Ju A Son

415 citations
9 papers · 284 · 1 hit paper · h-index 9

Impact in

    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research
  • Hepatology top 10%
    • Hepatocellular Carcinoma Treatment and Prognosis

Papers in

    • Cancer-related molecular mechanisms research 5
    • MicroRNA in disease regulation 4
    • Cancer, Lipids, and Metabolism 1
    • Extracellular vesicles in disease 3
    • Circular RNAs in diseases 2
    • RNA modifications and cancer 1

Ju A Son

9 papers receiving 282 citations

Ju A Son's Hit Papers

Cancer‐associated fibroblast‐derived secreted phosphoprotein 1 contributes to resistance of hepatocellular carcinoma to sorafenib and lenvatinib 2023 · 124 citations
1240+1+2Years since publication4080120

Peers

Ju A Son
Comparison fields: 5 of 39
  • Cancer Research 128
  • Hepatology 45
  • Molecular Biology 155
  • Pulmonary and Respiratory Medicine 50
  • Oncology 41
Replace Liye Tao with:
Liye Tao China
Yishi Lu China
Wenxuan Xie China
Wenli Sai China
Shuya Bai China
Shanrong Liu China
Mengxian Tu China
Xiao-Dong Zhu China
Mara Persano Italy
Yoshimoto Nomura Japan
Ju A Son relative to Liye Tao China Liye Tao's profile →
Citations per field
00.5×1.5×
Liye Tao · 1×
Citations per year

Countries citing papers authored by Ju A Son

Since Specialization
Citations

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

Fields of papers citing papers by Ju A Son

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ju A Son. 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 Ju A Son. The network helps show where Ju A Son may publish in the future.

Co-authors

The 19 scholars most cited alongside Ju A Son, 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 Ju A Son Line = papers co-authored together Ju A Son links everyone, so they are left out of the graph.

All Works

9 of 9 papers shown
#Work
1
Cancer‐associated fibroblast‐derived secreted phosphoprotein 1 contributes to resistance of hepatocellular carcinoma to sorafenib and lenvatinib
Hit paper breakdown →
2023124
2 202049
3 202132
4 202019
5 202217
6 202112
7 202212
8 202311
9 20238

About Ju A Son

Ju A Son is a scholar working on Cancer Research, Molecular Biology, Pulmonary and Respiratory Medicine, Infectious Diseases and Organic Chemistry, having authored 9 papers that have together received 284 indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (5 papers), MicroRNA in disease regulation (4 papers), Extracellular vesicles in disease (3 papers), Ferroptosis and cancer prognosis (2 papers), Circular RNAs in diseases (2 papers), Cancer, Lipids, and Metabolism (1 paper) and RNA modifications and cancer (1 paper). The work is most often cited by research in Cancer Research (128 citations), Hepatology (45 citations), Molecular Biology (155 citations), Pulmonary and Respiratory Medicine (50 citations) and Oncology (41 citations). Ju A Son has collaborated with scholars based in South Korea. Frequent co-authors include Hye Ri Ahn, Hyo Jung Cho, Jung Woo Eun, Geum Ok Baek, Soon Sun Kim, Jae Youn Cheong, Jung Hwan Yoon, Suk Woo Nam, Young Bae Kim and Su Bin Lim. Their work appears in journals such as Cancers, Journal of Experimental & Clinical Cancer Research, Molecular Oncology, Cancer Medicine and Cancer Communications.

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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