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

John Muschelli

ORCID: 0000-0001-6469-1750

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
13.8Author DataRank

Indexed papers

11in 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 11 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.

Clinical Characterization and Prediction of Clinical Severity of SARS-CoV-2 Infection Among US Adults Using Data From the US National COVID Cohort Collaborative

JAMA Network Open(2021)10.1001/jamanetworkopen.2021.16901
Top 3%
6.6DataRank
Top 3%250 citations

Richard A. Moffitt, Janos Hajagos, Benjamin Amor, Adit Anand, Mark M. Bissell +95 more

Papers

Driven by 34 papers — median percentile 57. Top paper: “Clinical Characterization and Prediction of Clinical Severity of SARS-CoV-2 Infection Among US Adults Using Data From the US National COVID Cohort Collaborative”.

Clinical Characterization and Prediction of Clinical Severity of SARS-CoV-2 Infection Among US Adults Using Data From the US National COVID Cohort Collaborative

JAMA Network Open(2021)10.1001/jamanetworkopen.2021.16901
Top 3%
6.6DataRank
Top 3%250 citations

Richard A. Moffitt, Janos Hajagos, Benjamin Amor, Adit Anand, Mark M. Bissell +95 more

Interpreting blood GLUcose data with R package iglu

PLoS ONE(2021)10.1371/journal.pone.0248560
N/A
4.6DataRank · unranked
105 citations

Jacek Urbanek, D. S. Buchanan, Elizabeth Chun, John Muschelli, Naresh M. Punjabi +2 more

Quantifying the Predictive Performance of Objectively Measured Physical Activity on Mortality in the UK Biobank

The Journals of Gerontology Series A(2020)10.1093/gerona/glaa250
Top 8%
2.7DataRank
Top 8%69 citations

Shiyao Xu, Prosenjit Kundu, John Muschelli, Ekaterina Smirnova, Nilanjan Chatterjee +2 more

The National COVID Cohort Collaborative: Clinical Characterization and Early Severity Prediction

medRxiv(2021)10.1101/2021.01.12.21249511
Top 8%
2.6DataRank
Top 8%64 citations

Richard A. Moffitt, Janos Hajagos, Benjamin Amor, Adit Anand, Mark M. Bissell +40 more

Development of Severe COVID-19 Adaptive Risk Predictor (SCARP), a Calculator to Predict Severe Disease or Death in Hospitalized Patients With COVID-19

Annals of Internal Medicine(2021)10.7326/m20-6754
N/A
2.5DataRank · unranked
61 citations

Brian T. Garibaldi, Annukka A.R. Antar, Jiyang Wen, Mei‐Cheng Wang, Amita Gupta +9 more

Sex and Gender Differences in Testing, Hospital Admission, Clinical Presentation, and Drivers of Severe Outcomes From COVID-19

Open Forum Infectious Diseases(2021)10.1093/ofid/ofab448
N/A
1.7DataRank · unranked
70 citations

Grant Schumock, Martina Fu, Guido Massaccesi, John Muschelli, Joshua Betz +9 more

Relationship of White Matter Lesions with Intracerebral Hemorrhage Expansion and Functional Outcome: MISTIE II and CLEAR III

Neurocritical Care(2020)10.1007/s12028-020-00916-4
N/A
1.2DataRank · unranked
23 citations

Björn M. Hansen, Natalie Ullman, John Muschelli, Bo Norrving, Rachel Dlugash +8 more

A Publicly Available, High Resolution, Unbiased CT Brain Template

Communications in computer and information science(2020)10.1007/978-3-030-50153-2_27
Top 31%
0.633DataRank
Top 31%9 citations

John Muschelli

Sex and gender differences in COVID testing, hospital admission, presentation, and drivers of severe outcomes in the DC/Maryland region

medRxiv(2021)10.1101/2021.04.05.21253827
Top 32%
0.625DataRank
Top 32%14 citations

Grant Schumock, Martina Fu, Guido Massaccesi, John Muschelli, Joshua Betz +10 more

The ANTsX ecosystem for quantitative biological and medical imaging

medRxiv(2020)10.1101/2020.10.19.20215392
N/A
0.520DataRank · unranked
31 citations

Philip A. Cook, Andrew J. Holbrook, Hans J. Johnson, John Muschelli, Gabriel A. Devenyi +10 more

Moderated t-tests for group-level fMRI analysis

NeuroImage(2021)10.1016/j.neuroimage.2021.118141
N/A
0.449DataRank · unranked
19 citations

John Muschelli, Martin A. Lindquist, Guoqing Wang

Objectively Measured Physical Activity Using Wrist-Worn Accelerometers as a Predictor of Incident Alzheimer’s Disease in the UK Biobank

The Journals of Gerontology Series A(2024)10.1093/gerona/glae287
Top 43%
0.429DataRank
Top 43%7 citations

Erjia Cui, Andrew Leroux, Xinkai Zhou, John Muschelli, Martin A. Lindquist +2 more

Open Case Studies: Statistics and Data Science Education through Real-World Applications

Journal of Statistics and Data Science Education(2024)10.1080/26939169.2024.2394541
N/A
0.373DataRank · unranked
11 citations

Qier Meng, Michael R. Breshock, Lyla Atta, Margaret A. Taub, Leah R. Jager +3 more

Comparing Step-Counting Algorithms for High-Resolution Wrist Accelerometry Data in Older Adults in the ARIC Study

The Journals of Gerontology Series A(2025)10.1093/gerona/glaf034
Top 70%
0.165DataRank
Top 70%2 citations

Xinkai Zhou, Lily Koffman, Amal A. Wanigatunga, Jennifer A. Schrack, Ciprian M. Crainiceanu +2 more

Rxnat: An Open-Source R Package for XNAT-Based Repositories

Frontiers in Neuroinformatics(2020)10.3389/fninf.2020.572068
Top 78%
0.104DataRank
Top 78%1 citations

John Muschelli, Brian Caffo, Ciprian M. Crainiceanu, Adrian Gherman

Comparing Step Counting Algorithms for High-Resolution Wrist Accelerometry Data in NHANES 2011-2014

arXiv (Cornell University)(2024)10.48550/arxiv.2410.11040
Top 100%
0DataRank
Top 100%0 citations

Ciprian Crainiceanu, John Muschelli, Lily Koffman

Fine-Mapping the Association of Acute Kidney Injury With Mean Arterial and Central Venous Pressures During Coronary Artery Bypass Surgery

Anesthesia & Analgesia(2025)10.1213/ane.0000000000007500
N/A
0DataRank · unranked
6 citations

Marina Hernandez, Lily Koffman, Zachary Murphy, Ashish Khanna, Michael P. Robich +10 more

Assessment of Renal Vein Flow Index by Transesophageal Echocardiography: Precision, Variability, and Association with Cardiac Index During Cardiac Surgery

Journal of Cardiothoracic and Vascular Anesthesia(2025)10.1053/j.jvca.2025.05.052
N/A
0DataRank · unranked
0 citations

Marina Hernandez, Lily Koffman, Chelsey Santino, John Muschelli, Xinkai Zhou +8 more

PNGs and Annotations of Brain Extraction Results

Zenodo (CERN European Organization for Nuclear Research)(2025)10.5281/zenodo.17372890
Top 100%
0DataRank
Top 100%0 citations

Rushil Srirambhatla, John Muschelli

PNGs and Annotations of Brain Extraction Results

Zenodo (CERN European Organization for Nuclear Research)(2025)10.5281/zenodo.17372889
Top 100%
0DataRank
Top 100%0 citations

Rushil Srirambhatla, John Muschelli

3D Deep Neural Network Segmentation of Intracerebral Hemorrhage: Development and Validation for Clinical Trials

Neuroinformatics(2020)10.1007/s12021-020-09493-5
N/A
0DataRank · unranked
67 citations

W. Andrew Mould, Hasan Ali, Meghan Hildreth, Issam A. Awad, Daniel F. Hanley +2 more

TAPAS: A Thresholding Approach for Probability Map Automatic Segmentation in Multiple Sclerosis

NeuroImage Clinical(2020)10.1016/j.nicl.2020.102256
N/A
0DataRank · unranked
7 citations

John Muschelli, Dzung L. Pham, Melissa L. Martin, Paul A. Yushkevich, Rachel Brandstadter +6 more

3D Deep Neural Network Segmentation of Intracerebral Hemorrhage: Development and Validation for Clinical Trials

medRxiv(2020)10.1101/2020.03.05.20031823
N/A
0DataRank · unranked
11 citations

W. Andrew Mould, Hasan Ali, Meghan Hildreth, Issam A. Awad, Daniel F. Hanley +2 more

Interpreting blood GLUcose data with R package iglu

bioRxiv (Cold Spring Harbor Laboratory)(2020)10.1101/2020.09.28.310482
N/A
0DataRank · unranked
1 citations

Jacek Urbanek, D. S. Buchanan, Elizabeth Chun, John Muschelli, Naresh M. Punjabi +2 more

Corrigendum to: Neuroconductor: an R platform for medical imaging analysis

Biostatistics(2020)10.1093/biostatistics/kxaa006
N/A
0DataRank · unranked
0 citations

Adrian Gherman, Jean-Philippe Fortin, Brian Avants, Brandon Whitcher, Jonathan D. Clayden +3 more

The ANTsX ecosystem for quantitative biological and medical imaging

Scientific Reports(2021)10.1038/s41598-021-87564-6
N/A
0DataRank · unranked
412 citations

Philip A. Cook, Andrew J. Holbrook, Hans J. Johnson, John Muschelli, Gabriel A. Devenyi +9 more

A multi-scanner neuroimaging data harmonization using RAVEL and ComBat

NeuroImage(2021)10.1016/j.neuroimage.2021.118703
N/A
0DataRank · unranked
65 citations

Davneet Minhas, Ghasan Ahmad, Erin E. O’Connor, John Muschelli, Charles M. Laymon +9 more

Outcome-Stratified Analysis of Biomarker Trajectories for Patients Infected With Severe Acute Respiratory Syndrome Coronavirus 2

American Journal of Epidemiology(2021)10.1093/aje/kwab138
N/A
0DataRank · unranked
16 citations

Zitong Wang, Yizhen Xu, Joshua Betz, John Muschelli, Brian T. Garibaldi +2 more

ciftiTools: A package for reading, writing, visualizing and manipulating CIFTI files in R

NeuroImage(2021)10.1016/j.neuroimage.2022.118877
N/A
0DataRank · unranked
39 citations

John Muschelli, Amanda F. Mejia, Damon Pham

ModelArray: a memory-efficient R package for statistical analysis of fixel data

bioRxiv (Cold Spring Harbor Laboratory)(2022)10.1101/2022.07.12.499631
N/A
0DataRank · unranked
3 citations

Tinashe M. Tapera, Joëlle Bagautdinova, Josiane Bourque, Sydney Covitz, Raquel E. Gur +13 more

ModelArray: An R package for statistical analysis of fixel-wise data

NeuroImage(2023)10.1016/j.neuroimage.2023.120037
N/A
0DataRank · unranked
7 citations

Tinashe M. Tapera, Joëlle Bagautdinova, Josiane Bourque, Sydney Covitz, Raquel E. Gur +13 more

Open Case Studies: Statistics and Data Science Education through Real-World Applications

arXiv (Cornell University)(2023)10.48550/arxiv.2301.05298
N/A
0DataRank · unranked
7 citations

Qier Meng, Michael R. Breshock, Lyla Atta, Margaret A. Taub, Leah R. Jager +3 more

Occurrence of Low Cardiac Index During Normotensive Periods in Cardiac Surgery: A Prospective Cohort Study Using Continuous Noninvasive Cardiac Output Monitoring

Anesthesia & Analgesia(2024)10.1213/ane.0000000000007206
N/A
0DataRank · unranked
3 citations

Lily Koffman, Marina Hernandez, Glenn J.R. Whitman, Chirag R. Parikh, João A.C. Lima +7 more

Assessment of Renal Vein Stasis Index by Transesophageal Echocardiography During Cardiac Surgery: A Feasibility Study

Anesthesia & Analgesia(2024)10.1213/ane.0000000000007161
N/A
0DataRank · unranked
2 citations

Marina Hernandez, Lily Koffman, Charles Slowey, John Muschelli, Xinkai Zhou +7 more