Standout Papers

Discovering microRNAs from deep sequencing data using miRDeep 2008 2026 2014 2020 964
  1. Discovering microRNAs from deep sequencing data using miRDeep (2008)
    Marc R. Friedländer, Wei Chen et al. Nature Biotechnology
  2. Integrating spatial gene expression and breast tumour morphology via deep learning (2020)
    Bryan He, Ludvig Bergenstråhle et al. Nature Biomedical Engineering

Immediate Impact

6 by Nobel laureates 26 from Science/Nature 76 standout
Sub-graph 1 of 17

Citing Papers

Profiling cell identity and tissue architecture with single-cell and spatial transcriptomics
2024 Standout
Foundation models for generalist medical artificial intelligence
2023 StandoutNature
21 intermediate papers

Works of Jonas Maaskola being referenced

Super-resolved spatial transcriptomics by deep data fusion
2021
Integrating spatial gene expression and breast tumour morphology via deep learning
2020 Standout
and 3 more

Author Peers

Author Last Decade Papers Cites
Jonas Maaskola 1803 1067 182 254 13 2.3k
Fredrik Salmén 1935 499 257 422 15 2.3k
Yangzhou Wang 2195 637 261 392 35 2.8k
Xiaohui Wang 2532 746 308 445 25 3.0k
Fuchou Tang 2478 1025 261 427 7 3.0k
Avi Srivastava 1557 391 213 480 23 2.2k
Valentine Svensson 2506 619 262 571 16 3.0k
Robrecht Cannoodt 1848 383 224 541 16 2.3k
Laura Ponting 1443 579 320 159 8 2.2k
Victor Li 2070 461 213 324 16 2.7k
Yashar S. Niknafs 2226 2131 134 125 26 2.8k

All Works

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2026