Yangzhou Su

1.4k citations
4 papers · 1.0k · 1 hit paper · h-index 4

Impact in

    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research
    • Extracellular vesicles in disease
    • Circular RNAs in diseases
    • RNA Interference and Gene Delivery
    • Advanced biosensing and bioanalysis techniques

Papers in

    • Genomics and Chromatin Dynamics 1
    • Protein Degradation and Inhibitors 1
    • Histone Deacetylase Inhibitors Research 1
    • Advanced biosensing and bioanalysis techniques 1
    • RNA Interference and Gene Delivery 1
    • Circular RNAs in diseases 1
    • Immunotherapy and Immune Responses 1

Yangzhou Su

4 papers receiving 1.0k citations

Yangzhou Su's Hit Papers

Exosomes: key players in cancer and potential therapeutic strategy 2020 · 933 citations
9330+2+4Years since publication250500750

Peers

Yangzhou Su
Comparison fields: 5 of 78
  • Cancer Research 460
  • Molecular Biology 833
  • Immunology 126
  • Oncology 88
  • Microbiology 20
Replace Suye Zhong with:
Suye Zhong China
Tin Chanh Pham Hong Kong
Victor Ma China
Omnia M. Elsharkasy Netherlands
Luyen Tien Vu Singapore
Chuanshi He China
Xiaomou Wei China
Boya Peng China
Goar Smbatyan United States
Kimi Honma Japan
Yangzhou Su relative to Suye Zhong China Suye Zhong's profile →
Citations per field
00.5×1.5×
Suye Zhong · 1×
Citations per year

Countries citing papers authored by Yangzhou Su

Since Specialization
Citations

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

Fields of papers citing papers by Yangzhou Su

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

4 of 4 papers shown

About Yangzhou Su

Yangzhou Su is a scholar working on Molecular Biology, Immunology, Cancer Research, Infectious Diseases and Organic Chemistry, having authored 4 papers that have together received 1.0k indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (1 paper), MicroRNA in disease regulation (1 paper), Immunotherapy and Immune Responses (1 paper), Protein Degradation and Inhibitors (1 paper), Histone Deacetylase Inhibitors Research (1 paper), Advanced biosensing and bioanalysis techniques (1 paper), RNA Interference and Gene Delivery (1 paper) and Circular RNAs in diseases (1 paper). The work is most often cited by research in Cancer Research (460 citations), Molecular Biology (833 citations), Immunology (126 citations), Oncology (88 citations) and Microbiology (20 citations). Yangzhou Su has collaborated with scholars based in China, United States and Saudi Arabia. Frequent co-authors include Cong Li, Suye Zhong, Yongguang Tao, Zuping He, Chao Chen, Yiqun Jiang, Junjun Yang, Bang Liu, Jie Dai and Tao Wu. Their work appears in journals such as Clinical and Translational Medicine, Cancer Immunology Immunotherapy, Signal Transduction and Targeted Therapy and Science Advances.

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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