Juan G. Osorio
- Pharmaceutical Science top 5%
- Drug Solubulity and Delivery Systems 5
- Computational Mechanics top 5%
- Granular flow and fluidized beds 9
- Biophysics top 10%
- Spectroscopy Techniques in Biomedical and Chemical Research 2
- Analytical Chemistry top 10%
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- Microfluidic and Capillary Electrophoresis Applications 6
- Microfluidic and Bio-sensing Technologies 3
- Innovative Microfluidic and Catalytic Techniques Innovation 2
- Fluid Dynamics and Mixing 2
- 3D Printing in Biomedical Research 2
- Co-authors
- Fernando J. MuzzioAditya U. VanaraseGábor KeményRodolfo J. RomañachDimitrios A. LamprouJames D. LitsterGavin HalbertMohammad Azad
- Journals
- Powder Technology (4 papers)Chemical Engineering and Processing - Process Intensification (2 papers)International Journal of Pharmaceutics (2 papers)
- Partner nations
- United StatesUnited KingdomPuerto Rico
In The Last Decade
Juan G. Osorio
14 papers receiving 486 citations
Peers
Comparison fields: 5 of 80
- Pharmaceutical Science 132
- Computational Mechanics 198
- Biophysics 36
- Analytical Chemistry 59
- Mechanical Engineering 159
Countries citing papers authored by Juan G. Osorio
This map shows the geographic impact of Juan G. Osorio'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 Juan G. Osorio with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Juan G. Osorio more than expected).
Fields of papers citing papers by Juan G. Osorio
This network shows the impact of papers produced by Juan G. Osorio. 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 Juan G. Osorio. The network helps show where Juan G. Osorio may publish in the future.
Co-authorship network
The 16 scholars most cited alongside Juan G. Osorio, 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 | 2022 | 3 | |
| 2 | 2019 | 14 | |
| 3 | 2018 | 26 | |
| 4 | 2017 | 14 | |
| 5 | 2016 | 31 | |
| 6 | 2016 | 36 | |
| 7 | 2016 | 39 | |
| 8 | 2016 | 29 | |
| 9 | 2015 | 23 | |
| 10 | 2015 | 91 | |
| 11 | 2015 | 7 | |
| 12 | 2014 | 34 | |
| 13 | 2013 | 45 | |
| 14 | 2013 | 105 |
About Juan G. Osorio
Juan G. Osorio is a scholar working on Pharmaceutical Science, Computational Mechanics and Biophysics, having authored 14 papers that have together received 497 indexed citations. Recurring topics across this work include Granular flow and fluidized beds (9 papers), Microfluidic and Capillary Electrophoresis Applications (6 papers), Drug Solubulity and Delivery Systems (5 papers), Microfluidic and Bio-sensing Technologies (3 papers), Innovative Microfluidic and Catalytic Techniques Innovation (2 papers), Fluid Dynamics and Mixing (2 papers), Spectroscopy Techniques in Biomedical and Chemical Research (2 papers) and 3D Printing in Biomedical Research (2 papers). The work is most often cited by research in Pharmaceutical Science (132 citations), Computational Mechanics (198 citations) and Biophysics (36 citations). Juan G. Osorio has collaborated with scholars based in United States, United Kingdom and Puerto Rico. Frequent co-authors include Fernando J. Muzzio, Aditya U. Vanarase, Gábor Kemény, Rodolfo J. Romañach, Dimitrios A. Lamprou, James D. Litster, Gavin Halbert, Mohammad Azad, Allan S. Myerson and David Brancazio. Their work appears in journals such as Powder Technology, Chemical Engineering and Processing - Process Intensification, International Journal of Pharmaceutics, Pharmaceutical Research and AAPS PharmSciTech.
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.