Emily Holzinger
Bristol-Myers Squibb (Germany)
ORCID: 0000-0002-1298-4508Also affiliated with Bristol-Myers Squibb (United States)
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.
Indexed papers
Why this DataRank?
An author's DataRank is the sum of the DataRanks of all 1 indexed paper attributed to them. A prolific author with many moderate-impact papers can outrank one with a single high-impact paper.
Author scores recompute whenever paper DataRanks are refreshed, so this number lags the underlying paper scores by at most one batch run.
Read the full methodology →Top data-sharing exemplar
The highest-impact dataset this researcher has shared, ranked by DataRank — the single contribution doing the most to lift their data-sharing standing.
Olivier Cussenot, Diptasri Mandal, Nilah M. Ioannidis, Graham G. Giles, Shannon K. McDonnell +36 more
Papers
Driven by 4 papers — median percentile 0. Top paper: “What makes a good prediction? Feature importance and beginning to open the black box of machine learning in genetics”.
Emily Holzinger, James D. Malley, Joan E. Bailey-Wilson, Anthony M. Musolf
Olivier Cussenot, Diptasri Mandal, Nilah M. Ioannidis, Graham G. Giles, Shannon K. McDonnell +36 more
Danielle C. Kimble, Settara C. Chandrasekharappa, NISC Comparative Sequencing Program, Khalid Alqosayer, Emily Holzinger +7 more
Danielle C. Kimble, Settara C. Chandrasekharappa, NISC Comparative Sequencing Program, Khalid Alqosayer, Emily Holzinger +7 more