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

Thomas Brettin

Argonne National Laboratory

ORCID: 0000-0001-9301-9760

Also affiliated with University of Chicago

Biochemistry, Genetics and Molecular BiologyEnvironmental ScienceComputer ScienceMaterials 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 1%percentile
6.1Author DataRank

Indexed papers

2in 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 2 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.

Introducing the Bacterial and Viral Bioinformatics Resource Center (BV-BRC): a resource combining PATRIC, IRD and ViPR

Nucleic Acids Research(2022)10.1093/nar/gkac1003
Top 4%
5.7DataRank
Top 4%1253 citations

Rida Assaf, Thomas Brettin, Neal Conrad, Clark Cucinell, James J. Davis +35 more

Papers

Driven by 15 papers — median percentile 75. Top paper: “Introducing the Bacterial and Viral Bioinformatics Resource Center (BV-BRC): a resource combining PATRIC, IRD and ViPR”.

Introducing the Bacterial and Viral Bioinformatics Resource Center (BV-BRC): a resource combining PATRIC, IRD and ViPR

Nucleic Acids Research(2022)10.1093/nar/gkac1003
Top 4%
5.7DataRank
Top 4%1253 citations

Rida Assaf, Thomas Brettin, Neal Conrad, Clark Cucinell, James J. Davis +35 more

Ensemble transfer learning for the prediction of anti-cancer drug response

Scientific Reports(2020)10.1038/s41598-020-74921-0
N/A
0.689DataRank · unranked
98 citations

Thomas Brettin, Yvonne A. Evrard, Alexander Partin, Fangfang Xia, Maulik Shukla +4 more

BV-BRC: a unified bacterial and viral bioinformatics resource with expanded functionality and AI integration

Nucleic Acids Research(2025)10.1093/nar/gkaf1254
Top 46%
0.396DataRank
Top 46%13 citations

Alice R. Wattam, Antonio Aleman, Roshni Bhattacharya, Nicole Bowers, Thomas Brettin +38 more

A cross-study analysis of drug response prediction in cancer cell lines

Briefings in Bioinformatics(2021)10.1093/bib/bbab356
N/A
0DataRank · unranked
99 citations

Jonathan Allen, Prasanna Balaprakash, Thomas Brettin, Cristina García–Cardona, Austin Clyde +19 more

A genomic data resource for predicting antimicrobial resistance from laboratory-derived antimicrobial susceptibility phenotypes

Briefings in Bioinformatics(2021)10.1093/bib/bbab313
N/A
0DataRank · unranked
40 citations

Marcus Nguyen, Derya Aytan-Aktug, Thomas Brettin, Emily Dietrich, Ronald W. Kenyon +12 more

Learning curves for drug response prediction in cancer cell lines

BMC Bioinformatics(2021)10.1186/s12859-021-04163-y
N/A
0DataRank · unranked
4 citations

Thomas Brettin, Yvonne A. Evrard, Yitan Zhu, Hyunseung Yoo, Fangfang Xia +7 more

Converting tabular data into images for deep learning with convolutional neural networks

Scientific Reports(2021)10.1038/s41598-021-90923-y
N/A
0DataRank · unranked
198 citations

Thomas Brettin, Fangfang Xia, Alexander Partin, Maulik Shukla, Hyunseung Yoo +4 more

Drug response prediction in patient-derived xenografts with data augmentation and multimodal deep learning.

Journal of Clinical Oncology(2022)10.1200/jco.2022.40.16_suppl.e13572
N/A
0DataRank · unranked
0 citations

Thomas Brettin, Yitan Zhu, Maulik Shukla, Fangfang Xia, Hyunseung Yoo +7 more

Deep learning methods for drug response prediction in cancer: Predominant and emerging trends

Frontiers in Medicine(2023)10.3389/fmed.2023.1086097
N/A
0DataRank · unranked
135 citations

Thomas Brettin, Yitan Zhu, Oleksandr Narykov, Austin Clyde, Jamie Overbeek +2 more

Data augmentation and multimodal learning for predicting drug response in patient-derived xenografts from gene expressions and histology images

Frontiers in Medicine(2023)10.3389/fmed.2023.1058919
N/A
0DataRank · unranked
13 citations

Thomas Brettin, Yitan Zhu, James M. Dolezal, Sara Kochanny, Alexander T. Pearson +5 more

Integration of Computational Docking into Anti-Cancer Drug Response Prediction Models

Cancers(2023)10.3390/cancers16010050
N/A
0DataRank · unranked
9 citations

Yitan Zhu, Thomas Brettin, Yvonne A. Evrard, Alexander Partin, Maulik Shukla +6 more

High Performance Binding Affinity Prediction with a Transformer-Based Surrogate Model

(2024)10.1109/ipdpsw63119.2024.00114
N/A
0DataRank · unranked
3 citations

Ozan Gökdemir, Alexander Brace, Arvind Ramanathan, Thomas Brettin, Rick Stevens +2 more

Data Imbalance in Drug Response Prediction - Multi-Objective Optimization Approach in Deep Learning Setting

bioRxiv (Cold Spring Harbor Laboratory)(2024)10.1101/2024.03.14.585074
N/A
0DataRank · unranked
1 citations

Yitan Zhu, Thomas Brettin, Yvonne A. Evrard, Alexander Partin, Fangfang Xia +5 more

Assessing Reusability of Deep Learning-Based Monotherapy Drug Response Prediction Models Trained with Omics Data

arXiv (Cornell University)(2024)10.48550/arxiv.2409.12215
N/A
0DataRank · unranked
0 citations

Alexander Partin, Thomas Brettin, Nicholas Chia, Oleksandr Narykov, Priyanka Vasanthakumari +19 more

Enhanced Co-Expression Extrapolation (COXEN) Gene Selection Method for Building Anti-Cancer Drug Response Prediction Models

Genes(2020)10.3390/genes11091070
N/A
0DataRank · unranked
14 citations

Thomas Brettin, Yvonne A. Evrard, Fangfang Xia, Alexander Partin, Maulik Shukla +4 more