Renjun Peng

1.3k citations
42 papers · 852 · h-index 17

Impact in

    • Cancer-related molecular mechanisms research
    • MicroRNA in disease regulation
    • Cancer, Hypoxia, and Metabolism
    • Circular RNAs in diseases
    • RNA modifications and cancer
    • RNA Research and Splicing

Papers in

    • Circular RNAs in diseases 11
    • RNA Research and Splicing 3
    • MicroRNA in disease regulation 9
    • Cancer-related molecular mechanisms research 6

Renjun Peng

39 papers receiving 844 citations

Peers

Renjun Peng
Comparison fields: 5 of 87
  • Cancer Research 446
  • Molecular Biology 505
  • Genetics 36
  • Developmental Neuroscience 13
  • Pathology and Forensic Medicine 54
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Citations per field
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Citations per year

Countries citing papers authored by Renjun Peng

Since Specialization
Citations

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

Fields of papers citing papers by Renjun Peng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017148
2 2017102
3 201673
4 201555
5 201438
6 201333
7 201328
8 202325
9 201625
10 202223
11 202222
12 202021
13 201621
14 202219
15 201618
16 201817
17 202216
18 201816
19 201616
20 201715

About Renjun Peng

Renjun Peng is a scholar working on Molecular Biology, Cancer Research, Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Computer Vision and Pattern Recognition, having authored 42 papers that have together received 852 indexed citations. Recurring topics across this work include Circular RNAs in diseases (11 papers), MicroRNA in disease regulation (9 papers), Effects of Radiation Exposure (7 papers), Cancer-related molecular mechanisms research (6 papers), Optical measurement and interference techniques (5 papers), Image Processing Techniques and Applications (3 papers), Immune cells in cancer (3 papers) and RNA Research and Splicing (3 papers). The work is most often cited by research in Cancer Research (446 citations), Molecular Biology (505 citations), Genetics (36 citations), Developmental Neuroscience (13 citations) and Pathology and Forensic Medicine (54 citations). Renjun Peng has collaborated with scholars based in China, United Kingdom and Hong Kong. Frequent co-authors include Yiwei Liao, Haiting Zhao, Peng Du, Gang Peng, Qing Liu, Quan Cheng, Bing‐Hua Jiang, Lei Cheng, Yong Guo and Qing Liu. Their work appears in journals such as Frontiers in Immunology, Optics Express, Scientific Reports, Heliyon and International Journal of Radiation Oncology*Biology*Physics.

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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