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

Andrew Beers

ORCID: 0009-0005-9085-6412
MedicineSocial SciencesImmunology and MicrobiologyNeuroscience

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 2%percentile
3.5Author 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.

Top 8%53 citations

Jay Patel, Andrew Beers, Ken Chang, Praveer Singh, James M. Brown +6 more

Papers

Driven by 5 papers — median percentile 81. Top paper: Radiomics Repeatability Pitfalls in a Scan-Rescan MRI Study of Glioblastoma.

Top 8%53 citations

Jay Patel, Andrew Beers, Ken Chang, Praveer Singh, James M. Brown +6 more

Top 29%
0.680DataRank
Top 29%15 citations

Reinhard Beichel, Jayashree Kalpathy–Cramer, David Clunie, Michael D. Onken, Jörg Riesmeier +16 more

51 citations

Andrew Beers, Laura Brink, Jay Patel, Praveer Singh, Nishanth Arun +11 more

3 citations

James M. Brown, Ken Chang, Katharina Hoebel, Jay Patel, Bruce R. Rosen +6 more

0 citations

Ken Chang, Andrew Beers, Kyrre E. Emblem, Jayashree Kalpathy–Cramer, Eudocia Q. Lee +15 more