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

Fatma Nasoz

University of Nevada, Las Vegas

ORCID: 0000-0002-9733-6824
PsychologyMedicineNeuroscience

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
0.266Author 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 59%3 citations

Fatma Nasoz, Jong-Yun Jung, Bibek Bhattarai, Mira Han, Qing Wu

Papers

Driven by 1 paper — median percentile 41. Top paper: Machine Learning Approaches for the Prediction Bone Mineral Density by using genomic and phenotypic data of 5,130 older Men.

Top 59%3 citations

Fatma Nasoz, Jong-Yun Jung, Bibek Bhattarai, Mira Han, Qing Wu