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

Min Peng
Comparison fields: 5 of 138
  • Molecular Biology 3.1k
  • Immunology 1.0k
  • Cancer Research 833
  • Oncology 777
  • Genetics 482
Metsada Pasmanik‐Chor Israel
Judith M. Müller Germany
Chi Ma United States
Kazuhiro Ikeda Japan
Jongsun Park South Korea
Alexey Kotlyarov Germany
Douglas J. Mahoney Canada
Dooil Jeoung South Korea
Michael J. Ausserlechner Austria
Minna Woo Canada
Metsada Pasmanik‐Chor Israel View profile →
Citations per field, relative to Min Peng
Min Peng · 1×
Citations per year, relative to Min Peng
Min Peng · 1×

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
# Work Indexed citations
1 0
2 1
3 0
4 21
5 14
6 23
7 2
8 7
9
Glycolysis fuels phosphoinositide 3-kinase signaling to bolster T cell immunity breakdown →
252
10 33
11 14
12
Aerobic glycolysis promotes T helper 1 cell differentiation through an epigenetic mechanism breakdown →
599
13 56
14 24
15 11
16 15
17 42
18 18
19 7
20 27

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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