Ryan Brenke
Impact in
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- Computational Drug Discovery Methods
- Molecular Biology top 5%
- Protein Structure and Dynamics
- RNA and protein synthesis mechanisms
- vaccines and immunoinformatics approaches
- Glycosylation and Glycoproteins Research
- Bioinformatics and Genomic Networks
Papers in
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- Protein Structure and Dynamics 6
- Protein purification and stability 3
- Glycosylation and Glycoproteins Research 2
- DNA and Nucleic Acid Chemistry 2
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- Computational Drug Discovery Methods 3
- Co-authors
- Sándor Vajda (13 shared papers)Dima Kozakov (13 shared papers)Stephen R. Comeau (6 shared papers)Dmitri Beglov (10 shared papers)Gwo‐Yu Chuang (6 shared papers)David R. Hall (6 shared papers)Melissa Landon (2 shared papers)Carla Mattos (1 shared paper)
- Journals
- Proteins Structure Function and Bioinformatics (6 papers)Biophysical Journal (2 papers)Bioinformatics (2 papers)Nucleic Acids Research (1 paper)Proceedings of the National Academy of Sciences (1 paper)
- Partner nations
- United StatesJapanIsrael
In The Last Decade
Ryan Brenke
13 papers receiving 1.9k citations
Ryan Brenke's Hit Papers
Peers
Comparison fields: 5 of 110
- Computational Theory and Mathematics 506
- Molecular Biology 1.4k
- Radiology, Nuclear Medicine and Imaging 243
- Immunology 175
- Virology 35
Countries citing papers authored by Ryan Brenke
This map shows the geographic impact of Ryan Brenke'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 Ryan Brenke with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ryan Brenke more than expected).
Fields of papers citing papers by Ryan Brenke
This network shows the impact of papers produced by Ryan Brenke. 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 Ryan Brenke. The network helps show where Ryan Brenke may publish in the future.
Co-authors
The 25 scholars most cited alongside Ryan Brenke, 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 | PIPER: An FFT‐based protein docking program with pairwise potentials Hit paper breakdown → | 2006 | 640 |
| 2 | 2009 | 367 | |
| 3 | 2010 | 203 | |
| 4 | 2011 | 187 | |
| 5 | 2012 | 154 | |
| 6 | 2008 | 131 | |
| 7 | 2009 | 71 | |
| 8 | 2007 | 70 | |
| 9 | 2009 | 35 | |
| 10 | 2012 | 34 | |
| 11 | 2011 | 23 | |
| 12 | 2007 | 11 | |
| 13 | 2009 | 9 |
About Ryan Brenke
Ryan Brenke is a scholar working on Molecular Biology, Computational Theory and Mathematics, Materials Chemistry, Radiology, Nuclear Medicine and Imaging and Infectious Diseases, having authored 13 papers that have together received 1.9k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (6 papers), Protein purification and stability (3 papers), Enzyme Structure and Function (3 papers), Computational Drug Discovery Methods (3 papers), Glycosylation and Glycoproteins Research (2 papers), DNA and Nucleic Acid Chemistry (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers) and SARS-CoV-2 detection and testing (1 paper). The work is most often cited by research in Computational Theory and Mathematics (506 citations), Molecular Biology (1.4k citations), Radiology, Nuclear Medicine and Imaging (243 citations), Immunology (175 citations) and Virology (35 citations). Ryan Brenke has collaborated with scholars based in United States, Japan and Israel. Frequent co-authors include Sándor Vajda, Dima Kozakov, Stephen R. Comeau, Dmitri Beglov, Gwo‐Yu Chuang, David R. Hall, Melissa Landon, Carla Mattos, Yang Shen and Tanggis Bohnuud. Their work appears in journals such as Proteins Structure Function and Bioinformatics, Biophysical Journal, Bioinformatics, Nucleic Acids Research and Proceedings of the National Academy of 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.