Chun Chan
Impact in
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- Lipid Membrane Structure and Behavior
- Advanced biosensing and bioanalysis techniques
- RNA Interference and Gene Delivery
- RNA and protein synthesis mechanisms
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- SARS-CoV-2 and COVID-19 Research
Papers in
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- Protein Structure and Dynamics 4
- Lipid Membrane Structure and Behavior 4
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- Cellular transport and secretion 4
- Cellular Mechanics and Interactions 3
- Co-authors
- Xiaolin Cheng (9 shared papers)Jun Fan (11 shared papers)Zhen Li (5 shared papers)Chunyi Zhi (3 shared papers)Jiale Ma (4 shared papers)Yonghui Zhang (3 shared papers)Yizhou Dong (2 shared papers)Fei Sun (4 shared papers)
- Journals
- The Journal of Physical Chemistry B (3 papers)Proceedings of the National Academy of Sciences (3 papers)International Journal of Biological Macromolecules (2 papers)ACS Nano (2 papers)Biomolecules (2 papers)
- Partner nations
- United StatesChinaHong Kong
In The Last Decade
Chun Chan
29 papers receiving 371 citations
Peers
Comparison fields: 5 of 86
- Molecular Biology 196
- Infectious Diseases 44
- Biomedical Engineering 102
- Biomaterials 28
- Materials Chemistry 87
Countries citing papers authored by Chun Chan
This map shows the geographic impact of Chun Chan'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 Chun Chan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chun Chan more than expected).
Fields of papers citing papers by Chun Chan
This network shows the impact of papers produced by Chun Chan. 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 Chun Chan. The network helps show where Chun Chan may publish in the future.
Co-authors
The 25 scholars most cited alongside Chun Chan, 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 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 47 | |
| 2 | 2019 | 44 | |
| 3 | 2021 | 41 | |
| 4 | 2023 | 38 | |
| 5 | 2020 | 30 | |
| 6 | 2019 | 21 | |
| 7 | 2017 | 19 | |
| 8 | 2016 | 14 | |
| 9 | 2017 | 14 | |
| 10 | 2023 | 11 | |
| 11 | 2023 | 10 | |
| 12 | 2020 | 9 | |
| 13 | 2022 | 9 | |
| 14 | 2021 | 8 | |
| 15 | 2020 | 7 | |
| 16 | 2018 | 6 | |
| 17 | 2018 | 6 | |
| 18 | 2018 | 6 | |
| 19 | 2023 | 6 | |
| 20 | 2019 | 5 |
About Chun Chan
Chun Chan is a scholar working on Molecular Biology, Cell Biology, Radiology, Nuclear Medicine and Imaging, Genetics and Biomedical Engineering, having authored 32 papers that have together received 373 indexed citations. Recurring topics across this work include Graphene and Nanomaterials Applications (5 papers), Protein Structure and Dynamics (4 papers), Monoclonal and Polyclonal Antibodies Research (4 papers), Lipid Membrane Structure and Behavior (4 papers), Cellular transport and secretion (4 papers), Graphene research and applications (3 papers), Cellular Mechanics and Interactions (3 papers) and SARS-CoV-2 and COVID-19 Research (3 papers). The work is most often cited by research in Molecular Biology (196 citations), Infectious Diseases (44 citations), Biomedical Engineering (102 citations), Biomaterials (28 citations) and Materials Chemistry (87 citations). Chun Chan has collaborated with scholars based in United States, China and Hong Kong. Frequent co-authors include Xiaolin Cheng, Jun Fan, Zhen Li, Chunyi Zhi, Jiale Ma, Yonghui Zhang, Yizhou Dong, Fei Sun, Yonghui Zhang and Shi Du. Their work appears in journals such as The Journal of Physical Chemistry B, Proceedings of the National Academy of Sciences, International Journal of Biological Macromolecules, ACS Nano and Biomolecules.
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.