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

Cristina Fortuño

QIMR Berghofer Medical Research Institute

ORCID: 0000-0002-1970-9912
MedicineBiochemistry, 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 4%percentile
0.620Author 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.

TP53-associated early breast cancer: new observations from a large cohort

JNCI Journal of the National Cancer Institute(2024)10.1093/jnci/djae074
Top 32%
0.620DataRank
Top 32%19 citations

Michele Bottosso, Tianyu Li, Natália Polidorio, Brittany Bychkovsky, Benjamin Verret +13 more

Papers

Driven by 10 papers — median percentile 68. Top paper: “TP53-associated early breast cancer: new observations from a large cohort”.

TP53-associated early breast cancer: new observations from a large cohort

JNCI Journal of the National Cancer Institute(2024)10.1093/jnci/djae074
Top 32%
0.620DataRank
Top 32%19 citations

Michele Bottosso, Tianyu Li, Natália Polidorio, Brittany Bychkovsky, Benjamin Verret +13 more

Suggested application of HER2+ breast tumor phenotype for germline TP53 variant classification within ACMG/AMP guidelines

Human Mutation(2020)10.1002/humu.24060
N/A
0DataRank · unranked
23 citations

Jessica L. Mester, Tina Pesaran, Jeffrey N. Weitzel, Jill S. Dolinsky, Amal Yussuf +13 more

Specifications of the ACMG/AMP variant interpretation guidelines for germline TP53 variants

medRxiv(2020)10.1101/2020.04.25.20078931
N/A
0DataRank · unranked
5 citations

Kristy Lee, Magali Olivier, Tina Pesaran, Phuong L. Mai, Kelvin C. de Andrade +18 more

Co-observation of germline pathogenic variants in breast cancer predisposition genes: Results from analysis of the BRIDGES sequencing dataset

The American Journal of Human Genetics(2024)10.1016/j.ajhg.2024.07.004
N/A
0DataRank · unranked
8 citations

Kyriaki Michailidou, Michael T. Parsons, Cristina Fortuño, Manjeet K. Bolla, Qin Wang +95 more

Challenges and approaches to calibrating patient phenotype as evidence for cancer gene variant classification under ACMG/AMP guidelines

Human Molecular Genetics(2024)10.1093/hmg/ddae009
N/A
0DataRank · unranked
7 citations

Kyriaki Michailidou, Michael T. Parsons, Jill S. Dolinsky, Tina Pesaran, Amal Yussuf +11 more

Atypical cancer risk profile in carriers of Italian founder BRCA1 variant p.His1673del: Implications for classification and clinical management

Cancer Medicine(2024)10.1002/cam4.70114
N/A
0DataRank · unranked
3 citations

Cristina Fortuño, Laura Caleca, Bing Feng, Courtney Carroll, Michael T. Parsons +27 more

ACMG/AMP interpretation of BRCA1 missense variants: Structure-informed scores add evidence strength granularity to the PP3/BP4 computational evidence

The American Journal of Human Genetics(2025)10.1016/j.ajhg.2024.12.011
N/A
0DataRank · unranked
11 citations

Nitsan Rotenberg, Ada Esteban‐Sánchez, Cristina Fortuño, Alicia Gómez-Sanz, Matthew J. Varga +7 more

Integration of protein stability and AlphaMissense scores improves bioinformatic impact prediction for p53 missense and in-frame amino acid deletion variants

The American Journal of Human Genetics(2025)10.1016/j.ajhg.2025.01.012
N/A
0DataRank · unranked
8 citations

Cristina Fortuño, Matthew J. Varga, Adam Chamberlin, Lobna Ramadane‐Morchadi, Bing Feng +4 more

Specifications of the ACMG/AMP variant interpretation guidelines for germline TP53 variants

Human Mutation(2020)10.1002/humu.24152
N/A
0DataRank · unranked
166 citations

Kristy Lee, Magali Olivier, Tina Pesaran, Phuong L. Mai, Kelvin C. de Andrade +19 more

A quantitative, Bayesian-informed approach to gene-specific variant classification: Updated Expert Panel recommendations improve classification of TP53 germline variants for Li-Fraumeni syndrome

Genome Medicine(2025)10.1186/s13073-025-01536-3
N/A
0DataRank · unranked
5 citations

Megan N. Frone, Jessica L. Mester, Miguel de la Hoya, Phuong L. Mai, Tina Pesaran +32 more