Su Yan
Impact in
- Oncology top 5%
- CAR-T cell therapy research
- Cancer Immunotherapy and Biomarkers
- Immunology top 10%
- Immune Cell Function and Interaction
- Immunotherapy and Immune Responses
Papers in
- Oncology 7
- CAR-T cell therapy research 4
- Viral-associated cancers and disorders 1
-
- Protein Degradation and Inhibitors 1
- Cancer therapeutics and mechanisms 1
- Co-authors
- Jingyi Xiang (5 shared papers)Liu C (4 shared papers)Pei Wang (3 shared papers)Dayenne G. van Leeuwen (2 shared papers)Xiaojing Ma (1 shared paper)Mei Song (1 shared paper)Renier J. Brentjens (2 shared papers)Zhuoning Li (1 shared paper)
- Journals
- Nature Biotechnology (2 papers)Cancer Research (1 paper)Neurochemical Research (1 paper)Journal of Biological Chemistry (1 paper)Journal of Biochemical and Molecular Toxicology (1 paper)
- Partner nations
- United StatesChinaSouth Korea
In The Last Decade
Su Yan
12 papers receiving 989 citations
Hit Papers
Peers
Comparison fields: 5 of 66
- Oncology 755
- Immunology 378
- Genetics 196
- Biomedical Engineering 235
- Molecular Biology 349
Countries citing papers authored by Su Yan
This map shows the geographic impact of Su Yan'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 Su Yan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Su Yan more than expected).
Fields of papers citing papers by Su Yan
This network shows the impact of papers produced by Su Yan. 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 Su Yan. The network helps show where Su Yan may publish in the future.
Co-authors
The 25 scholars most cited alongside Su Yan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Targeted delivery of a PD-1-blocking scFv by CAR-T cells enhances anti-tumor efficacy in vivo Hit paper breakdown → | 2018 | 628 |
| 2 | 2015 | 126 | |
| 3 | 2007 | 114 | |
| 4 | 2018 | 34 | |
| 5 | 2021 | 29 | |
| 6 | 2018 | 20 | |
| 7 | 2019 | 18 | |
| 8 | 2018 | 16 | |
| 9 | 2018 | 8 | |
| 10 | 2017 | 6 | |
| 11 | 2020 | 5 | |
| 12 | 2016 | 1 |
About Su Yan
Su Yan is a scholar working on Oncology, Molecular Biology, Pharmacology, Radiology, Nuclear Medicine and Imaging and Pathology and Forensic Medicine, having authored 12 papers that have together received 1.0k indexed citations. Recurring topics across this work include CAR-T cell therapy research (4 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), Ocular Oncology and Treatments (2 papers), Lymphoma Diagnosis and Treatment (2 papers), Protein Degradation and Inhibitors (1 paper), Nanowire Synthesis and Applications (1 paper), Cancer therapeutics and mechanisms (1 paper) and Viral-associated cancers and disorders (1 paper). The work is most often cited by research in Oncology (755 citations), Immunology (378 citations), Genetics (196 citations), Biomedical Engineering (235 citations) and Molecular Biology (349 citations). Su Yan has collaborated with scholars based in United States, China and South Korea. Frequent co-authors include Jingyi Xiang, Liu C, Pei Wang, Dayenne G. van Leeuwen, Xiaojing Ma, Mei Song, Renier J. Brentjens, Zhuoning Li, Sarwish Rafiq and Oladapo Yeku. Their work appears in journals such as Nature Biotechnology, Cancer Research, Neurochemical Research, Journal of Biological Chemistry and Journal of Biochemical and Molecular Toxicology.
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.