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

Miriam M. Hu

ORCID: 0000-0003-2408-2840
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 4%percentile
0.614Author 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 32%
0.614DataRank
Top 32%13 citations

Miriam M. Hu, Lauren J. Beesley, Alison M. Mondul, Celeste Leigh Pearce, Christopher R. Friese +3 more

Papers

Driven by 3 papers — median percentile 68. Top paper: COVID-19 Outcomes by Cancer Status, Site, Treatment, and Vaccination.

Top 32%
0.614DataRank
Top 32%13 citations

Miriam M. Hu, Lauren J. Beesley, Alison M. Mondul, Celeste Leigh Pearce, Christopher R. Friese +3 more

13 citations

Christopher Su, Miriam M. Hu, Jeremy M. G. Taylor, Stephanie Daignault‐Newton, Olesia Kellezi +13 more

0 citations

Miriam M. Hu, Lauren J. Beesley, Alison M. Mondul, Celeste Leigh Pearce, Christopher R. Friese +3 more