Eric Banks
- Genetics top 0.01%
- Genomics and Rare Diseases 10
- Genomic variations and chromosomal abnormalities 6
- Genetic Associations and Epidemiology 3
- Cancer Research top 0.1%
- Cancer Genomics and Diagnostics 5
- Molecular Biology top 0.1%
- Genomics and Phylogenetic Studies 11
- Gene expression and cancer classification 4
- Single-cell and spatial transcriptomics 2
- Machine Learning in Bioinformatics 2
- Horticulture top 0.5%
- Plant Science top 0.05%
- Co-authors
- Mark A. DePristoStacey GabrielKiran GarimellaDavid AltshulerKristian CibulskisAaron McKennaMark J. DalyAndrew Kernytsky
- Partner nations
- United StatesUnited KingdomNetherlands
In The Last Decade
Eric Banks
28 papers receiving 40.0k citations
Hit Papers
Peers
Comparison fields: 5 of 192
- Genetics 18.3k
- Cancer Research 5.3k
- Molecular Biology 18.6k
- Horticulture 219
- Plant Science 7.9k
Countries citing papers authored by Eric Banks
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
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
The 25 scholars most cited alongside Eric Banks, 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 | 2025 | 3 | |
| 2 | 2023 | 35 | |
| 3 | 2023 | 81 | |
| 4 | 2022 | 53 | |
| 5 | 2020 | 1 | |
| 6 | 2018 | 73 | |
| 7 | 2015 | 201 | |
| 8 | 2015 | 9 | |
| 9 | From FastQ Data to High‐Confidence Variant Calls: The Genome Analysis Toolkit Best Practices Pipelinebreakdown → | 2013 | 4252 |
| 10 | 2012 | 370 | |
| 11 | 2012 | 21 | |
| 12 | 2012 | 7 | |
| 13 | 2011 | 110 | |
| 14 | A framework for variation discovery and genotyping using next-generation DNA sequencing databreakdown → | 2011 | 7268 |
| 15 | The variant call format and VCFtoolsbreakdown → | 2011 | 9936 |
| 16 | 2011 | 65 | |
| 17 | The Genome Analysis Toolkit: A MapReduce framework for analyzing next-generation DNA sequencing databreakdown → | 2010 | 17384 |
| 18 | 2008 | 25 | |
| 19 | 2008 | 11 | |
| 20 | 1999 | 20 |
About Eric Banks
Eric Banks is a scholar working on Genetics, Cancer Research and Transplantation, having authored 28 papers that have together received 40.4k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (11 papers), Genomics and Rare Diseases (10 papers), Genomic variations and chromosomal abnormalities (6 papers), Cancer Genomics and Diagnostics (5 papers), Gene expression and cancer classification (4 papers), Genetic Associations and Epidemiology (3 papers), Single-cell and spatial transcriptomics (2 papers) and Machine Learning in Bioinformatics (2 papers). The work is most often cited by research in Genetics (18.3k citations), Cancer Research (5.3k citations) and Molecular Biology (18.6k citations). Eric Banks has collaborated with scholars based in United States, United Kingdom and Netherlands. Frequent co-authors include Mark A. DePristo, Stacey Gabriel, Kiran Garimella, David Altshuler, Kristian Cibulskis, Aaron McKenna, Mark J. Daly, Andrew Kernytsky, Andrey Sivachenko and Matthew G. Hanna. Their work appears in journals such as Nature Genetics, Bioinformatics, Nature Communications, BMC Genomics and PLoS Computational Biology.
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.