Thomas Blasi

Helmholtz Zentrum München

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 5 papers. Top paper: “Reconstructing cell cycle and disease progression using deep learning”.

Reconstructing cell cycle and disease progression using deep learning

bioRxiv (Cold Spring Harbor Laboratory)(2016)10.1101/081364

N/A

0.869DataRank · unranked

21 citations

Niklas D. Köhler, Thomas Blasi, Andrew Filby, Anne E. Carpenter, Paul Rees +4 more

Label-free cell cycle analysis for high-throughput imaging flow cytometry

Nature Communications(2016)10.1038/ncomms10256

N/A

0.863DataRank · unranked

315 citations

Holger Hennig, Huw D. Summers, Fabian Joachim Theis, Joana Cerveira, James O. Patterson +5 more

Reconstructing cell cycle and disease progression using deep learning

Nature Communications(2017)10.1038/s41467-017-00623-3

N/A

0.858DataRank · unranked

304 citations

Niklas D. Köhler, Thomas Blasi, Andrew Filby, Anne E. Carpenter, Paul Rees +3 more

cgCorrect: a method to correct for confounding cell–cell variation due to cell growth in single-cell transcriptomics

Physical Biology(2017)10.1088/1478-3975/aa609a

N/A

0.425DataRank · unranked

16 citations

Florian Buettner, Carsten Marr, Fabian Joachim Theis, Michael Strasser, Thomas Blasi

cgCorrect: A method to correct for confounding cell-cell variation due to cell growth in single-cell transcriptomics

bioRxiv (Cold Spring Harbor Laboratory)(2016)10.1101/057463

N/A

0DataRank · unranked

0 citations

Florian Buettner, Carsten Marr, Fabian Joachim Theis, Michael Strasser, Thomas Blasi