Mete U. Akdogan
ORCID: 0000-0003-1520-1481Also affiliated with Stanford Medicine, Stanford University
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.
Indexed papers
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.
Thais Rivas, Nader Mehri, Oswaldo A. Lozoya, Liesl K. Jeffers-Francis, Keriayn N. Smith +9 more
Papers
Driven by 5 papers — median percentile 0. Top paper: “Toward Reduction in False-Positive Thyroid Nodule Biopsies with a Deep Learning–based Risk Stratification System Using US Cine-Clip Images”.
Tara Kapoor, Minhaj Nur Alam, Alfiia Galimzianova, Saad Syed, Mete U. Akdogan +10 more
Matthew Horridge, Nilesh Mistry, Aubrie Weyhmiller, Jimmy K. Yu, Alissa Fujimoto +13 more
Matthew Horridge, Nilesh Mistry, Aubrie Weyhmiller, Jiangbo Yu, Alissa Fujimoto +13 more
M. Keller, Somu Valliappan, Ashley Sier, Nilesh Mistry, Stephanie Suber +13 more
Thais Rivas, Nader Mehri, Oswaldo A. Lozoya, Liesl K. Jeffers-Francis, Keriayn N. Smith +9 more