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

Nicolai J. Birkbak

Aarhus University

ORCID: 0000-0003-1613-9587

Also affiliated with The Francis Crick Institute, Cancer Research UK, Aarhus University Hospital, London Cancer, CRUK Lung Cancer Centre of Excellence, University College London

Biochemistry, Genetics and Molecular BiologyMedicine

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 2%percentile
2.5Author DataRank

Indexed papers

1in 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 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.

Evolutionary characterization of lung adenocarcinoma morphology in TRACERx

Nature Medicine(2023)10.1038/s41591-023-02230-w
Top 9%
2.5DataRank
Top 9%105 citations

David A. Moore, Selvaraju Veeriah, Cristina Naceur‐Lombardelli, Antonia Toncheva, Neil Magno +93 more

Papers

Driven by 10 papers — median percentile 91. Top paper: “Pervasive chromosomal instability and karyotype order in tumour evolution”.

Pervasive chromosomal instability and karyotype order in tumour evolution

Nature(2020)10.1038/s41586-020-2698-6
N/A
7.1DataRank · unranked
405 citations

Emilia L. Lim, Marina Petković, Sergi Elizalde, Nicolai J. Birkbak, Gareth A. Wilson +50 more

Evolutionary characterization of lung adenocarcinoma morphology in TRACERx

Nature Medicine(2023)10.1038/s41591-023-02230-w
Top 9%
2.5DataRank
Top 9%105 citations

David A. Moore, Selvaraju Veeriah, Cristina Naceur‐Lombardelli, Antonia Toncheva, Neil Magno +93 more

Body composition and lung cancer-associated cachexia in TRACERx

Nature Medicine(2023)10.1038/s41591-023-02232-8
N/A
0.738DataRank · unranked
136 citations

Jakob Weiss, Marcin Skrzypski, Jie Min Lam, Takahiro Karasaki, Francisco Zambrana +92 more

A local human Vδ1 T cell population is associated with survival in nonsmall-cell lung cancer

Nature Cancer(2022)10.1038/s43018-022-00376-z
N/A
0.712DataRank · unranked
114 citations

Dhruva Biswas, Ieva Usaite, Mihaela Angelova, Stefan Boeing, Takahiro Karasaki +95 more

Foundation Models for Quantitative Biomarker Discovery in Cancer Imaging

medRxiv(2023)10.1101/2023.09.04.23294952
N/A
0.330DataRank · unranked
8 citations

Dennis Bontempi, Ibrahim Hadžić, Vasco Prudente, Mateo Sokač, Tafadzwa L. Chaunzwa +6 more

BRCA2 deficiency and replication stress drive APOBEC3-Mediated genomic instability

Nature Communications(2025)10.1038/s41467-025-64578-6
N/A
0DataRank · unranked
6 citations

Haohui Duan, Stephen K. Godin, Joshua Yang, Gabrielle Q. McCloskey, Basim Naeem +16 more

Decoding biological age from face photographs using deep learning

medRxiv(2023)10.1101/2023.09.12.23295132
N/A
0DataRank · unranked
6 citations

Dennis Bontempi, Danielle S. Bitterman, Nicolai J. Birkbak, Derek Shyr, Fridolin Haugg +17 more

Foundation model for cancer imaging biomarkers

Nature Machine Intelligence(2024)10.1038/s42256-024-00807-9
N/A
0DataRank · unranked
172 citations

Dennis Bontempi, Ibrahim Hadžić, Vasco Prudente, Mateo Sokač, Tafadzwa L. Chaunzwa +6 more

MHC Hammer reveals genetic and non-genetic HLA disruption in cancer evolution

Nature Genetics(2024)10.1038/s41588-024-01883-8
N/A
0DataRank · unranked
40 citations

Thomas P. Jones, Michelle Leung, Felipe Gálvez‐Cancino, Jiali Liu, Manuel Varas‐Godoy +87 more

FaceAge, a deep learning system to estimate biological age from face photographs to improve prognostication: a model development and validation study

The Lancet Digital Health(2025)10.1016/j.landig.2025.03.002
N/A
0DataRank · unranked
33 citations

Osbert C. Zalay, Danielle S. Bitterman, Nicolai J. Birkbak, Derek Shyr, Fridolin Haugg +17 more