Standout Papers

Predicting Splicing from Primary Sequence with Deep Learning 2019 2026 2021 2023 1.2k
  1. Predicting Splicing from Primary Sequence with Deep Learning (2019)
    Kishore Jaganathan, Sofia Kyriazopoulou Panagiotopoulou et al. Cell
  2. Computationally efficient whole-genome regression for quantitative and binary traits (2021)
    Joelle Mbatchou, Leland Barnard et al. Nature Genetics

Immediate Impact

3 by Nobel laureates 21 from Science/Nature 67 standout
Sub-graph 1 of 21

Citing Papers

A foundation model of transcription across human cell types
2025 StandoutNature
A comprehensive spatio-cellular map of the human hypothalamus
2025 StandoutNature
2 intermediate papers

Works of Jack A. Kosmicki being referenced

Predicting Splicing from Primary Sequence with Deep Learning
2019 Standout
Predicting the clinical impact of human mutation with deep neural networks
2018

Author Peers

Author Last Decade Papers Cites
Jack A. Kosmicki 1251 477 1312 20 2.7k
Niklas Krumm 1268 677 854 22 2.0k
Shaun Purcell 1187 292 625 20 3.4k
Milind Mahajan 686 550 1124 41 2.3k
John Harrington 399 411 1949 55 3.5k
Lee M Butcher 971 408 1544 36 2.6k
Idan Menashe 721 689 730 84 2.4k
Susan L. Connors 394 691 1036 36 2.6k
Amélie Piton 1225 462 1344 48 2.5k
Kyoko Watanabe 1827 315 1278 33 3.6k
Shing Wan Choi 1182 197 620 23 2.4k

All Works

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2026