Mikhail M. Savitski
Molecular Biology · 2011–2023
A researcher in the Science corpus: 8 papers; trusts 6 researchers and is trusted by 1 researcher here, as inferred from the citation graph.
Subfields
- Molecular Biology — 163 citations into it; #13,400 of 17,773 by trust here, #3,938 by citations
- Spectroscopy — 90 citations into it; #1,195 of 1,674 by trust here, #309 by citations
Whom Mikhail M. Savitski trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Jüergen Cox
- Alexey I. Nesvizhskii
- Matthias Mann
- Joshua E. Elias
- Lukas Käll
- Yoav Benjamini
- Steven P. Gygi
- R. Aebersold
- Mathias Wilhelm
- Marcus Bantscheff
Who trusts Mikhail M. Savitski overall
Papers from Mikhail M. Savitski's perspective
Ordered by how strongly the researchers Mikhail M. Savitski trusts endorse each paper. Same corpus, a different order for every researcher.
- A survey of computational methods and error rate estimation procedures for peptide and protein identification in shotgun proteomics (Journal of Proteomics)
- iProphet: Multi-level Integrative Analysis of Shotgun Proteomic Data Improves Peptide and Protein Identification Rates and Error Estimates* (Molecular & Cellular Proteomics)
- Target-decoy search strategy for increased confidence in large-scale protein identifications by mass spectrometry (Nature Methods)
- Andromeda: a peptide search engine integrated into the MaxQuant environment. (Journal of Proteome Research)
- Protein Identification False Discovery Rates for Very Large Proteomics Data Sets Generated by Tandem Mass Spectrometry* (Molecular & Cellular Proteomics)
- Lysine Acetylation Targets Protein Complexes and Co-Regulates Major Cellular Functions (Science)
- Analysis and validation of proteomic data generated by tandem mass spectrometry (Nature Methods)
- Posterior error probabilities and false discovery rates: two sides of the same coin. (Journal of Proteome Research)
- Controlling the false discovery rate: a practical and powerful approach to multiple testing
- Mass-spectrometry-based draft of the human proteome (Nature)
Their papers
- Mass-spectrometry-based draft of the human proteome (2014) — 1,824 citations
- Tracking cancer drugs in living cells by thermal profiling of the proteome (2014) — 1,059 citations
- A Scalable Approach for Protein False Discovery Rate Estimation in Large Proteomic Data Sets (2015) — 391 citations
- Inhibition of BET recruitment to chromatin as an effective treatment for MLL-fusion leukaemia (2011) — 1,525 citations
- Quantitative mass spectrometry in proteomics: critical review update from 2007 to the present (2012) — 800 citations
- Chemoproteomics profiling of HDAC inhibitors reveals selective targeting of HDAC complexes (2011) — 654 citations
- Control of protein stability by post-translational modifications (2023) — 653 citations
- A new antibiotic selectively kills Gram-negative pathogens (2019) — 606 citations