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

Daniel Cerdán-Vélez

Spanish National Cancer Research Centre

ORCID: 0000-0003-4499-6201
Biochemistry, Genetics and Molecular Biology

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 1%percentile
10.9Author DataRank

Indexed papers

7in 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 7 indexed papers 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.

GENCODE: reference annotation for the human and mouse genomes in 2023

Nucleic Acids Research(2022)10.1093/nar/gkac1071
Top 4%
5.1DataRank
Top 4%663 citations

Sílvia Carbonell Sala, Mark Diekhans, Irwin Jungreis, Jane E Loveland, Jonathan M. Mudge +57 more

Papers

Driven by 10 papers — median percentile 49. Top paper: “GENCODE: reference annotation for the human and mouse genomes in 2023”.

GENCODE: reference annotation for the human and mouse genomes in 2023

Nucleic Acids Research(2022)10.1093/nar/gkac1071
Top 4%
5.1DataRank
Top 4%663 citations

Sílvia Carbonell Sala, Mark Diekhans, Irwin Jungreis, Jane E Loveland, Jonathan M. Mudge +57 more

GENCODE 2025: reference gene annotation for human and mouse

Nucleic Acids Research(2024)10.1093/nar/gkae1078
Top 8%
2.7DataRank
Top 8%348 citations

Sílvia Carbonell Sala, Mark Diekhans, Jose Gonzalez Martinez, Toby Hunt, Irwin Jungreis +51 more

APPRIS: selecting functionally important isoforms

Nucleic Acids Research(2021)10.1093/nar/gkab1058
Top 10%
2.2DataRank
Top 10%85 citations

Fernando Campo del Pozo, Daniel Cerdán-Vélez, Tomás Di Domenico, Jesús Vázquez, Michael L. Tress +1 more

The T2T-CHM13 reference assembly uncovers essential WASH1 and GPRIN2 paralogues

Bioinformatics Advances(2024)10.1093/bioadv/vbae029
Top 51%
0.344DataRank
Top 51%8 citations

Michael L. Tress, Daniel Cerdán-Vélez

A deep audit of the PeptideAtlas database uncovers evidence for unannotated coding genes and aberrant translation

bioRxiv (Cold Spring Harbor Laboratory)(2024)10.1101/2024.11.14.623419
Top 55%
0.300DataRank
Top 55%6 citations

Miguel Maquedano, Daniel Cerdán-Vélez, Enrique Calvo, Jesús Vázquez, Michael L. Tress +1 more

The state of the human coding gene catalogues

Database(2025)10.1093/database/baaf045
Top 61%
0.241DataRank
Top 61%4 citations

Daniel Cerdán-Vélez, Michael L. Tress, Miguel Maquedano

More than 2,500 coding genes in the human reference gene set still have unsettled status

bioRxiv (Cold Spring Harbor Laboratory)(2024)10.1101/2024.12.05.626965
Top 72%
0.111DataRank
Top 72%1 citations

Daniel Cerdán-Vélez, Michael L. Tress, Miguel Maquedano

Evidence for widespread translation of 5′ untranslated regions

Nucleic Acids Research(2024)10.1093/nar/gkae571
N/A
0DataRank · unranked
9 citations

Federico Abascal, Daniel Cerdán-Vélez, Laura Martínez Gómez, Jesús Vázquez, Michael L. Tress +1 more

Lost in the WASH. The functional human WASH complex 1 gene is on chromosome 20

bioRxiv (Cold Spring Harbor Laboratory)(2023)10.1101/2023.06.14.544951
N/A
0DataRank · unranked
1 citations

Michael L. Tress, Daniel Cerdán-Vélez

Origins and Evolution of Human Tandem Duplicated Exon Substitution Events

Genome Biology and Evolution(2022)10.1093/gbe/evac162
N/A
0DataRank · unranked
10 citations

Daniel Cerdán-Vélez, Federico Abascal, Michael L. Tress, Laura Martínez Gómez