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

Christopher P. Hess

Johns Hopkins University

ORCID: 0000-0002-5132-5302

Also affiliated with University of California, San Francisco, University of California System

MedicineEngineeringComputer Science

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 2%percentile
4.2Author 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.

The University of California San Francisco Preoperative Diffuse Glioma MRI Dataset

Radiology Artificial Intelligence(2022)10.1148/ryai.220058
Top 5%
4.2DataRank
Top 5%145 citations

Javier Villanueva-Meyer, Jeffrey D. Rudie, Andreas M. Rauschecker, Ujjwal Baid, Spyridon Bakas +4 more

Papers

Driven by 15 papers — median percentile 95. Top paper: “The University of California San Francisco Preoperative Diffuse Glioma MRI Dataset”.

The University of California San Francisco Preoperative Diffuse Glioma MRI Dataset

Radiology Artificial Intelligence(2022)10.1148/ryai.220058
Top 5%
4.2DataRank
Top 5%145 citations

Javier Villanueva-Meyer, Jeffrey D. Rudie, Andreas M. Rauschecker, Ujjwal Baid, Spyridon Bakas +4 more

Roadmap Consensus on Carotid Artery Plaque Imaging and Impact on Therapy Strategies and Guidelines: An International, Multispecialty, Expert Review and Position Statement

American Journal of Neuroradiology(2021)10.3174/ajnr.a7223
N/A
1.7DataRank · unranked
50 citations

Waleed Brinjikji, J. David Spence, Max Wintermark, Maurício Castillo, Gert J. de Borst +28 more

Federated learning for predicting clinical outcomes in patients with COVID-19

Nature Medicine(2021)10.1038/s41591-021-01506-3
N/A
0.990DataRank · unranked
735 citations

Holger R. Roth, Aoxiao Zhong, Ahmed Harouni, Amilcare Gentili, Anas Z. Abidin +94 more

Federated Learning used for predicting outcomes in SARS-COV-2 patients

Research Square(2021)10.21203/rs.3.rs-126892/v1
N/A
0DataRank · unranked
46 citations

Ittai Dayan, Holger R. Roth, Aoxiao Zhong, Ahmed Harouni, Amilcare Gentili +93 more

Comparison of quantitative susceptibility mapping methods for iron-sensitive susceptibility imaging at 7T: An evaluation in healthy subjects and patients with Huntington's disease

NeuroImage(2022)10.1016/j.neuroimage.2022.119788
N/A
0DataRank · unranked
13 citations

Melanie A. Morrison, Angela Jakary, Sivakami Avadiappan, Yicheng Chen, Johanna Luitjens +8 more

Functional network alterations in young brain tumor patients with radiotherapy-induced memory impairments and vascular injury

Frontiers in Neurology(2022)10.3389/fneur.2022.921984
N/A
0DataRank · unranked
9 citations

Sadie Walter, Sabine Mueller, Erin Felton, Angela Jakary, Schuyler Stoller +5 more

Comparison of quantitative susceptibility mapping methods on evaluating radiation‐induced cerebral microbleeds and basal ganglia at 3T and 7T

NMR in Biomedicine(2022)10.1002/nbm.4666
N/A
0DataRank · unranked
5 citations

Ozan Genc, Clare B. Poynton, Suchandrima Banerjee, Christopher P. Hess, Janine Lupo +1 more

DeepSWI : Using Deep Learning to Enhance Susceptibility Contrast on T2 *‐Weighted MRI

Journal of Magnetic Resonance Imaging(2023)10.1002/jmri.28622
N/A
0DataRank · unranked
6 citations

Melanie A. Morrison, Javier Villanueva-Meyer, Brian Burns, Christopher P. Hess, Suchandrima Banerjee +2 more

The Brain Tumor Segmentation (BraTS) Challenge 2023: Brain MR Image Synthesis for Tumor Segmentation (BraSyn)

arXiv (Cornell University)(2023)10.48550/arxiv.2305.09011
N/A
0DataRank · unranked
12 citations

Gian Marco Conte, Hu, Qingqiao, Syed Muhammad Anwar, Florian Kofler, Ivan Ezhov +60 more

Altered Iron and Microstructure in Huntington's Disease Subcortical Nuclei: Insight From 7T MRI

Journal of Magnetic Resonance Imaging(2024)10.1002/jmri.29195
N/A
0DataRank · unranked
10 citations

Melanie A. Morrison, Angela Jakary, Sivakami Avadiappan, Paul Rowley, Julia Glueck +8 more

Advances and challenges in precision imaging

The Lancet Oncology(2025)10.1016/s1470-2045(24)00395-4
N/A
0DataRank · unranked
44 citations

Marius E. Mayerhoefer, Ken Herrmann, Jason S. Lewis, Martin G. Pomper, Christopher P. Hess +4 more

MRI Insights Into Adolescent Neurocircuitry—A Vision for the Future

Frontiers in Human Neuroscience(2020)10.3389/fnhum.2020.00237
N/A
0DataRank · unranked
3 citations

Vivian X. Zhou, Chuan Mei Lee, Duan Xu, Christopher P. Hess, Tony T. Yang +1 more

TRANSIENT ALTERATIONS IN THALAMO-CEREBELLAR FUNCTIONAL CONNECTIVITY IN PREMANIFEST HUNTINGTON’S DISEASE

medRxiv(2025)10.1101/2025.01.15.25320232
N/A
0DataRank · unranked
0 citations

Jingwen Yao, Radhika Bhalerao, Angela Jakary, Julia Glueck, Theresa Driscoll +6 more

Interinstitutional Portability of a Deep Learning Brain MRI Lesion Segmentation Algorithm

Radiology Artificial Intelligence(2021)10.1148/ryai.2021200152
N/A
0DataRank · unranked
28 citations

Tyler Gleason, Pierre Nedelec, Michael Tran Duong, David Weiß, Evan Calabrese +5 more

Presence of Vessel Wall Hyperintensity in Unruptured Arteriovenous Malformations on Vessel Wall Magnetic Resonance Imaging: Pilot Study of AVM Vessel Wall “Enhancement”

Frontiers in Neuroscience(2021)10.3389/fnins.2021.697432
N/A
0DataRank · unranked
10 citations

Jacqueline C. Junn, Daniel L. Cooke, Steven W. Hetts, Chengcheng Zhu, Kevin M. Johnson +5 more