Juan Li

18.2k citations
693 papers · 13.2k indexed · h-index 55

Impact in

    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research
    • Cancer, Hypoxia, and Metabolism
    • Circular RNAs in diseases
    • Muscle Physiology and Disorders
    • RNA modifications and cancer
    • Epigenetics and DNA Methylation
    • RNA Research and Splicing

Papers in

Juan Li

646 papers receiving 13.1k citations

Peers

Juan Li
Comparison fields: 5 of 194
  • Cancer Research 2.7k
  • Molecular Biology 6.5k
  • Biological Psychiatry 145
  • Complementary and Manual Therapy 124
  • Cell Biology 860
Replace Yuji Naito with:
Yuji Naito Japan
Ali Mobasheri United Kingdom
Virginia B. Kraus United States
Chandan K. Sen United States
Lili Chen China
Hiroshi Inoue Japan
Sashwati Roy United States
Martin Lotz United States
Michael Emerson United Kingdom
Carol Kilkenny United Kingdom
Juan Li relative to Yuji Naito Japan Yuji Naito's profile →
Citations per field
00.5×1.5×2.0×
Yuji Naito · 1×
Citations per year

Countries citing papers authored by Juan Li

Since Specialization
Citations

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

Fields of papers citing papers by Juan Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
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19 201341
20 200996

About Juan Li

Juan Li is a scholar working on Cancer Research, Complementary and Manual Therapy, Orthodontics, Molecular Biology and Endocrine and Autonomic Systems, having authored 693 papers that have together received 13.2k indexed citations. Recurring topics across this work include MicroRNA in disease regulation (60 papers), Cancer-related molecular mechanisms research (37 papers), Neuropeptides and Animal Physiology (24 papers), Circular RNAs in diseases (24 papers), RNA modifications and cancer (22 papers), Cancer, Hypoxia, and Metabolism (21 papers), Bone Tissue Engineering Materials (21 papers) and Regulation of Appetite and Obesity (18 papers). The work is most often cited by research in Cancer Research (2.7k citations), Molecular Biology (6.5k citations), Biological Psychiatry (145 citations), Complementary and Manual Therapy (124 citations) and Cell Biology (860 citations). Juan Li has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Zhihe Zhao, Yajun Wang, Da‐Zhi Wang, Xiao Xiao, Zhong‐Liang Deng, Jian‐Fu Chen, Yazhong Tao, Zhen Yan, Shuwei Wang and Dongsheng Zhang. Their work appears in journals such as Scientific Reports, Journal of Clinical Oncology, PLoS ONE, Journal of Cellular Physiology and Oncotarget.

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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