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

Daniel Fabbri

Vanderbilt University

ORCID: 0000-0003-0530-2510

Also affiliated with Vanderbilt University Medical Center

Health ProfessionsComputer ScienceBiochemistry, Genetics and Molecular BiologyMedicineDecision 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 100%percentile

0Author DataRank

Indexed papers

0in pilot corpus

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Papers

Driven by 12 papers. Top paper: “User preferences for and engagement with text messages to support antihypertensive medication adherence: Findings from a pilot study evaluating an emergency department-based behavioral intervention”.

User preferences for and engagement with text messages to support antihypertensive medication adherence: Findings from a pilot study evaluating an emergency department-based behavioral intervention

Patient Education and Counseling(2021)10.1016/j.pec.2021.10.011

N/A

0.664DataRank · unranked

13 citations

Andrew J. Spieker, Sunil Kripalani, Russell L. Rothman, Christianne L. Roumie, Joseph Coco +5 more

Prediction of Effectiveness and Toxicities of Immune Checkpoint Inhibitors Using Real-World Patient Data

JCO Clinical Cancer Informatics(2024)10.1200/cci.23.00207

N/A

0.500DataRank · unranked

27 citations

Kathleen F. Mittendorf, Zoltán Kiss, Michele L. Lenoue-Newton, Pablo Napan-Molina, Protiva Rahman +17 more

Objective Pharyngeal Phenotyping in Obstructive Sleep Apnea With High‐Resolution Manometry

Otolaryngology(2023)10.1002/ohn.257

N/A

0.452DataRank · unranked

6 citations

William C. Scott, Cheng Ye, Daniel Fabbri, David T. Kent

Phenotyping coronavirus disease 2019 during a global health pandemic: Lessons learned from the characterization of an early cohort

Journal of Biomedical Informatics(2021)10.1016/j.jbi.2021.103777

N/A

0.396DataRank · unranked

13 citations

Harris T. Bland, Melissa L McPheeters, Quinn S. Wells, Eric Farber‐Eger, Cosmin A. Bejan +8 more

Crowdsourcing Skin Demarcations of Chronic Graft-Versus-Host Disease in Patient Photographs: Training Versus Performance Study

JMIR Dermatology(2023)10.2196/48589

N/A

0DataRank · unranked

2 citations

Kelsey Parks, Xiaoqi Liu, Bohan Jiang, Joseph Coco, Kira McCool +5 more

Aggregation and Contextualization of Murine Investigations Improves Discovery of Significant Human Atherosclerotic Cardiovascular Disease Associations

Circulation(2024)10.1161/circulationaha.123.067510

N/A

0DataRank · unranked

2 citations

Yihua Wang, Rachel R. Xiang, Aaron Zou, Protiva Rahman, Daniel Fabbri +4 more

Use of noisy labels as weak learners to identify incompletely ascertainable outcomes: A Feasibility study with opioid-induced respiratory depression

Heliyon(2024)10.1016/j.heliyon.2024.e26434

N/A

0DataRank · unranked

1 citations

Daniel Fabbri, Ruth Reeves, Michael E. Matheny, Alvin D. Jeffery

Next generation of electronic medical record search engines to support chart reviews: A systematic user study and future research direction

Journal of Economy and Technology(2024)10.1016/j.ject.2024.03.003

N/A

0DataRank · unranked

1 citations

Daniel Fabbri, Cheng Ye

Large language models improve the identification of emergency department visits for symptomatic kidney stones

Scientific Reports(2025)10.1038/s41598-025-86632-5

N/A

0DataRank · unranked

6 citations

Amy E. McCart Reed, Matthew Mikula, Siwei Zhang, Yaomin Xu, Daniel Fabbri +3 more

#PrayForDad: Learning the Semantics Behind Why Social Media Users Disclose Health Information

Proceedings of the International AAAI Conference on Web and Social Media(2021)10.1609/icwsm.v10i1.14735

N/A

0DataRank · unranked

11 citations

You Chen, Daniel Fabbri, Jimeng Sun, Bradley Malin, Zhijun Yin

Secondary use of radiological imaging data: Vanderbilt’s ImageVU approach

Journal of Biomedical Informatics(2025)10.1016/j.jbi.2025.104905

N/A

0DataRank · unranked

1 citations

Karthik Ramadass, Laura Jones, Jennifer Morse, Daniel Fabbri, Joseph Coco +8 more

Development of a machine learning model to predict intraoperative transfusion and guide type and screen ordering

Journal of Clinical Anesthesia(2023)10.1016/j.jclinane.2023.111272

N/A

0DataRank · unranked

13 citations

Daniel Fabbri, Jennifer Andrews, Gen Li, Robert E. Freundlich, Samer S Al-Droubi +2 more