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

Aylin Tahmasebi

Thomas Jefferson University

ORCID: 0000-0002-8191-6373
Computer ScienceMedicine

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
0.298Author 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 55%5 citations

Cristina M. Kuon Yeng Escalante, Aylin Tahmasebi, Yuko Kono, Fabio Piscaglia, Stephanie R. Wilson +14 more

Papers

Driven by 3 papers — median percentile 45. Top paper: Combining CEUS and CT/MRI LI-RADS major imaging features: diagnostic accuracy for classification of indeterminate liver observations in patients at risk for HCC.

Top 55%5 citations

Cristina M. Kuon Yeng Escalante, Aylin Tahmasebi, Yuko Kono, Fabio Piscaglia, Stephanie R. Wilson +14 more

8 citations

Ankit Rochani, Brian E. Oeffinger, Ji‐Bin Liu, Corinne E. Wessner, Aylin Tahmasebi +11 more

9 citations

Tania Siu Xiao, Rohit U. Nagaraj, Esika Savsani, Amr Mohammed, Joy Li +8 more