Chris Bystroff

1.6k total citations · 1 hit paper
10 papers, 528 citations indexed

About

Chris Bystroff is a scholar working on Molecular Biology, Materials Chemistry and Pharmacology. According to data from OpenAlex, Chris Bystroff has authored 10 papers receiving a total of 528 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 3 papers in Materials Chemistry and 1 paper in Pharmacology. Recurrent topics in Chris Bystroff's work include Machine Learning in Bioinformatics (7 papers), Protein Structure and Dynamics (7 papers) and RNA and protein synthesis mechanisms (3 papers). Chris Bystroff is often cited by papers focused on Machine Learning in Bioinformatics (7 papers), Protein Structure and Dynamics (7 papers) and RNA and protein synthesis mechanisms (3 papers). Chris Bystroff collaborates with scholars based in United States. Chris Bystroff's co-authors include David Baker, Charles Kooperberg, Brian A. Fox, Kim T. Simons, Ingo Ruczinski, Mohammed J. Zaki, Saeed Salem, Jingjing Hu, Yu Shao and Rachel E. Klevit and has published in prestigious journals such as Bioinformatics, Journal of Molecular Biology and Proteins Structure Function and Bioinformatics.

In The Last Decade

Chris Bystroff

9 papers receiving 517 citations

Hit Papers

Improved recognition of native-like protein structures us... 1999 2026 2008 2017 1999 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chris Bystroff United States 7 482 283 61 58 19 10 528
Helen M. Grindley United Kingdom 10 410 0.9× 228 0.8× 116 1.9× 36 0.6× 12 0.6× 15 559
Osvaldo Olmea Spain 9 972 2.0× 368 1.3× 84 1.4× 43 0.7× 9 0.5× 10 1.1k
Guoying Qi United Kingdom 9 393 0.8× 143 0.5× 54 0.9× 56 1.0× 14 0.7× 9 455
Naomi K. Fox United States 7 766 1.6× 226 0.8× 98 1.6× 33 0.6× 9 0.5× 9 855
Volker A. Eyrich United States 10 431 0.9× 222 0.8× 77 1.3× 33 0.6× 5 0.3× 12 455
Bernd N. M. van Buuren Sweden 8 537 1.1× 82 0.3× 57 0.9× 103 1.8× 7 0.4× 11 714
Tamotsu Noguchi Japan 12 533 1.1× 156 0.6× 43 0.7× 36 0.6× 6 0.3× 29 600
Alex C.W. May United Kingdom 14 327 0.7× 133 0.5× 41 0.7× 24 0.4× 4 0.2× 17 427
Badri Adhikari United States 17 841 1.7× 293 1.0× 143 2.3× 33 0.6× 22 1.2× 31 956
Genki Terashi United States 17 638 1.3× 366 1.3× 110 1.8× 33 0.6× 5 0.3× 62 819

Countries citing papers authored by Chris Bystroff

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Chris Bystroff

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

All Works

10 of 10 papers shown
1.
Salem, Saeed, Mohammed J. Zaki, & Chris Bystroff. (2010). FlexSnap: Flexible Non-sequential Protein Structure Alignment. Algorithms for Molecular Biology. 5(1). 12–12. 28 indexed citations
2.
Zaki, Mohammed J. & Chris Bystroff. (2008). Protein Structure Prediction. Humana Press eBooks. 413. v–vii. 13 indexed citations
3.
Bystroff, Chris, et al.. (2007). Protein Structure Prediction, Second Edition. Humana Press eBooks. 3 indexed citations
4.
Zaki, Mohammed J., et al.. (2004). Predicting protein folding pathways. Bioinformatics. 20(suppl_1). i386–i393. 19 indexed citations
5.
Hu, Jingjing, et al.. (2002). Mining protein contact maps. 11(128). 3–10. 41 indexed citations
6.
Bystroff, Chris. (2002). Introduction. Scientific Programming. 10(3). 183–184. 1 indexed citations
7.
Thayer, Edward C., Chris Bystroff, & David Baker. (2000). Detection of Protein Coding Sequences Using a Mixture Model for Local Protein Amino Acid Sequence. Journal of Computational Biology. 7(1-2). 317–327. 6 indexed citations
8.
Simons, Kim T., Ingo Ruczinski, Charles Kooperberg, et al.. (1999). Improved recognition of native-like protein structures using a combination of sequence-dependent and sequence-independent features of proteins. Proteins Structure Function and Bioinformatics. 34(1). 82–95. 358 indexed citations breakdown →
9.
Simons, Kim T., Ingo Ruczinski, Charles Kooperberg, et al.. (1999). Improved recognition of native‐like protein structures using a combination of sequence‐dependent and sequence‐independent features of proteins. Proteins Structure Function and Bioinformatics. 34(1). 82–95. 23 indexed citations
10.
Qian, Yi, Chris Bystroff, Ponni Rajagopal, Rachel E. Klevit, & David Baker. (1998). Prediction and structural characterization of an independently folding substructure in the src SH3 domain. Journal of Molecular Biology. 283(1). 293–300. 36 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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