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

John Papaioannou

University of Chicago

ORCID: 0000-0002-3852-3208
MedicineComputer 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 5%percentile
0.481Author 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 40%8 citations

Heather M. Whitney, Yu Ji, Alexandra Edwards, John Papaioannou, Peifang Liu +2 more

Papers

Driven by 2 papers — median percentile 60. Top paper: Impact of continuous learning on diagnostic breast MRI AI: evaluation on an independent clinical dataset.

Top 40%8 citations

Heather M. Whitney, Yu Ji, Alexandra Edwards, John Papaioannou, Peifang Liu +2 more

6 citations

Karen Drukker, Alexandra Edwards, John Papaioannou, Milica Medved, Gregory S. Karczmar +2 more