Kaige Chen
Impact in
- Biomaterials top 10%
- Nanoparticle-Based Drug Delivery
- Immunology top 10%
- Immune cells in cancer
- Immunotherapy and Immune Responses
Papers in
-
- Advanced biosensing and bioanalysis techniques 4
- RNA and protein synthesis mechanisms 3
- Extracellular vesicles in disease 3
- Oncology 10
- Co-authors
- Jun Wang (8 shared papers)Song Shen (7 shared papers)Xianzhu Yang (4 shared papers)Yucai Wang (5 shared papers)Ying‐Li Luo (3 shared papers)Jin‐Zhi Du (2 shared papers)Zhiting Cao (3 shared papers)Hongjun Li (1 shared paper)
- Journals
- Nature Communications (3 papers)Nano Today (2 papers)Nano Letters (2 papers)Future Oncology (2 papers)Water Air & Soil Pollution (1 paper)
- Partner nations
- ChinaUnited StatesSouth Korea
In The Last Decade
Kaige Chen
48 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 120
- Biomaterials 179
- Immunology 282
- Biomedical Engineering 366
- Oncology 175
- Molecular Biology 418
Countries citing papers authored by Kaige Chen
This map shows the geographic impact of Kaige Chen'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 Kaige Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kaige Chen more than expected).
Fields of papers citing papers by Kaige Chen
This network shows the impact of papers produced by Kaige Chen. 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 Kaige Chen. The network helps show where Kaige Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Kaige Chen, 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 53 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 177 | |
| 2 | 2018 | 169 | |
| 3 | 2015 | 103 | |
| 4 | 2020 | 89 | |
| 5 | 2021 | 88 | |
| 6 | 2018 | 77 | |
| 7 | 2015 | 69 | |
| 8 | 2023 | 45 | |
| 9 | 2022 | 44 | |
| 10 | 2022 | 44 | |
| 11 | 2015 | 41 | |
| 12 | 2020 | 35 | |
| 13 | 2023 | 15 | |
| 14 | 2017 | 13 | |
| 15 | 2018 | 12 | |
| 16 | 2017 | 12 | |
| 17 | 2024 | 11 | |
| 18 | 2021 | 10 | |
| 19 | 2024 | 9 | |
| 20 | 2021 | 8 |
About Kaige Chen
Kaige Chen is a scholar working on Molecular Biology, Oncology, Radiology, Nuclear Medicine and Imaging, Immunology and Biomedical Engineering, having authored 53 papers that have together received 1.2k indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (5 papers), Advanced biosensing and bioanalysis techniques (4 papers), Immunotherapy and Immune Responses (4 papers), RNA and protein synthesis mechanisms (3 papers), Nanoplatforms for cancer theranostics (3 papers), Immune cells in cancer (3 papers), Extracellular vesicles in disease (3 papers) and Hepatocellular Carcinoma Treatment and Prognosis (2 papers). The work is most often cited by research in Biomaterials (179 citations), Immunology (282 citations), Biomedical Engineering (366 citations), Oncology (175 citations) and Molecular Biology (418 citations). Kaige Chen has collaborated with scholars based in China, United States and South Korea. Frequent co-authors include Jun Wang, Song Shen, Xianzhu Yang, Yucai Wang, Ying‐Li Luo, Jin‐Zhi Du, Zhiting Cao, Hongjun Li, Zhe‐Xiong Lian and Cong‐Fei Xu. Their work appears in journals such as Nature Communications, Nano Today, Nano Letters, Future Oncology and Water Air & Soil Pollution.
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.