Keyong Sun

467 citations
12 papers · 328 · h-index 9

Impact in

    • Immune Cell Function and Interaction
    • Immune cells in cancer
    • Cancer Immunotherapy and Biomarkers
    • CAR-T cell therapy research

Papers in

    • Genomics and Chromatin Dynamics 3
    • Single-cell and spatial transcriptomics 3
    • RNA Research and Splicing 2
    • Epigenetics and DNA Methylation 2
    • CRISPR and Genetic Engineering 1
    • CAR-T cell therapy research 2
    • Cancer Immunotherapy and Biomarkers 2

Keyong Sun

12 papers receiving 321 citations

Peers

Keyong Sun
Comparison fields: 5 of 61
  • Immunology 66
  • Oncology 67
  • Cancer Research 30
  • Molecular Biology 148
  • Biomaterials 23
Replace Yao Sun with:
Yao Sun China
Antara Biswas United States
Matías Marín Falco Finland
Chenya Zhuo China
Farhad Dastmalchi United States
Zhaoli Li China
Xue Dong China
Jayoung Ku South Korea
Irmi Wiest Germany
Serena Renzi Italy
Keyong Sun relative to Yao Sun China Yao Sun's profile →
Citations per field
00.5×2×4×6×
Yao Sun · 1×
Citations per year

Countries citing papers authored by Keyong Sun

Since Specialization
Citations

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

Fields of papers citing papers by Keyong Sun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

12 of 12 papers shown
#Work
1 2022105
2 201758
3 201843
4 202238
5 202120
6 202116
7 202415
8 202415
9 20249
10 20245
11 20242
12 20242

About Keyong Sun

Keyong Sun is a scholar working on Molecular Biology, Oncology, Immunology, Radiology, Nuclear Medicine and Imaging and Biotechnology, having authored 12 papers that have together received 328 indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (3 papers), Single-cell and spatial transcriptomics (3 papers), CAR-T cell therapy research (2 papers), RNA Research and Splicing (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), Cancer Immunotherapy and Biomarkers (2 papers), Epigenetics and DNA Methylation (2 papers) and CRISPR and Genetic Engineering (1 paper). The work is most often cited by research in Immunology (66 citations), Oncology (67 citations), Cancer Research (30 citations), Molecular Biology (148 citations) and Biomaterials (23 citations). Keyong Sun has collaborated with scholars based in China, United States and Ethiopia. Frequent co-authors include Xun Lan, Hong Wang, Min Wang, Zheng Qiu, Lijun Xing, Yifeng Xu, Fang Zhang, Juan Zhang, Fuhai Ma and Jianping Xiong. Their work appears in journals such as Nature Cell Biology, Cell Reports, Scientific Reports, 中国科学通报:英文版 and Nature Communications.

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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