Standout Papers

Opportunities and challenges for transcriptome-wide association studies 2018 2026 2020 2023 475
  1. Opportunities and challenges for transcriptome-wide association studies (2019)
    Michael Wainberg, Nasa Sinnott-Armstrong et al. Nature Genetics
  2. Deep learning in biomedicine (2018)
    Michael Wainberg, Daniele Merico et al. Nature Biotechnology

Immediate Impact

11 by Nobel laureates 39 from Science/Nature 55 standout
Sub-graph 1 of 22

Citing Papers

Mass-spectrometry-based proteomics: from single cells to clinical applications
2025 StandoutNature
Trans-ancestry genome-wide study of depression identifies 697 associations implicating cell types and pharmacotherapies
2025 Standout
4 intermediate papers

Works of Michael Wainberg being referenced

Predicting causal genes from psychiatric genome-wide association studies using high-level etiological knowledge
2022
Opportunities and challenges for transcriptome-wide association studies
2019 Standout
and 1 more

Author Peers

Author Last Decade Papers Cites
Michael Wainberg 795 397 126 210 40 2.1k
Alessandro Tonacci 467 184 261 240 135 2.9k
Taketoshi Mori 519 231 159 58 244 3.0k
Juhyun Kim 960 241 201 172 98 2.9k
Jue Wang 409 96 336 247 127 2.8k
John W. Cole 308 207 285 340 100 2.8k
Ling Liu 717 90 191 484 118 2.4k
Sijian Wang 1179 248 199 50 86 2.6k
Huiru Zheng 636 106 67 153 192 2.7k
Sebastian Möller 329 74 397 291 183 2.8k
Kush Kapur 467 265 429 428 96 2.5k

All Works

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2026