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

Sara Jones

Frederick National Laboratory for Cancer Research

ORCID: 0000-0003-1877-9406
Biochemistry, Genetics and Molecular BiologyMedicineAgricultural and Biological 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
0.417Author 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.

Who is pregnant? defining real-world data-based pregnancy episodes in the National COVID Cohort Collaborative (N3C)

medRxiv(2022)10.1101/2022.08.04.22278439
Top 44%
0.417DataRank
Top 44%8 citations

Katie R. Bradwell, Lauren E Chan, Courtney Olson‐Chen, Jessica Tarleton, Kenneth J. Wilkins +15 more

Papers

Driven by 7 papers — median percentile 56. Top paper: “Who is pregnant? defining real-world data-based pregnancy episodes in the National COVID Cohort Collaborative (N3C)”.

Who is pregnant? defining real-world data-based pregnancy episodes in the National COVID Cohort Collaborative (N3C)

medRxiv(2022)10.1101/2022.08.04.22278439
Top 44%
0.417DataRank
Top 44%8 citations

Katie R. Bradwell, Lauren E Chan, Courtney Olson‐Chen, Jessica Tarleton, Kenneth J. Wilkins +15 more

Antigenic Restimulation of Virus-Specific Memory CD8+T Cells Requires Days of Lytic Protein Accumulation for Maximal Cytotoxic Capacity

Journal of Virology(2020)10.1128/jvi.01595-20
N/A
0.385DataRank · unranked
12 citations

Daniel C. Rogan, Noah Veis Gavil, Elizabeth Kelly, Sushila A. Toulmin, Lawrence Wang +13 more

UNNT: A novel Utility for comparing Neural Net and Tree-based models

PLoS Computational Biology(2024)10.1371/journal.pcbi.1011504
N/A
0.165DataRank · unranked
2 citations

Satish Ranganathan Ganakammal, Sara Jones, Matthew Beyers, Sunita Chandrasekaran, Vineeth Gutta

cTULIP: application of a human-based RNA-seq primary tumor classification tool for cross-species primary tumor classification in canine

Frontiers in Oncology(2023)10.3389/fonc.2023.1216892
N/A
0DataRank · unranked
1 citations

Satishkumar Ranganathan Ganakammal, Sara Jones, Harish Kothandaraman, Deepika Dhawan, Joe Ogas +4 more

Evaluating COVID-19 vaccine effectiveness during pre-Delta, Delta and Omicron dominant periods among pregnant people in the USA: Retrospective cohort analysis from a nationally sampled cohort in National COVID Collaborative Cohort (N3C)

BMJ Public Health(2024)10.1136/bmjph-2023-000770
N/A
0DataRank · unranked
4 citations

Kenneth J. Wilkins, Sara Jones, Katie R. Bradwell, Lauren E Chan, Jing Sun +9 more

Assessing Reusability of Deep Learning-Based Monotherapy Drug Response Prediction Models Trained with Omics Data

arXiv (Cornell University)(2024)10.48550/arxiv.2409.12215
N/A
0DataRank · unranked
0 citations

Alexander Partin, Thomas Brettin, Nicholas Chia, Oleksandr Narykov, Priyanka Vasanthakumari +19 more

The Hallmarks of Predictive Oncology

Cancer Discovery(2025)10.1158/2159-8290.cd-24-0760
N/A
0DataRank · unranked
14 citations

Xiaoyu Zhao, Patrick D. Wall, Emily So, G. Calderini, Alexander Partin +17 more