Ryan E. Poplin
Impact in
- Genetics top 0.01%
- Genetic Associations and Epidemiology
- Genomics and Rare Diseases
- Genomic variations and chromosomal abnormalities
- Genetics and Neurodevelopmental Disorders
- Genetic Mapping and Diversity in Plants and Animals
- Genetic diversity and population structure
- Cancer Research top 0.2%
- Cancer Genomics and Diagnostics
Papers in
- Genetics 20
- Genomics and Rare Diseases 15
- Genetic Associations and Epidemiology 11
- Genomic variations and chromosomal abnormalities 7
- Nutrition, Genetics, and Disease 3
- Genetic Mapping and Diversity in Plants and Animals 3
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- Genomics and Phylogenetic Studies 5
- Co-authors
- Mark A. DePristo (6 shared papers)Eric Banks (3 shared papers)David Altshuler (2 shared papers)Stacey L. Gabriel (2 shared papers)Kiran V. Garimella (2 shared papers)Guillermo del Angel (2 shared papers)Christopher Hartl (2 shared papers)Tim J. Fennell (1 shared paper)
- Journals
- Nature (6 papers)Proceedings of the National Academy of Sciences (2 papers)Current Protocols in Bioinformatics (1 paper)Cell (1 paper)ACS Synthetic Biology (1 paper)
- Partner nations
- United StatesUnited KingdomChina
In The Last Decade
Ryan E. Poplin
30 papers receiving 53.5k citations
Ryan E. Poplin's Hit Papers
Peers
Comparison fields: 5 of 215
- Genetics 22.6k
- Cancer Research 5.3k
- Molecular Biology 22.2k
- Health Informatics 239
- Genetics 1.3k
Countries citing papers authored by Ryan E. Poplin
This map shows the geographic impact of Ryan E. Poplin'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 Ryan E. Poplin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ryan E. Poplin more than expected).
Fields of papers citing papers by Ryan E. Poplin
This network shows the impact of papers produced by Ryan E. Poplin. 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 Ryan E. Poplin. The network helps show where Ryan E. Poplin may publish in the future.
Co-authors
The 25 scholars most cited alongside Ryan E. Poplin, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | A global reference for human genetic variation Hit paper breakdown → | 2015 | 12573 |
| 2 | A framework for variation discovery and genotyping using next-generation DNA sequencing data Hit paper breakdown → | 2011 | 8747 |
| 3 | Analysis of protein-coding genetic variation in 60,706 humans Hit paper breakdown → | 2016 | 7751 |
| 4 | A map of human genome variation from population-scale sequencing Hit paper breakdown → | 2010 | 6317 |
| 5 | An integrated map of genetic variation from 1,092 human genomes Hit paper breakdown → | 2012 | 6211 |
| 6 | From FastQ Data to High‐Confidence Variant Calls: The Genome Analysis Toolkit Best Practices Pipeline Hit paper breakdown → | 2013 | 5095 |
| 7 | Patterns and rates of exonic de novo mutations in autism spectrum disorders Hit paper breakdown → | 2012 | 1378 |
| 8 | Prediction of cardiovascular risk factors from retinal fundus photographs via deep learning Hit paper breakdown → | 2018 | 1296 |
| 9 | A universal SNP and small-indel variant caller using deep neural networks Hit paper breakdown → | 2018 | 1009 |
| 10 | The genetic architecture of type 2 diabetes Hit paper breakdown → | 2016 | 839 |
| 11 | A global reference for human genetic variation Hit paper breakdown → | 2015 | 476 |
| 12 | Demographic history and rare allele sharing among human populations Hit paper breakdown → | 2011 | 475 |
| 13 | Identifying viruses from metagenomic data using deep learning Hit paper breakdown → | 2020 | 449 |
| 14 | In Silico Labeling: Predicting Fluorescent Labels in Unlabeled Images Hit paper breakdown → | 2018 | 442 |
| 15 | 2010 | 416 | |
| 16 | 2014 | 321 | |
| 17 | 2015 | 220 | |
| 18 | 2014 | 144 | |
| 19 | 2013 | 108 | |
| 20 | 2017 | 41 |
About Ryan E. Poplin
Ryan E. Poplin is a scholar working on Genetics, Molecular Biology, Cancer Research, Cognitive Neuroscience and Cardiology and Cardiovascular Medicine, having authored 30 papers that have together received 54.4k indexed citations. Recurring topics across this work include Genomics and Rare Diseases (15 papers), Genetic Associations and Epidemiology (11 papers), Genomic variations and chromosomal abnormalities (7 papers), Genomics and Phylogenetic Studies (5 papers), Nutrition, Genetics, and Disease (3 papers), Genetic Mapping and Diversity in Plants and Animals (3 papers), Cancer Genomics and Diagnostics (2 papers) and Cardiovascular Function and Risk Factors (2 papers). The work is most often cited by research in Genetics (22.6k citations), Cancer Research (5.3k citations), Molecular Biology (22.2k citations), Health Informatics (239 citations) and Genetics (1.3k citations). Ryan E. Poplin has collaborated with scholars based in United States, United Kingdom and China. Frequent co-authors include Mark A. DePristo, Eric Banks, David Altshuler, Stacey L. Gabriel, Kiran V. Garimella, Guillermo del Angel, Christopher Hartl, Tim J. Fennell, Anthony Philippakis and Manuel A. Rivas. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences, Current Protocols in Bioinformatics, Cell and ACS Synthetic 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.