Mark A. DePristo

80.8k total citations · 3 hit papers
16 papers, 8.2k citations indexed

About

Mark A. DePristo is a scholar working on Molecular Biology, Genetics and Materials Chemistry. According to data from OpenAlex, Mark A. DePristo has authored 16 papers receiving a total of 8.2k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 9 papers in Genetics and 4 papers in Materials Chemistry. Recurrent topics in Mark A. DePristo's work include Protein Structure and Dynamics (6 papers), Evolution and Genetic Dynamics (4 papers) and RNA and protein synthesis mechanisms (4 papers). Mark A. DePristo is often cited by papers focused on Protein Structure and Dynamics (6 papers), Evolution and Genetic Dynamics (4 papers) and RNA and protein synthesis mechanisms (4 papers). Mark A. DePristo collaborates with scholars based in United States, United Kingdom and Puerto Rico. Mark A. DePristo's co-authors include Daniel L. Hartl, Daniel Weinreich, Michael A. Kohanski, James J. Collins, Nigel F. Delaney, Tom L. Blundell, Paul I. W. de Bakker, Martine Zilversmit, David F. Burke and Robert E. Handsaker and has published in prestigious journals such as Nature, Science and Nature Genetics.

In The Last Decade

Mark A. DePristo

16 papers receiving 8.1k citations

Hit Papers

An integrated map of gene... 2006 2026 2012 2019 2012 2006 2010 1000 2.0k 3.0k 4.0k 5.0k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mark A. DePristo United States 15 4.5k 4.0k 726 525 434 16 8.2k
Noam Shoresh United States 27 4.9k 1.1× 1.9k 0.5× 756 1.0× 306 0.6× 240 0.6× 46 7.5k
Martijn A. Huynen Netherlands 65 10.6k 2.4× 2.5k 0.6× 315 0.4× 487 0.9× 788 1.8× 225 13.2k
Jeffrey H Miller United States 32 5.0k 1.1× 2.9k 0.7× 508 0.7× 112 0.2× 345 0.8× 103 8.5k
Erik van Nimwegen Switzerland 44 6.4k 1.4× 1.6k 0.4× 1.4k 1.9× 451 0.9× 258 0.6× 91 7.8k
Miroslav Radman France 62 10.6k 2.4× 5.0k 1.3× 2.1k 2.8× 200 0.4× 469 1.1× 174 13.9k
Albert Jeltsch Germany 67 14.3k 3.2× 3.3k 0.8× 925 1.3× 376 0.7× 299 0.7× 295 15.6k
Rajinder Kaul United States 39 5.0k 1.1× 2.9k 0.7× 324 0.4× 318 0.6× 449 1.0× 65 7.2k
Alexander Schmidt Switzerland 56 7.6k 1.7× 1.3k 0.3× 569 0.8× 623 1.2× 432 1.0× 171 11.2k
Harris Bernstein United States 39 2.9k 0.6× 1.3k 0.3× 449 0.6× 341 0.6× 454 1.0× 109 5.5k
Maynard V. Olson United States 47 8.7k 1.9× 3.7k 0.9× 288 0.4× 438 0.8× 444 1.0× 95 11.9k

Countries citing papers authored by Mark A. DePristo

Since Specialization
Citations

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

Fields of papers citing papers by Mark A. DePristo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mark A. DePristo. 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 Mark A. DePristo. The network helps show where Mark A. DePristo may publish in the future.

Co-authorship network of co-authors of Mark A. DePristo

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

All Works

16 of 16 papers shown
1.
McVean, Gil, Robert E. Handsaker, Mark A. DePristo, et al.. (2012). An integrated map of genetic variation from 1,092 human genomes. Nature. 491(7422). 56–65. 5167 indexed citations breakdown →
2.
Flannick, Jason, Joshua M. Korn, Pierre Fontanillas, et al.. (2012). Efficiency and Power as a Function of Sequence Coverage, SNP Array Density, and Imputation. PLoS Computational Biology. 8(7). e1002604–e1002604. 21 indexed citations
3.
Erlich, Rachel, Xiaoming Jia, Scott Anderson, et al.. (2011). Next-generation sequencing for HLA typing of class I loci. BMC Genomics. 12(1). 42–42. 110 indexed citations
4.
Çalışkan, Minal, Jessica X. Chong, Lawrence H. Uricchio, et al.. (2011). Exome sequencing reveals a novel mutation for autosomal recessive non-syndromic mental retardation in the TECR gene on chromosome 19p13. Human Molecular Genetics. 20(7). 1285–1289. 78 indexed citations
5.
Shea, Jessica, Vineeta Agarwala, Anthony Philippakis, et al.. (2011). Comparing strategies to fine-map the association of common SNPs at chromosome 9p21 with type 2 diabetes and myocardial infarction. Nature Genetics. 43(8). 801–805. 65 indexed citations
6.
DePristo, Mark A.. (2010). The $1,000 Genome: The Revolution in DNA Sequencing and the New Era of Personalized Medicine. The American Journal of Human Genetics. 87(6). 742–742. 28 indexed citations
7.
Kohanski, Michael A., Mark A. DePristo, & James J. Collins. (2010). Sublethal Antibiotic Treatment Leads to Multidrug Resistance via Radical-Induced Mutagenesis. Molecular Cell. 37(3). 311–320. 757 indexed citations breakdown →
8.
DePristo, Mark A., Lynne Chang, Ronald D. Vale, Shahid Khan, & Karen Lipkow. (2009). Introducing simulated cellular architecture to the quantitative analysis of fluorescent microscopy. Progress in Biophysics and Molecular Biology. 100(1-3). 25–32. 7 indexed citations
9.
DePristo, Mark A., Daniel L. Hartl, & Daniel Weinreich. (2007). Mutational Reversions During Adaptive Protein Evolution. Molecular Biology and Evolution. 24(8). 1608–1610. 40 indexed citations
10.
DePristo, Mark A., Martine Zilversmit, & Daniel L. Hartl. (2006). On the abundance, amino acid composition, and evolutionary dynamics of low-complexity regions in proteins. Gene. 378. 19–30. 94 indexed citations
11.
Furnham, Nicholas, A.S. Dore, Dimitri Y. Chirgadze, et al.. (2006). Knowledge-Based Real-Space Explorations for Low-Resolution Structure Determination. Structure. 14(8). 1313–1320. 25 indexed citations
12.
Weinreich, Daniel, Nigel F. Delaney, Mark A. DePristo, & Daniel L. Hartl. (2006). Darwinian Evolution Can Follow Only Very Few Mutational Paths to Fitter Proteins. Science. 312(5770). 111–114. 996 indexed citations breakdown →
13.
DePristo, Mark A., Daniel Weinreich, & Daniel L. Hartl. (2005). Missense meanderings in sequence space: a biophysical view of protein evolution. Nature Reviews Genetics. 6(9). 678–687. 492 indexed citations
14.
DePristo, Mark A., Paul I. W. de Bakker, Russell J. Johnson, & Tom L. Blundell. (2005). Crystallographic Refinement by Knowledge-Based Exploration of Complex Energy Landscapes. Structure. 13(9). 1311–1319. 36 indexed citations
15.
DePristo, Mark A., Paul I. W. de Bakker, & Tom L. Blundell. (2004). Heterogeneity and Inaccuracy in Protein Structures Solved by X-Ray Crystallography. Structure. 12(5). 831–838. 210 indexed citations
16.
Bakker, Paul I. W. de, Mark A. DePristo, David F. Burke, & Tom L. Blundell. (2003). Ab initio construction of polypeptide fragments: Accuracy of loop decoy discrimination by an all‐atom statistical potential and the AMBER force field with the Generalized Born solvation model. Proteins Structure Function and Bioinformatics. 51(1). 21–40. 113 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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