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

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Elissa B. Dodd-Eaton

Elissa B. Dodd-Eaton

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 8 papers. Top paper: “A pedigree-based prediction model identifies carriers of deleterious de novo mutations in families with Li-Fraumeni syndrome”.

A pedigree-based prediction model identifies carriers of deleterious de novo mutations in families with Li-Fraumeni syndrome

Genome Research(2020)10.1101/gr.249599.119

N/A

0DataRank · unranked

3 citations

Xuedong Pan, Elissa B. Dodd-Eaton, Carlos Vera Recio, Matthew D. Montierth, Jasmina Bojadzieva +10 more

A pedigree-based prediction model identifies carriers of deleterious de novo mutations in families with Li-Fraumeni syndrome

bioRxiv (Cold Spring Harbor Laboratory)(2020)10.1101/2020.02.10.942409

N/A

0DataRank · unranked

1 citations

Xuedong Pan, Elissa B. Dodd-Eaton, Carlos Vera Recio, Matthew D. Montierth, Jasmina Bojadzieva +10 more

Identification and characterization of de novo TP53 mutation carriers in Li-Fraumeni syndrome families: A single institution experience.

Journal of Clinical Oncology(2021)10.1200/jco.2021.39.15_suppl.10538

N/A

0DataRank · unranked

1 citations

Jessica Corredor, Elissa B. Dodd-Eaton, Angelica M. Gutierrez‐Barrera, Najat C. Daw, Banu Arun +2 more

Personalized Risk Prediction for Cancer Survivors: A Bayesian Semi-parametric Recurrent Event Model with Competing Outcomes

bioRxiv (Cold Spring Harbor Laboratory)(2023)10.1101/2023.02.28.530537

N/A

0DataRank · unranked

1 citations

Seung Jun Shin, Elissa B. Dodd-Eaton, Jing Ning, Wenyi Wang, Nam H. Nguyen

LFSPROShiny: an interactive R/Shiny app for prediction and visualization of cancer risks in families with deleterious germline TP53 mutations

medRxiv(2023)10.1101/2023.08.11.23293956

N/A

0DataRank · unranked

0 citations

Elissa B. Dodd-Eaton, Gang Peng, Jessica Corredor, Wenwei Jiao, Jacynda Woodman-Ross +3 more

Validating risk prediction models for multiple primaries and competing cancer outcomes in families with Li-Fraumeni syndrome using clinically ascertained data at a single institute

medRxiv(2023)10.1101/2023.08.31.23294849

N/A

0DataRank · unranked

0 citations

Elissa B. Dodd-Eaton, Jessica Corredor, Jacynda Woodman-Ross, Sierra Green, Nathaniel D. Hernandez +4 more

LFSPROShiny: An Interactive R/Shiny App for Prediction and Visualization of Cancer Risks in Families With Deleterious Germline TP53 Mutations

JCO Clinical Cancer Informatics(2024)10.1200/cci.23.00167

N/A

0DataRank · unranked

4 citations

Elissa B. Dodd-Eaton, Gang Peng, Jessica Corredor, Wenwei Jiao, Jacynda Woodman-Ross +3 more

Personalized risk prediction for cancer survivors: A generalized Bayesian semiparametric model of recurrent events with competing outcomes

The Annals of Applied Statistics(2025)10.1214/25-aoas2083

N/A

0DataRank · unranked

1 citations

Seung Jun Shin, Elissa B. Dodd-Eaton, Jing Ning, Wenyi Wang, Nam Hoai Nguyen