Mary Bruno

2.3k total citations
62 papers, 1.0k citations indexed

About

Mary Bruno is a scholar working on Radiology, Nuclear Medicine and Imaging, Surgery and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Mary Bruno has authored 62 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Radiology, Nuclear Medicine and Imaging, 11 papers in Surgery and 11 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Mary Bruno's work include Advanced MRI Techniques and Applications (33 papers), Advanced Neuroimaging Techniques and Applications (18 papers) and MRI in cancer diagnosis (12 papers). Mary Bruno is often cited by papers focused on Advanced MRI Techniques and Applications (33 papers), Advanced Neuroimaging Techniques and Applications (18 papers) and MRI in cancer diagnosis (12 papers). Mary Bruno collaborates with scholars based in United States, Australia and Germany. Mary Bruno's co-authors include Daniel K. Sodickson, Kai Tobias Block, Hersh Chandarana, Tiejun Zhao, Timothy M. Shepherd, Michael Hoch, Girish Fatterpekar, Christian Geppert, Mari Hagiwara and Florian Knöll and has published in prestigious journals such as Nature Communications, Scientific Reports and Radiology.

In The Last Decade

Mary Bruno

55 papers receiving 1.0k citations

Peers

Mary Bruno

RNMI

SURGE

AMPO

PRM

Jeff A Stainsby Canada

Neville Gai United States

Lawrence Dougherty United States

Susanne C. Ladd Germany

Christopher Beaulieu United States

Ding Xia United States

Thorsten Feiweier Germany

Ananth J. Madhuranthakam United States

Qun Chen China

Guoying Liu United States

Jeff A Stainsby Canada

Mary Bruno

756 ×1.1

RNMI

133 ×0.8

SURGE

118 ×0.8

AMPO

102 ×0.9

125 ×1.3

PRM

Citations per year, relative to Mary Bruno Mary Bruno (= 1×) peers Jeff A Stainsby

Countries citing papers authored by Mary Bruno

Since Specialization

Citations

This map shows the geographic impact of Mary Bruno'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 Mary Bruno with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mary Bruno more than expected).

Fields of papers citing papers by Mary Bruno

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mary Bruno. 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 Mary Bruno. The network helps show where Mary Bruno may publish in the future.

Co-authorship network of co-authors of Mary Bruno

This figure shows the co-authorship network connecting the top 25 collaborators of Mary Bruno. A scholar is included among the top collaborators of Mary Bruno 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 Mary Bruno. Mary Bruno is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Khodarahmi, Iman, et al.. (2025). Optimized Variable Flip Angle Technique for Specific Absorption Rate Reduction in Metal Artifact Reduction Magnetic Resonance Imaging. Investigative Radiology.

McClelland, Andrew C., et al.. (2025). Accelerated MRI Sequences for Intracranial Hemorrhage Screening. Investigative Radiology. 1 indexed citations

Bruno, Mary, et al.. (2025). Motion and Flow Robust Free‐Breathing Diffusion Kurtosis Imaging of the Kidney. NMR in Biomedicine. 38(12). e70168–e70168. 1 indexed citations

Vosshenrich, Jan, Mary Bruno, Tatiane Cantarelli Rodrigues, et al.. (2025). Arthroscopy-validated Diagnostic Performance of 7-Minute Five-Sequence Deep Learning Super-Resolution 3-T Shoulder MRI. Radiology. 314(2). e241351–e241351. 2 indexed citations

Mostapha, Mahmoud, Gregor Koerzdoerfer, Esther Raithel, et al.. (2025). An end‐to‐end deep learning method for reconstructing SMS‐PI accelerated musculoskeletal MRI. Medical Physics. 52(12). e70178–e70178.

Khodarahmi, Iman, et al.. (2024). Fat Suppression in Distal Extremity 3-T MRI Using Spectral Heterogeneity Adaptive Radiofrequency Pulses. Radiology. 312(3). e231184–e231184. 1 indexed citations

Brown, Ryan, Mahesh Keerthivasan, Mary Bruno, et al.. (2024). Preliminary Experience with Three Alternative Motion Sensors for 0.55 Tesla MR Imaging. Sensors. 24(12). 3710–3710.

Azour, Lea, Henry Rusinek, Artem Mikheev, et al.. (2024). Quantitative Characterization of Respiratory Patterns on Dynamic Higher Temporal Resolution MRI to Stratify Postacute Covid‐19 Patients by Cardiopulmonary Symptom Burden. Journal of Magnetic Resonance Imaging. 60(6). 2459–2469. 3 indexed citations

Prabhu, Vinay, et al.. (2022). Repeatability, robustness, and reproducibility of texture features on 3 Tesla liver MRI. Clinical Imaging. 83. 177–183. 5 indexed citations

10.

Azour, Lea, Rany Condos, Mahesh Keerthivasan, et al.. (2022). Low-field 0.55 T MRI for assessment of pulmonary groundglass and fibrosis-like opacities: Inter-reader and inter-modality concordance. European Journal of Radiology. 156. 110515–110515. 16 indexed citations

11.

Hoch, Michael, Mary Bruno, Donato Pacione, et al.. (2021). Simultaneous Multislice for Accelerating Diffusion MRI in Clinical Neuroradiology Protocols. American Journal of Neuroradiology. 42(8). 1437–1443. 5 indexed citations

12.

Lotan, Eyal, et al.. (2020). Medical Imaging and Privacy in the Era of Artificial Intelligence: Myth, Fallacy, and the Future. Journal of the American College of Radiology. 17(9). 1159–1162. 29 indexed citations

13.

Hoch, Michael, Mary Bruno, Arline Faustin, et al.. (2019). 3T MRI Whole-Brain Microscopy Discrimination of Subcortical Anatomy, Part 2: Basal Forebrain. American Journal of Neuroradiology. 40(7). 1095–1105. 14 indexed citations

14.

Leporq, Benjamin, et al.. (2018). Chemical shift-encoded MRI for assessment of bone marrow adipose tissue fat composition: Pilot study in premenopausal versus postmenopausal women. Magnetic Resonance Imaging. 53. 148–155. 28 indexed citations

15.

Shepherd, Timothy M., Ivan I. Kirov, Mary Bruno, et al.. (2017). New rapid, accurate T2 quantification detects pathology in normal-appearing brain regions of relapsing-remitting MS patients. NeuroImage Clinical. 14. 363–370. 27 indexed citations

16.

Hoch, Michael, Sohae Chung, Noam Ben‐Eliezer, et al.. (2016). New Clinically Feasible 3T MRI Protocol to Discriminate Internal Brain Stem Anatomy. American Journal of Neuroradiology. 37(6). 1058–1065. 21 indexed citations

17.

Chandarana, Hersh, Ankur M. Doshi, Krishna Shanbhogue, et al.. (2016). Three-dimensional MR Cholangiopancreatography in a Breath Hold with Sparsity-based Reconstruction of Highly Undersampled Data. Radiology. 280(2). 585–594. 54 indexed citations

18.

Lim, Ruth, et al.. (2014). Comparison of blood pool and extracellular gadolinium chelate for functional MR evaluation of vascular thoracic outlet syndrome. European Journal of Radiology. 83(7). 1209–1215. 7 indexed citations

19.

Atanasova, Iliyana P., Ruth Lim, Hersh Chandarana, et al.. (2014). Quadruple inversion-recovery b-SSFP MRA of the abdomen: Initial clinical validation. European Journal of Radiology. 83(9). 1612–1619. 5 indexed citations

20.

Kang, Stella K., William C. Huang, Samson Wong, et al.. (2013). Dynamic Contrast-Enhanced Magnetic Resonance Imaging Measurement of Renal Function in Patients Undergoing Partial Nephrectomy. Investigative Radiology. 48(10). 687–692. 11 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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