Congzhou Wang
- Biomaterials top 5%
- Nanoparticle-Based Drug Delivery 8
- Silk-based biomaterials and applications 4
- Biomedical Engineering top 5%
- Nanoplatforms for cancer theranostics 9
- Biosensors and Analytical Detection 4
- Polymers and Plastics top 10%
- Inorganic Chemistry top 10%
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- Neuroscience and Neuropharmacology Research 10
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- Force Microscopy Techniques and Applications 10
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- Advanced biosensing and bioanalysis techniques 10
- Ion channel regulation and function 6
- Co-authors
- Vamsi K. YadavalliSubhas C. KunduSteve SmithLi NiuSrikanth SingamaneniEvan D. KharaschJeremiah J. MorrisseyRamendra K. Pal
- Journals
- Biochemistry (6 papers)Journal of Colloid and Interface Science (6 papers)ACS Chemical Neuroscience (4 papers)
- Partner nations
- United StatesChinaIndia
In The Last Decade
Congzhou Wang
51 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 108
- Biomaterials 272
- Biomedical Engineering 526
- Polymers and Plastics 154
- Inorganic Chemistry 148
- Cellular and Molecular Neuroscience 179
Countries citing papers authored by Congzhou Wang
This map shows the geographic impact of Congzhou Wang'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 Congzhou Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Congzhou Wang more than expected).
Fields of papers citing papers by Congzhou Wang
This network shows the impact of papers produced by Congzhou Wang. 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 Congzhou Wang. The network helps show where Congzhou Wang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Congzhou Wang, 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 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 3 | |
| 4 | 2024 | 21 | |
| 5 | 2024 | 11 | |
| 6 | 2023 | 4 | |
| 7 | 2023 | 32 | |
| 8 | 2023 | 35 | |
| 9 | 2022 | 33 | |
| 10 | 2022 | 1 | |
| 11 | 2022 | 13 | |
| 12 | 2021 | 33 | |
| 13 | 2021 | 38 | |
| 14 | 2021 | 18 | |
| 15 | 2020 | 8 | |
| 16 | 2019 | 18 | |
| 17 | 2019 | 18 | |
| 18 | 2018 | 34 | |
| 19 | 2017 | 20 | |
| 20 | 2016 | 6 |
About Congzhou Wang
Congzhou Wang is a scholar working on Biomaterials, Cellular and Molecular Neuroscience, Surfaces, Coatings and Films, Molecular Biology and Biomedical Engineering, having authored 53 papers that have together received 1.4k indexed citations. Recurring topics across this work include Force Microscopy Techniques and Applications (10 papers), Neuroscience and Neuropharmacology Research (10 papers), Advanced biosensing and bioanalysis techniques (10 papers), Nanoplatforms for cancer theranostics (9 papers), Nanoparticle-Based Drug Delivery (8 papers), Ion channel regulation and function (6 papers), Silk-based biomaterials and applications (4 papers) and Biosensors and Analytical Detection (4 papers). The work is most often cited by research in Biomaterials (272 citations), Biomedical Engineering (526 citations), Polymers and Plastics (154 citations), Inorganic Chemistry (148 citations) and Cellular and Molecular Neuroscience (179 citations). Congzhou Wang has collaborated with scholars based in United States, China and India. Frequent co-authors include Vamsi K. Yadavalli, Subhas C. Kundu, Steve Smith, Li Niu, Srikanth Singamaneni, Evan D. Kharasch, Jeremiah J. Morrissey, Ramendra K. Pal, Jinyuan Liu and Ahmed A. Farghaly. Their work appears in journals such as Biochemistry, Journal of Colloid and Interface Science, ACS Chemical Neuroscience, ACS Applied Materials & Interfaces and Nano Letters.
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.