60 0.3× 78 1.0× 53 0.8× 38 573
Xue-Chun Lu China 12 233 0.4× 182 0.6× 75 0.4× 45 0.6× 209 3.2× 39 560
Mandy Beyer Germany 13 360 0.6× 120 0.4× 55 0.3× 33 0.4× 65 1.0× 19 557
Susanne Vejda Austria 11 330 0.6× 90 0.3× 55 0.3× 56 0.7× 38 0.6× 11 477
Soo-Mi Kweon United States 11 318 0.6× 52 0.2× 62 0.3× 89 1.1× 62 1.0× 21 535
Yanwen Zhou Japan 16 394 0.7× 158 0.5× 49 0.3× 61 0.8× 119 1.8× 34 618
Giulia Antoniali Italy 19 808 1.5× 168 0.6× 29 0.2× 43 0.6× 32 0.5× 33 967
Zhongzheng Lu China 11 392 0.7× 121 0.4× 156 0.9× 35 0.4× 66 1.0× 11 642
Jane Birtwistle United Kingdom 12 209 0.4× 65 0.2× 77 0.4× 102 1.3× 127 2.0× 21 554
Paolo Pagani Italy 7 652 1.2× 177 0.6× 128 0.7× 29 0.4× 185 2.8× 17 851

Countries citing papers authored by Peiyi Zhang

Since Specialization
Citations

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

Fields of papers citing papers by Peiyi Zhang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peiyi Zhang

This figure shows the co-authorship network connecting the top 25 collaborators of Peiyi Zhang. A scholar is included among the top collaborators of Peiyi 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 Peiyi Zhang. Peiyi 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
1.
Hu, Jin, Wenwen Wang, Lei Hao, et al.. (2025). Targeting PSMD14 combined with arachidonic acid induces synthetic lethality via FADS1 m 6 A modification in triple-negative breast cancer. Science Advances. 11(19). eadr3173–eadr3173. 2 indexed citations
2.
He, Yonghan, Chunbao Sun, Peiyi Zhang, et al.. (2025). A BCL-xL/BCL-2 PROTAC effectively clears senescent cells in the liver and reduces MASH-driven hepatocellular carcinoma in mice. Nature Aging. 5(3). 386–400. 10 indexed citations
3.
4.
Zhang, Xuan, Dinesh Thummuri, Wanyi Hu, et al.. (2025). Discovery of XZ338, a highly potent BCL-XL degrader. European Journal of Medicinal Chemistry. 291. 117624–117624. 1 indexed citations
5.
Han, Song, Peiyi Zhang, Guangrong Zheng, et al.. (2024). A novel regimen for pancreatic ductal adenocarcinoma targeting MEK, BCL-xL, and EGFR. Neoplasia. 59. 101070–101070. 3 indexed citations
6.
Khan, Sajid, Lin Cao, J Wiegand, et al.. (2024). PROTAC-Mediated Dual Degradation of BCL-xL and BCL-2 Is a Highly Effective Therapeutic Strategy in Small-Cell Lung Cancer. Cells. 13(6). 528–528. 14 indexed citations
7.
Nayak, Digant, Dongwen Lv, Yaxia Yuan, et al.. (2024). Development and crystal structures of a potent second-generation dual degrader of BCL-2 and BCL-xL. Nature Communications. 15(1). 2743–2743. 23 indexed citations
8.
Yang, Yang, Wanyi Hu, Peiyi Zhang, et al.. (2023). Abstract B009: A liver-tropic BCL-xL PROTAC effectively clears senescent hepatocytes and prevents NASH-driven HCC in mice. Cancer Research. 83(2_Supplement_1). B009–B009. 1 indexed citations
9.
Khan, Sajid, Patrick Kellish, Nick Connis, et al.. (2023). Co-targeting BCL-XL and MCL-1 with DT2216 and AZD8055 synergistically inhibit small-cell lung cancer growth without causing on-target toxicities in mice. Cell Death Discovery. 9(1). 1–1. 31 indexed citations
10.
Lalazar, Gadi, Guangrong Zheng, Peiyi Zhang, et al.. (2022). Targeting BCL-XL in fibrolamellar hepatocellular carcinoma. JCI Insight. 7(17). 18 indexed citations
11.
Tao, Zhiyong, Peiyi Zhang, Bei Zhou, et al.. (2022). The Comparison of PCR Kits for the Detection of Erythrocytic Parasites on Filter Paper. Journal of Tropical Medicine. 2022. 1–8. 2 indexed citations
12.
Kolb, Ryan, Umasankar De, Sajid Khan, et al.. (2021). Proteolysis-targeting chimera against BCL-XL destroys tumor-infiltrating regulatory T cells. Nature Communications. 12(1). 1281–1281. 42 indexed citations
13.
Jia, Yannan, Qi Zhang, Weiguo Zhang, et al.. (2021). Targeting BCL-XL and BCL-2 By Protac 753B Effectively Eliminates AML Cells and Enhances Efficacy of Chemotherapy By Targeting Senescent Cells. Blood. 138(Supplement 1). 2230–2230. 8 indexed citations
14.
Thummuri, Dinesh, Sajid Khan, Patrick W. Underwood, et al.. (2021). Overcoming Gemcitabine Resistance in Pancreatic Cancer Using the BCL-XL–Specific Degrader DT2216. Molecular Cancer Therapeutics. 21(1). 184–192. 51 indexed citations
15.
Zhang, Peiyi, Xuan Zhang, Xingui Liu, et al.. (2020). PROTACs are effective in addressing the platelet toxicity associated with BCL-XL inhibitors. SHILAP Revista de lepidopterología. 1(4). 259–272. 16 indexed citations
16.
Zhang, Peiyi, Hui Li, Tiantian Zhang, et al.. (2020). TNF Receptor: Fc Fusion Protein Downregulates RANKL/OPG Ratio by Inhibiting CXCL16/CXCR6 in Active Ankylosing Spondylitis. Current Pharmaceutical Biotechnology. 22(2). 305–316. 6 indexed citations
17.
Zhang, Xuan, Dinesh Thummuri, Yonghan He, et al.. (2019). Utilizing PROTAC technology to address the on-target platelet toxicity associated with inhibition of BCL-X L. Chemical Communications. 55(98). 14765–14768. 72 indexed citations
18.
19.
Yang, Guangyu, et al.. (2016). Research of Hot Deformation Behavior in Low Temperature Region for 07MnNiCrMoVDR Steel After Quenched and Tempered. 45(6). 59. 1 indexed citations
20.
Zhang, Peiyi. (2008). Five New Species of Stick Insects from Yunnan Province and Description of Male Cnipsomorpha colorantis(Chen et He)(Phasmatodea:Heteronemiidae,Phasmatidae). Entomotaxonomia. 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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