Jingrun Ye

439 citations
9 papers · 340 · h-index 8

Impact in

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

Papers in

    • RNA Research and Splicing 4
    • RNA modifications and cancer 2
    • Cancer-related molecular mechanisms research 6
    • MicroRNA in disease regulation 3

Jingrun Ye

9 papers receiving 335 citations

Peers

Jingrun Ye
Comparison fields: 5 of 42
  • Cancer Research 243
  • Molecular Biology 242
  • Electronic, Optical and Magnetic Materials 15
  • Materials Chemistry 27
  • Immunology 11
Replace Wenjie Lai with:
Wenjie Lai China
Casey A. Schmidt United States
Shanshan Qin China
Weihao Zhao China
Bo-Lin Xiao China
Francesco Tabaro Italy
Liliia Paniushkina Germany
Jessica Corsi Italy
Jinyu Wu China
Yiyang Jiang China
Jingrun Ye relative to Wenjie Lai China Wenjie Lai's profile →
Citations per field
00.5×10×20×30×41×
Wenjie Lai · 1×
Citations per year

Countries citing papers authored by Jingrun Ye

Since Specialization
Citations

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

Fields of papers citing papers by Jingrun Ye

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

9 of 9 papers shown
#Work
1 2015177
2 201445
3 202331
4 201221
5 201418
6 201416
7 201314
8 201313
9 20245

About Jingrun Ye

Jingrun Ye is a scholar working on Molecular Biology, Cancer Research, Materials Chemistry, Physiology and Genetics, having authored 9 papers that have together received 340 indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (6 papers), RNA Research and Splicing (4 papers), MicroRNA in disease regulation (3 papers), Advanced Nanomaterials in Catalysis (2 papers), Nanocluster Synthesis and Applications (2 papers), RNA modifications and cancer (2 papers), Gold and Silver Nanoparticles Synthesis and Applications (1 paper) and Plant and Fungal Interactions Research (1 paper). The work is most often cited by research in Cancer Research (243 citations), Molecular Biology (242 citations), Electronic, Optical and Magnetic Materials (15 citations), Materials Chemistry (27 citations) and Immunology (11 citations). Jingrun Ye has collaborated with scholars based in China. Frequent co-authors include Shangwei Ning, Xia Li, Ronghong Li, Zuxianglan Zhao, Peng Wang, Tingting Wang, Hui Zhi, Zheng Guo, Yunpeng Zhang and Kang Liu. Their work appears in journals such as PLoS ONE, European Journal of Human Genetics, RSC Advances, BMC Bioinformatics and Nucleic Acids 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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