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

Matthew T. MacLean

University of Pennsylvania

ORCID: 0000-0002-0514-7218
Medicine

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
0.540Author 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.

Exome-wide association analysis of CT imaging-derived hepatic fat in a medical biobank

Cell Reports Medicine(2022)10.1016/j.xcrm.2022.100855
Top 36%
0.540DataRank
Top 36%18 citations

Matthew T. MacLean, Anastasia Lucas, Drew A. Torigian, Carolin V. Schneider, Tess Cherlin +10 more

Papers

Driven by 12 papers — median percentile 64. Top paper: “A multiancestry genome-wide association study of unexplained chronic ALT elevation as a proxy for nonalcoholic fatty liver disease with histological and radiological validation”.

A multiancestry genome-wide association study of unexplained chronic ALT elevation as a proxy for nonalcoholic fatty liver disease with histological and radiological validation

Nature Genetics(2022)10.1038/s41588-022-01078-z
N/A
0.793DataRank · unranked
197 citations

Shweta Ramdas, Kimberly Lorenz, Xiuqing Guo, Rebecca Darlay, Heather J. Cordell +86 more

Exome-wide association analysis of CT imaging-derived hepatic fat in a medical biobank

Cell Reports Medicine(2022)10.1016/j.xcrm.2022.100855
Top 36%
0.540DataRank
Top 36%18 citations

Matthew T. MacLean, Anastasia Lucas, Drew A. Torigian, Carolin V. Schneider, Tess Cherlin +10 more

Strategies for Implementing Machine Learning Algorithms in the Clinical Practice of Radiology

Radiology(2024)10.1148/radiol.223170
N/A
0.500DataRank · unranked
27 citations

Michael S. Yao, Hersh Sagreiya, Ari D. Goldberg, Neil Chatterjee, Matthew T. MacLean +9 more

A trans-ancestry genome-wide association study of unexplained chronic ALT elevation as a proxy for nonalcoholic fatty liver disease with histological and radiological validation

medRxiv(2021)10.1101/2020.12.26.20248491
N/A
0.425DataRank · unranked
16 citations

Shweta Ramdas, Kimberly Lorenz, Xiuqing Guo, Rebecca Darlay, Heather J. Cordell +85 more

CT imaging-derived phenotypes for abdominal muscle and their association with age and sex in a medical biobank

Scientific Reports(2024)10.1038/s41598-024-64603-6
N/A
0.373DataRank · unranked
11 citations

Chantal Chahine, Neil Chatterjee, Matthew T. MacLean, Sophia Swago, Abhi Bhattaru +44 more

Clinical correlates of CT imaging-derived phenotypes among lean and overweight patients with hepatic steatosis

Scientific Reports(2024)10.1038/s41598-023-49470-x
N/A
0.208DataRank · unranked
3 citations

Elizabeth Thompson, Anurag Verma, Matthew T. MacLean, Jeffrey Duda, Ameena Elahi +49 more

Hepatic and abdominal adiposity in type 2 diabetes as assessed with machine learning on CT scans

medRxiv(2025)10.64898/2025.12.16.25342409
N/A
0DataRank · unranked
0 citations

P. Raghupathy, Mohamad Hazim, Elizabeth Thompson, Sophia Swago, Abhijit Bhattaru +9 more

Quantification of abdominal fat from computed tomography using deep learning and its association with electronic health records in an academic biobank

medRxiv(2020)10.1101/2020.09.22.20199844
N/A
0DataRank · unranked
1 citations

Qasim Jehangir, Marijana Vujković, Yi-An Ko, Harold Litt, Arijitt Borthakur +12 more

Automated, calibration-free quantification of cortical bone porosity and geometry in postmenopausal osteoporosis from ultrashort echo time MRI and deep learning

Bone(2023)10.1016/j.bone.2023.116743
N/A
0DataRank · unranked
8 citations

Félix W. Wehrli, Nada Kamona, Rajiv S. Deshpande, Brian-Tinh Vu, Hee Kwon Song +11 more

SynthA1c: Towards Clinically Interpretable Patient Representations for Diabetes Risk Stratification

Lecture notes in computer science(2023)10.1007/978-3-031-46005-0_5
N/A
0DataRank · unranked
2 citations

Allison Chae, Matthew T. MacLean, Anurag Verma, Jeffrey Duda, James C. Gee +6 more

Deep learning approach for automated segmentation of myocardium using bone scintigraphy single-photon emission computed tomography/computed tomography in patients with suspected cardiac amyloidosis

Journal of Nuclear Cardiology(2024)10.1016/j.nuclcard.2024.101809
N/A
0DataRank · unranked
15 citations

Chaitanya Rojulpote, Mahesh Vidula, Jeffrey Duda, Matthew T. MacLean, Sophia Swago +9 more

Linking abdominal imaging traits to electronic health record phenotypes

medRxiv(2020)10.1101/2020.09.08.20190330
N/A
0DataRank · unranked
4 citations

Qasim Jehangir, Marijana Vujković, Yi-An Ko, Harold Litt, Arijitt Borthakur +12 more