Kai Qu
Impact in
- Cancer Research top 2%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Hepatology top 5%
Papers in
-
- Circular RNAs in diseases 8
- Surgery 25
- Cholangiocarcinoma and Gallbladder Cancer Studies 7
- Co-authors
- Jingyao Zhang (23 shared papers)Ruixia Cui (12 shared papers)Yingmu Tong (11 shared papers)Runchen Miao (13 shared papers)Yifan Jia (9 shared papers)Yang Feng (5 shared papers)Chang Liu (10 shared papers)Xiaohong Xiang (10 shared papers)
- Journals
- Oxidative Medicine and Cellular Longevity (7 papers)Oncotarget (6 papers)ACS Applied Materials & Interfaces (5 papers)Aging (4 papers)Medicine (4 papers)
- Partner nations
- ChinaUnited StatesThailand
In The Last Decade
Kai Qu
115 papers receiving 3.2k citations
Kai Qu's Hit Papers
Peers
Comparison fields: 5 of 136
- Cancer Research 776
- Hepatology 222
- Molecular Biology 1.7k
- Rehabilitation 147
- Biomaterials 228
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 121 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 249 | |
| 2 | Liquid Bandage Harvests Robust Adhesive, Hemostatic, and Antibacterial Performances as a First‐Aid Tissue Adhesive Hit paper breakdown → | 2020 | 213 |
| 3 | 2017 | 102 | |
| 4 | 2021 | 93 | |
| 5 | 2015 | 91 | |
| 6 | 2022 | 88 | |
| 7 | 2013 | 86 | |
| 8 | 2019 | 86 | |
| 9 | 2015 | 82 | |
| 10 | 2015 | 77 | |
| 11 | 2022 | 77 | |
| 12 | 2022 | 69 | |
| 13 | Ulinastatin protects against acetaminophen-induced liver injury by alleviating ferroptosis via the SIRT1/NRF2/HO-1 pathway. | 2021 | 64 |
| 14 | 2022 | 63 | |
| 15 | 2017 | 58 | |
| 16 | 2017 | 55 | |
| 17 | 2017 | 54 | |
| 18 | 2019 | 54 | |
| 19 | 2018 | 49 | |
| 20 | 2015 | 48 |
About Kai Qu
Kai Qu is a scholar working on Molecular Biology, Surgery, Oncology, Cancer Research and Epidemiology, having authored 121 papers that have together received 3.2k indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (13 papers), Cancer-related molecular mechanisms research (11 papers), Nanoplatforms for cancer theranostics (10 papers), Circular RNAs in diseases (8 papers), Pancreatic and Hepatic Oncology Research (7 papers), MicroRNA in disease regulation (7 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (7 papers) and Nanoparticle-Based Drug Delivery (6 papers). The work is most often cited by research in Cancer Research (776 citations), Hepatology (222 citations), Molecular Biology (1.7k citations), Rehabilitation (147 citations) and Biomaterials (228 citations). Kai Qu has collaborated with scholars based in China, United States and Thailand. Frequent co-authors include Jingyao Zhang, Ruixia Cui, Yingmu Tong, Runchen Miao, Yifan Jia, Yang Feng, Chang Liu, Xiaohong Xiang, Yong Wan and Xinsen Xu. Their work appears in journals such as Oxidative Medicine and Cellular Longevity, Oncotarget, ACS Applied Materials & Interfaces, Aging and Medicine.
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.