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

Ronenn Roubenoff

Novartis (Switzerland)

ORCID: 0000-0002-3959-3179

Also affiliated with Novartis Institutes for BioMedical Research

MedicineBiochemistry, 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 3%percentile
1.5Author DataRank

Indexed papers

1in 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 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.

Top 14%27 citations

Franziska Saxer, P Lustenberger, László B. Tankó, Philipp Nikolaus, Ilja Rasin +6 more

Papers

Driven by 3 papers — median percentile 86. Top paper: Unsupervised machine-learning algorithms for the identification of clinical phenotypes in the osteoarthritis initiative database.

Top 14%27 citations

Franziska Saxer, P Lustenberger, László B. Tankó, Philipp Nikolaus, Ilja Rasin +6 more

29 citations

Jon Riek, Christopher D. J. Sinclair, P Houston, Ronenn Roubenoff, Dimitris A. Papanicolaou +7 more

Contributors

Genomic and Personalized Medicine(2009)10.1016/b978-0-12-369420-1.00122-0
N/A
0DataRank · unranked
0 citations

Matthew L. Anderson, Felicita Andreotti, Brian H. Annex, Anthony Antonellis, Dmitri Artemov +272 more