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

Liza Mathews

Harvard University

ORCID: 0000-0002-9977-7631
MedicineBiochemistry, Genetics and Molecular BiologyComputer 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 4%percentile
0.664Author 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 30%18 citations

Zhijie Wu, Jeerthi Kannan, Liza Mathews, Xingmin Feng, Sachiko Kajigaya +2 more

Papers

Driven by 3 papers — median percentile 70. Top paper: Comparative Transcriptomic Analysis of the Hematopoietic System between Human and Mouse by Single Cell RNA Sequencing.

Top 30%18 citations

Zhijie Wu, Jeerthi Kannan, Liza Mathews, Xingmin Feng, Sachiko Kajigaya +2 more

N/A
0DataRank · unranked
13 citations

Liza Mathews, Emma M. Groarke, Olga Rios, Jennifer Lotter, Bhavisha A. Patel +2 more