Dan Qi
Impact in
- Cancer Research top 10%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Molecular Biology top 10%
- RNA modifications and cancer
Papers in
-
- RNA modifications and cancer 11
- Plant biochemistry and biosynthesis 4
- Oncology 14
- Cancer Cells and Metastasis 5
- Co-authors
- Erxi Wu (35 shared papers)Jason H. Huang (17 shared papers)Songnian Hu (3 shared papers)Zhihong Weng (3 shared papers)Tetsuro Yonesaki (3 shared papers)Yuichi Otsuka (3 shared papers)Shuling Zhang (3 shared papers)Junli Guo (2 shared papers)
- Journals
- Journal of Clinical Medicine (3 papers)International Journal of Biological Sciences (3 papers)PLoS ONE (2 papers)Annals of Oncology (2 papers)iScience (2 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Dan Qi
100 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 142
- Cancer Research 167
- Molecular Biology 722
- Hepatology 75
- Pathology and Forensic Medicine 126
- Cardiology and Cardiovascular Medicine 128
Countries citing papers authored by Dan Qi
This map shows the geographic impact of Dan Qi'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 Dan Qi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dan Qi more than expected).
Fields of papers citing papers by Dan Qi
This network shows the impact of papers produced by Dan Qi. 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 Dan Qi. The network helps show where Dan Qi may publish in the future.
Co-authors
The 25 scholars most cited alongside Dan Qi, 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 105 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 119 | |
| 2 | 2019 | 95 | |
| 3 | 2016 | 76 | |
| 4 | 2019 | 67 | |
| 5 | 2007 | 61 | |
| 6 | 2008 | 56 | |
| 7 | 2021 | 54 | |
| 8 | 2015 | 50 | |
| 9 | 2017 | 49 | |
| 10 | 2017 | 47 | |
| 11 | 2016 | 45 | |
| 12 | 2018 | 45 | |
| 13 | 2018 | 43 | |
| 14 | 2021 | 39 | |
| 15 | 2022 | 37 | |
| 16 | 2019 | 36 | |
| 17 | 2016 | 34 | |
| 18 | 2021 | 32 | |
| 19 | 2022 | 32 | |
| 20 | 2017 | 30 |
About Dan Qi
Dan Qi is a scholar working on Molecular Biology, Oncology, Cancer Research, Plant Science and Pathology and Forensic Medicine, having authored 105 papers that have together received 1.8k indexed citations. Recurring topics across this work include RNA modifications and cancer (11 papers), Cancer Cells and Metastasis (5 papers), Liver physiology and pathology (4 papers), Cancer Genomics and Diagnostics (4 papers), Plant Physiology and Cultivation Studies (4 papers), Atrial Fibrillation Management and Outcomes (4 papers), Plant biochemistry and biosynthesis (4 papers) and Neuroscience and Neuropharmacology Research (3 papers). The work is most often cited by research in Cancer Research (167 citations), Molecular Biology (722 citations), Hepatology (75 citations), Pathology and Forensic Medicine (126 citations) and Cardiology and Cardiovascular Medicine (128 citations). Dan Qi has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Erxi Wu, Jason H. Huang, Songnian Hu, Zhihong Weng, Tetsuro Yonesaki, Yuichi Otsuka, Shuling Zhang, Junli Guo, Shaojiang Zheng and Aijuan Qu. Their work appears in journals such as Journal of Clinical Medicine, International Journal of Biological Sciences, PLoS ONE, Annals of Oncology and iScience.
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.