Pu Chun Ke
Impact in
- Biomaterials top 0.2%
- Nanoparticle-Based Drug Delivery
- Supramolecular Self-Assembly in Materials
- Pollution top 0.5%
- Microplastics and Plastic Pollution
Papers in
- Biomaterials 58
- Nanoparticle-Based Drug Delivery 35
- Supramolecular Self-Assembly in Materials 16
- Physiology 54
- Alzheimer's disease research and treatments 53
- Co-authors
- Sijie LinFeng DingThomas P. DavisAleksandr KäkinenPriyanka BhattacharyaApparao M. RaoJames P. TurnerRui Qiao
- Journals
- Small (14 papers)Applied Physics Letters (9 papers)Nanoscale (8 papers)Physical Chemistry Chemical Physics (8 papers)The Journal of Physical Chemistry C (7 papers)
- Partner nations
- United StatesAustraliaChina
In The Last Decade
Pu Chun Ke
182 papers receiving 10.4k citations
Hit Papers
Peers
Comparison fields: 5 of 159
- Biomaterials 2.7k
- Pollution 1.4k
- Materials Chemistry 4.5k
- Physiology 1.9k
- Biomedical Engineering 3.1k
Countries citing papers authored by Pu Chun Ke
This map shows the geographic impact of Pu Chun Ke'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 Pu Chun Ke with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pu Chun Ke more than expected).
Fields of papers citing papers by Pu Chun Ke
This network shows the impact of papers produced by Pu Chun Ke. 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 Pu Chun Ke. The network helps show where Pu Chun Ke may publish in the future.
Co-authors
The 25 scholars most cited alongside Pu Chun Ke, 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 | 4 | |
| 2 | 2024 | 4 | |
| 3 | 2023 | 0 | |
| 4 | 2021 | 44 | |
| 5 | 2021 | 87 | |
| 6 | 2020 | 31 | |
| 7 | 2020 | 35 | |
| 8 | 2020 | 14 | |
| 9 | 2019 | 39 | |
| 10 | 2019 | 14 | |
| 11 | 2018 | 20 | |
| 12 | 2017 | 33 | |
| 13 | 2017 | 38 | |
| 14 | A Decade of the Protein Corona Hit paper breakdown → | 2017 | 541 |
| 15 | 2017 | 52 | |
| 16 | 2017 | 22 | |
| 17 | 2017 | 34 | |
| 18 | 2017 | 14 | |
| 19 | 2012 | 148 | |
| 20 | 2008 | 38 |
About Pu Chun Ke
Pu Chun Ke is a scholar working on Biomaterials, Physiology, Materials Chemistry, Pollution and Biomedical Engineering, having authored 186 papers that have together received 10.5k indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (53 papers), Nanoparticle-Based Drug Delivery (35 papers), Nanoparticles: synthesis and applications (34 papers), Graphene and Nanomaterials Applications (29 papers), Carbon Nanotubes in Composites (17 papers), Supramolecular Self-Assembly in Materials (16 papers), Microplastics and Plastic Pollution (15 papers) and Dendrimers and Hyperbranched Polymers (14 papers). The work is most often cited by research in Biomaterials (2.7k citations), Pollution (1.4k citations), Materials Chemistry (4.5k citations), Physiology (1.9k citations) and Biomedical Engineering (3.1k citations). Pu Chun Ke has collaborated with scholars based in United States, Australia and China. Frequent co-authors include Sijie Lin, Feng Ding, Thomas P. Davis, Aleksandr Käkinen, Priyanka Bhattacharya, Apparao M. Rao, James P. Turner, Thomas P. Davis, Rui Qiao and Ibrahim Javed. Their work appears in journals such as Small, Applied Physics Letters, Nanoscale, Physical Chemistry Chemical Physics and The Journal of Physical Chemistry C.
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.