Brian K. Radak
- Molecular Biology top 10%
- Computational Theory and Mathematics top 2%
- Atomic and Molecular Physics, and Optics top 10%
- Materials Chemistry
- Organic Chemistry
- Co-authors
- Darrin M. YorkTai‐Sung LeeWoody ShermanBryce K. AllenDavid A. PearlmanBenoı̂t RouxChristophe ChipotCharles Lin
- Topics
- Protein Structure and Dynamics (16 papers)Spectroscopy and Quantum Chemical Studies (9 papers)RNA and protein synthesis mechanisms (8 papers)
- Cited by
- Computational Theory and MathematicsMolecular BiologyAtomic and Molecular Physics, and Optics
- Journals
- Proceedings of the National Academy of SciencesThe Journal of Chemical PhysicsThe Journal of Physical Chemistry B
- Partner nations
- United StatesFranceMorocco
In The Last Decade
Brian K. Radak
25 papers receiving 1.0k citations
Hit Papers
Peers
Comparison fields: 5 of 105
- Molecular Biology 809
- Computational Theory and Mathematics 272
- Atomic and Molecular Physics, and Optics 246
- Materials Chemistry 216
- Organic Chemistry 97
Countries citing papers authored by Brian K. Radak
This map shows the geographic impact of Brian K. Radak'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 K. Radak with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Brian K. Radak more than expected).
Fields of papers citing papers by Brian K. Radak
This network shows the impact of papers produced by Brian K. Radak. 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 K. Radak. The network helps show where Brian K. Radak may publish in the future.
Co-authorship network of co-authors of Brian K. Radak
This figure shows the co-authorship network connecting the top 25 collaborators of Brian K. Radak. A scholar is included among the top collaborators of Brian K. Radak based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Brian K. Radak. Brian K. Radak is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 17 | |
| 3 | 8 | |
| 4 | 125 | |
| 5 | Alchemical Binding Free Energy Calculations in AMBER20: Advances and Best Practices for Drug Discoverybreakdown → | 247 |
| 6 | 44 | |
| 7 | 52 | |
| 8 | 2 | |
| 9 | 146 | |
| 10 | 16 | |
| 11 | 23 | |
| 12 | 17 | |
| 13 | 9 | |
| 14 | 18 | |
| 15 | 0 | |
| 16 | 59 | |
| 17 | 50 | |
| 18 | 71 | |
| 19 | 10 | |
| 20 | 2 |
About Brian K. Radak
Brian K. Radak is a scholar working on Atomic and Molecular Physics, and Optics, Statistical and Nonlinear Physics and Molecular Biology, having authored 27 papers that have together received 1.1k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (16 papers), Spectroscopy and Quantum Chemical Studies (9 papers) and RNA and protein synthesis mechanisms (8 papers). The work is most often cited by research in Computational Theory and Mathematics (272 citations), Molecular Biology (809 citations) and Atomic and Molecular Physics, and Optics (246 citations). Brian K. Radak has collaborated with scholars based in United States, France and Morocco. Frequent co-authors include Darrin M. York, Tai‐Sung Lee, Woody Sherman, Bryce K. Allen, David A. Pearlman, Benoı̂t Roux, Christophe Chipot, Charles Lin, Donghyuk Suh and Timothy J. Giese. Their work appears in journals such as Proceedings of the National Academy of Sciences, The Journal of Chemical Physics and The Journal of Physical Chemistry B.
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.