Kevin Karplus

25.9k total citations · 5 hit papers
83 papers, 18.8k citations indexed

About

Kevin Karplus is a scholar working on Molecular Biology, Hardware and Architecture and Artificial Intelligence. According to data from OpenAlex, Kevin Karplus has authored 83 papers receiving a total of 18.8k indexed citations (citations by other indexed papers that have themselves been cited), including 51 papers in Molecular Biology, 16 papers in Hardware and Architecture and 15 papers in Artificial Intelligence. Recurrent topics in Kevin Karplus's work include Protein Structure and Dynamics (25 papers), Machine Learning in Bioinformatics (20 papers) and Genomics and Phylogenetic Studies (18 papers). Kevin Karplus is often cited by papers focused on Protein Structure and Dynamics (25 papers), Machine Learning in Bioinformatics (20 papers) and Genomics and Phylogenetic Studies (18 papers). Kevin Karplus collaborates with scholars based in United States, United Kingdom and Germany. Kevin Karplus's co-authors include Toby J. Gibson, Weizhong Li, Michael Remmert, Hamish McWilliam, Julie Thompson, Johannes Söding, Rodrigo López, Fabian Sievers, Desmond G. Higgins and Andreas Wilm and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Nature Biotechnology.

In The Last Decade

Kevin Karplus

80 papers receiving 18.4k citations

Hit Papers

Fast, scalable generation of high‐quality prot... 1998 2026 2007 2016 2011 2009 2001 1998 2012 2.5k 5.0k 7.5k 10.0k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kevin Karplus United States 36 12.5k 2.3k 1.9k 1.7k 1.7k 83 18.8k
Lawrence A. Kelley United Kingdom 22 10.0k 0.8× 2.6k 1.1× 1.9k 1.0× 1.2k 0.7× 1.4k 0.8× 40 15.3k
Stephen H. Bryant United States 55 14.1k 1.1× 2.4k 1.1× 1.6k 0.8× 2.9k 1.7× 1.2k 0.7× 156 21.5k
William R. Pearson United States 44 16.4k 1.3× 3.2k 1.4× 3.0k 1.6× 1.2k 0.7× 2.0k 1.2× 100 22.6k
Lorenza Bordoli Switzerland 20 15.3k 1.2× 3.2k 1.4× 2.3k 1.2× 1.7k 1.0× 1.3k 0.8× 23 24.1k
Denis F. Hochstrasser Switzerland 65 14.3k 1.1× 1.9k 0.8× 1.5k 0.8× 890 0.5× 896 0.5× 231 21.9k
Michael Remmert Germany 11 9.1k 0.7× 2.2k 0.9× 1.7k 0.9× 957 0.6× 1.6k 1.0× 14 14.0k
Jack Kyte United States 19 15.6k 1.2× 2.2k 0.9× 2.7k 1.4× 1.5k 0.9× 1.3k 0.8× 34 21.8k
Roman L. Tatusov United States 28 11.7k 0.9× 2.8k 1.2× 2.5k 1.3× 797 0.5× 3.3k 2.0× 38 16.6k
Michael Y. Galperin United States 70 12.6k 1.0× 2.2k 0.9× 3.6k 1.9× 1.1k 0.6× 3.1k 1.9× 209 17.9k
Manuel C. Peitsch Switzerland 56 14.0k 1.1× 2.1k 0.9× 2.0k 1.1× 1.6k 0.9× 743 0.4× 291 23.6k

Countries citing papers authored by Kevin Karplus

Since Specialization
Citations

This map shows the geographic impact of Kevin Karplus'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 Kevin Karplus with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kevin Karplus more than expected).

Fields of papers citing papers by Kevin Karplus

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kevin Karplus. 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 Kevin Karplus. The network helps show where Kevin Karplus may publish in the future.

Co-authorship network of co-authors of Kevin Karplus

This figure shows the co-authorship network connecting the top 25 collaborators of Kevin Karplus. A scholar is included among the top collaborators of Kevin Karplus 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 Kevin Karplus. Kevin Karplus 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.
Karplus, Kevin, et al.. (2023). Altering under-represented DNA sequences elevates bacterial transformation efficiency. mBio. 14(6). e0210523–e0210523. 4 indexed citations
2.
Sievers, Fabian, Andreas Wilm, Toby J. Gibson, et al.. (2011). Fast, scalable generation of high‐quality protein multiple sequence alignments using Clustal Omega. Molecular Systems Biology. 7(1). 539–539. 11202 indexed citations breakdown →
3.
Madera, Martin, et al.. (2010). Improving protein secondary structure prediction using a simplek-mer model. Bioinformatics. 26(5). 596–602. 29 indexed citations
4.
Krieger, Elmar, Keehyoung Joo, Jinwoo Lee, et al.. (2009). Improving physical realism, stereochemistry, and side‐chain accuracy in homology modeling: Four approaches that performed well in CASP8. Proteins Structure Function and Bioinformatics. 77(S9). 114–122. 1107 indexed citations breakdown →
5.
Khatib, Firas, Carol A. Rohl, & Kevin Karplus. (2009). Pokefind: a novel topological filter for use with protein structure prediction. Bioinformatics. 25(12). i281–i288. 10 indexed citations
6.
Archie, John G., et al.. (2009). Applying Undertaker to quality assessment. Proteins Structure Function and Bioinformatics. 77(S9). 191–195. 7 indexed citations
7.
Karplus, Kevin, et al.. (2008). Model quality assessment using distance constraints from alignments. Proteins Structure Function and Bioinformatics. 75(3). 540–549. 19 indexed citations
8.
Karplus, Kevin, et al.. (2005). Calibrating E-values for hidden Markov models using reverse-sequence null models. Bioinformatics. 21(22). 4107–4115. 32 indexed citations
9.
Karplus, Kevin, Sol Katzman, Martina Koeva, et al.. (2005). SAM-T04: What is new in protein-structure prediction for CASP6. Proteins Structure Function and Bioinformatics. 61(S7). 135–142. 85 indexed citations
10.
Karchin, Rachel, Melissa Cline, & Kevin Karplus. (2004). Evaluation of local structure alphabets based on residue burial. Proteins Structure Function and Bioinformatics. 55(3). 508–518. 54 indexed citations
11.
Karplus, Kevin, Rachel Karchin, Jenny Draper, et al.. (2003). Combining local-structure, fold-recognition, and new fold methods for protein structure prediction. Proteins Structure Function and Bioinformatics. 53(S6). 491–496. 235 indexed citations
12.
Karplus, Kevin, et al.. (1998). Kestrel: A Programmable Array for Sequence Analysis. The Journal of VLSI Signal Processing Systems for Signal Image and Video Technology. 19(2). 115–126. 28 indexed citations
13.
Gaasterland, Terry, Peter D. Karp, Kevin Karplus, et al.. (1997). Proceedings of the 5th International Conference on Intelligent Systems for Molecular Biology. 43 indexed citations
14.
Bücher, Philipp, et al.. (1996). A flexible search technique based on generalized profiles.. IRIS. 24 indexed citations
15.
Karplus, Kevin. (1994). USING MARKOV MODELS AND HIDDEN MARKOV MODELS TO FIND REPETITIVE EXTRAGENIC PALINDROMIC SEQUENCES IN ESCHERICHIA COLI. 104(2703). 376–376. 3 indexed citations
16.
Karplus, Kevin, et al.. (1991). A semi-systolic decoder for the PDSC-73 error-correcting code. Discrete Applied Mathematics. 33(1-3). 109–128. 7 indexed citations
17.
Karplus, Kevin & Alexandru Nicolau. (1986). Getting High Performance with Slow Memory.. 248–253. 3 indexed citations
18.
Karplus, Kevin. (1986). Exclusion constraints: a new application of graph algorithms to VLSI design. 123–139. 5 indexed citations
19.
Karplus, Kevin & Alexandru Nicolau. (1986). A compiler-driven supercomputer. Applied Mathematics and Computation. 20(1-2). 95–110. 1 indexed citations
20.
Karplus, Kevin & A. Nicolau. (1985). Efficient hardware for multiway jumps and pre-fetches. ACM SIGMICRO newsletter/SIGMICRO newsletter/SIGMICRO, TCMICRO newsletter. 16(4). 11–18. 8 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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