Kai Hu
Impact in
- Condensed Matter Physics top 5%
- Micro and Nano Robotics
- Inorganic Chemistry top 10%
- Metal-Catalyzed Oxygenation Mechanisms
Papers in
-
- RNA modifications and cancer 4
- Ubiquitin and proteasome pathways 2
- Co-authors
- Jiawen Li (7 shared papers)Yanlei Hu (8 shared papers)Dong Wu (6 shared papers)Jiaru Chu (6 shared papers)Li Zhang (4 shared papers)Dongdong Jin (4 shared papers)Deng Pan (4 shared papers)Wulin Zhu (3 shared papers)
- Journals
- Nature Communications (2 papers)Journal of Synchrotron Radiation (2 papers)Optics Letters (2 papers)Advanced Functional Materials (2 papers)Photonics (2 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Kai Hu
53 papers receiving 1.2k citations
Kai Hu's Hit Papers
Peers
Comparison fields: 5 of 118
- Condensed Matter Physics 179
- Inorganic Chemistry 143
- Aging 17
- Biomedical Engineering 374
- Cancer Research 107
Countries citing papers authored by Kai Hu
This map shows the geographic impact of Kai Hu'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 Hu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kai Hu more than expected).
Fields of papers citing papers by Kai Hu
This network shows the impact of papers produced by Kai Hu. 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 Hu. The network helps show where Kai Hu may publish in the future.
Co-authors
The 25 scholars most cited alongside Kai Hu, 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 60 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Environmentally Adaptive Shape-Morphing Microrobots for Localized Cancer Cell Treatment Hit paper breakdown → | 2021 | 186 |
| 2 | 2019 | 184 | |
| 3 | 2017 | 113 | |
| 4 | 2014 | 75 | |
| 5 | 2016 | 67 | |
| 6 | 2017 | 53 | |
| 7 | 2021 | 50 | |
| 8 | 2008 | 50 | |
| 9 | 2016 | 49 | |
| 10 | 2018 | 43 | |
| 11 | 2019 | 39 | |
| 12 | 2021 | 31 | |
| 13 | 2020 | 28 | |
| 14 | 2018 | 28 | |
| 15 | 2022 | 22 | |
| 16 | 2019 | 21 | |
| 17 | 2015 | 20 | |
| 18 | Isolation and Screening of Endophytic Fungi Synthesizing Taxol from Taxus chinensis var.mairei | 2006 | 18 |
| 19 | 2019 | 13 | |
| 20 | 2018 | 12 |
About Kai Hu
Kai Hu is a scholar working on Molecular Biology, Biomedical Engineering, Oncology, Mechanical Engineering and Cancer Research, having authored 60 papers that have together received 1.2k indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (4 papers), RNA modifications and cancer (4 papers), Advanced Materials and Mechanics (4 papers), Advanced X-ray Imaging Techniques (4 papers), Metal-Catalyzed Oxygenation Mechanisms (4 papers), Multiple Myeloma Research and Treatments (3 papers), Micro and Nano Robotics (3 papers) and Ubiquitin and proteasome pathways (2 papers). The work is most often cited by research in Condensed Matter Physics (179 citations), Inorganic Chemistry (143 citations), Aging (17 citations), Biomedical Engineering (374 citations) and Cancer Research (107 citations). Kai Hu has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Jiawen Li, Yanlei Hu, Dong Wu, Jiaru Chu, Li Zhang, Dongdong Jin, Deng Pan, Wulin Zhu, Amie K. Boal and J. Martin Bollinger. Their work appears in journals such as Nature Communications, Journal of Synchrotron Radiation, Optics Letters, Advanced Functional Materials and Photonics.
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.