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

Jessica Gibbs

University of Georgia

ORCID: 0000-0003-1785-0899

Also affiliated with University of California, San Francisco, University of California System

MedicineBiochemistry, 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

3.4Author 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 →

The highest-impact dataset this researcher has shared, ranked by DataRank — the single contribution doing the most to lift their data-sharing standing.

Expert tumor annotations and radiomics for locally advanced breast cancer in DCE-MRI for ACRIN 6657/I-SPY1

Scientific Data(2022)10.1038/s41597-022-01555-4

Top 7%

3.4DataRank

Top 7%18 citations

Sarthak Pati, Megh Bhalerao, Siddhesh Thakur, Nariman Jahani, Vivian Belenky +7 more

Papers

Driven by 15 papers — median percentile 93. Top paper: “Expert tumor annotations and radiomics for locally advanced breast cancer in DCE-MRI for ACRIN 6657/I-SPY1”.

Expert tumor annotations and radiomics for locally advanced breast cancer in DCE-MRI for ACRIN 6657/I-SPY1

Scientific Data(2022)10.1038/s41597-022-01555-4

Top 7%

3.4DataRank

Top 7%18 citations

Sarthak Pati, Megh Bhalerao, Siddhesh Thakur, Nariman Jahani, Vivian Belenky +7 more

Repeatability of Quantitative MRI Measurements in Normal Breast Tissue

Translational Oncology(2014)10.1593/tlo.13841

N/A

0.477DataRank · unranked

23 citations

Ella F. Jones, Ania Azziz, John Kornak, Lisa J. Wilmes, David C. Newitt +7 more

Effect of Longitudinal Variation in Tumor Volume Estimation for MRI-guided Personalization of Breast Cancer Neoadjuvant Treatment

Radiology Imaging Cancer(2023)10.1148/rycan.220126

N/A

0.373DataRank · unranked

8 citations

Teffany Joy Bareng, Jessica Gibbs, Wen Li, Elissa R. Price, Bonnie N. Joe +93 more

Tumor Sphericity Predicts Response in Neoadjuvant Chemotherapy for Invasive Breast Cancer

Tomography(2020)10.18383/j.tom.2020.00016

N/A

0DataRank · unranked

24 citations

David C. Newitt, Bo La Yun, Ella F. Jones, Vignesh A. Arasu, Lisa J. Wilmes +8 more

Circulating tumor DNA and magnetic resonance imaging to predict neoadjuvant chemotherapy response and recurrence risk

npj Breast Cancer(2021)10.1038/s41523-021-00239-3

N/A

0DataRank · unranked

53 citations

Wen Li, Denise M. Wolf, Christina Yau, Gillian L. Hirst, Lamorna Brown Swigart +12 more

Breast MRI during Neoadjuvant Chemotherapy: Lack of Background Parenchymal Enhancement Suppression and Inferior Treatment Response

Radiology(2021)10.1148/radiol.2021203645

N/A

0DataRank · unranked

37 citations

Wen Li, David C. Newitt, Roy Harnish, Fredrik Strand, Alex Nguyen +56 more

Diffusion-Weighted MRI for Predicting Pathologic Complete Response in Neoadjuvant Immunotherapy

Cancers(2022)10.3390/cancers14184436

N/A

0DataRank · unranked

23 citations

Nu N. Le, Natsuko Onishi, David C. Newitt, Lisa J. Wilmes, Jessica Gibbs +15 more

Predicting breast cancer response to neoadjuvant treatment using multi-feature MRI: results from the I-SPY 2 TRIAL

npj Breast Cancer(2020)10.1038/s41523-020-00203-7

N/A

0DataRank · unranked

83 citations

David C. Newitt, Jessica Gibbs, Lisa J. Wilmes, Ella F. Jones, Vignesh A. Arasu +57 more

Effect of Inter-Reader Variability on Diffusion-Weighted MRI Apparent Diffusion Coefficient Measurements and Prediction of Pathologic Complete Response for Breast Cancer

Tomography(2022)10.3390/tomography8030099

N/A

0DataRank · unranked

7 citations

Wen Li, Natsuko Onishi, David C. Newitt, Jessica Gibbs, Lisa J. Wilmes +8 more

355P Reduction of anthracycline use with a combined imaging and pathology prediction model in the neoadjuvant I-SPY2 trial

Annals of Oncology(2023)10.1016/j.annonc.2023.09.534

N/A

0DataRank · unranked

2 citations

Elizabeth Price, Sara J. Venters, Wěi Li, Denise M. Wolf, Jessica Gibbs +14 more

MRI-Based Model for Personalizing Neoadjuvant Treatment in Breast Cancer

Tomography(2025)10.3390/tomography11030026

N/A

0DataRank · unranked

4 citations

Natsuko Onishi, Jessica Gibbs, Lisa J. Wilmes, Nu N. Le, Pouya Metanat +12 more

CDK4/6 inhibition overcomes venetoclax resistance mechanisms with enhanced combination activity in acute myeloid leukemia

Cell Reports Medicine(2025)10.1016/j.xcrm.2025.102526

N/A

0DataRank · unranked

1 citations

Jessica Gibbs, Kevin Watanabe‐Smith, Ariel H. Nguyen, Isabel Kenna, Karina Thiel-Klare +12 more

Impact of Alternate b-Value Combinations and Metrics on the Predictive Performance and Repeatability of Diffusion-Weighted MRI in Breast Cancer Treatment: Results from the ECOG-ACRIN A6698 Trial

Tomography(2022)10.3390/tomography8020058

N/A

0DataRank · unranked

13 citations

Jon A. Steingrimsson, David C. Newitt, Jessica Gibbs, Helga S. Marques, Patrick J. Bolan +5 more

Impact of MRI Protocol Adherence on Prediction of Pathological Complete Response in the I-SPY 2 Neoadjuvant Breast Cancer Trial

Tomography(2020)10.18383/j.tom.2020.00006

N/A

0DataRank · unranked

17 citations

Wen Li, Jessica Gibbs, Lisa J. Wilmes, Alex Nguyen, Ella F. Jones +7 more

Comparison of Segmentation Methods in Assessing Background Parenchymal Enhancement as a Biomarker for Response to Neoadjuvant Therapy

Tomography(2020)10.18383/j.tom.2020.00009

N/A

0DataRank · unranked

11 citations

Vignesh A. Arasu, Fredrik Strand, Wen Li, Natsuko Onishi, Jessica Gibbs +6 more