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

Yvonne A. Evrard

Leidos (United States)

ORCID: 0000-0002-3475-4850

Also affiliated with Frederick National Laboratory for Cancer Research, Leidos Biomedical Research Inc. (United States)

MedicineComputer ScienceBiochemistry, Genetics and Molecular Biology

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
4.4Author DataRank

Indexed papers

7in 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 7 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.

PDX-MI: Minimal Information for Patient-Derived Tumor Xenograft Models

Cancer Research(2017)10.1158/0008-5472.can-17-0582
Top 6%
4.0DataRank
Top 6%130 citations

Nathalie Conte, Giorgio Inghirami, Mark A. Murakami, Sebastian Brabetz, Zhiping Gu +57 more

Papers

Driven by 29 papers — median percentile 0. Top paper: “PDX-MI: Minimal Information for Patient-Derived Tumor Xenograft Models”.

PDX-MI: Minimal Information for Patient-Derived Tumor Xenograft Models

Cancer Research(2017)10.1158/0008-5472.can-17-0582
Top 6%
4.0DataRank
Top 6%130 citations

Nathalie Conte, Giorgio Inghirami, Mark A. Murakami, Sebastian Brabetz, Zhiping Gu +57 more

A Pan-Cancer Patient-Derived Xenograft Histology Image Repository with Genomic and Pathologic Annotations Enables Deep Learning Analysis

Cancer Research(2024)10.1158/0008-5472.can-23-1349
Top 62%
0.222DataRank
Top 62%3 citations

Xing Yi Woo, Soner Koc, Todd Sheridan, Steven B. Neuhauser, Shidan Wang +49 more

PDXNet Portal: Patient-Derived Xenograft model, data, workflow, and tool discovery

bioRxiv (Cold Spring Harbor Laboratory)(2021)10.1101/2021.10.15.464537
Top 72%
0.110DataRank
Top 72%1 citations

Michael W. Lloyd, Jeffrey Grover, Sara Seepo, Sai Lakshmi Subramanian, Manisha Ray +34 more

S1 from PDX-MI: Minimal Information for Patient-Derived Tumor Xenograft Models

(2023)10.1158/0008-5472.22419099
N/A
0DataRank · unranked
0 citations

Nathalie Conte, Giorgio Inghirami, Mark A. Murakami, Sebastian Brabetz, Zhiping Gu +57 more

S1 from PDX-MI: Minimal Information for Patient-Derived Tumor Xenograft Models

Figshare(2023)10.1158/0008-5472.22419099.v1
N/A
0DataRank · unranked
0 citations

Nathalie Conte, Giorgio Inghirami, Mark A. Murakami, Sebastian Brabetz, Zhiping Gu +58 more

Data from PDX-MI: Minimal Information for Patient-Derived Tumor Xenograft Models

(2024)10.1158/0008-5472.c.6510291
Top 100%
0DataRank
Top 100%0 citations

Nathalie Conte, Giorgio Inghirami, Mark A. Murakami, Sebastian Brabetz, Zhiping Gu +58 more

Supplementary Video S1 from PDX-MI: Minimal Information for Patient-Derived Tumor Xenograft Models

(2024)10.1158/0008-5472.26366789
N/A
0DataRank · unranked
0 citations

Nathalie Conte, Giorgio Inghirami, Mark A. Murakami, Sebastian Brabetz, Zhiping Gu +57 more

S1 from PDX-MI: Minimal Information for Patient-Derived Tumor Xenograft Models

Figshare(2024)10.1158/0008-5472.26326774.v1
N/A
0DataRank · unranked
0 citations

Nathalie Conte, Giorgio Inghirami, Mark A. Murakami, Sebastian Brabetz, Zhiping Gu +57 more

Supplementary Video S1 from PDX-MI: Minimal Information for Patient-Derived Tumor Xenograft Models

Figshare(2024)10.1158/0008-5472.26326771.v1
N/A
0DataRank · unranked
0 citations

Nathalie Conte, Giorgio Inghirami, Mark A. Murakami, Sebastian Brabetz, Zhiping Gu +58 more

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

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

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

Genomic characterization of preclinical models derived from primary and metastatic sites from rapid autopsy patients in PDMR.

Journal of Clinical Oncology(2020)10.1200/jco.2020.38.15_suppl.e13506
Top 100%
0DataRank
Top 100%0 citations

Rajesh Patidar, Biswajit Das, Yvonne A. Evrard, Chris Karlovich, Tomas Vilimas +15 more

TPM, FPKM, or Normalized Counts? A Comparative Study of Quantification Measures for the Analysis of RNA-seq Data from the NCI Patient-Derived Models Repository

Journal of Translational Medicine(2021)10.1186/s12967-021-02936-w
N/A
0DataRank · unranked
524 citations

Ming‐Chung Li, Mariam M. Konaté, Li Chen, Biswajit Das, Chris Karlovich +5 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

Conservation of copy number profiles during engraftment and passaging of patient-derived cancer xenografts

Nature Genetics(2021)10.1038/s41588-020-00750-6
N/A
0DataRank · unranked
193 citations

Jessica Giordano, Anuj Srivastava, Min Jin Ha, Michael W. Lloyd, Roebi de Bruijn +57 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

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

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

A pan-cancer PDX histology image repository with genomic and pathological annotations for deep learning analysis

bioRxiv (Cold Spring Harbor Laboratory)(2022)10.1101/2022.10.26.512745
Top 100%
0DataRank
Top 100%0 citations

X. Woo, Soner Koc, Todd Sheridan, Steven B. Neuhauser, Shidan Wang +45 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

Data from Monitoring Drug-Induced γH2AX as a Pharmacodynamic Biomarker in Individual Circulating Tumor Cells

(2023)10.1158/1078-0432.c.6519651
N/A
0DataRank · unranked
0 citations

Thomas D. Pfister, Ralph E. Parchment, Shivaani Kummar, Larry Rubinstein, Yvonne A. Evrard +6 more

Assessment of Patient-Derived Xenograft Growth and Antitumor Activity: The NCI PDXNet Consensus Recommendations

Molecular Cancer Therapeutics(2024)10.1158/1535-7163.mct-23-0471
N/A
0DataRank · unranked
21 citations

Michael W. Lloyd, Soner Koc, Yvonne A. Evrard, Lisa M. McShane, Michael T. Lewis +29 more

STRprofiler: efficient comparisons of short tandem repeat profiles for biomedical model authentication

Bioinformatics(2024)10.1093/bioinformatics/btae713
N/A
0DataRank · unranked
2 citations

Michael W. Lloyd, Steven B. Neuhauser, Margaret Bundy, Emily L. Jocoy, Susan Airhart +5 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

Data from PDX-MI: Minimal Information for Patient-Derived Tumor Xenograft Models

(2023)10.1158/0008-5472.c.6510291.v1
Top 100%
0DataRank
Top 100%0 citations

Nathalie Conte, Giorgio Inghirami, Mark A. Murakami, Sebastian Brabetz, Zhiping Gu +59 more

Preclinical NCI-MPACT: prospective modeling of the mutation-based NCI-MPACT clinical trial therapeutic strategy in patient-derived xenograft models

Frontiers in Oncology(2025)10.3389/fonc.2025.1571635
N/A
0DataRank · unranked
1 citations

Sergio Y. Alcoser, MICHAEL E. MULLENDORE, Li Chen, Chih-Jian Lih, Vishnuprabha Rahul Kannan +18 more

S1 from PDX-MI: Minimal Information for Patient-Derived Tumor Xenograft Models

Figshare(2024)10.1158/0008-5472.26366795.v1
N/A
0DataRank · unranked
0 citations

Nathalie Conte, Giorgio Inghirami, Mark A. Murakami, Sebastian Brabetz, Zhiping Gu +57 more

S1 from PDX-MI: Minimal Information for Patient-Derived Tumor Xenograft Models

(2024)10.1158/0008-5472.26366795
N/A
0DataRank · unranked
0 citations

Nathalie Conte, Giorgio Inghirami, Mark A. Murakami, Sebastian Brabetz, Zhiping Gu +58 more