Cemil Can Saylan

Also affiliated with Technical University of Munich

ChemistryComputer ScienceBiochemistry, Genetics and Molecular Biology

Pilot corpus only

This score is computed over theSindex pilot corpus and does not cover the full scientific literature. Scores are relative to papers we have ingested — papers, authors, and institutions outside the pilot are not represented. Methodology.

Top 100%percentile

0Author DataRank

Indexed papers

0in pilot corpus

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Papers

Driven by 1 paper. Top paper: “Integrating Alternative Fragmentation Techniques into Standard LC-MS Workflows Using a Single Deep Learning Model Enhances Proteome Coverage”.

Integrating Alternative Fragmentation Techniques into Standard LC-MS Workflows Using a Single Deep Learning Model Enhances Proteome Coverage

bioRxiv (Cold Spring Harbor Laboratory)(2025)10.1101/2025.05.28.656555

N/A

0DataRank · unranked

1 citations

Cemil Can Saylan, Joel Lapin, Yana Demyanenko, Kevin Yang, John D. Sidda +4 more