Kai Ai
Impact in
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
Papers in
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- Advanced Neuroimaging Techniques and Applications 10
- MRI in cancer diagnosis 3
-
- Functional Brain Connectivity Studies 11
- Co-authors
- Lei Zhang (3 shared papers)Xuan Zhu (5 shared papers)Shuiqing Wu (6 shared papers)Yinhuai Wang (10 shared papers)Xiaokun Zhao (5 shared papers)Haiqing He (4 shared papers)Ye Kang (4 shared papers)Ran Xu (4 shared papers)
- Journals
- Frontiers in Neuroscience (5 papers)Magnetic Resonance Imaging (3 papers)Frontiers in Endocrinology (3 papers)Cell Death and Disease (3 papers)Scientific Reports (2 papers)
- Partner nations
- ChinaFinlandUnited States
In The Last Decade
Kai Ai
52 papers receiving 653 citations
Peers
Comparison fields: 5 of 76
- Cancer Research 227
- Nephrology 34
- Neurology 38
- Cognitive Neuroscience 71
- Molecular Biology 246
Countries citing papers authored by Kai Ai
This map shows the geographic impact of Kai Ai'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 Ai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kai Ai more than expected).
Fields of papers citing papers by Kai Ai
This network shows the impact of papers produced by Kai Ai. 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 Ai. The network helps show where Kai Ai may publish in the future.
Co-authors
The 25 scholars most cited alongside Kai Ai, 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 64 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 75 | |
| 2 | 2020 | 61 | |
| 3 | 2022 | 56 | |
| 4 | 2021 | 39 | |
| 5 | 2019 | 30 | |
| 6 | 2022 | 27 | |
| 7 | 2018 | 26 | |
| 8 | 2022 | 25 | |
| 9 | 2021 | 22 | |
| 10 | 2021 | 21 | |
| 11 | 2020 | 18 | |
| 12 | 2023 | 16 | |
| 13 | 2022 | 16 | |
| 14 | 2023 | 15 | |
| 15 | 2022 | 15 | |
| 16 | 2021 | 14 | |
| 17 | 2024 | 13 | |
| 18 | 2021 | 12 | |
| 19 | 2021 | 12 | |
| 20 | 2022 | 10 |
About Kai Ai
Kai Ai is a scholar working on Radiology, Nuclear Medicine and Imaging, Cognitive Neuroscience, Molecular Biology, Pulmonary and Respiratory Medicine and Cancer Research, having authored 64 papers that have together received 655 indexed citations. Recurring topics across this work include Functional Brain Connectivity Studies (11 papers), Advanced Neuroimaging Techniques and Applications (10 papers), Circular RNAs in diseases (5 papers), Dementia and Cognitive Impairment Research (5 papers), MicroRNA in disease regulation (5 papers), Chronic Kidney Disease and Diabetes (3 papers), MRI in cancer diagnosis (3 papers) and Geoscience and Mining Technology (3 papers). The work is most often cited by research in Cancer Research (227 citations), Nephrology (34 citations), Neurology (38 citations), Cognitive Neuroscience (71 citations) and Molecular Biology (246 citations). Kai Ai has collaborated with scholars based in China, Finland and United States. Frequent co-authors include Lei Zhang, Xuan Zhu, Shuiqing Wu, Yinhuai Wang, Xiaokun Zhao, Haiqing He, Ye Kang, Ran Xu, Lei Yi and Ran Xu. Their work appears in journals such as Frontiers in Neuroscience, Magnetic Resonance Imaging, Frontiers in Endocrinology, Cell Death and Disease and Scientific Reports.
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.