Q. Luo
Impact in
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- Tryptophan and brain disorders
Papers in
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- Epigenetics and DNA Methylation 4
- Single-cell and spatial transcriptomics 3
- Co-authors
- Andrew E. Teschendorff (4 shared papers)Jessica Lasky‐Su (2 shared papers)Ryan Smith (2 shared papers)Varun B. Dwaraka (2 shared papers)Qingwen Chen (2 shared papers)Xiaoling Liu (4 shared papers)Shijie Zheng (1 shared paper)Kai‐Da Xu (1 shared paper)
- Journals
- Academic Radiology (3 papers)Quantum Science and Technology (1 paper)Genome Medicine (1 paper)Displays (1 paper)Clinical Epigenetics (1 paper)
- Partner nations
- ChinaUnited KingdomUnited States
In The Last Decade
Q. Luo
20 papers receiving 179 citations
Peers
Comparison fields: 5 of 78
- Aging 9
- Biological Psychiatry 9
- Molecular Biology 89
- Obstetrics and Gynecology 9
- Cancer Research 17
Countries citing papers authored by Q. Luo
This map shows the geographic impact of Q. Luo'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 Q. Luo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Q. Luo more than expected).
Fields of papers citing papers by Q. Luo
This network shows the impact of papers produced by Q. Luo. 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 Q. Luo. The network helps show where Q. Luo may publish in the future.
Co-authors
The 25 scholars most cited alongside Q. Luo, 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 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 36 | |
| 2 | 2024 | 30 | |
| 3 | 2023 | 29 | |
| 4 | 2024 | 24 | |
| 5 | 2022 | 16 | |
| 6 | 2020 | 10 | |
| 7 | 2023 | 9 | |
| 8 | 2024 | 7 | |
| 9 | 2024 | 6 | |
| 10 | 2024 | 6 | |
| 11 | 2022 | 4 | |
| 12 | 2023 | 2 | |
| 13 | 2023 | 2 | |
| 14 | 2023 | 2 | |
| 15 | 2024 | 2 | |
| 16 | 2024 | 2 | |
| 17 | 2025 | 1 | |
| 18 | 2024 | 1 | |
| 19 | 2025 | 1 | |
| 20 | 2025 | 1 |
About Q. Luo
Q. Luo is a scholar working on Artificial Intelligence, Molecular Biology, Astronomy and Astrophysics, Electrical and Electronic Engineering and Immunology, having authored 30 papers that have together received 191 indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (4 papers), Pulsars and Gravitational Waves Research (3 papers), Gamma-ray bursts and supernovae (3 papers), Single-cell and spatial transcriptomics (3 papers), Astrophysics and Cosmic Phenomena (3 papers), Astrophysical Phenomena and Observations (3 papers), Endometrial and Cervical Cancer Treatments (2 papers) and Antenna Design and Analysis (2 papers). The work is most often cited by research in Aging (9 citations), Biological Psychiatry (9 citations), Molecular Biology (89 citations), Obstetrics and Gynecology (9 citations) and Cancer Research (17 citations). Q. Luo has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Andrew E. Teschendorff, Jessica Lasky‐Su, Ryan Smith, Varun B. Dwaraka, Qingwen Chen, Xiaoling Liu, Shijie Zheng, Kai‐Da Xu, Yulu Chen and Sofina Begum. Their work appears in journals such as Academic Radiology, Quantum Science and Technology, Genome Medicine, Displays and Clinical Epigenetics.
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.