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

Nava Ehsan

Scripps Research Institute

ORCID: 0000-0001-7453-2518

Also affiliated with Scripps Institution of Oceanography

Biochemistry, Genetics and Molecular BiologyMedicine

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 3%percentile
1.4Author 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 15%34 citations

Garrett Garborcauskas, Paul Hoffman, Nava Ehsan, Lihua Jiang, Alper Gokden +19 more

Papers

Driven by 4 papers — median percentile 85. Top paper: Transcriptome variation in human tissues revealed by long-read sequencing.

320 citations

Garrett Garborcauskas, Paul Hoffman, Nava Ehsan, Lihua Jiang, Alper Gokden +19 more

Top 15%34 citations

Garrett Garborcauskas, Paul Hoffman, Nava Ehsan, Lihua Jiang, Alper Gokden +19 more

7 citations

Tiphaine Oudot‐Mellakh, Nava Ehsan, Christian Hammer, Federico Santoni, Jonathan Niay +19 more

81 citations

Kritika Singh, Tyne W. Miller‐Fleming, Frank R. Wendt, Nava Ehsan, Kangcheng Hou +10 more