Kevin Karplus
- Molecular Biology top 0.2%
- Protein Structure and Dynamics 25
- Machine Learning in Bioinformatics 20
- Genomics and Phylogenetic Studies 18
- RNA and protein synthesis mechanisms 13
- Endocrinology top 0.5%
- Biotechnology top 0.5%
- Molecular Medicine top 1%
- Genetics top 0.5%
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- Low-power high-performance VLSI design 10
- VLSI and FPGA Design Techniques 9
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- Enzyme Structure and Function 9
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- Algorithms and Data Compression 8
- Co-authors
- Hamish McWilliamFabian SieversToby J. GibsonMichael RemmertWeizhong LiRodrigo LópezDesmond G. HigginsJulie Thompson
- Journals
- Proteins Structure Function and Bioinformatics (17 papers)Bioinformatics (12 papers)Computer applications in the biosciences (2 papers)
- Partner nations
- United StatesUnited KingdomDenmark
In The Last Decade
Kevin Karplus
80 papers receiving 18.4k citations
Hit Papers
Peers
Comparison fields: 5 of 195
- Molecular Biology 12.5k
- Endocrinology 589
- Biotechnology 786
- Molecular Medicine 374
- Genetics 1.9k
Countries citing papers authored by Kevin Karplus
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
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
The 25 scholars most cited alongside Kevin Karplus, 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 | 2023 | 4 | |
| 2 | 2012 | 7 | |
| 3 | Improving physical realism, stereochemistry, and side‐chain accuracy in homology modeling: Four approaches that performed well in CASP8breakdown → | 2009 | 1107 |
| 4 | 2009 | 7 | |
| 5 | 2008 | 19 | |
| 6 | 2005 | 32 | |
| 7 | 2004 | 54 | |
| 8 | 2003 | 235 | |
| 9 | 2002 | 44 | |
| 10 | 2002 | 219 | |
| 11 | Assignment of homology to genome sequences using a library of hidden Markov models that represent all proteins of known structurebreakdown → | 2001 | 962 |
| 12 | 2001 | 102 | |
| 13 | 1999 | 123 | |
| 14 | Hidden Markov models for detecting remote protein homologies.breakdown → | 1998 | 861 |
| 15 | 1997 | 67 | |
| 16 | A flexible search technique based on generalized profiles. | 1996 | 24 |
| 17 | 1996 | 246 | |
| 18 | 1991 | 7 | |
| 19 | Exclusion constraints: a new application of graph algorithms to VLSI design | 1986 | 5 |
| 20 | Getting High Performance with Slow Memory. | 1986 | 3 |
About Kevin Karplus
Kevin Karplus is a scholar working on Hardware and Architecture, Molecular Biology and Artificial Intelligence, having authored 83 papers that have together received 18.8k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (25 papers), Machine Learning in Bioinformatics (20 papers), Genomics and Phylogenetic Studies (18 papers), RNA and protein synthesis mechanisms (13 papers), Low-power high-performance VLSI design (10 papers), Enzyme Structure and Function (9 papers), VLSI and FPGA Design Techniques (9 papers) and Algorithms and Data Compression (8 papers). The work is most often cited by research in Molecular Biology (12.5k citations), Endocrinology (589 citations) and Biotechnology (786 citations). Kevin Karplus has collaborated with scholars based in United States, United Kingdom and Denmark. Frequent co-authors include Hamish McWilliam, Fabian Sievers, Toby J. Gibson, Michael Remmert, Weizhong Li, Rodrigo López, Desmond G. Higgins, Julie Thompson, Johannes Söding and Andreas Wilm. Their work appears in journals such as Proteins Structure Function and Bioinformatics, Bioinformatics, Computer applications in the biosciences, Journal of Bacteriology and mBio.
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.