Jun‐Li Deng

769 citations
14 papers · 527 · h-index 11

Impact in

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

Papers in

    • RNA modifications and cancer 6
    • RNA Research and Splicing 4
    • Bioinformatics and Genomic Networks 2
    • Gene expression and cancer classification 1
    • Cancer-related molecular mechanisms research 6

Jun‐Li Deng

14 papers receiving 525 citations

Peers

Jun‐Li Deng
Comparison fields: 5 of 64
  • Cancer Research 278
  • Molecular Biology 322
  • Pulmonary and Respiratory Medicine 97
  • Endocrinology 15
  • Oncology 49
Replace Xigang Hu with:
Xigang Hu China
Wenyu Chen China
Yiqian Zhang China
Chi Huang China
Chi Han Li Hong Kong
Maryam Abbastabar Iran
Jiawen Wu China
Mitsuho Imai-Sumida United States
Jun‐Li Deng relative to Xigang Hu China Xigang Hu's profile →
Citations per field
00.5×3.5×
Xigang Hu · 1×
Citations per year

Countries citing papers authored by Jun‐Li Deng

Since Specialization
Citations

This map shows the geographic impact of Jun‐Li 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‐Li 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‐Li Deng more than expected).

Fields of papers citing papers by Jun‐Li Deng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

14 of 14 papers shown
#Work
1 2019153
2 201780
3 201962
4 201860
5 201739
6 202035
7 201928
8 202117
9 201914
10 202011
11 202310
12 201910
13 20227
14 20251

About Jun‐Li Deng

Jun‐Li Deng is a scholar working on Molecular Biology, Cancer Research, Pulmonary and Respiratory Medicine, Oncology and Genetics, having authored 14 papers that have together received 527 indexed citations. Recurring topics across this work include RNA modifications and cancer (6 papers), Cancer-related molecular mechanisms research (6 papers), RNA Research and Splicing (4 papers), Ferroptosis and cancer prognosis (3 papers), Bioinformatics and Genomic Networks (2 papers), Cancer-related Molecular Pathways (2 papers), Prostate Cancer Treatment and Research (1 paper) and Gene expression and cancer classification (1 paper). The work is most often cited by research in Cancer Research (278 citations), Molecular Biology (322 citations), Pulmonary and Respiratory Medicine (97 citations), Endocrinology (15 citations) and Oncology (49 citations). Jun‐Li Deng has collaborated with scholars based in China and United States. Frequent co-authors include Guo Wang, Yunhua Xu, Yuan‐Shan Zhu, Zhixing Li, Qiong-Ni Zhu, Rui Zhang, Ying Zeng, Jie Tang, Ying Guo and Yan Peng. Their work appears in journals such as Cancer Letters, Emerging Microbes & Infections, Frontiers in Oncology, International Journal of Environmental Research and Public Health and The Crop Journal.

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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