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

Ella F. Jones

University of California, San Francisco

ORCID: 0000-0001-8700-2129

Also affiliated with Manchester Academic Health Science Centre, University of Manchester

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
2.4Author 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 →

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.

Standardization in Quantitative Imaging: A Multicenter Comparison of Radiomic Features from Different Software Packages on Digital Reference Objects and Patient Data Sets

Tomography(2020)10.18383/j.tom.2019.00031
Top 9%
2.4DataRank
Top 9%75 citations

Sandy Napel, Arjun Jaggi, Sarah A. Mattonen, Lubomir M. Hadjiiski, Mark Muzi +24 more

Papers

Driven by 13 papers — median percentile 91. Top paper: “Standardization in Quantitative Imaging: A Multicenter Comparison of Radiomic Features from Different Software Packages on Digital Reference Objects and Patient Data Sets”.

Standardization in Quantitative Imaging: A Multicenter Comparison of Radiomic Features from Different Software Packages on Digital Reference Objects and Patient Data Sets

Tomography(2020)10.18383/j.tom.2019.00031
Top 9%
2.4DataRank
Top 9%75 citations

Sandy Napel, Arjun Jaggi, Sarah A. Mattonen, Lubomir M. Hadjiiski, Mark Muzi +24 more

Predictive Value of Breast MRI Background Parenchymal Enhancement for Neoadjuvant Treatment Response among HER2− Patients

Journal of Breast Imaging(2020)10.1093/jbi/wbaa028
N/A
0DataRank · unranked
20 citations

Paul Kim, Wen Li, Fredrik Strand, Cody McHargue, Roy Harnish +8 more

Evaluation of primary breast cancers using dedicated breast PET and whole-body PET

Scientific Reports(2020)10.1038/s41598-020-78865-3
N/A
0DataRank · unranked
19 citations

Wen Li, Youngho Seo, Robert R. Flavell, John Kornak, Benjamin L. Franc +5 more

Current Landscape of Breast Cancer Imaging and Potential Quantitative Imaging Markers of Response in ER-Positive Breast Cancers Treated with Neoadjuvant Therapy

Cancers(2020)10.3390/cancers12061511
N/A
0DataRank · unranked
18 citations

Deep Hathi, Rita I. Freimanis, Rita A. Mukhtar, A. Jo Chien, Laura J. Esserman +4 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

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

Clinical Trial Design and Development Work Group Within the Quantitative Imaging Network

Tomography(2020)10.18383/j.tom.2019.00022
N/A
0DataRank · unranked
3 citations

John M. Buatti, Hui‐Kuo G. Shu, Richard L. Wahl, Brenda F. Kurland, Hannah M. Linden +8 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

Molecular Imaging for Estrogen Receptor-Positive Breast Cancer

Surgical Oncology Clinics of North America(2022)10.1016/j.soc.2022.06.001
N/A
0DataRank · unranked
5 citations

Mary Kathryn Abel, Courtney Lawhn-Heath, Julissa Molina-Vega, Ella F. Jones, Rita A. Mukhtar +1 more

18F-FDG Dedicated Breast PET Complementary to Breast MRI for Evaluating Early Response to Neoadjuvant Chemotherapy

Radiology Imaging Cancer(2024)10.1148/rycan.230082
N/A
0DataRank · unranked
3 citations

Natsuko Onishi, Deep Hathi, Courtney Lawhn-Heath, John Kornak, Wen Li +12 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

Microtubule curling as an efficient readout to uncover fundamental concepts of axonal cell biology

bioRxiv (Cold Spring Harbor Laboratory)(2025)10.1101/2025.06.27.662005
N/A
0DataRank · unranked
0 citations

Milli Owens, Robin Beaven, William Cairns, Abigail Elliot, Sheng-Hui Feng +15 more