Christopher Bystroff

1.5k total citations
29 papers, 1.1k citations indexed

About

Christopher Bystroff is a scholar working on Molecular Biology, Materials Chemistry and Spectroscopy. According to data from OpenAlex, Christopher Bystroff has authored 29 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Molecular Biology, 19 papers in Materials Chemistry and 3 papers in Spectroscopy. Recurrent topics in Christopher Bystroff's work include Protein Structure and Dynamics (27 papers), Enzyme Structure and Function (17 papers) and RNA and protein synthesis mechanisms (9 papers). Christopher Bystroff is often cited by papers focused on Protein Structure and Dynamics (27 papers), Enzyme Structure and Function (17 papers) and RNA and protein synthesis mechanisms (9 papers). Christopher Bystroff collaborates with scholars based in United States and India. Christopher Bystroff's co-authors include David Baker, Yu Shao, Vésteinn Thórsson, Yao-Ming Huang, Xin Yuan, Kim T. Simons, Wilfredo Colón, Shekhar Garde, Jonathan S. Dordick and Qishan Lin and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Bioinformatics.

In The Last Decade

Christopher Bystroff

29 papers receiving 1.1k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Christopher Bystroff United States 16 1.0k 490 61 60 59 29 1.1k
R. Dustin Schaeffer United States 19 1.1k 1.0× 393 0.8× 99 1.6× 74 1.2× 60 1.0× 41 1.2k
Arun S. Konagurthu Australia 10 700 0.7× 237 0.5× 29 0.5× 62 1.0× 76 1.3× 33 881
Tony E. Lewis United Kingdom 11 1.3k 1.2× 379 0.8× 89 1.5× 131 2.2× 110 1.9× 15 1.4k
Julia Koehler Leman United States 16 869 0.8× 168 0.3× 70 1.1× 148 2.5× 49 0.8× 25 1.1k
Naomi K. Fox United States 7 766 0.7× 226 0.5× 33 0.5× 98 1.6× 39 0.7× 9 855
Chen Keasar Israel 15 600 0.6× 177 0.4× 70 1.1× 72 1.2× 35 0.6× 31 867
Rebecca F. Alford United States 6 990 0.9× 230 0.5× 57 0.9× 124 2.1× 82 1.4× 12 1.2k
Bryan Lunt United States 4 988 0.9× 210 0.4× 45 0.7× 78 1.3× 203 3.4× 8 1.1k
Michail Yu. Lobanov Russia 14 993 0.9× 347 0.7× 83 1.4× 84 1.4× 74 1.3× 21 1.1k
Hédi Hegyi Hungary 16 1.2k 1.2× 213 0.4× 67 1.1× 46 0.8× 112 1.9× 23 1.3k

Countries citing papers authored by Christopher Bystroff

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Christopher Bystroff

This figure shows the co-authorship network connecting the top 25 collaborators of Christopher Bystroff. A scholar is included among the top collaborators of Christopher Bystroff 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 Christopher Bystroff. Christopher Bystroff is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Huang, Yao-Ming & Christopher Bystroff. (2013). Expanded Explorations into the Optimization of an Energy Function for Protein Design. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 10(5). 1176–1187. 5 indexed citations
2.
Ramakrishnan, Vibin, et al.. (2011). Geofold: Topology‐based protein unfolding pathways capture the effects of engineered disulfides on kinetic stability. Proteins Structure Function and Bioinformatics. 80(3). 920–934. 17 indexed citations
3.
Buck, Patrick M. & Christopher Bystroff. (2011). Constraining local structure can speed up folding by promoting structural polarization of the folding pathway. Protein Science. 20(6). 959–969. 3 indexed citations
4.
5.
Cole, Benjamin & Christopher Bystroff. (2009). Alpha helical crossovers favor right‐handed supersecondary structures by kinetic trapping: The phone cord effect in protein folding. Protein Science. 18(8). 1602–1608. 16 indexed citations
6.
Salem, Saeed, Mohammed J. Zaki, & Christopher Bystroff. (2009). ITERATIVE NON-SEQUENTIAL PROTEIN STRUCTURAL ALIGNMENT. Journal of Bioinformatics and Computational Biology. 7(3). 571–596. 5 indexed citations
7.
Buck, Patrick M. & Christopher Bystroff. (2008). Simulating protein folding initiation sites using an alpha‐carbon‐only knowledge‐based force field. Proteins Structure Function and Bioinformatics. 76(2). 331–342. 3 indexed citations
8.
Bystroff, Christopher & Bobbie‐Jo Webb‐Robertson. (2008). Pairwise covariance adds little to secondary structure prediction but improves the prediction of non-canonical local structure. BMC Bioinformatics. 9(1). 429–429. 1 indexed citations
9.
Hasan, Mohammad Al, et al.. (2007). Context shapes: Efficient complementary shape matching for protein–protein docking. Proteins Structure Function and Bioinformatics. 70(3). 1056–1073. 25 indexed citations
10.
Huang, Yao-Ming & Christopher Bystroff. (2005). Improved pairwise alignments of proteins in the Twilight Zone using local structure predictions. Bioinformatics. 22(4). 413–422. 40 indexed citations
11.
Bystroff, Christopher, Yu Shao, & Xin Yuan. (2004). Five Hierarchical Levels of Sequence-Structure Correlation in Proteins. PubMed. 3(2). 97–104. 5 indexed citations
12.
Yuan, Xin & Christopher Bystroff. (2004). Non-sequential structure-based alignments reveal topology-independent core packing arrangements in proteins. Bioinformatics. 21(7). 1010–1019. 38 indexed citations
13.
Shao, Yu & Christopher Bystroff. (2003). Predicting interresidue contacts using templates and pathways. Proteins Structure Function and Bioinformatics. 53(S6). 497–502. 55 indexed citations
14.
Bystroff, Christopher & Shekhar Garde. (2003). Helix propensities of short peptides: Molecular dynamics versus bioinformatics. Proteins Structure Function and Bioinformatics. 50(4). 552–562. 23 indexed citations
15.
Yuan, Xin, Yu Shao, & Christopher Bystroff. (2003). Ab initio protein structure prediction using pathway models. Comparative and Functional Genomics. 4(4). 397–401. 5 indexed citations
16.
Bystroff, Christopher & Yu Shao. (2002). Fully automated ab initio proteinstructure prediction using I-SITES, HMMSTR and ROSETTA. Bioinformatics. 18(suppl_1). S54–S61. 97 indexed citations
17.
Bystroff, Christopher, Vésteinn Thórsson, & David Baker. (2000). HMMSTR: a hidden Markov model for local sequence-structure correlations in proteins 1 1Edited by J. Thornton. Journal of Molecular Biology. 301(1). 173–190. 224 indexed citations
18.
Bystroff, Christopher & David Baker. (1998). Prediction of local structure in proteins using a library of sequence-structure motifs. Journal of Molecular Biology. 281(3). 565–577. 262 indexed citations
19.
Bystroff, Christopher, et al.. (1997). Three‐dimensional structures and contexts associated with recurrent amino acid sequence patterns. Protein Science. 6(7). 1587–1590. 30 indexed citations
20.
Bystroff, Christopher, et al.. (1996). Local sequence-structure correlations in proteins. Current Opinion in Biotechnology. 7(4). 417–421. 60 indexed citations

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.

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