Jun Deng

2.0k citations
75 papers · 1.4k indexed · h-index 24

Impact in

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

Papers in

    • Circular RNAs in diseases 12
    • RNA modifications and cancer 8
    • RNA Research and Splicing 4
    • Cancer-related molecular mechanisms research 19
    • MicroRNA in disease regulation 15

Jun Deng

64 papers receiving 1.4k citations

Peers

Jun Deng
Comparison fields: 5 of 94
  • Cancer Research 743
  • Molecular Biology 995
  • Oncology 226
  • Cell Biology 113
  • Immunology 146
Replace Yuxiang Liang with:
Yuxiang Liang China
Zhikun Ma China
Marisa Shiina United States
Ying Su China
Xiaoming Xu China
Xuenong Li China
Yi Shen United States
Shoumin Zhu United States
Shutao Zheng China
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Citations per field
00.5×1.5×2.5×
Yuxiang Liang · 1×
Citations per year

Countries citing papers authored by Jun Deng

Since Specialization
Citations

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

Fields of papers citing papers by Jun Deng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 75 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013102
2 201487
3 201585
4
TRIM29 functions as an oncogene in gastric cancer and is regulated by miR-185.
201565
5 201563
6 201659
7 201752
8 201550
9 201850
10 201542
11 201740
12 201840
13 201940
14 201839
15 202033
16 201731
17 202230
18 201529
19 201228
20 201727

About Jun Deng

Jun Deng is a scholar working on Molecular Biology, Cancer Research, Surgery, Pulmonary and Respiratory Medicine and Oncology, having authored 75 papers that have together received 1.4k indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (19 papers), MicroRNA in disease regulation (15 papers), Circular RNAs in diseases (12 papers), RNA modifications and cancer (8 papers), Hippo pathway signaling and YAP/TAZ (8 papers), Bladder and Urothelial Cancer Treatments (5 papers), Ferroptosis and cancer prognosis (5 papers) and RNA Research and Splicing (4 papers). The work is most often cited by research in Cancer Research (743 citations), Molecular Biology (995 citations), Oncology (226 citations), Cell Biology (113 citations) and Immunology (146 citations). Jun Deng has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Jianping Xiong, Xiaojun Xiang, Jun Chen, Ling Zhang, Feng Miao, Junhe Li, Feng Yu, Lei Wan, Shanshan Huang and Chunfeng Liu. Their work appears in journals such as Scientific Reports, Biochemical and Biophysical Research Communications, Tumor Biology, Journal of Cellular and Molecular Medicine and Journal of Thoracic Oncology.

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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