Wei Wang
- Molecular Medicine top 0.1%
- Hydrogels: synthesis, properties, applications 25
- Molecular Biology top 0.1%
- Protein Structure and Dynamics 102
- RNA and protein synthesis mechanisms 31
- Biomaterials top 0.1%
- Supramolecular Self-Assembly in Materials 45
- Materials Chemistry top 0.5%
- Enzyme Structure and Function 59
- Computational Theory and Mathematics top 0.1%
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- Theoretical and Computational Physics 36
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- Force Microscopy Techniques and Applications 35
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- Polymer Surface Interaction Studies 27
- Co-authors
- Robert D. SkeelJ. C. PhillipsLaxmikant V. KaléEmad TajkhorshidElizabeth VillaKlaus SchultenRosemary BraunChristophe Chipot
- Journals
- Nature Communications (14 papers)Chinese Physics Letters (14 papers)The Journal of Physical Chemistry B (13 papers)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Wei Wang
450 papers receiving 32.6k citations
Hit Papers
Peers
Comparison fields: 5 of 194
- Molecular Medicine 1.6k
- Molecular Biology 16.8k
- Biomaterials 3.0k
- Materials Chemistry 6.7k
- Computational Theory and Mathematics 2.2k
Countries citing papers authored by Wei Wang
This map shows the geographic impact of Wei 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 Wei Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wei Wang more than expected).
Fields of papers citing papers by Wei Wang
This network shows the impact of papers produced by Wei 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 Wei Wang. The network helps show where Wei Wang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Wei 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 | 1 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 4 | |
| 5 | 2024 | 0 | |
| 6 | 2024 | 1 | |
| 7 | 2024 | 6 | |
| 8 | 2023 | 19 | |
| 9 | 2023 | 50 | |
| 10 | 2023 | 15 | |
| 11 | 2023 | 2 | |
| 12 | 2023 | 5 | |
| 13 | 2022 | 8 | |
| 14 | 2022 | 37 | |
| 15 | 2022 | 46 | |
| 16 | 2022 | 6 | |
| 17 | 2015 | 2 | |
| 18 | 2015 | 7 | |
| 19 | 2011 | 7 | |
| 20 | 2008 | 66 |
About Wei Wang
Wei Wang is a scholar working on Molecular Medicine, Biomaterials, Surfaces, Coatings and Films, Condensed Matter Physics and Molecular Biology, having authored 476 papers that have together received 33.1k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (102 papers), Enzyme Structure and Function (59 papers), Supramolecular Self-Assembly in Materials (45 papers), Theoretical and Computational Physics (36 papers), Force Microscopy Techniques and Applications (35 papers), RNA and protein synthesis mechanisms (31 papers), Polymer Surface Interaction Studies (27 papers) and Hydrogels: synthesis, properties, applications (25 papers). The work is most often cited by research in Molecular Medicine (1.6k citations), Molecular Biology (16.8k citations), Biomaterials (3.0k citations), Materials Chemistry (6.7k citations) and Computational Theory and Mathematics (2.2k citations). Wei Wang has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Robert D. Skeel, J. C. Phillips, Laxmikant V. Kalé, Emad Tajkhorshid, Elizabeth Villa, Klaus Schulten, Rosemary Braun, Christophe Chipot, James C. Gumbart and Junmei Wang. Their work appears in journals such as Nature Communications, Chinese Physics Letters, The Journal of Physical Chemistry B, Proteins Structure Function and Bioinformatics and Journal of the American Chemical Society.
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.