Jun Peng

3.3k citations
105 papers · 2.8k · h-index 27

Impact in

Papers in

Jun Peng

102 papers receiving 2.7k citations

Peers

Jun Peng
Comparison fields: 5 of 126
  • Cell Biology 398
  • Immunology and Allergy 123
  • Complementary and alternative medicine 131
  • Molecular Biology 1.0k
  • Cancer Research 185
Replace Yan Qiu with:
Yan Qiu China
Yue Huang China
Juan Du China
Guoqiang Jiang China
Ting Zhang China
Jung‐Hyun Kim South Korea
Zhenxiang Liu China
Jaroslaw A. Czyz Poland
Cosmo Rossi Italy
Jun Peng relative to Yan Qiu China Yan Qiu's profile →
Citations per field
00.5×1.5×2×2.3×
Yan Qiu · 1×
Citations per year

Countries citing papers authored by Jun Peng

Since Specialization
Citations

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

Fields of papers citing papers by Jun Peng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Jun 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 Jun Peng Line = papers co-authored together Jun Peng links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 105 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003216
2 2009176
3 2006133
4 2007106
5 2005105
6 200895
7 201686
8 201780
9 200777
10 200469
11 200766
12 202060
13 202057
14 201549
15 202449
16 201746
17 202045
18 201643
19 201342
20 200642

About Jun Peng

Jun Peng is a scholar working on Pharmacology, Cardiology and Cardiovascular Medicine, Molecular Biology, Oncology and Complementary and alternative medicine, having authored 105 papers that have together received 2.8k indexed citations. Recurring topics across this work include Cell death mechanisms and regulation (11 papers), RNA Interference and Gene Delivery (9 papers), Cardiac Fibrosis and Remodeling (7 papers), Renin-Angiotensin System Studies (7 papers), Cancer-related molecular mechanisms research (5 papers), Flavonoids in Medical Research (5 papers), Cytokine Signaling Pathways and Interactions (4 papers) and Metabolomics and Mass Spectrometry Studies (4 papers). The work is most often cited by research in Cell Biology (398 citations), Immunology and Allergy (123 citations), Complementary and alternative medicine (131 citations), Molecular Biology (1.0k citations) and Cancer Research (185 citations). Jun Peng has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Arthur S. Alberts, Hui Lou, Bradley J. Wallar, Jialing Lin, Ping Chen, Xiaoming Zheng, Pamela J. Swiatek, Jiumao Lin, Jianfeng Chu and Suzanne M. Lapolla. Their work appears in journals such as Chinese Journal of Integrative Medicine, Biomedicine & Pharmacotherapy, Journal of Ethnopharmacology, Journal of Biological Chemistry and European Journal of Pharmacology.

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.

Explore authors with similar magnitude of impact