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

Lauren J. Beesley

Los Alamos National Laboratory

ORCID: 0000-0002-3788-5944

Also affiliated with Los Alamos National Security (United States)

MedicineMathematics

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 3%percentile
1.0Author DataRank

Indexed papers

3in 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 3 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.

COVID-19 Outcomes by Cancer Status, Site, Treatment, and Vaccination

Cancer Epidemiology Biomarkers & Prevention(2023)10.1158/1055-9965.epi-22-0607
Top 32%
0.614DataRank
Top 32%13 citations

Miriam M. Hu, Lauren J. Beesley, Alison M. Mondul, Celeste Leigh Pearce, Christopher R. Friese +3 more

Papers

Driven by 16 papers — median percentile 61. Top paper: “Exploring various polygenic risk scores for skin cancer in the phenomes of the Michigan genomics initiative and the UK Biobank with a visual catalog: PRSWeb”.

Exploring various polygenic risk scores for skin cancer in the phenomes of the Michigan genomics initiative and the UK Biobank with a visual catalog: PRSWeb

PLOS Genetics(2019)10.1371/journal.pgen.1008202
N/A
1.7DataRank · unranked
35 citations

Lauren J. Beesley, Peter VandeHaar, Robert B. Peng, Maxwell Salvatore, Matthew Zawistowski +13 more

COVID-19 Outcomes by Cancer Status, Site, Treatment, and Vaccination

Cancer Epidemiology Biomarkers & Prevention(2023)10.1158/1055-9965.epi-22-0607
Top 32%
0.614DataRank
Top 32%13 citations

Miriam M. Hu, Lauren J. Beesley, Alison M. Mondul, Celeste Leigh Pearce, Christopher R. Friese +3 more

Cancer PRSweb – an Online Repository with Polygenic Risk Scores (PRS) for Major Cancer Traits and Their Phenome-wide Exploration in Two Independent Biobanks

bioRxiv (Cold Spring Harbor Laboratory)(2020)10.1101/2020.01.22.915751
Top 47%
0.389DataRank
Top 47%4 citations

Snehal Patil, Lauren J. Beesley, Peter VandeHaar, Maxwell Salvatore, Robert B. Peng +4 more

Accounting for not‐at‐random missingness through imputation stacking

Statistics in Medicine(2021)10.1002/sim.9174
N/A
0DataRank · unranked
5 citations

Jeremy M. G. Taylor, Lauren J. Beesley

Multiple imputation with missing data indicators

Statistical Methods in Medical Research(2021)10.1177/09622802211047346
N/A
0DataRank · unranked
0 citations

Irina Bondarenko, Michael R. Elliott, Allison W. Kurian, Steven J. Katz, Jeremy M. G. Taylor +1 more

Variable Selection with Multiply-Imputed Datasets: Choosing Between Stacked and Grouped Methods

Journal of Computational and Graphical Statistics(2022)10.1080/10618600.2022.2035739
N/A
0DataRank · unranked
46 citations

Jonathan Boss, Peisong Han, Lauren J. Beesley, Michael Kleinsasser, Stephen A. Goutman +4 more

Addressing delayed case reporting in infectious disease forecast modeling

PLoS Computational Biology(2022)10.1371/journal.pcbi.1010115
N/A
0DataRank · unranked
23 citations

Dave Osthus, Sara Y. Del Valle, Lauren J. Beesley

Phenotype risk scores (PheRS) for pancreatic cancer using time-stamped electronic health record data: Discovery and validation in two large biobanks

Journal of Biomedical Informatics(2020)10.1016/j.jbi.2020.103652
N/A
0DataRank · unranked
31 citations

Lauren J. Beesley, Lars G. Fritsche, David A. Hanauer, Xu Shi, Alison M. Mondul +3 more

COVID-19 outcomes by cancer status, type, treatment, and vaccination

medRxiv(2022)10.1101/2022.04.19.22274047
N/A
0DataRank · unranked
0 citations

Miriam M. Hu, Lauren J. Beesley, Alison M. Mondul, Celeste Leigh Pearce, Christopher R. Friese +3 more

Multi-dimensional resilience: A quantitative exploration of disease outcomes and economic, political, and social resilience to the COVID-19 pandemic in six countries

PLoS ONE(2023)10.1371/journal.pone.0279894
N/A
0DataRank · unranked
9 citations

Paolo Patelli, Kimberly Kaufeld, Jon Schwenk, Kaitlyn Martinez, Travis Pitts +4 more

Comparing Individualized Survival Predictions From Random Survival Forests and Multistate Models in the Presence of Missing Data: A Case Study of Patients With Oropharyngeal Cancer

Cancer Informatics(2023)10.1177/11769351231183847
N/A
0DataRank · unranked
1 citations

Lauren J. Beesley, Emily L. Bellile, Andrew G. Shuman, Laura S. Rozek, Jeremy M. G. Taylor +1 more

Mapping Incidence and Prevalence Peak Data for SIR Forecasting Applications

arXiv (Cornell University)(2024)10.48550/arxiv.2404.15572
N/A
0DataRank · unranked
0 citations

Graham Casey Gibson, Lauren J. Beesley, Nishant Panda, Lauren Castro, Sara Y. Del Valle +2 more

Mapping Incidence and Prevalence Peak Data for SIR Modeling Applications

Journal of Mathematical Biology(2025)10.1007/s00285-025-02299-6
N/A
0DataRank · unranked
1 citations

Graham Casey Gibson, Lauren J. Beesley, Nishant Panda, Lauren Castro, Sara Y. Del Valle +3 more

Extending the susceptible‐exposed‐infected‐removed (SEIR) model to handle the false negative rate and symptom‐based administration of COVID‐19 diagnostic tests: SEIR‐fansy

Statistics in Medicine(2022)10.1002/sim.9357
N/A
0DataRank · unranked
26 citations

Ritoban Kundu, Soumik Purkayastha, Michael Kleinsasser, Lauren J. Beesley, Bhramar Mukherjee +2 more

A stacked approach for chained equations multiple imputation incorporating the substantive model

Biometrics(2020)10.1111/biom.13372
N/A
0DataRank · unranked
1 citations

Jeremy M. G. Taylor, Lauren J. Beesley

Development and Assessment of a Model for Predicting Individualized Outcomes in Patients With Oropharyngeal Cancer

JAMA Network Open(2021)10.1001/jamanetworkopen.2021.20055
N/A
0DataRank · unranked
17 citations

Andrew G. Shuman, Michelle Mierzwa, Emily L. Bellile, Benjamin Rosen, Keith Casper +9 more