Shanyu Ye

455 citations
10 papers · 363 · 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
    • Inflammasome and immune disorders
    • Cancer-related gene regulation

Papers in

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

Shanyu Ye

10 papers receiving 362 citations

Peers

Shanyu Ye
Comparison fields: 5 of 58
  • Cancer Research 149
  • Molecular Biology 285
  • Neurology 22
  • Nephrology 18
  • Pulmonary and Respiratory Medicine 80
Replace Amruta Singh with:
Amruta Singh India
Peipei Luan China
Xiong Qin China
Siwei Liu China
Wenxin Kou China
Xiaoting Xi China
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Citations per field
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Amruta Singh · 1×
Citations per year

Countries citing papers authored by Shanyu Ye

Since Specialization
Citations

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

Fields of papers citing papers by Shanyu Ye

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

10 of 10 papers shown
#Work
1 202084
2 202067
3 202159
4 202246
5 201936
6 202125
7 202022
8 202118
9 20223
10 20223

About Shanyu Ye

Shanyu Ye is a scholar working on Molecular Biology, Cancer Research, Pulmonary and Respiratory Medicine, Rheumatology and Molecular Medicine, having authored 10 papers that have together received 363 indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (6 papers), MicroRNA in disease regulation (4 papers), RNA Research and Splicing (4 papers), RNA regulation and disease (4 papers), RNA modifications and cancer (3 papers), Ferroptosis and cancer prognosis (2 papers), Circular RNAs in diseases (2 papers) and Curcumin's Biomedical Applications (1 paper). The work is most often cited by research in Cancer Research (149 citations), Molecular Biology (285 citations), Neurology (22 citations), Nephrology (18 citations) and Pulmonary and Respiratory Medicine (80 citations). Shanyu Ye has collaborated with scholars based in China and Hong Kong. Frequent co-authors include Dongfeng Chen, Wenwen Si, Meiling Zhu, Weihong Kuang, Zhen Li, Zifeng Huang, Yi Li, Yangping Liu, Xuelei Liu and Saixia Zhang. Their work appears in journals such as International Journal of Molecular Medicine, Biochemical and Biophysical Research Communications, Cell Proliferation, Communications Biology and Evidence-based Complementary and Alternative Medicine.

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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