Brian Yoo
Impact in
- Catalysis top 5%
- Ionic liquids properties and applications
- Filtration and Separation top 5%
Papers in
-
- Ionic liquids properties and applications 7
-
- Machine Learning in Materials Science 3
- Material Dynamics and Properties 3
- Block Copolymer Self-Assembly 2
- Co-authors
- Edward J. Maginn (5 shared papers)Yingxi Zhu (3 shared papers)Jindal K. Shah (3 shared papers)Richard Baker (1 shared paper)C.J.D. Fell (1 shared paper)Anthony G. Fane (1 shared paper)John M. Prausnitz (5 shared papers)Shefang Wang (1 shared paper)
- Journals
- Industrial & Engineering Chemistry Research (2 papers)Langmuir (2 papers)Journal of Computational Chemistry (1 paper)Journal of Thoracic and Cardiovascular Surgery (1 paper)The Journal of Chemical Physics (1 paper)
- Partner nations
- United StatesGermanySwitzerland
In The Last Decade
Brian Yoo
18 papers receiving 920 citations
Peers
Comparison fields: 5 of 106
- Catalysis 336
- Filtration and Separation 39
- Electrochemistry 81
- Water Science and Technology 121
- Organic Chemistry 163
Countries citing papers authored by Brian Yoo
This map shows the geographic impact of Brian Yoo'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 Brian Yoo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Brian Yoo more than expected).
Fields of papers citing papers by Brian Yoo
This network shows the impact of papers produced by Brian Yoo. 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 Brian Yoo. The network helps show where Brian Yoo may publish in the future.
Co-authors
The 25 scholars most cited alongside Brian Yoo, 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 | 2021 | 145 | |
| 2 | 1985 | 131 | |
| 3 | 2017 | 126 | |
| 4 | 2014 | 126 | |
| 5 | 2016 | 103 | |
| 6 | 2016 | 73 | |
| 7 | 2012 | 36 | |
| 8 | 2021 | 35 | |
| 9 | 2011 | 29 | |
| 10 | 2020 | 26 | |
| 11 | 2013 | 21 | |
| 12 | 2023 | 20 | |
| 13 | 2022 | 19 | |
| 14 | 2012 | 12 | |
| 15 | 2017 | 11 | |
| 16 | 2012 | 9 | |
| 17 | 2006 | 7 | |
| 18 | 2016 | 4 |
About Brian Yoo
Brian Yoo is a scholar working on Catalysis, Materials Chemistry, Organic Chemistry, Biomedical Engineering and Filtration and Separation, having authored 18 papers that have together received 933 indexed citations. Recurring topics across this work include Ionic liquids properties and applications (7 papers), Surfactants and Colloidal Systems (3 papers), Phase Equilibria and Thermodynamics (3 papers), Machine Learning in Materials Science (3 papers), Material Dynamics and Properties (3 papers), Chemical and Physical Properties in Aqueous Solutions (3 papers), Polymer Surface Interaction Studies (2 papers) and Block Copolymer Self-Assembly (2 papers). The work is most often cited by research in Catalysis (336 citations), Filtration and Separation (39 citations), Electrochemistry (81 citations), Water Science and Technology (121 citations) and Organic Chemistry (163 citations). Brian Yoo has collaborated with scholars based in United States, Germany and Switzerland. Frequent co-authors include Edward J. Maginn, Yingxi Zhu, Jindal K. Shah, Richard Baker, C.J.D. Fell, Anthony G. Fane, John M. Prausnitz, Shefang Wang, Berend Smit and Kevin Maik Jablonka. Their work appears in journals such as Industrial & Engineering Chemistry Research, Langmuir, Journal of Computational Chemistry, Journal of Thoracic and Cardiovascular Surgery and The Journal of Chemical Physics.
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.