Standout Papers
- A framework for variation discovery and genotyping using next-generation DNA sequencing data (2011)
- From FastQ Data to High‐Confidence Variant Calls: The Genome Analysis Toolkit Best Practices Pipeline (2013)
- Prediction of cardiovascular risk factors from retinal fundus photographs via deep learning (2018)
- A universal SNP and small-indel variant caller using deep neural networks (2018)
- In Silico Labeling: Predicting Fluorescent Labels in Unlabeled Images (2018)
- Identifying viruses from metagenomic data using deep learning (2020)
Immediate Impact
11 by Nobel laureates 35 from Science/Nature 59 standout
Citing Papers
Accurate proteome-wide missense variant effect prediction with AlphaMissense
2023 StandoutScienceNobel
Y chromosome loss in cancer drives growth by evasion of adaptive immunity
2023 StandoutNature
Works of Ryan Poplin being referenced
A framework for variation discovery and genotyping using next-generation DNA sequencing data
2011 Standout
Author Peers
| Author | Last Decade | Papers | Cites | ||||
|---|---|---|---|---|---|---|---|
| Ryan Poplin | 6517 | 5156 | 1762 | 1993 | 11 | 13.6k | |
| Christopher Hartl | 6453 | 5345 | 1575 | 1956 | 14 | 12.4k | |
| Guillermo del Angel | 5712 | 4843 | 1557 | 1832 | 13 | 11.4k | |
| D.B. Bender | 6562 | 12535 | 2296 | 1666 | 33 | 23.9k | |
| Pamela Sklar | 8065 | 14936 | 2467 | 1865 | 23 | 25.6k | |
| Ben Fry | 8758 | 7001 | 1318 | 1566 | 27 | 19.4k | |
| Anushya Muruganujan | 7851 | 2065 | 1308 | 1541 | 16 | 12.5k | |
| Stephen J. Scharf | 11399 | 4760 | 1828 | 827 | 12 | 22.4k | |
| Matthew G. Hanna | 8259 | 6887 | 3361 | 2665 | 68 | 19.4k | |
| H. Butler | 20524 | 3644 | 3309 | 3188 | 10 | 29.1k | |
| Laurie Issel‐Tarver | 21223 | 3994 | 3357 | 3199 | 10 | 30.0k |
All Works
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