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

Javier Cañueto

Universidad de Salamanca

ORCID: 0000-0003-0037-7353

Also affiliated with Complejo Hospitalario de Salamanca, Instituto de Investigación Biomédica de Salamanca

Medicine

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 100%percentile

0Author DataRank

Indexed papers

0in pilot corpus

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Papers

Driven by 3 papers. Top paper: “Self supervised artificial intelligence predicts poor outcome from primary cutaneous squamous cell carcinoma at diagnosis”.

Self supervised artificial intelligence predicts poor outcome from primary cutaneous squamous cell carcinoma at diagnosis

npj Digital Medicine(2025)10.1038/s41746-025-01496-3

N/A

0.345DataRank · unranked

9 citations

Michelle C. Juarez, Maressa C. Criscito, Adalberto Claudio Quiros, Reason Wilken, Stephanie R. Jackson +20 more

Proyecto CUDERMA: Consenso Delphi de los indicadores de calidad para la certificación de las unidades de dermatología de atención en dermato-oncología

Actas Dermo-Sifiliográficas(2023)10.1016/j.ad.2023.02.003

N/A

0.104DataRank · unranked

1 citations

Sebastián Podlipnik, Javier Cañueto, Alberto de la Cuadra-Grande, C. Serra‐Guillén, D. Moreno +6 more

[Translated article] Selection of Quality Indicators for the Certification of Dermato-Oncology Units: The CUDERMA Project Delphi Consensus Study

Actas Dermo-Sifiliográficas(2023)10.1016/j.ad.2023.02.024

N/A

0DataRank · unranked

1 citations

Sebastián Podlipnik, Javier Cañueto, Alberto de la Cuadra-Grande, C. Serra-Guillén, D. Moreno +6 more