Keyong Sun

428 citations
9 papers · 245 · h-index 6

Impact in

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

Papers in

    • Single-cell and spatial transcriptomics 3
    • Genomics and Chromatin Dynamics 2
    • RNA Research and Splicing 2
    • Glycosylation and Glycoproteins Research 1
    • Cancer Immunotherapy and Biomarkers 2
    • CAR-T cell therapy research 2

Keyong Sun

9 papers receiving 241 citations

Peers

Keyong Sun
Comparison fields: 5 of 56
  • Immunology 47
  • Oncology 47
  • Cancer Research 23
  • Biomaterials 22
  • Molecular Biology 106
Replace Maria Rita Fabbrizi with:
Maria Rita Fabbrizi United Kingdom
Brenda Raud Germany
Emrah Ilker Ozay United States
Chenya Zhuo China
Yao Sun China
Julien Daubriac United States
Lichen Bao China
Nathan R. Miselis United States
Xue Dong China
Keyong Sun relative to Maria Rita Fabbrizi United Kingdom Maria Rita Fabbrizi's profile →
Citations per field
00.5×1.5×2.0×
Maria Rita Fabbrizi · 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

9 of 9 papers shown
#Work
1 202291
2 201756
3 201841
4 202118
5 202115
6 202413
7 20245
8 20245
9 20241

About Keyong Sun

Keyong Sun is a scholar working on Molecular Biology, Oncology, Immunology, Radiology, Nuclear Medicine and Imaging and Infectious Diseases, having authored 9 papers that have together received 245 indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (3 papers), Genomics and Chromatin Dynamics (2 papers), Cancer Immunotherapy and Biomarkers (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), CAR-T cell therapy research (2 papers), RNA Research and Splicing (2 papers), Glycosylation and Glycoproteins Research (1 paper) and Immunotherapy and Immune Responses (1 paper). The work is most often cited by research in Immunology (47 citations), Oncology (47 citations), Cancer Research (23 citations), Biomaterials (22 citations) and Molecular Biology (106 citations). Keyong Sun has collaborated with scholars based in China and United States. Frequent co-authors include Xun Lan, Min Wang, Juan Zhang, Lijun Xing, Hong Wang, Fang Zhang, Zheng Qiu, Yifeng Xu, Fuhai Ma and Wenzhe Kang. Their work appears in journals such as Nature Cell Biology, Scientific Reports, Nature Communications, Cell Reports and The Journal of Immunology.

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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