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

Anna Fuchs

Stony Brook School

ORCID: 0000-0002-7600-8477

Also affiliated with Stony Brook University

Medicine

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 6%percentile
0.241Author 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 61%4 citations

Cassandra Heiselman, Anna Fuchs, Mia A. Heiligenstein, Kimberly Herrera, Diana Garretto +2 more

Papers

Driven by 1 paper — median percentile 39. Top paper: Bayesian Nonparametric Dimensionality Reduction of Categorical Data for Predicting Severity of COVID-19 in Pregnant Women.

Top 61%4 citations

Cassandra Heiselman, Anna Fuchs, Mia A. Heiligenstein, Kimberly Herrera, Diana Garretto +2 more