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

Mollie Patton

Medical College of Wisconsin

ORCID: 0000-0002-4202-3951

Computer ScienceMedicineBiochemistry, 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 100%percentile

0Author DataRank

Indexed papers

0in pilot corpus

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Papers

Driven by 3 papers. Top paper: “Deep learning classification of deep ultraviolet fluorescence images toward intra-operative margin assessment in breast cancer”.

Deep learning classification of deep ultraviolet fluorescence images toward intra-operative margin assessment in breast cancer

Frontiers in Oncology(2023)10.3389/fonc.2023.1179025

N/A

0DataRank · unranked

12 citations

Tongtong Lu, Julie M. Jorns, Mollie Patton, Taly Gilat Schmidt, Tina Yen +3 more

Analysis of deep ultraviolet fluorescence images for intraoperative breast tumor margin assessment

PubMed(2023)10.1117/12.2649552

N/A

0DataRank · unranked

0 citations

Julie M. Jorns, Dong Hye Ye, Mollie Patton, Taly Gilat Schmidt, Tina Yen +2 more

Intestinal epithelium–derived IL-34 reprograms macrophages to mitigate gastrointestinal tract graft-versus-host disease

Science Translational Medicine(2025)10.1126/scitranslmed.adn3963

N/A

0DataRank · unranked

6 citations

Alison Moe, Matthew R. Kudek, Ravi K. Shah, Cheng-Yin Yuan, James M. Miller +7 more