Quanjun Yang
Impact in
- Oncology top 10%
- CAR-T cell therapy research
- Molecular Biology top 10%
- Muscle Physiology and Disorders
- CRISPR and Genetic Engineering
- Metabolomics and Mass Spectrometry Studies
Papers in
-
- Muscle Physiology and Disorders 9
- Retinoids in leukemia and cellular processes 3
- Oncology 16
- CAR-T cell therapy research 6
- Co-authors
- Cheng Guo (34 shared papers)Lili Wan (19 shared papers)Yonglong Han (19 shared papers)Xipeng Sun (12 shared papers)Linlin Chen (5 shared papers)Jinlu Huang (10 shared papers)Yan Huo (6 shared papers)Jinmiao Lu (8 shared papers)
- Journals
- Molecular Therapy (3 papers)Archives of Pharmacal Research (2 papers)RSC Advances (2 papers)Phytotherapy Research (2 papers)Advanced Healthcare Materials (2 papers)
- Partner nations
- ChinaUnited StatesFrance
In The Last Decade
Quanjun Yang
70 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 117
- Oncology 364
- Molecular Biology 696
- Geriatrics and Gerontology 31
- Cancer Research 130
- Immunology 174
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 73 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 153 | |
| 2 | 2022 | 150 | |
| 3 | 2017 | 129 | |
| 4 | 2020 | 124 | |
| 5 | 2016 | 49 | |
| 6 | 2017 | 44 | |
| 7 | 2021 | 38 | |
| 8 | 2022 | 38 | |
| 9 | 2019 | 38 | |
| 10 | 2019 | 37 | |
| 11 | 2016 | 36 | |
| 12 | 2020 | 36 | |
| 13 | 2020 | 34 | |
| 14 | 2017 | 33 | |
| 15 | 2016 | 32 | |
| 16 | 2022 | 24 | |
| 17 | 2016 | 24 | |
| 18 | 2022 | 23 | |
| 19 | 2012 | 23 | |
| 20 | 2022 | 22 |
About Quanjun Yang
Quanjun Yang is a scholar working on Molecular Biology, Oncology, Physiology, Immunology and Cardiology and Cardiovascular Medicine, having authored 73 papers that have together received 1.5k indexed citations. Recurring topics across this work include Nutrition and Health in Aging (11 papers), Muscle Physiology and Disorders (9 papers), CAR-T cell therapy research (6 papers), Chemotherapy-induced cardiotoxicity and mitigation (5 papers), Immune Cell Function and Interaction (4 papers), Retinoids in leukemia and cellular processes (3 papers), Flavonoids in Medical Research (3 papers) and Allelopathy and phytotoxic interactions (3 papers). The work is most often cited by research in Oncology (364 citations), Molecular Biology (696 citations), Geriatrics and Gerontology (31 citations), Cancer Research (130 citations) and Immunology (174 citations). Quanjun Yang has collaborated with scholars based in China, United States and France. Frequent co-authors include Cheng Guo, Lili Wan, Yonglong Han, Xipeng Sun, Linlin Chen, Jinlu Huang, Yan Huo, Jinmiao Lu, Hong Zhang and Youssef Errami. Their work appears in journals such as Molecular Therapy, Archives of Pharmacal Research, RSC Advances, Phytotherapy Research and Advanced Healthcare Materials.
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.