Chris Bystroff
Impact in
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- Protein Structure and Dynamics
- RNA and protein synthesis mechanisms
- Machine Learning in Bioinformatics
- Genomics and Phylogenetic Studies
- Glycosylation and Glycoproteins Research
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- Enzyme Structure and Function
Papers in
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- Machine Learning in Bioinformatics 7
- Protein Structure and Dynamics 7
- RNA and protein synthesis mechanisms 3
- Genetics, Bioinformatics, and Biomedical Research 1
- Genomics and Phylogenetic Studies 1
- Biomedical Text Mining and Ontologies 1
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- Enzyme Structure and Function 3
- Co-authors
- David Baker (4 shared papers)Ingo Ruczinski (2 shared papers)Charles Kooperberg (2 shared papers)Brian A. Fox (2 shared papers)Kim T. Simons (2 shared papers)Mohammed J. Zaki (4 shared papers)Saeed Salem (1 shared paper)Jingjing Hu (1 shared paper)
- Journals
- Proteins Structure Function and Bioinformatics (2 papers)Bioinformatics (1 paper)Algorithms for Molecular Biology (1 paper)Journal of Molecular Biology (1 paper)Journal of Computational Biology (1 paper)
- Partner nations
- United States
In The Last Decade
Chris Bystroff
9 papers receiving 517 citations
Chris Bystroff's Hit Papers
Peers
Comparison fields: 5 of 72
- Molecular Biology 482
- Materials Chemistry 283
- Computational Theory and Mathematics 61
- Spectroscopy 58
- Structural Biology 4
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 | Improved recognition of native-like protein structures using a combination of sequence-dependent and sequence-independent features of proteins Hit paper breakdown → | 1999 | 358 |
| 2 | Mining protein contact maps | 2002 | 41 |
| 3 | 1998 | 36 | |
| 4 | 2010 | 28 | |
| 5 | 1999 | 23 | |
| 6 | 2004 | 19 | |
| 7 | 2008 | 13 | |
| 8 | 2000 | 6 | |
| 9 | 2007 | 3 | |
| 10 | 2002 | 1 |
About Chris Bystroff
Chris Bystroff is a scholar working on Molecular Biology, Materials Chemistry, Pharmacology, Spectroscopy and Infectious Diseases, having authored 10 papers that have together received 528 indexed citations. Recurring topics across this work include Machine Learning in Bioinformatics (7 papers), Protein Structure and Dynamics (7 papers), Enzyme Structure and Function (3 papers), RNA and protein synthesis mechanisms (3 papers), Genetics, Bioinformatics, and Biomedical Research (1 paper), Microbial Natural Products and Biosynthesis (1 paper), Genomics and Phylogenetic Studies (1 paper) and Biomedical Text Mining and Ontologies (1 paper). The work is most often cited by research in Molecular Biology (482 citations), Materials Chemistry (283 citations), Computational Theory and Mathematics (61 citations), Spectroscopy (58 citations) and Structural Biology (4 citations). Chris Bystroff has collaborated with scholars based in United States. Frequent co-authors include David Baker, Ingo Ruczinski, Charles Kooperberg, Brian A. Fox, Kim T. Simons, Mohammed J. Zaki, Saeed Salem, Jingjing Hu, Yu Shao and Yi Qian. Their work appears in journals such as Proteins Structure Function and Bioinformatics, Bioinformatics, Algorithms for Molecular Biology, Journal of Molecular Biology and Journal of Computational Biology.
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.