Michael Widrich

Biochemistry, Genetics and Molecular BiologyComputer ScienceMedicinePharmacology, Toxicology and Pharmaceutics

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 3 papers. Top paper: “The immuneML ecosystem for machine learning analysis of adaptive immune receptor repertoires”.

The immuneML ecosystem for machine learning analysis of adaptive immune receptor repertoires

Nature Machine Intelligence(2021)10.1038/s42256-021-00413-z

N/A

0.673DataRank · unranked

88 citations

Lonneke Scheffer, Keshav Motwani, Chakravarthi Kanduri, Radmila Kompova, Nikolay Vazov +37 more

immuneML: an ecosystem for machine learning analysis of adaptive immune receptor repertoires

bioRxiv (Cold Spring Harbor Laboratory)(2021)10.1101/2021.03.08.433891

N/A

0DataRank · unranked

17 citations

Lonneke Scheffer, Keshav Motwani, Chakravarthi Kanduri, Radmila Kompova, Nikolay Vazov +38 more

A community effort in SARS‐CoV‐2 drug discovery

Molecular Informatics(2023)10.1002/minf.202300262

N/A

0DataRank · unranked

18 citations

Philipp Seidl, Katarina Elez, Tim Hempel, Tuan Le, Frank Noé +95 more