Min Peng

6.2k citations
94 papers · 4.6k indexed · 3 hit papers · h-index 33
    • MicroRNA in disease regulation 6
  • Immunology top 2%
    • Immune Cell Function and Interaction 11
    • T-cell and B-cell Immunology 7
    • DNA Repair Mechanisms 14
    • Mitochondrial Function and Pathology 10
    • CRISPR and Genetic Engineering 8
    • Circular RNAs in diseases 6
  • Aging top 5%
  • Oncology top 5%
    • CAR-T cell therapy research 7

Min Peng

88 papers receiving 4.6k citations

Hit Papers

Replication gaps are a key determinant of P...2292016202620192022100200300400500

Peers

Min Peng
Comparison fields: 5 of 138
  • Cancer Research 833
  • Immunology 1.0k
  • Molecular Biology 3.1k
  • Aging 78
  • Oncology 777
Replace Mark Peggie with:
Mark Peggie United Kingdom
Jongsun Park South Korea
Issam Ben‐Sahra United States
Greg M. Brothers Canada
Satoshi Matsuda Japan
Michela Palmieri United States
Anton M. Bennett United States
Monther Abu-Remaileh United States
Mohanish Deshmukh United States
Xueping Qu United States
Min Peng relative to Mark Peggie United Kingdom Mark Peggie's profile →
Citations per field
00.5×1.5×1.8×
Mark Peggie · 1×
Citations per year

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

The 25 scholars most cited alongside Min Peng, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Min Peng Line = papers co-authored together Min Peng links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20251
3 20250
4 202421
5 202414
6 202323
7 20232
8 20227
9
Glycolysis fuels phosphoinositide 3-kinase signaling to bolster T cell immunitybreakdown →
2021252
10 202133
11 201714
12
Aerobic glycolysis promotes T helper 1 cell differentiation through an epigenetic mechanismbreakdown →
2016599
13 201556
14 201324
15 201311
16 201115
17 201142
18 201018
19 20097
20 200527

About Min Peng

Min Peng is a scholar working on Cancer Research, Clinical Biochemistry and Immunology, having authored 94 papers that have together received 4.6k indexed citations. Recurring topics across this work include DNA Repair Mechanisms (14 papers), Immune Cell Function and Interaction (11 papers), Mitochondrial Function and Pathology (10 papers), CRISPR and Genetic Engineering (8 papers), T-cell and B-cell Immunology (7 papers), CAR-T cell therapy research (7 papers), MicroRNA in disease regulation (6 papers) and Circular RNAs in diseases (6 papers). The work is most often cited by research in Cancer Research (833 citations), Immunology (1.0k citations) and Molecular Biology (3.1k citations). Min Peng has collaborated with scholars based in China, United States and Netherlands. Frequent 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. Their work appears in journals such as Nature, Science and Cell.

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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