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

Lauren E. Koval

University of North Carolina at Chapel Hill

ORCID: 0000-0001-5582-9383

Environmental ScienceComputer ScienceBiochemistry, Genetics and Molecular BiologyVeterinary

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

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 →

The highest-impact dataset this researcher has shared, ranked by DataRank — the single contribution doing the most to lift their data-sharing standing.

Identifying Gene Predictors of Chemicals Linked With Breast Cancer: A Machine Learning Analysis of MCF7 Cellular Transcriptomic Screening Data

Environmental and Molecular Mutagenesis(2025)10.1002/em.70034

Top 100%

0DataRank

Top 100%0 citations

Richard Judson, Julia E. Rager, Lauren E. Koval

Papers

Driven by 12 papers — median percentile 0. Top paper: “Extracellular vesicles altered by a per- and polyfluoroalkyl substance mixture:in vitrodose-dependent release, chemical content, and microRNA signatures involved in liver health”.

Extracellular vesicles altered by a per- and polyfluoroalkyl substance mixture:in vitrodose-dependent release, chemical content, and microRNA signatures involved in liver health

Toxicological Sciences(2023)10.1093/toxsci/kfad108

N/A

0.406DataRank · unranked

14 citations

Jacqueline Bangma, Lauren E. Koval, Deepak Keshava, Hadley J. Hartwell, Marina Sokolsky‐Papkov +3 more

A multi‐omic approach identifies an autism spectrum disorder (ASD) regulatory complex of functional epimutations in placentas from children born preterm

Autism Research(2023)10.1002/aur.2915

N/A

0.385DataRank · unranked

12 citations

Jeliyah Clark, Lauren A. Eaves, Kyle R. Roell, Ali Oran, Lauren E. Koval +10 more

Chemical Mixtures in Household Environments: In Silico Predictions and In Vitro Testing of Potential Joint Action on PPARγ in Human Liver Cells

Toxics(2022)10.3390/toxics10050199

N/A

0.330DataRank · unranked

8 citations

Toby Turla, Lauren E. Koval, Hadley J. Hartwell, Rebecca C. Fry, Julia E. Rager +1 more

Development of the InTelligence And Machine LEarning (TAME) Toolkit for Introductory Data Science, Chemical-Biological Analyses, Predictive Modeling, and Database Mining for Environmental Health Research

UNC Libraries(2022)10.17615/9yrf-vs79

N/A

0DataRank · unranked

0 citations

Ilona Jaspers, Lauren E. Koval, Cynthia V. Rider, Rebecca C. Fry, Rebecca Boyles +6 more

The environmental neuroactive chemicals list of prioritized substances for human biomonitoring and neurotoxicity testing: A database and high-throughput toxicokinetics approach

Environmental Research(2024)10.1016/j.envres.2024.120537

N/A

0DataRank · unranked

4 citations

Lauren E. Koval, Elise Hickman, Caroline Ring, Taylor Teitelbaum, Todd J. Cohen +6 more

Epigenetic mechanisms underlying endometrial cancer outcomes: race-specific patterns of DNA methylation associated with molecular subtypes and survival

Carcinogenesis(2025)10.1093/carcin/bgaf004

N/A

0DataRank · unranked

4 citations

Lauren E. Koval, David L. Corcoran, Lauren A. Eaves, Kyle R. Roell, Julia E. Rager +9 more

TAME 2.0: expanding and improving online data science training for environmental health research

Frontiers in Toxicology(2025)10.3389/ftox.2025.1535098

N/A

0DataRank · unranked

2 citations

Elise Hickman, Jessie R. Chappel, Kyle R. Roell, Lauren E. Koval, Lauren A. Eaves +15 more

Identifying Gene Predictors of Chemicals Linked With Breast Cancer: A Machine Learning Analysis of MCF7 Cellular Transcriptomic Screening Data

Environmental and Molecular Mutagenesis(2025)10.1002/em.70034

Top 100%

0DataRank

Top 100%0 citations

Richard Judson, Julia E. Rager, Lauren E. Koval

Wildfire Variable Toxicity: Identifying Biomass Smoke Exposure Groupings through Transcriptomic Similarity Scoring

Environmental Science & Technology(2022)10.1021/acs.est.2c06043

N/A

0DataRank · unranked

30 citations

Celeste K. Carberry, Yong Ho Kim, Elena McDermott, Hadley J. Hartwell, Ilona Jaspers +3 more

TAME 2.0: expanding and improving online data science training for environmental health research

UNC Libraries(2025)10.17615/94s3-dv03

N/A

0DataRank · unranked

0 citations

Jessie R. Chappel, Sarah L. Miller, David M. Reif, Grace Patlewicz, Julia E. Rager +15 more

Development of the InTelligence And Machine LEarning (TAME) Toolkit for Introductory Data Science, Chemical-Biological Analyses, Predictive Modeling, and Database Mining for Environmental Health Research

Frontiers in Toxicology(2022)10.3389/ftox.2022.893924

N/A

0DataRank · unranked

11 citations

Lauren E. Koval, Rebecca Boyles, Grace Patlewicz, Caroline Ring, Cynthia V. Rider +6 more

Chemical Mixtures in Household Environments: In Silico Predictions and In Vitro Testing of Potential Joint Action on PPARγ in Human Liver Cells

UNC Libraries(2022)10.17615/r4y2-gb91

N/A

0DataRank · unranked

0 citations

Julia E. Rager, Rebecca C. Fry, Celeste K. Carberry, Toby Turla, Lauren E. Koval +1 more