Junli Deng

645 citations
9 papers · 505 · h-index 7

Impact in

    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research
    • Cancer, Hypoxia, and Metabolism
    • Cancer Cells and Metastasis

Papers in

    • FOXO transcription factor regulation 2
    • Glycosylation and Glycoproteins Research 1
    • Cancer Cells and Metastasis 3

Junli Deng

8 papers receiving 499 citations

Peers

Junli Deng
Comparison fields: 5 of 61
  • Cancer Research 151
  • Oncology 171
  • Reproductive Medicine 41
  • Molecular Biology 302
  • Immunology 46
Replace Zhihong Ai with:
Zhihong Ai China
Sergey Karakashev United States
Yangxin Fu Canada
Shane W. O’Brien United States
Corine M. Beaufort Netherlands
Patrycja Tudrej Poland
Florence Giffard France
Dawo Liu China
Chiara Bellio United States
Alexandria Haslehurst Canada
Junli Deng relative to Zhihong Ai China Zhihong Ai's profile →
Citations per field
00.5×1.5×1.9×
Zhihong Ai · 1×
Citations per year

Countries citing papers authored by Junli Deng

Since Specialization
Citations

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

Fields of papers citing papers by Junli Deng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

9 of 9 papers shown
#Work
1 2019180
2 201594
3 201688
4 201384
5 201629
6 201521
7 20168
8 20171
9 20210

About Junli Deng

Junli Deng is a scholar working on Molecular Biology, Oncology, Pulmonary and Respiratory Medicine, Spectroscopy and Cancer Research, having authored 9 papers that have together received 505 indexed citations. Recurring topics across this work include Cancer Cells and Metastasis (3 papers), FOXO transcription factor regulation (2 papers), Wireless Communication Networks Research (1 paper), Advanced Proteomics Techniques and Applications (1 paper), Glycosylation and Glycoproteins Research (1 paper), Ferroptosis and cancer prognosis (1 paper), Galectins and Cancer Biology (1 paper) and Mass Spectrometry Techniques and Applications (1 paper). The work is most often cited by research in Cancer Research (151 citations), Oncology (171 citations), Reproductive Medicine (41 citations), Molecular Biology (302 citations) and Immunology (46 citations). Junli Deng has collaborated with scholars based in China and Australia. Frequent co-authors include Yong Li, Jie Ni, Peter Graham, Julia Beretov, Xupeng Bai, Jingli Hao, Hongmin Chen, Lei Chang, David Malouf and David Gillatt. Their work appears in journals such as Oncotarget, Cancer and Metastasis Reviews, Annals of Palliative Medicine, Clinical & Translational Oncology and BMC Cancer.

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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