Standout Papers

Prosit: proteome-wide prediction of peptide tandem mass spectra by deep learning 2019 2026 2021 2023 490
  1. Prosit: proteome-wide prediction of peptide tandem mass spectra by deep learning (2019)
    Siegfried Gessulat, Tobias Schmidt et al. Nature Methods

Immediate Impact

3 by Nobel laureates 5 from Science/Nature 55 standout
Sub-graph 1 of 23

Citing Papers

Mass-spectrometry-based proteomics: from single cells to clinical applications
2025 StandoutNature
Deep learning in spectral analysis: Modeling and imaging
2024 Standout
5 intermediate papers

Works of Bernard Delanghe being referenced

Prosit: proteome-wide prediction of peptide tandem mass spectra by deep learning
2019 Standout

Author Peers

Author Last Decade Papers Cites
Bernard Delanghe 759 550 82 18 1.1k
Yingying Yang 909 348 148 55 1.4k
Shunji Sakamoto 515 194 160 41 1000
Margaret J. Hunter 670 123 85 20 1.0k
Marina J. Gorbunoff 775 180 116 30 1.4k
Marcel de Vries 445 140 78 25 1.1k
Jianhua Hu 465 129 103 42 1.3k
Brianne Petritis 710 359 58 25 1.1k
Yejing Weng 769 220 94 24 976
Diego Chiappe 481 173 43 21 989
Zhaosheng Lin 609 196 227 29 1.1k

All Works

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2026