Matthew W. Wheeler

MathematicsBiochemistry, Genetics and Molecular BiologyDecision SciencesComputer Science

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 15 papers. Top paper: “Updated population minimal eliciting dose distributions for use in risk assessment of 14 priority food allergens”.

Updated population minimal eliciting dose distributions for use in risk assessment of 14 priority food allergens

Food and Chemical Toxicology(2020)10.1016/j.fct.2020.111259

N/A

0DataRank · unranked

196 citations

Joost Westerhout, Marie Y. Meima, W. Marty Blom, Astrid G. Kruizinga, Matthew W. Wheeler +4 more

Full range of population Eliciting Dose values for 14 priority allergenic foods and recommendations for use in risk characterization

Food and Chemical Toxicology(2020)10.1016/j.fct.2020.111831

N/A

0DataRank · unranked

140 citations

Joseph L. Baumert, W. Marty Blom, Astrid G. Kruizinga, Marie Y. Meima, Benjamin C. Remington +4 more

Quantitative Risk Assessment: Developing a Bayesian Approach to Dichotomous Dose–Response Uncertainty

Risk Analysis(2020)10.1111/risa.13537

N/A

0DataRank · unranked

17 citations

Todd Blessinger, Kan Shao, Bruce C. Allen, Louis Olszyk, Jerry Davis +2 more

An extended and unified modeling framework for benchmark dose estimation for both continuous and binary data

Environmetrics(2020)10.1002/env.2630

N/A

0DataRank · unranked

10 citations

Matthew W. Wheeler, José Cortiñas Abrahantes, Marc Aerts

Bayesian Stacked Parametric Survival with Frailty Components and Interval‐Censored Failure Times: An Application to Food Allergy Risk

Risk Analysis(2020)10.1111/risa.13585

N/A

0DataRank · unranked

31 citations

Joost Westerhout, Joe L. Baumert, Benjamin C. Remington, Matthew W. Wheeler

The COVID-19 Pandemic Vulnerability Index (PVI) Dashboard: Monitoring County-Level Vulnerability Using Visualization, Statistical Modeling, and Machine Learning

Environmental Health Perspectives(2021)10.1289/ehp8690

N/A

0DataRank · unranked

93 citations

John S. House, Matthew W. Wheeler, Kuncheng Song, Yi‐Hui Zhou, Fred A. Wright +5 more

ALOHA: Aggregated local extrema splines for high-throughput dose–response analysis

Computational Toxicology(2021)10.1016/j.comtox.2021.100196

N/A

0DataRank · unranked

1 citations

Matthew W. Wheeler, Scott S. Auerbach, Siva Sivaganesan, Mario Medvedovic, Sarah E. Davidson

ALOHA: Aggregated local extrema splines for high-throughput dose-response analysis

bioRxiv (Cold Spring Harbor Laboratory)(2021)10.1101/2021.03.29.437588

N/A

0DataRank · unranked

0 citations

Matthew W. Wheeler, Scott S. Auerbach, Siva Sivaganesan, Mario Medvedovic, Sarah E. Davidson

ToxicR: A computational platform in R for computational toxicology and dose–response analyses

Computational Toxicology(2022)10.1016/j.comtox.2022.100259

N/A

0DataRank · unranked

21 citations

Sooyeong Lim, John S. House, Keith R. Shockley, A. John Bailer, Jennifer Fostel +8 more

Continuous model averaging for benchmark dose analysis: Averaging over distributional forms

Environmetrics(2022)10.1002/env.2728

N/A

0DataRank · unranked

16 citations

José Cortiñas Abrahantes, Marc Aerts, Jeffery S. Gift, Jerry Davis, Matthew W. Wheeler

Fast Increased Fidelity Samplers for Approximate Bayesian Gaussian Process Regression

Journal of the Royal Statistical Society Series B (Statistical Methodology)(2022)10.1111/rssb.12494

N/A

0DataRank · unranked

5 citations

Matthew W. Wheeler, Kelly R. Moran

An investigation of non-informative priors for Bayesian dose-response modeling

Regulatory Toxicology and Pharmacology(2023)10.1016/j.yrtph.2023.105389

N/A

0DataRank · unranked

10 citations

Matthew W. Wheeler

Bayesian gene set benchmark dose estimation for “omic” responses

Bioinformatics(2024)10.1093/bioinformatics/btaf008

N/A

0DataRank · unranked

1 citations

Kyle P. Messier, John S. House, Fred Parham, Scott S. Auerbach, Matthew W. Wheeler +1 more

A hierarchical constrained density regression model for predicting cluster‐level dose‐response

Environmetrics(2024)10.1002/env.2880

N/A

0DataRank · unranked

0 citations

Matthew W. Wheeler, Scott S. Auerbach, Michael L. Pennell

Extracellular Vesicle (EV) Mechanisms of Toxicity for Per and Polyfluoroalkyl Substances: Comparing Transcriptomic Points of Departure Across Global Versus EV Regulatory Gene Sets

Environmental and Molecular Mutagenesis(2025)10.1002/em.70008

N/A

0DataRank · unranked

3 citations

Hadley J. Hartwell, Cynthia V. Rider, Matthew W. Wheeler, Scott S. Auerbach, Julia E. Rager +1 more