Yuying Liu

6.6k citations
116 papers · 3.3k indexed · 2 hit papers · h-index 29
  • Immunology top 5%
    • Immune Cell Function and Interaction 6
    • Cancer-related molecular mechanisms research 7
    • Cancer, Hypoxia, and Metabolism 5
    • RNA modifications and cancer 10
    • Circular RNAs in diseases 6
    • RNA Research and Splicing 6
  • Oncology top 5%
    • CAR-T cell therapy research 5
  • Physiology top 5%
    • Cellular Mechanics and Interactions 5

Yuying Liu

107 papers receiving 3.3k citations

Hit Papers

Gasdermin E–mediated target cell pyroptosis by CAR T cell...4232018202620202023100200300400

Peers

Yuying Liu
Comparison fields: 5 of 146
  • Immunology 876
  • Cancer Research 571
  • Molecular Biology 1.7k
  • Oncology 559
  • Physiology 75
Replace Ling Lü with:
Ling Lü China
Ming Zhao China
Jianfeng Li China
Nausicaa Clemente Italy
Jennifer Zhang United States
Hong Liu China
Caroline Bouzin Belgium
Xiaojing Liu China
Hiroshi Akazawa Japan
Hideyuki Yamawaki Japan
Yuying Liu relative to Ling Lü China Ling Lü's profile →
Citations per field
00.5×2.9×
Ling Lü · 1×
Citations per year

Countries citing papers authored by Yuying Liu

Since Specialization
Citations

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

Fields of papers citing papers by Yuying Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
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10 202429
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15 202175
16 202088
17 201888
18 201848
19 20173
20
[MnSOD gene regulated by aminopeptidase N promoter specifically protects bone marrow from radiation].
20022

About Yuying Liu

Yuying Liu is a scholar working on Cancer Research, Immunology and Cell Biology, having authored 116 papers that have together received 3.3k indexed citations. Recurring topics across this work include RNA modifications and cancer (10 papers), Cancer-related molecular mechanisms research (7 papers), Immune Cell Function and Interaction (6 papers), Circular RNAs in diseases (6 papers), RNA Research and Splicing (6 papers), Cellular Mechanics and Interactions (5 papers), CAR-T cell therapy research (5 papers) and Cancer, Hypoxia, and Metabolism (5 papers). The work is most often cited by research in Immunology (876 citations), Cancer Research (571 citations) and Molecular Biology (1.7k citations). Yuying Liu has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Ke Tang, Jiadi Lv, Jing Xie, Bo Huang, Jingwei Ma, Yabo Zhou, Xiaoyu Liang, Feiran Cheng, Tianzhen Zhang and Bo Huang. Their work appears in journals such as Angewandte Chemie International Edition, Nature Communications and The Journal of Chemical Physics.

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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