Researcher profile · Semantic Scholar

Siegfried Gessulat

h-index: 11
Works: 15
Citations: 3,719

Most-cited papers

Mass-spectrometry-based draft of the human proteome
M. Wilhelm, J. Schlegl, Hannes Hahne, A. Gholami +18 more
2014Nature1,833 citations
Semantic Scholar
Prosit: proteome-wide prediction of peptide tandem mass spectra by deep learning
Siegfried Gessulat, Tobias Schmidt, D. Zolg, Patroklos Samaras +11 more
2019Nature Methods794 citations
Semantic Scholar
Generating high quality libraries for DIA MS with empirically corrected peptide predictions
B. Searle, Kristian E. Swearingen, C. A. Barnes, Tobias Schmidt +3 more
2019Nature Communications240 citations Open access
Semantic Scholar
Building ProteomeTools based on a complete synthetic human proteome
D. Zolg, M. Wilhelm, K. Schnatbaum, J. Zerweck +20 more
2017Nature Methods228 citations Open access
Semantic Scholar
ProteomicsDB
Tobias Schmidt, Patroklos Samaras, Martin Frejno, Siegfried Gessulat +8 more
2017Nucleic Acids Res.199 citations Open access
Semantic Scholar
ProteomicsDB: a multi-omics and multi-organism resource for life science research
Patroklos Samaras, Tobias Schmidt, Martin Frejno, Siegfried Gessulat +12 more
2019Nucleic Acids Res.184 citations Open access
Semantic Scholar
INFERYS Rescoring: boosting peptide identifications and scoring confidence of database search results.
D. Zolg, Siegfried Gessulat, C. Paschke, Michael Graber +10 more
2021Rapid Communications in Mass Spectrometry69 citations
Semantic Scholar
Toward an Integrated Machine Learning Model of a Proteomics Experiment
Benjamin A. Neely, Viktoria Dorfer, L. Martens, Isabell Bludau +14 more
2023Journal of Proteome Research60 citations Open access
Semantic Scholar
Spectral Prediction Features as a Solution for the Search Space Size Problem in Proteogenomics
S. Verbruggen, Siegfried Gessulat, R. Gabriels, Anna Matsaroki +7 more
2021Molecular & Cellular Proteomics42 citations Open access
Semantic Scholar
PROTEOFORMER 2.0: Further Developments in the Ribosome Profiling-assisted Proteogenomic Hunt for New Proteoforms
S. Verbruggen, Elvis Ndah, W. van Criekinge, Siegfried Gessulat +4 more
2019Molecular & Cellular Proteomics40 citations Open access
Semantic Scholar
ProteomicsML: An Online Platform for Community-Curated Data sets and Tutorials for Machine Learning in Proteomics
T. G. Rehfeldt, R. Gabriels, R. Bouwmeester, Siegfried Gessulat +6 more
2023Journal of Proteome Research24 citations Open access
Semantic Scholar
Author Correction: Deep learning boosts sensitivity of mass spectrometry-based immunopeptidomics
M. Wilhelm, D. Zolg, Michael Graber, Siegfried Gessulat +20 more
2021Nature Communications10 citations Open access
Semantic Scholar
An AI-driven leap forward in peptide identification through deconvolution of chimeric spectra
Martin Frejno, D. Zolg, Tobias Schmidt, Siegfried Gessulat +15 more
2022Molecular & Cellular Proteomics0 citations Open access
Semantic Scholar
kusterlab/prosit: v1.1.2
Siegfried Gessulat, Tobias Schmidt, M. Wilhelm, B. Kuster
20210 citations
Semantic Scholar
A deep learning model for the proteome-wide prediction of peptide tandem mass spectra (Ein Deep-Learning-Modell zur proteomweiten Vorhersage von Peptid-Tandem-Massenspektren)
Siegfried Gessulat
20200 citations
Semantic Scholar

B. Delanghe

×5

K. Schnatbaum×4

U. Reimer×4

Patroklos Samaras×4

A. Huhmer×4

Hans-Christian Ehrlich×4

Stephan Aiche×4

Martin Frejno×4