Daniela A. Wilson
Impact in
- Condensed Matter Physics top 0.2%
- Micro and Nano Robotics
- Biomaterials top 0.2%
- Supramolecular Self-Assembly in Materials
Papers in
-
- Micro and Nano Robotics 69
- Biomaterials 41
- Supramolecular Self-Assembly in Materials 29
- Co-authors
- Jan C. M. van HestFei PengYingfeng TuVirgil PercecBrad M. RosenRoeland J. M. NolteMihai PetercaChristopher J. Wilson
- Journals
- Journal of the American Chemical Society (12 papers)Nature Communications (7 papers)Angewandte Chemie International Edition (7 papers)Biomacromolecules (7 papers)Applied Materials Today (6 papers)
- Partner nations
- NetherlandsUnited StatesChina
In The Last Decade
Daniela A. Wilson
174 papers receiving 11.7k citations
Hit Papers
Peers
Comparison fields: 5 of 161
- Condensed Matter Physics 3.7k
- Biomaterials 2.3k
- Organic Chemistry 4.0k
- Surfaces, Coatings and Films 709
- Biomedical Engineering 4.3k
Countries citing papers authored by Daniela A. Wilson
This map shows the geographic impact of Daniela A. Wilson'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 Daniela A. Wilson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniela A. Wilson more than expected).
Fields of papers citing papers by Daniela A. Wilson
This network shows the impact of papers produced by Daniela A. Wilson. 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 Daniela A. Wilson. The network helps show where Daniela A. Wilson may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniela A. Wilson, 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 | 3 | |
| 3 | 2025 | 5 | |
| 4 | 2024 | 2 | |
| 5 | 2023 | 10 | |
| 6 | 2023 | 1 | |
| 7 | 2023 | 5 | |
| 8 | 2023 | 2 | |
| 9 | 2023 | 9 | |
| 10 | 2023 | 2 | |
| 11 | 2023 | 3 | |
| 12 | 2023 | 10 | |
| 13 | 2022 | 7 | |
| 14 | 2022 | 25 | |
| 15 | 2022 | 70 | |
| 16 | 2021 | 75 | |
| 17 | 2020 | 18 | |
| 18 | 2016 | 137 | |
| 19 | 2013 | 185 | |
| 20 | 核磁気共鳴スペクトレ分析における溶媒効果 V 11-オキソステロイドにおける溶媒シフトベンゼン-ケトン錯体の幾何学 | 1966 | 2 |
About Daniela A. Wilson
Daniela A. Wilson is a scholar working on Condensed Matter Physics, Biomaterials, Surfaces, Coatings and Films, Organic Chemistry and Biomedical Engineering, having authored 181 papers that have together received 11.8k indexed citations. Recurring topics across this work include Micro and Nano Robotics (69 papers), Molecular Communication and Nanonetworks (41 papers), Supramolecular Self-Assembly in Materials (29 papers), Advanced Polymer Synthesis and Characterization (22 papers), Microfluidic and Bio-sensing Technologies (20 papers), Polymer Surface Interaction Studies (19 papers), Dendrimers and Hyperbranched Polymers (14 papers) and Lipid Membrane Structure and Behavior (12 papers). The work is most often cited by research in Condensed Matter Physics (3.7k citations), Biomaterials (2.3k citations), Organic Chemistry (4.0k citations), Surfaces, Coatings and Films (709 citations) and Biomedical Engineering (4.3k citations). Daniela A. Wilson has collaborated with scholars based in Netherlands, United States and China. Frequent co-authors include Jan C. M. van Hest, Fei Peng, Yingfeng Tu, Virgil Percec, Brad M. Rosen, Roeland J. M. Nolte, Mihai Peterca, Christopher J. Wilson, Yongjun Men and Mohammad R. Imam. Their work appears in journals such as Journal of the American Chemical Society, Nature Communications, Angewandte Chemie International Edition, Biomacromolecules and Applied Materials Today.
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.