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

Mariam Khan

Johns Hopkins University

ORCID: 0000-0002-2037-4611

Also affiliated with Yale University

MedicinePsychologySocial SciencesBiochemistry, 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 5%percentile
0.395Author 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 46%9 citations

Luca Neri, Alessandro Orro, Richard Carrick, Marco S. Nobile, Sujai Jaipalli +5 more

Papers

Driven by 2 papers — median percentile 54. Top paper: Sudden cardiac arrest prediction via deep learning electrocardiogram analysis.

Top 46%9 citations

Luca Neri, Alessandro Orro, Richard Carrick, Marco S. Nobile, Sujai Jaipalli +5 more

8 citations

Maria A. Woodward, Venkatesh Prajna, Matthias F. Kriegel, Mercy Pawar, Mariam Khan +3 more