Kai Zhu
- Cancer Research top 10%
- Cancer-related molecular mechanisms research 12
- MicroRNA in disease regulation 10
-
- Circular RNAs in diseases 10
- RNA modifications and cancer 3
-
- Radiomics and Machine Learning in Medical Imaging 2
- MRI in cancer diagnosis 2
-
- Testicular diseases and treatments 2
-
- AI in cancer detection 2
- Co-authors
- Jingyi SongFengxia LiuXiaolin WuMaohua LiYan WangXiujuan JiaChao WangXuexiao Ma
- Journals
- Journal of Clinical Oncology (1 paper)SHILAP Revista de lepidopterología (1 paper)Biochemical and Biophysical Research Communications (1 paper)
In The Last Decade
Kai Zhu
26 papers receiving 539 citations
Peers
Comparison fields: 5 of 90
- Cancer Research 308
- Molecular Biology 332
- Biomaterials 52
- Urology 15
- Biomedical Engineering 74
Countries citing papers authored by Kai Zhu
This map shows the geographic impact of Kai Zhu'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 Zhu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kai Zhu more than expected).
Fields of papers citing papers by Kai Zhu
This network shows the impact of papers produced by Kai Zhu. 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 Zhu. The network helps show where Kai Zhu may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Kai Zhu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2024 | 1 | |
| 3 | 2023 | 5 | |
| 4 | Functionalized Au@Cu-Sb-S Nanoparticles for Spectral CT/Photoacoustic Imaging-Guided Synergetic Photo-Radiotherapy in Breast Cancer | 2022 | 9 |
| 5 | 2022 | 9 | |
| 6 | 2022 | 0 | |
| 7 | 2021 | 7 | |
| 8 | 2021 | 10 | |
| 9 | 2021 | 12 | |
| 10 | 2021 | 7 | |
| 11 | 2020 | 21 | |
| 12 | 2020 | 30 | |
| 13 | LncRNA LINC00265/miR-485-5p/IRF2-mediated autophagy suppresses apoptosis in acute myeloid leukemia cells. | 2020 | 23 |
| 14 | 2019 | 4 | |
| 15 | 2019 | 11 | |
| 16 | 2018 | 1 | |
| 17 | 2018 | 18 | |
| 18 | 2017 | 133 | |
| 19 | 2017 | 23 | |
| 20 | 2012 | 16 |
About Kai Zhu
Kai Zhu is a scholar working on Cancer Research, Geriatrics and Gerontology and Molecular Biology, having authored 29 papers that have together received 541 indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (12 papers), MicroRNA in disease regulation (10 papers), Circular RNAs in diseases (10 papers), RNA modifications and cancer (3 papers), Radiomics and Machine Learning in Medical Imaging (2 papers), MRI in cancer diagnosis (2 papers), Testicular diseases and treatments (2 papers) and AI in cancer detection (2 papers). The work is most often cited by research in Cancer Research (308 citations), Molecular Biology (332 citations) and Biomaterials (52 citations). Kai Zhu has collaborated with scholars based in China, Australia and Israel. Frequent co-authors include Jingyi Song, Fengxia Liu, Xiaolin Wu, Maohua Li, Yan Wang, Xiujuan Jia, Chao Wang, Xuexiao Ma, Nina Jiang and Ai‐Zheng Chen. Their work appears in journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Biochemical and Biophysical Research Communications.
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.