Xuan Qu
Impact in
- Cancer Research top 10%
- Cancer, Hypoxia, and Metabolism
- Cancer-related molecular mechanisms research
- Molecular Biology top 10%
- Nuclear Structure and Function
- RNA Research and Splicing
- RNA modifications and cancer
- Ubiquitin and proteasome pathways
- Genomics and Chromatin Dynamics
Papers in
- Co-authors
- Michelle OliveHong SanElizabeth G. NabelStewart J. LevineXianglan YaoBrian C. CapellSanthi K. GaneshDina A. Faddah
- Journals
- American Journal of Respiratory Cell and Molecular Biology (4 papers)The Journal of Immunology (3 papers)Nature Communications (2 papers)Journal of Clinical Investigation (2 papers)International Journal of Biological Sciences (2 papers)
- Partner nations
- United StatesChinaUnited Kingdom
In The Last Decade
Xuan Qu
48 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 100
- Cancer Research 220
- Molecular Biology 931
- Geriatrics and Gerontology 51
- Aging 19
- Immunology 221
Countries citing papers authored by Xuan Qu
This map shows the geographic impact of Xuan Qu'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 Xuan Qu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xuan Qu more than expected).
Fields of papers citing papers by Xuan Qu
This network shows the impact of papers produced by Xuan Qu. 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 Xuan Qu. The network helps show where Xuan Qu may publish in the future.
Co-authors
The 25 scholars most cited alongside Xuan Qu, 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 | 2025 | 1 | |
| 2 | 2025 | 2 | |
| 3 | 2025 | 0 | |
| 4 | 2025 | 3 | |
| 5 | 2025 | 0 | |
| 6 | 2024 | 19 | |
| 7 | 2024 | 27 | |
| 8 | 2024 | 1 | |
| 9 | 2023 | 77 | |
| 10 | 2022 | 9 | |
| 11 | 2021 | 20 | |
| 12 | 2020 | 12 | |
| 13 | 2018 | 56 | |
| 14 | 2016 | 26 | |
| 15 | 2014 | 31 | |
| 16 | 2013 | 19 | |
| 17 | 2013 | 43 | |
| 18 | 2011 | 15 | |
| 19 | 2004 | 44 | |
| 20 | 2004 | 43 |
About Xuan Qu
Xuan Qu is a scholar working on Microbiology, Geriatrics and Gerontology, Cancer Research, Immunology and Immunology and Allergy, having authored 53 papers that have together received 1.4k indexed citations. Recurring topics across this work include RNA modifications and cancer (6 papers), Asthma and respiratory diseases (6 papers), Immune Response and Inflammation (5 papers), MicroRNA in disease regulation (4 papers), Cancer Cells and Metastasis (4 papers), Ubiquitin and proteasome pathways (4 papers), Immune Cell Function and Interaction (4 papers) and Immune cells in cancer (4 papers). The work is most often cited by research in Cancer Research (220 citations), Molecular Biology (931 citations), Geriatrics and Gerontology (51 citations), Aging (19 citations) and Immunology (221 citations). Xuan Qu has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Michelle Olive, Hong San, Elizabeth G. Nabel, Stewart J. Levine, Xianglan Yao, Brian C. Capell, Santhi K. Ganesh, Dina A. Faddah, Renu Virmani and Francis S. Collins. Their work appears in journals such as American Journal of Respiratory Cell and Molecular Biology, The Journal of Immunology, Nature Communications, Journal of Clinical Investigation and International Journal of Biological Sciences.
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.