Chris Bystroff
Impact in
- Molecular Biology top 10%
- Protein Structure and Dynamics
- RNA and protein synthesis mechanisms
- Machine Learning in Bioinformatics
- Glycosylation and Glycoproteins Research
Papers in
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- Protein Structure and Dynamics 11
- Machine Learning in Bioinformatics 9
- RNA and protein synthesis mechanisms 4
- Biochemical and Structural Characterization 1
- Biomedical Text Mining and Ontologies 1
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- Advanced Proteomics Techniques and Applications 1
- Co-authors
- David Baker (4 shared papers)Charles L Kooperberg (2 shared papers)Brian A. Fox (2 shared papers)Kim T. Simons (2 shared papers)Ingo Ruczinski (2 shared papers)Mohammed Javeed Zaki (7 shared papers)Jingjing Hu (1 shared paper)Yu Shao (1 shared paper)
- Journals
- Proteins Structure Function and Bioinformatics (2 papers)Journal of Computational Biology (1 paper)Journal of Molecular Biology (1 paper)Algorithms for Molecular Biology (1 paper)Bioinformatics (1 paper)
- Partner nations
- United StatesIsrael
In The Last Decade
Chris Bystroff
12 papers receiving 1.2k citations
Chris Bystroff's Hit Papers
Peers
Comparison fields: 5 of 104
- Molecular Biology 946
- Structural Biology 12
- Materials Chemistry 363
- Computational Theory and Mathematics 107
- Spectroscopy 93
Countries citing papers authored by Chris Bystroff
This map shows the geographic impact of Chris Bystroff'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 Chris Bystroff with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chris Bystroff more than expected).
Fields of papers citing papers by Chris Bystroff
This network shows the impact of papers produced by Chris Bystroff. 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 Chris Bystroff. The network helps show where Chris Bystroff may publish in the future.
Co-authors
The 13 scholars most cited alongside Chris Bystroff, 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 | Macromolecular modeling and design in Rosetta: recent methods and frameworks Hit paper breakdown → | 2020 | 606 |
| 2 | 1999 | 376 | |
| 3 | Mining protein contact maps | 2002 | 48 |
| 4 | 1998 | 37 | |
| 5 | 2010 | 30 | |
| 6 | 1999 | 24 | |
| 7 | 2004 | 22 | |
| 8 | 2008 | 15 | |
| 9 | 2005 | 8 | |
| 10 | 2000 | 6 | |
| 11 | 2001 | 5 | |
| 12 | 2007 | 4 | |
| 13 | 2002 | 1 | |
| 14 | 2009 | 0 |
About Chris Bystroff
Chris Bystroff is a scholar working on Molecular Biology, Spectroscopy, Materials Chemistry, Pharmacology and Radiology, Nuclear Medicine and Imaging, having authored 14 papers that have together received 1.2k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (11 papers), Machine Learning in Bioinformatics (9 papers), RNA and protein synthesis mechanisms (4 papers), Enzyme Structure and Function (4 papers), Microbial Natural Products and Biosynthesis (1 paper), Biochemical and Structural Characterization (1 paper), Biomedical Text Mining and Ontologies (1 paper) and Advanced Proteomics Techniques and Applications (1 paper). The work is most often cited by research in Molecular Biology (946 citations), Structural Biology (12 citations), Materials Chemistry (363 citations), Computational Theory and Mathematics (107 citations) and Spectroscopy (93 citations). Chris Bystroff has collaborated with scholars based in United States and Israel. Frequent co-authors include David Baker, Charles L Kooperberg, Brian A. Fox, Kim T. Simons, Ingo Ruczinski, Mohammed Javeed Zaki, Jingjing Hu, Yu Shao, Saeed Salem and Ponni Rajagopal. Their work appears in journals such as Proteins Structure Function and Bioinformatics, Journal of Computational Biology, Journal of Molecular Biology, Algorithms for Molecular Biology and Bioinformatics.
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.