🏆 Finalist — NIH Data Sharing Index (“S-Index”) Challenge

Katharina Essig

Roche (Switzerland)

ORCID: 0000-0001-5928-6013

Biochemistry, 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 3 papers. Top paper: “Explainable machine learning for profiling the immunological synapse and functional characterization of therapeutic antibodies”.

Explainable machine learning for profiling the immunological synapse and functional characterization of therapeutic antibodies

Nature Communications(2023)10.1038/s41467-023-43429-2

N/A

0.689DataRank · unranked

21 citations

Katharina Essig, Sylvia Herter, Marina Bacac, Fabian Joachim Theis, Elke Glasmacher +4 more

scifAI: Explainable machine learning for profiling the immunological synapse and functional characterization of therapeutic antibodies

bioRxiv (Cold Spring Harbor Laboratory)(2022)10.1101/2022.10.24.513494

N/A

0.104DataRank · unranked

1 citations

Katharina Essig, Nikolaos‐Kosmas Chlis, Sylvia Herter, Marina Bacac, Fabian Joachim Theis +4 more

scifAI: Explainable machine learning for profiling the immunological synapse and functional characterization of therapeutic antibodies

Research Square(2022)10.21203/rs.3.rs-2190942/v1

N/A

0DataRank · unranked

0 citations

Katharina Essig, Nikolaos Kosmas Chlis, Sylvia Herter, Marina Bacac, Fabian Joachim Theis +4 more