Kai Qu
Impact in
- Cancer Research top 2%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Hepatology top 5%
- Hepatocellular Carcinoma Treatment and Prognosis
Papers in
-
- RNA modifications and cancer 7
- Circular RNAs in diseases 5
- FOXO transcription factor regulation 4
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- Cancer-related molecular mechanisms research 9
- MicroRNA in disease regulation 8
- Cancer, Lipids, and Metabolism 5
- Co-authors
- Runchen Miao (16 shared papers)Jingyao Zhang (20 shared papers)Chang Liu (12 shared papers)Xinsen Xu (16 shared papers)Qing Pang (13 shared papers)Xing Zhang (4 shared papers)Ting Lin (8 shared papers)Jingxian Gu (8 shared papers)
- Journals
- Oncotarget (7 papers)Frontiers of Medicine (6 papers)Medicine (4 papers)World Journal of Gastroenterology (4 papers)OncoTargets and Therapy (3 papers)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Kai Qu
85 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 124
- Cancer Research 569
- Hepatology 221
- Molecular Biology 808
- Oncology 234
- Pulmonary and Respiratory Medicine 159
Countries citing papers authored by Kai Qu
This map shows the geographic impact of Kai 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 Kai Qu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kai Qu more than expected).
Fields of papers citing papers by Kai Qu
This network shows the impact of papers produced by Kai 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 Kai Qu. The network helps show where Kai Qu may publish in the future.
Co-authors
The 25 scholars most cited alongside Kai 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
Showing the 20 most-cited of 88 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 94 | |
| 2 | 2019 | 94 | |
| 3 | 2017 | 91 | |
| 4 | 2020 | 83 | |
| 5 | 2016 | 65 | |
| 6 | 2015 | 65 | |
| 7 | 2012 | 61 | |
| 8 | 2016 | 59 | |
| 9 | 2022 | 56 | |
| 10 | 2016 | 52 | |
| 11 | 2012 | 46 | |
| 12 | 2018 | 44 | |
| 13 | 2015 | 43 | |
| 14 | 2018 | 43 | |
| 15 | 2016 | 43 | |
| 16 | 2018 | 40 | |
| 17 | 2014 | 38 | |
| 18 | 2017 | 36 | |
| 19 | 2014 | 35 | |
| 20 | 2018 | 35 |
About Kai Qu
Kai Qu is a scholar working on Molecular Biology, Cancer Research, Hepatology, Oncology and Surgery, having authored 88 papers that have together received 1.9k indexed citations. Recurring topics across this work include Hepatocellular Carcinoma Treatment and Prognosis (10 papers), Cancer-related molecular mechanisms research (9 papers), MicroRNA in disease regulation (8 papers), RNA modifications and cancer (7 papers), Cancer, Lipids, and Metabolism (5 papers), Circular RNAs in diseases (5 papers), Inflammatory Biomarkers in Disease Prognosis (4 papers) and FOXO transcription factor regulation (4 papers). The work is most often cited by research in Cancer Research (569 citations), Hepatology (221 citations), Molecular Biology (808 citations), Oncology (234 citations) and Pulmonary and Respiratory Medicine (159 citations). Kai Qu has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Runchen Miao, Jingyao Zhang, Chang Liu, Xinsen Xu, Qing Pang, Xing Zhang, Ting Lin, Jingxian Gu, Jichao Wei and Fandi Meng. Their work appears in journals such as Oncotarget, Frontiers of Medicine, Medicine, World Journal of Gastroenterology and OncoTargets and Therapy.
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.