Mark A. DePristo

80.7k total citations · 8 hit papers
23 papers, 43.4k 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 23 papers receiving a total of 43.4k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 10 papers in Genetics and 5 papers in Materials Chemistry. Recurrent topics in Mark A. DePristo's work include Genomics and Phylogenetic Studies (10 papers), Genomics and Rare Diseases (7 papers) and Protein Structure and Dynamics (6 papers). Mark A. DePristo is often cited by papers focused on Genomics and Phylogenetic Studies (10 papers), Genomics and Rare Diseases (7 papers) and Protein Structure and Dynamics (6 papers). Mark A. DePristo collaborates with scholars based in United States, United Kingdom and Denmark. Mark A. DePristo's co-authors include Eric Banks, Stacey Gabriel, Kiran Garimella, David Altshuler, Kristian Cibulskis, Aaron McKenna, Mark J. Daly, Andrey Sivachenko, Andrew Kernytsky and Matthew G. Hanna and has published in prestigious journals such as Proceedings of the National Academy of Sciences, JAMA and Nature Medicine.

In The Last Decade

Mark A. DePristo

23 papers receiving 43.0k citations

Hit Papers

5 papers align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

The Genome Analysis Toolkit: A MapReduce framework for analyzing next-generation DNA sequencing data

2010 17.4k citations Aaron McKenna, Matthew G. Hanna et al. Genome Research profile →
The variant call format and VCFtools

2011 9.9k citations Petr Danecek, Adam Auton et al. Bioinformatics profile →
A framework for variation discovery and genotyping using next-generation DNA sequencing data

2011 7.3k citations Mark A. DePristo, Eric Banks et al. Nature Genetics profile →
From FastQ Data to High‐Confidence Variant Calls: The Genome Analysis Toolkit Best Practices Pipeline

2013 4.3k citations Geraldine Van Der Auwera, Mauricio O. Carneiro et al. Current Protocols in Bioinformatics profile →
A guide to deep learning in healthcare

2018 2.4k citations Andre Esteva, Bharath Ramsundar et al. Nature Medicine profile →
A universal SNP and small-indel variant caller using deep neural networks

2018 757 citations Ryan Poplin, Pi-Chuan Chang et al. Nature Biotechnology profile →
Simultaneous determination of protein structure and dynamics

2005 582 citations Kresten Lindorff‐Larsen, Robert B. Best et al. Nature Cell Biology profile →
Using deep learning to annotate the protein universe

2022 164 citations Maxwell L. Bileschi, David Belanger et al. Nature Biotechnology profile →

Peers

Mark A. DePristo

GENET

ECOLO

Eric Banks United States

Tim Fennell United States

Alec Wysoker United States

Nils Homer United States

Robert E. Handsaker United States

Jue Ruan China

Gábor Marth United States

Kiran Garimella United States

David Altshuler United States

Steve Rozen Singapore

Eric Banks United States

Mark A. DePristo

18.6k ×0.9

18.3k ×1.0

GENET

7.9k ×1.0

5.3k ×1.0

3.0k ×1.0

ECOLO

Citations per year, relative to Mark A. DePristo Mark A. DePristo (= 1×) peers Eric Banks

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

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Bileschi, Maxwell L., David Belanger, Drew Bryant, et al.. (2022). Using deep learning to annotate the protein universe. Nature Biotechnology. 40(6). 932–937. 164 indexed citations breakdown →

Poplin, Ryan, Justin M. Zook, & Mark A. DePristo. (2021). Challenges of Accuracy in Germline Clinical Sequencing Data. JAMA. 326(3). 268–268. 5 indexed citations

Esteva, Andre, Bharath Ramsundar, Volodymyr Kuleshov, et al.. (2018). A guide to deep learning in healthcare. Nature Medicine. 25(1). 24–29. 2350 indexed citations breakdown →

Greenside, Peyton, Justin M. Zook, Marc Salit, et al.. (2018). CrowdVariant: a crowdsourcing approach to classify copy number variants. PubMed. 24. 224–235. 2 indexed citations

Poplin, Ryan, Pi-Chuan Chang, David H. Alexander, et al.. (2018). A universal SNP and small-indel variant caller using deep neural networks. Nature Biotechnology. 36(10). 983–987. 757 indexed citations breakdown →

Telenti, Amalio, Christoph Lippert, Pi-Chuan Chang, & Mark A. DePristo. (2018). Deep learning of genomic variation and regulatory network data. Human Molecular Genetics. 27(Supplement_R1). R63–R71. 46 indexed citations

Francioli, Laurent C., Kiran Garimella, Menachem Fromer, et al.. (2016). A framework for the detection of de novo mutations in family-based sequencing data. European Journal of Human Genetics. 25(2). 227–233. 16 indexed citations

Auwera, Geraldine Van Der, Mauricio O. Carneiro, Christopher Hartl, et al.. (2013). From FastQ Data to High‐Confidence Variant Calls: The Genome Analysis Toolkit Best Practices Pipeline. Current Protocols in Bioinformatics. 43(1). 11.10.1–11.10.33. 4252 indexed citations breakdown →

Carneiro, Mauricio O., Carsten Russ, Michael Ross, et al.. (2012). Pacific biosciences sequencing technology for genotyping and variation discovery in human data. BMC Genomics. 13(1). 375–375. 166 indexed citations

10.

DePristo, Mark A., Eric Banks, Ryan Poplin, et al.. (2011). A framework for variation discovery and genotyping using next-generation DNA sequencing data. Nature Genetics. 43(5). 491–498. 7268 indexed citations breakdown →

11.

Danecek, Petr, Adam Auton, Gonçalo R. Abecasis, et al.. (2011). The variant call format and VCFtools. Bioinformatics. 27(15). 2156–2158. 9936 indexed citations breakdown →

12.

McKenna, Aaron, Matthew G. Hanna, Eric Banks, et al.. (2010). The Genome Analysis Toolkit: A MapReduce framework for analyzing next-generation DNA sequencing data. Genome Research. 20(9). 1297–1303. 17384 indexed citations breakdown →

13.

Zilversmit, Martine, Sarah K. Volkman, Mark A. DePristo, et al.. (2010). Low-Complexity Regions in Plasmodium falciparum: Missing Links in the Evolution of an Extreme Genome. Molecular Biology and Evolution. 27(9). 2198–2209. 51 indexed citations

14.

DePristo, Mark A.. (2007). The subtle benefits of being promiscuous: Adaptive evolution potentiated by enzyme promiscuity. PubMed. 1(2). 94–98. 35 indexed citations

15.

Bakker, Paul IW de, Nicholas Furnham, Tom L. Blundell, & Mark A. DePristo. (2006). Conformer generation under restraints. Current Opinion in Structural Biology. 16(2). 160–165. 18 indexed citations

16.

Lindorff‐Larsen, Kresten, Robert B. Best, Mark A. DePristo, Christopher M. Dobson, & Michele Vendruscolo. (2005). Simultaneous determination of protein structure and dynamics. Nature Cell Biology. 433(7022). 128–132. 582 indexed citations breakdown →

17.

DePristo, Mark A., Paul I. W. de Bakker, Reshma Shetty, & Tom L. Blundell. (2003). Discrete restraint‐based protein modeling and the Cα‐trace problem. Protein Science. 12(9). 2032–2046. 20 indexed citations

18.

DePristo, Mark A., Paul I. W. de Bakker, Simon C. Lovell, & Tom L. Blundell. (2003). Ab initio construction of polypeptide fragments: Efficient generation of accurate, representative ensembles. Proteins Structure Function and Bioinformatics. 51(1). 41–55. 111 indexed citations

19.

Shetty, Reshma, Paul I. W. de Bakker, Mark A. DePristo, & Tom L. Blundell. (2003). Advantages of fine-grained side chain conformer libraries. Protein Engineering Design and Selection. 16(12). 963–969. 25 indexed citations

20.

DePristo, Mark A., et al.. (2000). being-in-the-world. 5 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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