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

Ramy Arnaout

Beth Israel Deaconess Medical Center

ORCID: 0000-0001-6955-9310

Also affiliated with Harvard University, University of California, San Francisco, Hadassah Medical Center, Lemuel Shattuck Hospital, University of San Francisco

MedicineImmunology and MicrobiologyBiochemistry, 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 5%percentile
0.445Author 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 →

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.

lucie : An Improved Python Package for Loading Datasets from the UCI Machine Learning Repository

bioRxiv (Cold Spring Harbor Laboratory)(2024)10.1101/2024.10.18.618994
Top 42%
0.445DataRank
Top 42%6 citations

Phuc Nguyen, Ramy Arnaout, Kenneth Ge

Papers

Driven by 18 papers — median percentile 29. Top paper: “Chromosome Conformation Capture Carbon Copy (5C): A massively parallel solution for mapping interactions between genomic elements”.

Chromosome Conformation Capture Carbon Copy (5C): A massively parallel solution for mapping interactions between genomic elements

Genome Research(2006)10.1101/gr.5571506
N/A
1.1DataRank · unranked
1231 citations

Michael Singer, Ramy A. Arnaout, Rebecca R. Selzer, William L. Lee, Tracey A. Honan +10 more

lucie : An Improved Python Package for Loading Datasets from the UCI Machine Learning Repository

bioRxiv (Cold Spring Harbor Laboratory)(2024)10.1101/2024.10.18.618994
Top 42%
0.445DataRank
Top 42%6 citations

Phuc Nguyen, Ramy Arnaout, Kenneth Ge

Scaling Monte-Carlo-Based Inference on Antibody and TCR Repertoires

PubMed(2023)10.48550/arxiv.2312.12525
N/A
0.104DataRank · unranked
1 citations

Rohit Arora, Jasper Braun, Joesph Kaplinsky, Elliot D. Hill, Anthony Li +3 more

Nasal-Swab Testing Misses Patients with Low SARS-CoV-2 Viral Loads

medRxiv(2020)10.1101/2020.06.12.20128736
N/A
0DataRank · unranked
38 citations

Rose Lee, Ghee Rye Lee, Kate Zulauf, James E. Kirby, Ramy Arnaout +1 more

Open Development and Clinical Validation Of Multiple 3D-Printed Sample-Collection Swabs: Rapid Resolution of a Critical COVID-19 Testing Bottleneck

medRxiv(2020)10.1101/2020.04.14.20065094
N/A
0DataRank · unranked
36 citations

Rose Lee, Katelyn E. Zulauf, Lauren Tamburello, Kenneth P. Smith, Joe Previtera +8 more

Machine Learning and the Future of Cardiovascular Care

Journal of the American College of Cardiology(2021)10.1016/j.jacc.2020.11.030
N/A
0DataRank · unranked
336 citations

Ramy Arnaout, Michael Henne, Rima Arnaout, Giorgio Quer

The Future of Blood Testing Is the Immunome

Frontiers in Immunology(2021)10.3389/fimmu.2021.626793
N/A
0DataRank · unranked
72 citations

Eline T. Luning Prak, Nicholas Schwab, Florian Rubelt, the Adaptive Immune Receptor Repertoire Community, Ramy Arnaout

ENRICH: Exploiting Image Similarity to Maximize Efficient Machine Learning in Medical Imaging

Research Square(2021)10.21203/rs.3.rs-1000939/v1
N/A
0DataRank · unranked
3 citations

Rohit Arora, Ramy Arnaout, Rima Arnaout, Erin Chinn

ENRICHing Medical Imaging Training Sets Enables More Efficient Machine Learning

medRxiv(2021)10.1101/2021.05.22.21257645
N/A
0DataRank · unranked
1 citations

Rohit Arora, Ramy Arnaout, Rima Arnaout, Erin Chinn

Visualizing omicron: COVID-19 deaths vs. cases over time

PLoS ONE(2022)10.1371/journal.pone.0265233
N/A
0DataRank · unranked
22 citations

Rima Arnaout, Ramy Arnaout

Repertoire-Scale Measures of Antigen Binding

bioRxiv (Cold Spring Harbor Laboratory)(2022)10.1101/2022.06.24.497473
N/A
0DataRank · unranked
0 citations

Ramy Arnaout, Rohit Arora

ENRICHing medical imaging training sets enables more efficient machine learning

Journal of the American Medical Informatics Association(2023)10.1093/jamia/ocad055
N/A
0DataRank · unranked
18 citations

Rohit Arora, Ramy Arnaout, Rima Arnaout, Erin Chinn

$\textit{sentropy}$: A Python Package for Revealing Hidden Differences in Complex Datasets

PubMed(2023)10.48550/arxiv.2401.00102
N/A
0DataRank · unranked
1 citations

Rohit Arora, Elliot D. Hill, Jasper Braun, Alexandra Morgan, Liza M. Quintana +5 more

$\textit{lucie}$: An Improved Python Package for Loading Datasets from the UCI Machine Learning Repository

arXiv (Cornell University)(2024)10.48550/arxiv.2410.09119
Top 100%
0DataRank
Top 100%0 citations

Phuc Nguyen, Ramy Arnaout, Kang Ge

Grade Inflation in Generative Models

Qeios(2025)10.32388/sn51kh
N/A
0DataRank · unranked
0 citations

Rima Arnaout, Ramy Arnaout, Alexandra Morgan

Which Similarity-Sensitive Entropy (Sentropy)?

arXiv (Cornell University)(2025)10.48550/arxiv.2511.03849
N/A
0DataRank · unranked
0 citations

Josiah Couch, Rahul Bansal, Alexandra Morgan, Christopher K. W. Tam, Miao Li +3 more

The Limit of Detection Matters: The Case for Benchmarking Severe Acute Respiratory Syndrome Coronavirus 2 Testing

Clinical Infectious Diseases(2020)10.1093/cid/ciaa1382
N/A
0DataRank · unranked
141 citations

Rose Lee, Ghee Rye Lee, Cody Callahan, Annie Cheng, Christina Yen +4 more

SARS-CoV2 Testing: The Limit of Detection Matters

bioRxiv (Cold Spring Harbor Laboratory)(2020)10.1101/2020.06.02.131144
N/A
0DataRank · unranked
169 citations

Rose Lee, Ghee Rye Lee, Cody Callahan, Christina Yen, Kenneth P. Smith +3 more