Eric Banks

152.6k total citations · 5 hit papers
28 papers, 40.4k citations indexed

About

Eric Banks is a scholar working on Molecular Biology, Genetics and Cancer Research. According to data from OpenAlex, Eric Banks has authored 28 papers receiving a total of 40.4k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Molecular Biology, 14 papers in Genetics and 6 papers in Cancer Research. Recurrent topics in Eric Banks's work include Genomics and Phylogenetic Studies (11 papers), Genomics and Rare Diseases (10 papers) and Genomic variations and chromosomal abnormalities (6 papers). Eric Banks is often cited by papers focused on Genomics and Phylogenetic Studies (11 papers), Genomics and Rare Diseases (10 papers) and Genomic variations and chromosomal abnormalities (6 papers). Eric Banks collaborates with scholars based in United States, United Kingdom and Netherlands. Eric Banks's co-authors include Mark A. DePristo, Kiran Garimella, Stacey Gabriel, David Altshuler, Kristian Cibulskis, Aaron McKenna, Mark J. Daly, Andrew Kernytsky, Andrey Sivachenko and Matthew G. Hanna and has published in prestigious journals such as Nature Communications, Nature Genetics and Nature Biotechnology.

In The Last Decade

Eric Banks

28 papers receiving 40.0k citations

Hit Papers

The Genome Analysis Toolkit: A MapReduce framework for an... 2010 2026 2015 2020 2010 2011 2011 2013 2023 5.0k 10.0k 15.0k
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.

  1. 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 →
  2. The variant call format and VCFtools
    2011 9.9k citations Petr Danecek, Adam Auton et al. Bioinformatics profile →
  3. 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 →
  4. 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 →
  5. Unsupervised removal of systematic background noise from droplet-based single-cell experiments using CellBender
    2023 218 citations Eric Banks, Anthony Philippakis et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Eric Banks United States 20 18.6k 18.3k 7.9k 5.3k 3.0k 28 40.4k
Mark A. DePristo United States 18 19.7k 1.1× 18.1k 1.0× 8.0k 1.0× 5.3k 1.0× 3.0k 1.0× 23 43.4k
Tim Fennell United States 8 26.6k 1.4× 14.3k 0.8× 10.0k 1.3× 5.3k 1.0× 4.7k 1.6× 8 47.2k
Nils Homer United States 11 23.6k 1.3× 11.6k 0.6× 9.2k 1.2× 4.3k 0.8× 4.4k 1.5× 16 41.5k
Alec Wysoker United States 8 24.3k 1.3× 11.6k 0.6× 9.1k 1.1× 4.3k 0.8× 4.3k 1.4× 10 43.0k
Kiran Garimella United States 20 14.5k 0.8× 12.3k 0.7× 5.1k 0.6× 4.4k 0.8× 1.7k 0.6× 52 30.1k
Jue Ruan China 21 27.6k 1.5× 12.6k 0.7× 11.0k 1.4× 4.4k 0.8× 5.3k 1.8× 65 46.4k
Robert E. Handsaker United States 23 31.4k 1.7× 21.2k 1.2× 12.4k 1.6× 5.8k 1.1× 5.6k 1.9× 28 59.7k
Gábor Marth United States 34 32.6k 1.8× 21.3k 1.2× 13.2k 1.7× 5.9k 1.1× 6.1k 2.1× 74 60.2k
Gil McVean United Kingdom 62 15.1k 0.8× 18.6k 1.0× 5.5k 0.7× 2.4k 0.5× 2.2k 0.8× 127 36.4k
Steve Rozen Singapore 53 16.6k 0.9× 10.3k 0.6× 8.2k 1.0× 2.2k 0.4× 3.1k 1.0× 117 34.0k

Countries citing papers authored by Eric Banks

Since Specialization
Citations

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

Fields of papers citing papers by Eric Banks

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eric Banks

This figure shows the co-authorship network connecting the top 25 collaborators of Eric Banks. A scholar is included among the top collaborators of Eric Banks 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 Eric Banks. Eric Banks 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.
Solovyov, Alexander, Julie M. Behr, David Hoyos, et al.. (2025). Pan-cancer multi-omic model of LINE-1 activity reveals locus heterogeneity of retrotransposition efficiency. Nature Communications. 16(1). 2049–2049. 3 indexed citations
2.
Gragoudas, Evangelos S., Anne Marie Lane, Mary E. Aronow, et al.. (2024). Detection of Copy-Number Variation in Circulating Cell-Free DNA in Patients With Uveal Melanoma. JCO Precision Oncology. 8(8). e2300368–e2300368. 3 indexed citations
3.
Babadi, Mehrtash, Jack Fu, Samuel K. Lee, et al.. (2023). GATK-gCNV enables the discovery of rare copy number variants from exome sequencing data. Nature Genetics. 55(9). 1589–1597. 35 indexed citations
4.
Al’Khafaji, Aziz, Jonathan T. Smith, Kiran Garimella, et al.. (2023). High-throughput RNA isoform sequencing using programmed cDNA concatenation. Nature Biotechnology. 42(4). 582–586. 81 indexed citations
5.
Laricchia, Kristen M., Nicole J. Lake, Nicholas A. Watts, et al.. (2022). Mitochondrial DNA variation across 56,434 individuals in gnomAD. Genome Research. 32(3). 569–582. 53 indexed citations
6.
Shand, Megan, José Soto, Lee Lichtenstein, et al.. (2020). A validated lineage-derived somatic truth data set enables benchmarking in cancer genome analysis. Communications Biology. 3(1). 744–744. 1 indexed citations
7.
Regier, Allison, Yossi Farjoun, David E. Larson, et al.. (2018). Functional equivalence of genome sequencing analysis pipelines enables harmonized variant calling across human genetics projects. Nature Communications. 9(1). 4038–4038. 73 indexed citations
8.
Castel, Stephane E., Ami Levy‐Moonshine, Pejman Mohammadi, Eric Banks, & Tuuli Lappalainen. (2015). Tools and best practices for data processing in allelic expression analysis. Genome biology. 16(1). 195–195. 201 indexed citations
9.
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 →
10.
Fromer, Menachem, Jennifer L. Moran, Kimberly Chambert, et al.. (2012). Discovery and Statistical Genotyping of Copy-Number Variation from Whole-Exome Sequencing Depth. The American Journal of Human Genetics. 91(4). 597–607. 370 indexed citations
11.
Williams, Zev, Eric Banks, Mario Bkassiny, et al.. (2012). Reducing multiples: a mathematical formula that accurately predicts rates of singletons, twins, and higher-order multiples in women undergoing in vitro fertilization. Fertility and Sterility. 98(6). 1474–1480.e2. 7 indexed citations
12.
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
13.
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 →
14.
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
15.
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 →
16.
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
17.
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 →
18.
Banks, Eric, Elena Nabieva, Bernard Chazelle, & Mona Singh. (2008). Organization of Physical Interactomes as Uncovered by Network Schemas. PLoS Computational Biology. 4(10). e1000203–e1000203. 11 indexed citations
19.
Banks, Eric, Elena Nabieva, Ryan S. Peterson, & Mona Singh. (2008). NetGrep: fast network schema searches in interactomes. Genome biology. 9(9). R138–R138. 25 indexed citations
20.
Fitzcharles, Mary‐Ann, S Düby, Robert Waddell, Eric Banks, & Jacob Karsh. (1984). Limitation of joint mobility (cheiroarthropathy) in adult noninsulin-dependent diabetic patients.. Annals of the Rheumatic Diseases. 43(2). 251–254. 68 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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