Jun Deng

475 citations
26 papers · 355 · h-index 12

Impact in

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

Papers in

Jun Deng

25 papers receiving 349 citations

Peers

Jun Deng
Comparison fields: 5 of 75
  • Cancer Research 136
  • Molecular Biology 235
  • Nephrology 13
  • Immunology 38
  • Immunology and Allergy 10
Replace Hongbo Li with:
Hongbo Li China
Haiyang Li China
Irene Flati Italy
So Yeon Jeong South Korea
Chuanfu Li United States
Amit Gupta India
Pan Xu China
Xue Zhao China
Shuo Miao China
Jun Deng relative to Hongbo Li China Hongbo Li's profile →
Citations per field
00.5×1.5×
Hongbo Li · 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 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201776
2 201240
3 202123
4 201823
5 202422
6 199819
7 201918
8 201516
9 202416
10 202314
11 201911
12 200011
13 20228
14 20237
15 20237
16 20207
17 20197
18 20216
19 20005
20 20234

About Jun Deng

Jun Deng is a scholar working on Molecular Biology, Epidemiology, Cancer Research, Immunology and Oncology, having authored 26 papers that have together received 355 indexed citations. Recurring topics across this work include RNA modifications and cancer (7 papers), Cancer-related molecular mechanisms research (5 papers), MicroRNA in disease regulation (4 papers), Cancer-related gene regulation (3 papers), Autophagy in Disease and Therapy (3 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (2 papers), Invertebrate Immune Response Mechanisms (1 paper) and Allergic Rhinitis and Sensitization (1 paper). The work is most often cited by research in Cancer Research (136 citations), Molecular Biology (235 citations), Nephrology (13 citations), Immunology (38 citations) and Immunology and Allergy (10 citations). Jun Deng has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Huan Deng, Yujia Liang, Reen Wu, Yi Zhang, Guangyao Zeng, Lei Ren, Derick Lau, Yin Chen, Hong Zhu and Hong Wang. Their work appears in journals such as Medicine, Bioscience Reports, Journal of Pharmacology and Experimental Therapeutics, Clinical & Translational Oncology and Neuroscience Research.

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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