Kerong Chen
Impact in
- Biomaterials top 5%
- Nanoparticle-Based Drug Delivery
- Biomedical Engineering top 10%
- Nanoplatforms for cancer theranostics
- Graphene and Nanomaterials Applications
Papers in
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- Nanoparticle-Based Drug Delivery 6
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- Nanoplatforms for cancer theranostics 14
- Co-authors
- Xinghai Ning (23 shared papers)Yurui Xu (19 shared papers)Anwei Zhou (17 shared papers)Xinyuan Zhou (9 shared papers)Wei Wang (7 shared papers)Yujie Su (7 shared papers)Yuhang Liu (1 shared paper)Fangrong Zhang (4 shared papers)
- Journals
- ACS Applied Materials & Interfaces (5 papers)Nano Letters (4 papers)Advanced Materials (4 papers)Small (3 papers)ACS Nano (3 papers)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Kerong Chen
45 papers receiving 1.1k citations
Kerong Chen's Hit Papers
Peers
Comparison fields: 5 of 98
- Biomaterials 210
- Biomedical Engineering 451
- Pharmaceutical Science 54
- Cancer Research 96
- Molecular Biology 293
Countries citing papers authored by Kerong Chen
This map shows the geographic impact of Kerong 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 Kerong Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kerong Chen more than expected).
Fields of papers citing papers by Kerong Chen
This network shows the impact of papers produced by Kerong 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 Kerong Chen. The network helps show where Kerong Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Kerong 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 47 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 130 | |
| 2 | Cellular Trojan Horse initiates bimetallic Fe-Cu MOF-mediated synergistic cuproptosis and ferroptosis against malignancies Hit paper breakdown → | 2024 | 87 |
| 3 | 2022 | 65 | |
| 4 | 2017 | 61 | |
| 5 | 2018 | 59 | |
| 6 | 2017 | 51 | |
| 7 | 1996 | 46 | |
| 8 | 2023 | 44 | |
| 9 | 2016 | 44 | |
| 10 | 2018 | 43 | |
| 11 | 2016 | 41 | |
| 12 | 2023 | 39 | |
| 13 | 2019 | 37 | |
| 14 | 2018 | 34 | |
| 15 | 2022 | 24 | |
| 16 | 2023 | 23 | |
| 17 | 2020 | 21 | |
| 18 | 2022 | 21 | |
| 19 | 2024 | 21 | |
| 20 | 2020 | 18 |
About Kerong Chen
Kerong Chen is a scholar working on Biomaterials, Biomedical Engineering, Geophysics, Cancer Research and Immunology, having authored 47 papers that have together received 1.1k indexed citations. Recurring topics across this work include Nanoplatforms for cancer theranostics (14 papers), Nanoparticle-Based Drug Delivery (6 papers), RNA Interference and Gene Delivery (5 papers), Immune cells in cancer (4 papers), Geological and Geochemical Analysis (4 papers), Advanced biosensing and bioanalysis techniques (3 papers), Advanced Nanomaterials in Catalysis (3 papers) and Geochemistry and Geologic Mapping (3 papers). The work is most often cited by research in Biomaterials (210 citations), Biomedical Engineering (451 citations), Pharmaceutical Science (54 citations), Cancer Research (96 citations) and Molecular Biology (293 citations). Kerong Chen has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Xinghai Ning, Yurui Xu, Anwei Zhou, Xinyuan Zhou, Wei Wang, Yujie Su, Yuhang Liu, Fangrong Zhang, Xiangting Xu and Jianping Zhou. Their work appears in journals such as ACS Applied Materials & Interfaces, Nano Letters, Advanced Materials, Small and ACS Nano.
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.