Christopher Bystroff
Impact in
- Molecular Biology top 10%
- Protein Structure and Dynamics
- Machine Learning in Bioinformatics
- RNA and protein synthesis mechanisms
- Genomics and Phylogenetic Studies
- Glycosylation and Glycoproteins Research
- Microbial Metabolic Engineering and Bioproduction
- Materials Chemistry top 10%
- Enzyme Structure and Function
Papers in
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- Protein Structure and Dynamics 27
- Machine Learning in Bioinformatics 9
- RNA and protein synthesis mechanisms 8
- Microbial Metabolic Engineering and Bioproduction 3
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- Enzyme Structure and Function 12
- Machine Learning in Materials Science 2
- Co-authors
- David Baker (4 shared papers)Yu Shao (5 shared papers)Vésteinn Thórsson (1 shared paper)Yao-Ming Huang (5 shared papers)Xin Yuan (4 shared papers)Kim T. Simons (1 shared paper)Kyle E. Watters (1 shared paper)Jonathan S. Dordick (1 shared paper)
- Journals
- Bioinformatics (6 papers)Proteins Structure Function and Bioinformatics (5 papers)Protein Science (3 papers)Journal of Molecular Biology (2 papers)Protein Engineering Design and Selection (2 papers)
- Partner nations
- United StatesIndia
In The Last Decade
Christopher Bystroff
31 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 89
- Molecular Biology 1.1k
- Materials Chemistry 471
- Spectroscopy 66
- Computational Theory and Mathematics 61
- Biotechnology 27
Countries citing papers authored by Christopher Bystroff
This map shows the geographic impact of Christopher 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 Christopher Bystroff with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christopher Bystroff more than expected).
Fields of papers citing papers by Christopher Bystroff
This network shows the impact of papers produced by Christopher 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 Christopher Bystroff. The network helps show where Christopher Bystroff may publish in the future.
Co-authors
The 23 scholars most cited alongside Christopher 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
Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1998 | 292 | |
| 2 | 2000 | 249 | |
| 3 | 2002 | 105 | |
| 4 | 2011 | 73 | |
| 5 | 2007 | 71 | |
| 6 | 1996 | 65 | |
| 7 | 2003 | 60 | |
| 8 | 2013 | 49 | |
| 9 | 2004 | 43 | |
| 10 | 2005 | 41 | |
| 11 | 1997 | 31 | |
| 12 | 2007 | 28 | |
| 13 | 2003 | 24 | |
| 14 | 2002 | 20 | |
| 15 | 2011 | 17 | |
| 16 | 2009 | 16 | |
| 17 | 2015 | 14 | |
| 18 | 2001 | 7 | |
| 19 | 2007 | 7 | |
| 20 | 2009 | 7 |
About Christopher Bystroff
Christopher Bystroff is a scholar working on Molecular Biology, Materials Chemistry, Spectroscopy, Genetics and Atomic and Molecular Physics, and Optics, having authored 31 papers that have together received 1.3k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (27 papers), Enzyme Structure and Function (12 papers), Machine Learning in Bioinformatics (9 papers), RNA and protein synthesis mechanisms (8 papers), Microbial Metabolic Engineering and Bioproduction (3 papers), Mass Spectrometry Techniques and Applications (3 papers), Bacterial Genetics and Biotechnology (2 papers) and Machine Learning in Materials Science (2 papers). The work is most often cited by research in Molecular Biology (1.1k citations), Materials Chemistry (471 citations), Spectroscopy (66 citations), Computational Theory and Mathematics (61 citations) and Biotechnology (27 citations). Christopher Bystroff has collaborated with scholars based in United States and India. Frequent co-authors include David Baker, Yu Shao, Vésteinn Thórsson, Yao-Ming Huang, Xin Yuan, Kim T. Simons, Kyle E. Watters, Jonathan S. Dordick, Wilfredo Colón and Mohammed J. Zaki. Their work appears in journals such as Bioinformatics, Proteins Structure Function and Bioinformatics, Protein Science, Journal of Molecular Biology and Protein Engineering Design and Selection.
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.