Daniel To
Impact in
- Pharmaceutical Science top 2%
- Drug Solubulity and Delivery Systems
- Advanced Drug Delivery Systems
- Computational Mechanics top 10%
- Granular flow and fluidized beds
- Fluid Dynamics and Heat Transfer
Papers in
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- Drug Solubulity and Delivery Systems 5
-
- Granular flow and fluidized beds 4
- Fluid Dynamics and Heat Transfer 1
- Co-authors
- Rajesh N. Davé (9 shared papers)Xi Han (3 shared papers)Chinmay Ghoroi (3 shared papers)Yuhua Chen (1 shared paper)Laila J. Jallo (2 shared papers)Sankaran Sundaresan (2 shared papers)Xiaolong Yin (1 shared paper)Catharina Knieke (2 shared papers)
- Journals
- International Journal of Pharmaceutics (3 papers)Powder Technology (3 papers)Journal of Nanoparticle Research (1 paper)Chemical Engineering Science (1 paper)Journal of Pharmaceutical Sciences (1 paper)
- Partner nations
- United StatesAustriaAustralia
In The Last Decade
Daniel To
14 papers receiving 555 citations
Peers
Comparison fields: 5 of 106
- Pharmaceutical Science 200
- Computational Mechanics 125
- Food Science 60
- Spectroscopy 52
- Fluid Flow and Transfer Processes 18
Countries citing papers authored by Daniel To
This map shows the geographic impact of Daniel To'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 Daniel To with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel To more than expected).
Fields of papers citing papers by Daniel To
This network shows the impact of papers produced by Daniel To. 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 Daniel To. The network helps show where Daniel To may publish in the future.
Co-authors
The 18 scholars most cited alongside Daniel To, 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 | 2011 | 150 | |
| 2 | 2013 | 73 | |
| 3 | 2012 | 62 | |
| 4 | 2014 | 60 | |
| 5 | 2009 | 58 | |
| 6 | 2014 | 38 | |
| 7 | 2011 | 26 | |
| 8 | 5' untranslated sequences determine degradative pathway for alternate PDGF B/c-sis mRNA's. | 1991 | 26 |
| 9 | 2015 | 22 | |
| 10 | 2019 | 19 | |
| 11 | Platelet-derived growth factor in renal development and disease. | 1993 | 19 |
| 12 | 2013 | 13 | |
| 13 | Deagglomeration and mixing via the rapid expansion of high pressure and supercritical suspensions | 2011 | 1 |
| 14 | Microporous Polymer Films for Enhancing Light Extraction of White Light Organic Light Emitting Diodes | 2017 | 1 |
| 15 | 2025 | 0 |
About Daniel To
Daniel To is a scholar working on Pharmaceutical Science, Computational Mechanics, Materials Chemistry, Biomedical Engineering and Molecular Biology, having authored 15 papers that have together received 568 indexed citations. Recurring topics across this work include Drug Solubulity and Delivery Systems (5 papers), Phase Equilibria and Thermodynamics (4 papers), Granular flow and fluidized beds (4 papers), Material Dynamics and Properties (4 papers), Protein purification and stability (2 papers), Microencapsulation and Drying Processes (2 papers), Crystallization and Solubility Studies (2 papers) and Fluid Dynamics and Heat Transfer (1 paper). The work is most often cited by research in Pharmaceutical Science (200 citations), Computational Mechanics (125 citations), Food Science (60 citations), Spectroscopy (52 citations) and Fluid Flow and Transfer Processes (18 citations). Daniel To has collaborated with scholars based in United States, Austria and Australia. Frequent co-authors include Rajesh N. Davé, Xi Han, Chinmay Ghoroi, Yuhua Chen, Laila J. Jallo, Sankaran Sundaresan, Xiaolong Yin, Catharina Knieke, Mohammad Azad and Aibing Yu. Their work appears in journals such as International Journal of Pharmaceutics, Powder Technology, Journal of Nanoparticle Research, Chemical Engineering Science and Journal of Pharmaceutical Sciences.
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.