Michael Zeineh

6.4k total citations · 1 hit paper
105 papers, 3.8k citations indexed

About

Michael Zeineh is a scholar working on Radiology, Nuclear Medicine and Imaging, Epidemiology and Cognitive Neuroscience. According to data from OpenAlex, Michael Zeineh has authored 105 papers receiving a total of 3.8k indexed citations (citations by other indexed papers that have themselves been cited), including 51 papers in Radiology, Nuclear Medicine and Imaging, 30 papers in Epidemiology and 24 papers in Cognitive Neuroscience. Recurrent topics in Michael Zeineh's work include Traumatic Brain Injury Research (29 papers), Advanced Neuroimaging Techniques and Applications (29 papers) and Advanced MRI Techniques and Applications (27 papers). Michael Zeineh is often cited by papers focused on Traumatic Brain Injury Research (29 papers), Advanced Neuroimaging Techniques and Applications (29 papers) and Advanced MRI Techniques and Applications (27 papers). Michael Zeineh collaborates with scholars based in United States, Sweden and Canada. Michael Zeineh's co-authors include Susan Y. Bookheimer, Stephen A. Engel, Paul M. Thompson, Max Wintermark, Brian K. Rutt, Greg Zaharchuk, David B. Camarillo, Gerald A. Grant, Barbara J. Knowlton and Mark S. Cohen and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Nature Communications.

In The Last Decade

Michael Zeineh

100 papers receiving 3.8k citations

Hit Papers

Resting-State Functional MRI: Everything That Nonexperts ... 2018 2026 2020 2023 2018 100 200 300
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Resting-State Functional MRI: Everything That Nonexperts Have Always Wanted to Know
    2018 392 citations Greg Zaharchuk, Michael Zeineh et al. profile →

Peers

Michael Zeineh
Asta K. Håberg Norway
Chandrasekharan Kesavadas India
Peiyu Huang China
Minming Zhang China
Beatriz Gómez‐Ansón Spain
Lin Ma China
Roberto Gasparotti Italy
Christopher T. Whitlow United States
David Izquierdo‐Garcia United States
Alida A. Gouw Netherlands
Asta K. Håberg Norway
Michael Zeineh
Citations per year, relative to Michael Zeineh Michael Zeineh (= 1×) peers Asta K. Håberg

Countries citing papers authored by Michael Zeineh

Since Specialization
Citations

This map shows the geographic impact of Michael Zeineh's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Michael Zeineh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Zeineh more than expected).

Fields of papers citing papers by Michael Zeineh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael Zeineh. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Michael Zeineh. The network helps show where Michael Zeineh may publish in the future.

Co-authorship network of co-authors of Michael Zeineh

This figure shows the co-authorship network connecting the top 25 collaborators of Michael Zeineh. A scholar is included among the top collaborators of Michael Zeineh based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Michael Zeineh. Michael Zeineh is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Georgiadis, Marios, Hamed Abbasi, Jeffrey Nirschl, et al.. (2025). Micron-resolution fiber mapping in histology independent of sample preparation. Nature Communications. 16(1). 9572–9572.
2.
Khosla, Sundeep, et al.. (2025). Beyond Structure: The Interplay of Bone and Brain During Alzheimer's Disease. Comprehensive physiology. 15(6). e70075–e70075.
3.
Khalighi, Mehdi, Christina B. Young, Michael Zeineh, et al.. (2025). Enhancing the Diagnostic Accuracy of Amyloid PET: The Impact of MR-Guided PET Reconstruction. IEEE Transactions on Radiation and Plasma Medical Sciences. 10(3). 344–349.
4.
Zhan, Xianghao, Yuzhe Liu, Nicholas J. Cecchi, et al.. (2024). AI-Based Denoising of Head Impact Kinematics Measurements With Convolutional Neural Network for Traumatic Brain Injury Prediction. IEEE Transactions on Biomedical Engineering. 71(9). 2759–2770. 6 indexed citations
5.
Cecchi, Nicholas J., Yuzhe Liu, Xianghao Zhan, et al.. (2023). Padded Helmet Shell Covers in American Football: A Comprehensive Laboratory Evaluation with Preliminary On-Field Findings. Annals of Biomedical Engineering. 52(10). 2703–2716. 9 indexed citations
6.
Zhao, Moss, Mehdi Khalighi, Guido Davidzon, et al.. (2023). Early-Frame [18F]Florbetaben PET/MRI for Cerebral Blood Flow Quantification in Patients with Cognitive Impairment: Comparison to an [15O]Water Gold Standard. Journal of Nuclear Medicine. 65(2). 306–312. 3 indexed citations
7.
Goubran, Maged, Brian D. Mills, Marios Georgiadis, et al.. (2023). Microstructural Alterations in Tract Development in College Football and Volleyball Players. Neurology. 101(9). e953–e965. 4 indexed citations
8.
Cheng, Ge, Nancy J. Fischbein, Bin Jiang, et al.. (2023). Generative Editing via Convolutional Obscuring (GECO): A Generative Adversarial Network for MRI de-artifacting (P8-4.002). Neurology. 100(17_supplement_2).
9.
Raymond, Samuel, Nicholas J. Cecchi, Hossein Vahid Alizadeh, et al.. (2022). Physics-Informed Machine Learning Improves Detection of Head Impacts. Annals of Biomedical Engineering. 50(11). 1534–1545. 12 indexed citations
10.
Thaler, Christian J., Qiyuan Tian, Max Wintermark, et al.. (2022). Changes in the Cerebello-Thalamo-Cortical Network After Magnetic Resonance-Guided Focused Ultrasound Thalamotomy. Brain Connectivity. 13(1). 28–38. 6 indexed citations
11.
Zhan, Xianghao, Yiheng Li, Yuzhe Liu, et al.. (2022). Piecewise Multivariate Linearity Between Kinematic Features and Cumulative Strain Damage Measure (CSDM) Across Different Types of Head Impacts. Annals of Biomedical Engineering. 50(11). 1596–1607. 9 indexed citations
12.
Li, Xiaogai, et al.. (2021). Subject-specific multiscale analysis of concussion: from macroscopic loads to molecular-level damage. SHILAP Revista de lepidopterología. 2. 100027–100027. 31 indexed citations
13.
Zhan, Xianghao, Yuzhe Liu, Samuel Raymond, et al.. (2021). Rapid Estimation of Entire Brain Strain Using Deep Learning Models. IEEE Transactions on Biomedical Engineering. 68(11). 3424–3434. 42 indexed citations
14.
Simmons, Danielle A., et al.. (2021). Neuroimaging, Urinary, and Plasma Biomarkers of Treatment Response in Huntington's Disease: Preclinical Evidence with the p75NTR Ligand LM11A-31. Neurotherapeutics. 18(2). 1039–1063. 21 indexed citations
15.
Troxell, Megan L., et al.. (2021). Mammary Lobular Carcinoma-Like Salivary Gland Carcinoma: Report of a Rare Case. Head and Neck Pathology. 16(1). 314–321. 2 indexed citations
16.
Madsen, Steven J., Yitian Zeng, Maged Goubran, et al.. (2020). Correlative Microscopy to Localize and Characterize Iron Deposition in Alzheimer’s Disease. Journal of Alzheimer s Disease Reports. 4(1). 525–536. 12 indexed citations
17.
La, Christian, Patricia Linortner, Jeffrey D. Bernstein, et al.. (2019). Hippocampal CA1 subfield predicts episodic memory impairment in Parkinson's disease. NeuroImage Clinical. 23. 101824–101824. 44 indexed citations
18.
Chwang, Wilson B., Michael Iv, Roland Bammer, et al.. (2017). Reducing Functional MR Imaging Acquisition Times by Optimizing Workflow. Radiographics. 37(1). 316–322. 8 indexed citations
19.
Ali, Rohaid, Maged Goubran, Omar Choudhri, & Michael Zeineh. (2015). Seven-Tesla MRI and neuroimaging biomarkers for Alzheimer’s disease. Neurosurgical FOCUS. 39(5). E4–E4. 16 indexed citations
20.
Riess, Jonathan W., Seema Nagpal, Michael Iv, et al.. (2014). Prolonged Survival of Patients With Non–Small-Cell Lung Cancer With Leptomeningeal Carcinomatosis in the Modern Treatment Era. Clinical Lung Cancer. 15(3). 202–206. 58 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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