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

Daniel H. Foil

University of Vienna

ORCID: 0000-0003-0512-8997

Also affiliated with Federal Institute for Risk Assessment

Computer ScienceBiochemistry, Genetics and Molecular BiologyMedicineMaterials Science

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 4%percentile
0.722Author DataRank

Indexed papers

2in pilot corpus
datarank_citation_only_1hop_v6· scope data_onlyMethodology
Why this DataRank?

An author's DataRank is the sum of the DataRanks of all 2 indexed papers 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.

Quantum Machine Learning for Drug Discovery

ChemRxiv(2020)10.26434/chemrxiv.12781232
Top 48%
0.374DataRank
Top 48%4 citations

Kimberley M. Zorn, Daniel H. Foil, Eni Minerali, Victor O. Gawriljuk, Thomas R. Lane +2 more

Papers

Driven by 8 papers — median percentile 51. Top paper: “Bacterial efflux inhibitors are widely distributed in land plants”.

Bacterial efflux inhibitors are widely distributed in land plants

Journal of Ethnopharmacology(2020)10.1016/j.jep.2020.113533
N/A
0.425DataRank · unranked
16 citations

Keivan A. Ettefagh, Daniel A. Todd, Patrick S. Cole, Joseph M. Egan, Daniel H. Foil +3 more

Using Bibliometric Analysis and Machine Learning to Identify Compounds Binding to Sialidase-1

ACS Omega(2021)10.1021/acsomega.0c05591
N/A
0.416DataRank · unranked
15 citations

Nancy Baker, Daniel H. Foil, Kimberley M. Zorn, Fabio Urbina, Ana C. Puhl +2 more

Quantum Machine Learning for Drug Discovery

ChemRxiv(2020)10.26434/chemrxiv.12781232
Top 48%
0.374DataRank
Top 48%4 citations

Kimberley M. Zorn, Daniel H. Foil, Eni Minerali, Victor O. Gawriljuk, Thomas R. Lane +2 more

Multiple approaches to repurposing drugs for neuroblastoma

Bioorganic & Medicinal Chemistry(2022)10.1016/j.bmc.2022.117043
N/A
0.360DataRank · unranked
10 citations

Ana C. Puhl, Tammy M. Havener, Edward Anderson, Daniel H. Foil, Kimberley M. Zorn +6 more

Quantum Machine Learning for Drug Discovery

ChemRxiv(2020)10.26434/chemrxiv.12781232.v1
Top 51%
0.348DataRank
Top 51%6 citations

Kimberley M. Zorn, Daniel H. Foil, Eni Minerali, Victor O. Gawriljuk, Thomas R. Lane +2 more

Machine Learning Models Identify Inhibitors of SARS-CoV-2

bioRxiv (Cold Spring Harbor Laboratory)(2020)10.1101/2020.06.16.154765
N/A
0DataRank · unranked
11 citations

Phyo Phyo Kyaw Zin, Daniel H. Foil, Jean Bernatchez, Sungjun Beck, Nathan Beutler +12 more

Repurposing Pyramax®, quinacrine and tilorone as treatments for Ebola virus disease

Antiviral Research(2020)10.1016/j.antiviral.2020.104908
N/A
0DataRank · unranked
28 citations

Julie Dyall, Mercer Luke, Caleb Goodin, Daniel H. Foil, Huanying Zhou +6 more

Synergistic drug combinations and machine learning for drug repurposing in chordoma

Scientific Reports(2020)10.1038/s41598-020-70026-w
N/A
0DataRank · unranked
43 citations

Tammy M. Havener, Kimberley M. Zorn, Daniel H. Foil, Thomas R. Lane, Stephen J. Capuzzi +5 more