Alba García Seco de Herrera
Universidad Nacional de Educación a Distancia
ORCID: 0000-0002-6509-5325Pilot 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.
Masaki Nasu, Gehan Devendra, Ayman Abdul-Ghani, Alba García Seco de Herrera, Jeffrey A. Borgia +13 more
Papers
Driven by 3 papers — median percentile 35. Top paper: “A robust machine learning model based on ribosomal‐subunit‐derived piRNAs for diagnostic potential of nonsmall cell lung cancer across multicentre, large‐scale of sequencing data”.
Masaki Nasu, Gehan Devendra, Ayman Abdul-Ghani, Alba García Seco de Herrera, Jeffrey A. Borgia +13 more
Selamawet Workalemahu Atnafu, Alba García Seco de Herrera, Chiara Marzi, Riccardo Scheda, Marco Giannelli +4 more
Henning Müller, Renaud Péteri, Asma Ben Abacha, Mourad Sarrouti, Dina Demner‐Fushman +24 more