Yi Su

723 citations
20 papers · 532 · h-index 12

Impact in

    • Cancer-related molecular mechanisms research
    • Epigenetics and DNA Methylation
    • RNA modifications and cancer
    • Cancer-related gene regulation
    • Histone Deacetylase Inhibitors Research
    • Protein Degradation and Inhibitors
    • Ubiquitin and proteasome pathways

Papers in

    • Epigenetics and DNA Methylation 6
    • Histone Deacetylase Inhibitors Research 4
    • Protein Degradation and Inhibitors 3
    • Cancer-related gene regulation 3
    • RNA modifications and cancer 3
    • RNA Research and Splicing 2
    • Fibroblast Growth Factor Research 2
    • Cancer-related molecular mechanisms research 2

Yi Su

20 papers receiving 530 citations

Peers

Yi Su
Comparison fields: 5 of 75
  • Cancer Research 82
  • Molecular Biology 352
  • Hematology 28
  • Oncology 64
  • Immunology 47
Replace Kelly M. Redmond with:
Kelly M. Redmond United Kingdom
F. Andrew Ray United States
Raymond E. Meyn United States
Yun Xu China
Holly Brunton United Kingdom
Dong Qian China
Hong-Bin Fang United States
Malin Lando Norway
Nikko Brix Germany
Neele Drobnitzky United Kingdom
Yi Su relative to Kelly M. Redmond United Kingdom Kelly M. Redmond's profile →
Citations per field
00.5×
Kelly M. Redmond · 1×
Citations per year

Countries citing papers authored by Yi Su

Since Specialization
Citations

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

Fields of papers citing papers by Yi Su

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 2018210
2 201786
3 202139
4 201930
5 201725
6 201822
7 201422
8 201919
9 201716
10 201815
11 201813
12 201613
13 20209
14 20204
15 20233
16 20122
17 20251
18 20191
19 20241
20 20201

About Yi Su

Yi Su is a scholar working on Molecular Biology, Cancer Research, Genetics, Immunology and Organic Chemistry, having authored 20 papers that have together received 532 indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (6 papers), Histone Deacetylase Inhibitors Research (4 papers), Protein Degradation and Inhibitors (3 papers), Cancer-related gene regulation (3 papers), RNA modifications and cancer (3 papers), RNA Research and Splicing (2 papers), Fibroblast Growth Factor Research (2 papers) and Cancer-related molecular mechanisms research (2 papers). The work is most often cited by research in Cancer Research (82 citations), Molecular Biology (352 citations), Hematology (28 citations), Oncology (64 citations) and Immunology (47 citations). Yi Su has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Yanyan Shen, Meiyu Geng, Jian Ding, Yi Chen, Xun Huang, Rongrui Wei, Xuhong Fu, Yafang Wang, Hong Yang and Xiong Zhang. Their work appears in journals such as Acta Pharmacologica Sinica, Cancer Research, Nature Communications, Journal of Medicinal Chemistry and BioMed Research International.

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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