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

Andrew L. Beam

Harvard University

ORCID: 0000-0002-6657-2787
MedicineComputer ScienceDecision 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 1%percentile
5.8Author 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.

Estimates of healthcare spending for preterm and low-birthweight infants in a commercially insured population: 2008–2016

Journal of Perinatology(2020)10.1038/s41372-020-0635-z
Top 3%
5.8DataRank
Top 3%186 citations

Inbar Fried, Nathan Palmer, Denis Agniel, Gabriel A. Brat, Kathe Fox +5 more

Papers

Driven by 14 papers — median percentile 97. Top paper: “Reporting guideline for the early-stage clinical evaluation of decision support systems driven by artificial intelligence: DECIDE-AI”.

Reporting guideline for the early-stage clinical evaluation of decision support systems driven by artificial intelligence: DECIDE-AI

Nature Medicine(2022)10.1038/s41591-022-01772-9
N/A
13.0DataRank · unranked
589 citations

Myura Nagendran, Bruce Campbell, David A. Clifton, Gary S. Collins, Spiros Denaxas +95 more

Reporting guidelines for clinical trial reports for interventions involving artificial intelligence: the CONSORT-AI extension

The Lancet Digital Health(2020)10.1016/s2589-7500(20)30218-1
N/A
11.9DataRank · unranked
446 citations

Samantha Cruz Rivera, David Moher, Melanie Calvert, Alastair K. Denniston, Hutan Ashrafian +34 more

Estimates of healthcare spending for preterm and low-birthweight infants in a commercially insured population: 2008–2016

Journal of Perinatology(2020)10.1038/s41372-020-0635-z
Top 3%
5.8DataRank
Top 3%186 citations

Inbar Fried, Nathan Palmer, Denis Agniel, Gabriel A. Brat, Kathe Fox +5 more

Reporting guidelines for clinical trial reports for interventions involving artificial intelligence: the CONSORT-AI extension

Nature Medicine(2020)10.1038/s41591-020-1034-x
N/A
1.1DataRank · unranked
1120 citations

Samantha Cruz Rivera, David Moher, Melanie Calvert, Alastair K. Denniston, The SPIRIT-AI and CONSORT-AI Working Group +38 more

Development and validation of a deep learning model for diagnosing neuropathic corneal pain via in vivo confocal microscopy

npj Digital Medicine(2025)10.1038/s41746-025-01577-3
N/A
0.269DataRank · unranked
5 citations

Eric Chen, Rudraksh Tuwani, Benjamin Kompa, Stephanie Cox, Mehmet Cüneyt Özmen +4 more

NeoCLIP: a self-supervised foundation model for the interpretation of neonatal radiographs

npj Digital Medicine(2025)10.1038/s41746-025-01922-6
N/A
0.241DataRank · unranked
4 citations

Puneet Sharma, Anil Palepu, Nathaniel R. Greenbaum, Andrew L. Beam, Kristyn Beam +1 more

Machine learning for patient risk stratification: standing on, or looking over, the shoulders of clinicians?

npj Digital Medicine(2021)10.1038/s41746-021-00426-3
N/A
0DataRank · unranked
159 citations

William Yuan, Gabriel A. Brat, Andrew L. Beam, Griffin M. Weber, M Ruffin +2 more

Specificity of International Classification of Diseases codes for bronchopulmonary dysplasia: an investigation using electronic health record data and a large insurance database

Journal of Perinatology(2021)10.1038/s41372-021-00965-3
N/A
0DataRank · unranked
22 citations

Matthew Lee, Keith Hirst, Andrew L. Beam, Richard B. Parad, Kristyn Beam

Second opinion needed: communicating uncertainty in medical machine learning

npj Digital Medicine(2021)10.1038/s41746-020-00367-3
N/A
0DataRank · unranked
446 citations

Jasper Snoek, Andrew L. Beam, Benjamin Kompa

A convolutional neural network highlights mutations relevant to antimicrobial resistance in Mycobacterium tuberculosis

Nature Communications(2022)10.1038/s41467-022-31236-0
N/A
0DataRank · unranked
84 citations

Chang Ho Yoon, Michael L. Chen, Yasha Ektefaie, Mack Fina, Luca Freschi +5 more

Prediction of extubation failure among low birthweight neonates using machine learning

Journal of Perinatology(2023)10.1038/s41372-022-01591-3
N/A
0DataRank · unranked
19 citations

Grace Lam, Jingyi Liu, Andrew L. Beam, Kristyn Beam, Jonathan C. Levin +1 more

Assessment of Correctness, Content Omission, and Risk of Harm in Large Language Model Responses to Dermatology Continuing Medical Education Questions

Journal of Investigative Dermatology(2024)10.1016/j.jid.2024.01.015
N/A
0DataRank · unranked
12 citations

Michael L. Chen, Jiyeong Kim, Roberto A. Novoa, Leandra A. Barnes, Andrew L. Beam +2 more

Guidelines for clinical trial protocols for interventions involving artificial intelligence: the SPIRIT-AI extension

The Lancet Digital Health(2020)10.1016/s2589-7500(20)30219-3
N/A
0DataRank · unranked
440 citations

Xiaoxuan Liu, An-Wen Chan, Alastair K. Denniston, Melanie Calvert, Hutan Ashrafian +35 more

Guidelines for clinical trial protocols for interventions involving artificial intelligence: the SPIRIT-AI extension

Nature Medicine(2020)10.1038/s41591-020-1037-7
N/A
0DataRank · unranked
633 citations

Xiaoxuan Liu, An-Wen Chan, Alastair K. Denniston, Melanie Calvert, The SPIRIT-AI and CONSORT-AI Working Group +38 more