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

Ada Zhang

ORCID: 0000-0003-4013-1657
MedicineBiochemistry, 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 6%percentile
0.181Author 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 66%
0.181DataRank
Top 66%2 citations

Shinya Tasaki, Kelsey M. Greathouse, Courtney K. Walker, Ada Zhang, Sydney Covitz +14 more

Papers

Driven by 4 papers — median percentile 34. Top paper: Explainable deep learning approach for extracting cognitive features from hand-drawn images of intersecting pentagons.

13 citations

Namhee Kim, Tim Truty, Ada Zhang, Aron S. Buchman, Melissa Lamar +2 more

5 citations

Nam‐Hee Kim, Tim Truty, Ada Zhang, Aron S. Buchman, Melissa Lamar +2 more

Top 66%
0.181DataRank
Top 66%2 citations

Shinya Tasaki, Kelsey M. Greathouse, Courtney K. Walker, Ada Zhang, Sydney Covitz +14 more

16 citations

Shinya Tasaki, Kelsey M. Greathouse, Courtney K. Walker, Ada Zhang, Sydney Covitz +15 more