Rui Yao

512 citations
13 papers · 399 · h-index 10

Impact in

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

Papers in

    • Circular RNAs in diseases 5
    • RNA Research and Splicing 3
    • MicroRNA in disease regulation 6
    • Cancer-related molecular mechanisms research 6

Rui Yao

13 papers receiving 397 citations

Peers

Rui Yao
Comparison fields: 5 of 72
  • Cancer Research 275
  • Molecular Biology 268
  • Molecular Medicine 15
  • Neurology 21
  • Complementary and alternative medicine 14
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Citations per field
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Wenxia Han · 1×
Citations per year

Countries citing papers authored by Rui Yao

Since Specialization
Citations

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

Fields of papers citing papers by Rui Yao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

13 of 13 papers shown
#Work
1 2017121
2 201166
3 201949
4 201942
5 201832
6 201928
7 202116
8
MicroRNA-155 induces differentiation of RAW264.7 cells into dendritic-like cells.
201516
9 202012
10 20209
11 20245
12
Molecular cloning, characterization, and expression pattern of chemosensory protein 1 gene (Acer-CSP1) in the Chinese honeybee, Apis cerana cerana (Hymenoptera: Apidae).
20102
13 20241

About Rui Yao

Rui Yao is a scholar working on Molecular Biology, Cancer Research, Physiology, Genetics and Immunology, having authored 13 papers that have together received 399 indexed citations. Recurring topics across this work include MicroRNA in disease regulation (6 papers), Cancer-related molecular mechanisms research (6 papers), Circular RNAs in diseases (5 papers), RNA Research and Splicing (3 papers), 3D Printing in Biomedical Research (2 papers), Biomedical Ethics and Regulation (2 papers), interferon and immune responses (1 paper) and Genetic and phenotypic traits in livestock (1 paper). The work is most often cited by research in Cancer Research (275 citations), Molecular Biology (268 citations), Molecular Medicine (15 citations), Neurology (21 citations) and Complementary and alternative medicine (14 citations). Rui Yao has collaborated with scholars based in China, Netherlands and Switzerland. Frequent co-authors include Xiaoxi Yao, Jiping Yi, Sen Guo, Lili Xiao, Yanzhou Zhang, Zheng Wang, Yuan Liu, Leiming Wu, Yuzhou Liu and Lu Gao. Their work appears in journals such as Cellular Physiology and Biochemistry, Cellular and Molecular Immunology, Bioscience Reports, Animals and Functional & Integrative Genomics.

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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