Quanjun Yang
Impact in
- Oncology top 10%
- CAR-T cell therapy research
- Cancer Immunotherapy and Biomarkers
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- Muscle Physiology and Disorders
- CRISPR and Genetic Engineering
- Metabolomics and Mass Spectrometry Studies
Papers in
- Oncology 9
- CAR-T cell therapy research 6
-
- Muscle Physiology and Disorders 11
- Co-authors
- Cheng Guo (40 shared papers)Xipeng Sun (13 shared papers)Yonglong Han (19 shared papers)Linlin Chen (6 shared papers)Jinlu Huang (11 shared papers)Yan Huo (6 shared papers)Hong Zhang (3 shared papers)Jinmiao Lu (8 shared papers)
- Journals
- Phytotherapy Research (3 papers)Molecular Therapy (3 papers)Scientific Reports (2 papers)Frontiers in Pharmacology (2 papers)Archives of Pharmacal Research (2 papers)
- Partner nations
- ChinaUnited StatesMacao
In The Last Decade
Quanjun Yang
71 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 69
- Oncology 210
- Molecular Biology 312
- Physiology 121
- Pharmacology 38
- Complementary and alternative medicine 31
Countries citing papers authored by Quanjun Yang
This map shows the geographic impact of Quanjun Yang'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 Quanjun Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Quanjun Yang more than expected).
Fields of papers citing papers by Quanjun Yang
This network shows the impact of papers produced by Quanjun Yang. 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 Quanjun Yang. The network helps show where Quanjun Yang may publish in the future.
Co-authors
The 25 scholars most cited alongside Quanjun Yang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 78 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 166 | |
| 2 | 2019 | 163 | |
| 3 | 2017 | 139 | |
| 4 | 2020 | 137 | |
| 5 | 2016 | 51 | |
| 6 | 2017 | 44 | |
| 7 | 2021 | 43 | |
| 8 | 2020 | 39 | |
| 9 | 2022 | 39 | |
| 10 | 2019 | 38 | |
| 11 | 2016 | 37 | |
| 12 | 2020 | 36 | |
| 13 | 2016 | 33 | |
| 14 | 2017 | 32 | |
| 15 | 2014 | 26 | |
| 16 | 2022 | 26 | |
| 17 | 2022 | 25 | |
| 18 | 2023 | 25 | |
| 19 | 2012 | 24 | |
| 20 | 2016 | 24 |
About Quanjun Yang
Quanjun Yang is a scholar working on Oncology, Molecular Biology, Cardiology and Cardiovascular Medicine, Hepatology and Biomaterials, having authored 78 papers that have together received 1.6k indexed citations. Recurring topics across this work include Muscle Physiology and Disorders (11 papers), Chemotherapy-induced cardiotoxicity and mitigation (6 papers), CAR-T cell therapy research (6 papers), Seed Germination and Physiology (3 papers), Alzheimer's disease research and treatments (2 papers), Sarcoma Diagnosis and Treatment (2 papers), Electrospun Nanofibers in Biomedical Applications (2 papers) and Curcumin's Biomedical Applications (2 papers). The work is most often cited by research in Oncology (210 citations), Molecular Biology (312 citations), Physiology (121 citations), Pharmacology (38 citations) and Complementary and alternative medicine (31 citations). Quanjun Yang has collaborated with scholars based in China, United States and Macao. Frequent co-authors include Cheng Guo, Xipeng Sun, Yonglong Han, Linlin Chen, Jinlu Huang, Yan Huo, Hong Zhang, Jinmiao Lu, Youssef Errami and Jonathan Joon-Young Park. Their work appears in journals such as Phytotherapy Research, Molecular Therapy, Scientific Reports, Frontiers in Pharmacology and Archives of Pharmacal Research.
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.