Min Peng

6.2k total citations · 3 hit papers
94 papers, 4.6k citations indexed

About

Min Peng is a scholar working on Molecular Biology, Oncology and Immunology. According to data from OpenAlex, Min Peng has authored 94 papers receiving a total of 4.6k indexed citations (citations by other indexed papers that have themselves been cited), including 52 papers in Molecular Biology, 18 papers in Oncology and 18 papers in Immunology. Recurrent topics in Min Peng's work include DNA Repair Mechanisms (14 papers), Immune Cell Function and Interaction (11 papers) and Mitochondrial Function and Pathology (10 papers). Min Peng is often cited by papers focused on DNA Repair Mechanisms (14 papers), Immune Cell Function and Interaction (11 papers) and Mitochondrial Function and Pathology (10 papers). Min Peng collaborates with scholars based in China, United States and Netherlands. Min Peng's co-authors include Ming O. Li, Na Yin, Sharon B. Cantor, Ke Xu, Sagar Chhangawala, Christina S. Leslie, Changdong Liu, Alan M. Laties, Rong Wen and Jenny Xie and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Min Peng

88 papers receiving 4.6k citations

Hit Papers

Aerobic glycolysis promotes T helper 1 cell differentiati... 2016 2026 2019 2022 2016 2021 2021 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
Min Peng China 33 3.1k 1.0k 833 777 482 94 4.6k
Metsada Pasmanik‐Chor Israel 39 2.3k 0.7× 895 0.9× 773 0.9× 703 0.9× 437 0.9× 129 4.5k
Judith M. Müller Germany 32 4.4k 1.4× 927 0.9× 967 1.2× 744 1.0× 448 0.9× 42 6.0k
Chi Ma United States 34 2.1k 0.7× 1.3k 1.2× 675 0.8× 1.0k 1.3× 414 0.9× 110 4.4k
Kazuhiro Ikeda Japan 41 3.0k 1.0× 787 0.8× 1.3k 1.6× 721 0.9× 887 1.8× 145 4.8k
Jongsun Park South Korea 35 4.0k 1.3× 657 0.6× 632 0.8× 591 0.8× 269 0.6× 126 5.7k
Alexey Kotlyarov Germany 33 3.9k 1.3× 1.2k 1.1× 808 1.0× 924 1.2× 236 0.5× 64 5.3k
Douglas J. Mahoney Canada 27 2.2k 0.7× 838 0.8× 645 0.8× 637 0.8× 470 1.0× 64 3.9k
Dooil Jeoung South Korea 42 3.0k 1.0× 1.1k 1.0× 967 1.2× 693 0.9× 191 0.4× 166 4.8k
Michael J. Ausserlechner Austria 33 3.2k 1.0× 642 0.6× 663 0.8× 1.1k 1.4× 217 0.5× 67 4.4k
Minna Woo Canada 32 3.5k 1.1× 953 0.9× 518 0.6× 807 1.0× 695 1.4× 76 5.2k

Countries citing papers authored by Min Peng

Since Specialization
Citations

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

Fields of papers citing papers by Min Peng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Min Peng

This figure shows the co-authorship network connecting the top 25 collaborators of Min Peng. A scholar is included among the top collaborators of Min Peng 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 Min Peng. Min Peng 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.
Yin, Na, et al.. (2025). GD2TIF cells as a platform for single-dose and long-term delivery of biologics. Nature Communications. 16(1). 8088–8088.
2.
Peng, Min, Meng Wang, Yang Xu, et al.. (2025). Prediction of PD-L1 expression in NSCLC patients using PET/CT radiomics and prognostic modelling for immunotherapy in PD-L1-positive NSCLC patients. Clinical Radiology. 86. 106915–106915. 1 indexed citations
4.
Wang, Lixia, et al.. (2024). A single infusion of engineered long-lived and multifunctional T cells confers durable remission of asthma in mice. Nature Immunology. 25(6). 1059–1072. 21 indexed citations
5.
Cong, Ke, Jennifer A. Calvo, Min Peng, et al.. (2024). FANCJ promotes PARP1 activity during DNA replication that is essential in BRCA1 deficient cells. Nature Communications. 15(1). 2599–2599. 14 indexed citations
6.
Zhao, Xiaocui, et al.. (2023). VMP1 prevents Ca2+ overload in endoplasmic reticulum and maintains naive T cell survival. The Journal of Experimental Medicine. 220(6). 23 indexed citations
7.
Liu, Wang, Jinjian Zhang, Tao Chen, et al.. (2023). Development and validation of a genomic nomogram based on a ceRNA network for comprehensive analysis of obstructive sleep apnea. Frontiers in Genetics. 14. 2 indexed citations
8.
Li, Wenbin, et al.. (2022). Microbiological and Clinical Characteristics of Bloodstream Infections in General Intensive Care Unit: A Retrospective Study. Frontiers in Medicine. 9. 876207–876207. 7 indexed citations
9.
Xu, Ke, Na Yin, Min Peng, et al.. (2021). Glycolysis fuels phosphoinositide 3-kinase signaling to bolster T cell immunity. Science. 371(6527). 405–410. 252 indexed citations breakdown →
10.
Liu, Ying, Lixia Wang, Gang Jin, et al.. (2021). Genome-wide fitness gene identification reveals Roquin as a potent suppressor of CD8 T cell expansion and anti-tumor immunity. Cell Reports. 37(10). 110083–110083. 33 indexed citations
11.
Ma, Ke, et al.. (2017). A critical role for very long-chain fatty acid elongases in oleic acid-mediated Saccharomyces cerevisiae cytotoxicity. Microbiological Research. 207. 1–7. 14 indexed citations
12.
Peng, Min, Na Yin, Sagar Chhangawala, et al.. (2016). Aerobic glycolysis promotes T helper 1 cell differentiation through an epigenetic mechanism. Science. 354(6311). 481–484. 599 indexed citations breakdown →
13.
Peng, Min, Julian Ostrovsky, Young Joon Kwon, et al.. (2015). Inhibiting cytosolic translation and autophagy improves health in mitochondrial disease. Human Molecular Genetics. 24(17). 4829–4847. 56 indexed citations
14.
Guillemette, Shawna, et al.. (2013). FANCJ Localization by Mismatch Repair Is Vital to Maintain Genomic Integrity after UV Irradiation. Cancer Research. 74(3). 932–944. 24 indexed citations
15.
Peng, Min, Hao Zhang, Lahcen Jaafar, et al.. (2013). Human Ovarian Cancer Stroma Contains Luteinized Theca Cells Harboring Tumor Suppressor Gene GT198 Mutations. Journal of Biological Chemistry. 288(46). 33387–33397. 11 indexed citations
16.
Ziegler, Carly G.K., Min Peng, Marni J. Falk, et al.. (2011). Parkinson's disease-like neuromuscular defects occur in prenyl diphosphate synthase subunit 2 (Pdss2) mutant mice. Mitochondrion. 12(2). 248–257. 15 indexed citations
17.
Falk, Marni J., Erzsébet Polyák, Zhe Zhang, et al.. (2011). Probucol ameliorates renal and metabolic sequelae of primary CoQ deficiency in Pdss2 mutant mice. EMBO Molecular Medicine. 3(7). 410–427. 42 indexed citations
18.
Peng, Min, Na Yin, Jing Xue, et al.. (2010). Ectodomain shedding of Fcα receptor is mediated by ADAM10 and ADAM17. Immunology. 130(1). 83–91. 18 indexed citations
19.
Peng, Min, Na Yin, & Wei Zhang. (2009). Endocytosis of FcαR is clathrin and dynamin dependent, but its cytoplasmic domain is not required. Cell Research. 20(2). 223–237. 7 indexed citations
20.
Peng, Min, et al.. (2005). The mitochondrial and kidney disease phenotypes of kd/kd mice under germfree conditions. Journal of Autoimmunity. 26(1). 1–6. 27 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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