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

Fangfang Xia

Argonne National Laboratory

ORCID: 0000-0001-6567-0564

Computer ScienceBiochemistry, Genetics and Molecular BiologyEngineeringEnvironmental 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

5.7Author 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.

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 14 papers — median percentile 96. 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

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

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

Detecting operons in bacterial genomes via visual representation learning

Scientific Reports(2021)10.1038/s41598-021-81169-9

N/A

0DataRank · unranked

17 citations

Fangfang Xia, Rick Stevens, Rida Assaf

Identifying genomic islands with deep neural networks

BMC Genomics(2021)10.1186/s12864-021-07575-5

N/A

0DataRank · unranked

10 citations

Fangfang Xia, Rick Stevens, Rida Assaf

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

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

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

C2H2 Zinc Finger Transcription Factors Associated with Hemoglobinopathies

Journal of Molecular Biology(2023)10.1016/j.jmb.2023.168343

N/A

0DataRank · unranked

14 citations

Fangfang Xia, Xiaotian Zhang, Robert Blumenthal, Xiaodong Cheng, Xing Zhang

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

Crowd-sourced machine learning prediction of long COVID using data from the National COVID Cohort Collaborative

EBioMedicine(2024)10.1016/j.ebiom.2024.105333

N/A

0DataRank · unranked

4 citations

Johanna J. Loomba, Emily Pfaff, Fangfang Xia, Zixuan Zhao, Yitan Zhu +90 more

Large-scale stretchable neuromorphic circuits for on-body edge processing of sensory data

ChemRxiv(2024)10.26434/chemrxiv-2024-80dvr

N/A

0DataRank · unranked

2 citations

Zixuan Zhao, Max Weires, Shiyu Hu, Yang Li, Lingfeng Tang +17 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