Miriam Payá-Milans
ORCID: 0000-0002-7718-9011Also affiliated with Fundación Progreso y Salud, Instituto de Biomedicina de Sevilla, Andalusian Agency for Healthcare Quality, University of Tennessee at Knoxville
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.
Laura Poza-Viejo, Patxi San Martín-Uriz, David Lara-Astiaso, Mark D D. Wilkinson, Pedro Crevillén +1 more
Papers
Driven by 2 papers — median percentile 78. Top paper: “Genome-wide analysis of the H3K27me3 epigenome and transcriptome in Brassica rapa”.
Laura Poza-Viejo, Patxi San Martín-Uriz, David Lara-Astiaso, Mark D D. Wilkinson, Pedro Crevillén +1 more
María Peña-Chilet, Carlos Loucera, Marina Esteban‐Medina, Joaquı́n Dopazo, Miriam Payá-Milans