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

Joseph D. Romano

Translational Therapeutics (United States)

ORCID: 0000-0002-7999-4399

Also affiliated with University of Pennsylvania, Philadelphia University

Computer ScienceBiochemistry, Genetics and Molecular BiologyPhysics and AstronomyEarth and Planetary Sciences

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 5%percentile

0.359Author 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.

PMLB v1.0: an open-source dataset collection for benchmarking machine learning methods

Bioinformatics(2021)10.1093/bioinformatics/btab727

Top 49%

0.359DataRank

Top 49%4 citations

Trang T. Le, William La Cava, John Gregg, Daniel J. Goldberg, Praneel Chakraborty +5 more

Papers

Driven by 18 papers — median percentile 51. Top paper: “Centralized and Federated Models for the Analysis of Clinical Data”.

Centralized and Federated Models for the Analysis of Clinical Data

Annual Review of Biomedical Data Science(2024)10.1146/annurev-biodatasci-122220-115746

N/A

0.777DataRank · unranked

20 citations

Joseph D. Romano, Yong Chen, Jason H. Moore, Ruowang Li

Network-based analyses of multiomics data in biomedicine

BioData Mining(2025)10.1186/s13040-025-00452-x

N/A

0.360DataRank · unranked

10 citations

Joseph D. Romano, Marylyn D. Ritchie, Rachit Kumar

PMLB v1.0: an open-source dataset collection for benchmarking machine learning methods

Bioinformatics(2021)10.1093/bioinformatics/btab727

Top 49%

0.359DataRank

Top 49%4 citations

Trang T. Le, William La Cava, John Gregg, Daniel J. Goldberg, Praneel Chakraborty +5 more

Discovering Venom-Derived Drug Candidates Using Differential Gene Expression

Toxins(2023)10.3390/toxins15070451

N/A

0.312DataRank · unranked

7 citations

Hai Li, Tanya Napolitano, Ronald Realubit, Charles Karan, Mandë Holford +2 more

Improving QSAR Modeling for Predictive Toxicology using Publicly Aggregated Semantic Graph Data and Graph Neural Networks

bioRxiv (Cold Spring Harbor Laboratory)(2021)10.1101/2021.08.08.455550

N/A

0.303DataRank · unranked

3 citations

Yun Hao, Jason H. Moore, Joseph D. Romano

Knowledge-guided deep learning models of drug toxicity improve interpretation

Patterns(2022)10.1016/j.patter.2022.100565

N/A

0DataRank · unranked

39 citations

Joseph D. Romano, Jason H. Moore, Yun Hao

Automating Predictive Toxicology Using ComptoxAI

Chemical Research in Toxicology(2022)10.1021/acs.chemrestox.2c00074

N/A

0DataRank · unranked

20 citations

Yun Hao, Jason H. Moore, T.M. Penning, Joseph D. Romano

Omics Methods in Toxins Research—A Toolkit to Drive the Future of Scientific Inquiry

(2022)10.3390/toxins14110761

N/A

0DataRank · unranked

1 citations

Joseph D. Romano

Knowledge-guided deep learning models of drug toxicity improve interpretation

bioRxiv (Cold Spring Harbor Laboratory)(2022)10.1101/2022.02.28.482300

N/A

0DataRank · unranked

2 citations

Joseph D. Romano, Jason H. Moore, Yun Hao

KNOWLEDGE GRAPH AIDS COMPREHENSIVE EXPLANATION OF DRUG TOXICITY

bioRxiv (Cold Spring Harbor Laboratory)(2022)10.1101/2022.10.07.511348

N/A

0DataRank · unranked

0 citations

Joseph D. Romano, Jason H. Moore, Yun Hao

Exploring genetic influences on adverse outcome pathways using heuristic simulation and graph data science

Computational Toxicology(2023)10.1016/j.comtox.2023.100261

N/A

0DataRank · unranked

6 citations

Liang Mei, Jonathan Senn, Jason H. Moore, Holly M. Mortensen, Joseph D. Romano

Extending Tree-Based Automated Machine Learning to Biomedical Image and Text Data Using Custom Feature Extractors

(2023)10.1145/3583133.3590584

N/A

0DataRank · unranked

2 citations

Joseph D. Romano, Marylyn D. Ritchie, Jason H. Moore, Rachit Kumar

Ten simple rules for writing a paper about scientific software

PLoS Computational Biology(2020)10.1371/journal.pcbi.1008390

N/A

0DataRank · unranked

8 citations

Jason H. Moore, Joseph D. Romano

DRIVE-KG: Enhancing variant-phenotype association discovery in understudied complex diseases using heterogeneous knowledge graphs

medRxiv(2025)10.1101/2025.08.19.25333942

N/A

0DataRank · unranked

0 citations

Tram Anh Thi Nguyen, Lindsay Guare, Andre Luis Garao Rico, Rasika Venkatesh, Lannawill Caruth +7 more

Embedding covariate adjustments in tree-based automated machine learning for biomedical big data analyses

BMC Bioinformatics(2020)10.1186/s12859-020-03755-4

N/A

0DataRank · unranked

28 citations

Weixuan Fu, Joseph D. Romano, Stefano Ruberto, Jason H. Moore, Elisabetta Manduchi

Embedding covariate adjustments in tree-based automated machine learning for biomedical big data analyses

bioRxiv (Cold Spring Harbor Laboratory)(2020)10.1101/2020.08.24.265116

N/A

0DataRank · unranked

1 citations

Weixuan Fu, Joseph D. Romano, Stefano Ruberto, Jason H. Moore, Elisabetta Manduchi

TPOT-NN: augmenting tree-based automated machine learning with neural network estimators

Genetic Programming and Evolvable Machines(2021)10.1007/s10710-021-09401-z

N/A

0DataRank · unranked

32 citations

Trang T. Le, Weixuan Fu, Jason H. Moore, Joseph D. Romano

The promise of automated machine learning for the genetic analysis of complex traits

Human Genetics(2021)10.1007/s00439-021-02393-x

N/A

0DataRank · unranked

25 citations

Joseph D. Romano, Jason H. Moore, Elisabetta Manduchi