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

Kübra Tan

University of Gothenburg

ORCID: 0000-0002-9092-2118
MedicineNeuroscience

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 5%percentile
0.516Author 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 37%13 citations

Nicholas J. Ashton, Marco Antônio De Bastiani, Wagner S. Brum, Nesrine Rahmouni, Kübra Tan +12 more

Papers

Driven by 2 papers — median percentile 63. Top paper: Exploring inflammation‐related protein expression and its relationship with TSPO PET in Alzheimer's disease.

Top 37%13 citations

Nicholas J. Ashton, Marco Antônio De Bastiani, Wagner S. Brum, Nesrine Rahmouni, Kübra Tan +12 more

7 citations

Guglielmo Di Molfetta, Kübra Tan, Kaj Blennow, Henrik Zetterberg, Albee Messing +1 more