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

Preethi Thunga

Vertex Pharmaceuticals (United States)

ORCID: 0000-0001-5447-0129
Biochemistry, Genetics and Molecular BiologyEnvironmental 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 2%percentile
2.5Author 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.

Systematic developmental toxicity assessment of a structurally diverse library of PFAS in zebrafish

Journal of Hazardous Materials(2022)10.1016/j.jhazmat.2022.128615
Top 9%
2.5DataRank
Top 9%97 citations

Yvonne Rericha, Preethi Thunga, Skylar W. Marvel, Dylan J. Wallis, Michael T. Simonich +5 more

Papers

Driven by 6 papers — median percentile 91. Top paper: “Systematic developmental toxicity assessment of a structurally diverse library of PFAS in zebrafish”.

Systematic developmental toxicity assessment of a structurally diverse library of PFAS in zebrafish

Journal of Hazardous Materials(2022)10.1016/j.jhazmat.2022.128615
Top 9%
2.5DataRank
Top 9%97 citations

Yvonne Rericha, Preethi Thunga, Skylar W. Marvel, Dylan J. Wallis, Michael T. Simonich +5 more

Concurrent Evaluation of Mortality and Behavioral Responses: A Fast and Efficient Testing Approach for High-Throughput Chemical Hazard Identification

Frontiers in Toxicology(2021)10.3389/ftox.2021.670496
N/A
0DataRank · unranked
8 citations

Lisa Truong, Robyn L. Tanguay, David M. Reif, Preethi Thunga

The Ahr2-Dependent wfikkn1 Gene Influences Zebrafish Transcriptome, Proteome, and Behavior

Toxicological Sciences(2022)10.1093/toxsci/kfac037
N/A
0DataRank · unranked
13 citations

Gloria R. Garcia, Jane K. La Du, Christopher M. Sullivan, Cheryl L. Dunham, Britton C. Goodale +7 more

Leveraging a High-Throughput Screening Method to Identify Mechanisms of Individual Susceptibility Differences in a Genetically Diverse Zebrafish Model

Frontiers in Toxicology(2022)10.3389/ftox.2022.846221
N/A
0DataRank · unranked
4 citations

Jane La Du, Preethi Thunga, Daniel J. Elson, Lisa Truong, Siva K. Kolluri +3 more

Deep autoencoder-based behavioral pattern recognition outperforms standard statistical methods in high-dimensional zebrafish studies

bioRxiv (Cold Spring Harbor Laboratory)(2023)10.1101/2023.09.13.557544
N/A
0DataRank · unranked
1 citations

Lisa Truong, Preethi Thunga, Connor Leong, Melody Hancock, Robert L. Tanguay +2 more

Deep autoencoder-based behavioral pattern recognition outperforms standard statistical methods in high-dimensional zebrafish studies

PLoS Computational Biology(2024)10.1371/journal.pcbi.1012423
N/A
0DataRank · unranked
9 citations

Lisa Truong, Preethi Thunga, Connor Leong, Melody Hancock, Robyn L. Tanguay +2 more