David Wilsdon
Impact in
- Automotive Engineering top 5%
- Additive Manufacturing and 3D Printing Technologies
- Pharmaceutical Science top 5%
- Drug Solubulity and Delivery Systems
Papers in
-
- 3D Printing in Biomedical Research 4
- Innovative Microfluidic and Catalytic Techniques Innovation 2
-
- Granular flow and fluidized beds 3
- Co-authors
- Álvaro Goyanes (4 shared papers)Sarah J. Trenfield (4 shared papers)Martin Rowland (4 shared papers)Abdul W. Basit (4 shared papers)Simon Gaisford (4 shared papers)Richard Telford (1 shared paper)Pankaj Doshi (3 shared papers)Patricija Januskaite (1 shared paper)
- Journals
- International Journal of Pharmaceutics (4 papers)Pharmaceutics (1 paper)Journal of Pharmaceutical Sciences (1 paper)International Journal of Pharmaceutics X (1 paper)
- Partner nations
- United KingdomUnited StatesSpain
In The Last Decade
David Wilsdon
7 papers receiving 405 citations
Peers
Comparison fields: 5 of 60
- Automotive Engineering 196
- Pharmaceutical Science 64
- Biomedical Engineering 273
- Biophysics 26
- Computational Mechanics 73
Countries citing papers authored by David Wilsdon
This map shows the geographic impact of David Wilsdon'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 David Wilsdon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Wilsdon more than expected).
Fields of papers citing papers by David Wilsdon
This network shows the impact of papers produced by David Wilsdon. 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 David Wilsdon. The network helps show where David Wilsdon may publish in the future.
Co-authors
The 22 scholars most cited alongside David Wilsdon, 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 | 2018 | 130 | |
| 2 | 2020 | 93 | |
| 3 | 2017 | 61 | |
| 4 | 2022 | 46 | |
| 5 | 2022 | 41 | |
| 6 | 2021 | 22 | |
| 7 | 2021 | 12 |
About David Wilsdon
David Wilsdon is a scholar working on Biomedical Engineering, Computational Mechanics, Mechanical Engineering, Automotive Engineering and Pharmaceutical Science, having authored 7 papers that have together received 405 indexed citations. Recurring topics across this work include 3D Printing in Biomedical Research (4 papers), Granular flow and fluidized beds (3 papers), Mineral Processing and Grinding (2 papers), Additive Manufacturing and 3D Printing Technologies (2 papers), Drug Solubulity and Delivery Systems (2 papers), Innovative Microfluidic and Catalytic Techniques Innovation (2 papers), Injection Molding Process and Properties (1 paper) and Protein purification and stability (1 paper). The work is most often cited by research in Automotive Engineering (196 citations), Pharmaceutical Science (64 citations), Biomedical Engineering (273 citations), Biophysics (26 citations) and Computational Mechanics (73 citations). David Wilsdon has collaborated with scholars based in United Kingdom, United States and Spain. Frequent co-authors include Álvaro Goyanes, Sarah J. Trenfield, Martin Rowland, Abdul W. Basit, Simon Gaisford, Richard Telford, Pankaj Doshi, Patricija Januskaite, Kai Lee and Xiaoyan Xu. Their work appears in journals such as International Journal of Pharmaceutics, Pharmaceutics, Journal of Pharmaceutical Sciences and International Journal of Pharmaceutics X.
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.