Michael Salerno

12.6k total citations · 3 hit papers
190 papers, 7.3k citations indexed

About

Michael Salerno is a scholar working on Radiology, Nuclear Medicine and Imaging, Cardiology and Cardiovascular Medicine and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Michael Salerno has authored 190 papers receiving a total of 7.3k indexed citations (citations by other indexed papers that have themselves been cited), including 131 papers in Radiology, Nuclear Medicine and Imaging, 93 papers in Cardiology and Cardiovascular Medicine and 28 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Michael Salerno's work include Cardiac Imaging and Diagnostics (102 papers), Advanced MRI Techniques and Applications (101 papers) and Cardiovascular Function and Risk Factors (44 papers). Michael Salerno is often cited by papers focused on Cardiac Imaging and Diagnostics (102 papers), Advanced MRI Techniques and Applications (101 papers) and Cardiovascular Function and Risk Factors (44 papers). Michael Salerno collaborates with scholars based in United States, United Kingdom and Sweden. Michael Salerno's co-authors include Christopher M. Kramer, Andrew J. Taylor, Talissa A. Altes, Michael Jerosch‐Herold, John P. Mugler, Jeffrey S. Berger, Frederick H. Epstein, Eduard E. de Lange, Rohan Dharmakumar and Michael J. Lipinski and has published in prestigious journals such as Nature Genetics, SHILAP Revista de lepidopterología and Journal of the American College of Cardiology.

In The Last Decade

Michael Salerno

179 papers receiving 7.2k citations

Hit Papers

align trajectories

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.

Clinical recommendations for cardiovascular magnetic resonance mapping of T1, T2, T2* and extracellular volume: A consensus statement by the Society for Cardiovascular Magnetic Resonance (SCMR) endorsed by the European Association for Cardiovascular Imaging (EACVI)

2016 1.1k citations Peter Kellman, Reza Nezafat et al. Journal of Cardiovascular Magnetic Resonance profile →
T1 Mapping

2016 411 citations Michael Salerno, Michael Jerosch‐Herold et al. profile →
Reference ranges (“normal values”) for cardiovascular magnetic resonance (CMR) in adults and children: 2020 update

2020 350 citations Michael Jerosch‐Herold, Michael Salerno et al. Journal of Cardiovascular Magnetic Resonance profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Michael Salerno United States	38	4.4k	4.1k	1.0k	992	685	190	7.3k
Anthony H. Aletras United States	36	6.1k 1.4×	5.0k 1.2×	351 0.3×	1.1k 1.1×	308 0.4×	108	8.8k
Robert G. Weiss United States	47	4.0k 0.9×	4.5k 1.1×	371 0.4×	833 0.8×	306 0.4×	191	8.2k
Ann Shimakawa United States	40	4.8k 1.1×	1.5k 0.4×	537 0.5×	797 0.8×	548 0.8×	84	6.8k
Debiao Li United States	53	7.3k 1.7×	2.5k 0.6×	1.3k 1.3×	1.3k 1.4×	2.1k 3.0×	431	9.8k
Orlando P. Simonetti United States	46	9.7k 2.2×	7.2k 1.8×	1.1k 1.0×	1.6k 1.6×	868 1.3×	235	13.2k
Juerg Schwitter Switzerland	44	4.9k 1.1×	3.4k 0.8×	484 0.5×	1.0k 1.0×	695 1.0×	211	6.7k
Jens Vogel‐Claussen Germany	38	2.0k 0.5×	1.6k 0.4×	1.2k 1.2×	814 0.8×	2.0k 3.0×	228	4.8k
Andreas Greiser Germany	41	4.3k 1.0×	3.9k 0.9×	381 0.4×	632 0.6×	567 0.8×	171	6.0k
Matthias Stuber United States	52	8.1k 1.9×	3.5k 0.9×	1.5k 1.5×	2.2k 2.2×	2.0k 2.9×	335	10.8k
René M. Botnar United Kingdom	51	7.6k 1.7×	3.2k 0.8×	1.2k 1.2×	2.1k 2.1×	2.2k 3.3×	412	11.0k

Countries citing papers authored by Michael Salerno

Since Specialization

Citations

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

Fields of papers citing papers by Michael Salerno

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Salerno

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Sweatt, Andrew J., et al.. (2025). Artificial Intelligence-Based Echocardiography in Pulmonary Arterial Hypertension. CHEST Journal. 169(1). 207–219. 1 indexed citations

Chiribiri, Amedeo, Andrew E. Arai, Edward DiBella, et al.. (2025). Society for cardiovascular magnetic resonance expert consensus statement on quantitative myocardial perfusion cardiovascular magnetic resonance imaging. Journal of Cardiovascular Magnetic Resonance. 27(2). 101940–101940. 2 indexed citations

Hughes, J. Weston, Sulaiman Somani, Pierre Elias, et al.. (2024). Simple models vs. deep learning in detecting low ejection fraction from the electrocardiogram. European Heart Journal - Digital Health. 5(4). 427–434. 2 indexed citations

Salerno, Michael, et al.. (2024). Deep learning‐based rapid image reconstruction and motion correction for high‐resolution cartesian first‐pass myocardial perfusion imaging at 3T. Magnetic Resonance in Medicine. 92(3). 1104–1114. 4 indexed citations

Shah, Neil, Mayil S. Krishnam, Martin Janich, et al.. (2024). Wideband radiofrequency pulse sequence for evaluation of myocardial scar in patients with cardiac implantable devices. SHILAP Revista de lepidopterología. 4. 1327406–1327406.

Pan, Jonathan A., A Löffler, Yang Yang, et al.. (2024). Cardiometabolic biomarker patterns associated with cardiac MRI defined fibrosis and microvascular dysfunction in patients with heart failure with preserved ejection fraction. Frontiers in Cardiovascular Medicine. 11. 1334226–1334226. 3 indexed citations

Chen, Quan, et al.. (2024). Non-rigid Motion Corrected Reconstruction with Nonlocally Low-rank Tensor Decomposition Based Regularization for High-resolution Cartesian First-pass Myocardial Perfusion Imaging at 3 Tesla. Journal of Cardiovascular Magnetic Resonance. 26. 100316–100316. 1 indexed citations

Balanoff, Amy M., Elizabeth Ferrer, Paul M. Gignac, et al.. (2024). Quantitative functional imaging of the pigeon brain: implications for the evolution of avian powered flight. Proceedings of the Royal Society B Biological Sciences. 291(2015). 20232172–20232172. 4 indexed citations

Ichimura, Kenzo, et al.. (2024). Tricuspid annular plane systolic excursion in pulmonary hypertension—Moving beyond the sector plane. Pulmonary Circulation. 14(3). e12416–e12416.

10.

Ichimura, Kenzo, Pablo Sanchez, Anna R. Hemnes, et al.. (2024). Identifying consistent echocardiographic thresholds for risk stratification in pulmonary arterial hypertension. Pulmonary Circulation. 14(2). e12361–e12361. 9 indexed citations

11.

Salerno, Michael, et al.. (2024). Automatic Skin Flash Optimization in VMAT with Static-Angle Ports: Effect of Flash Margin Size on Breast and Chest wall Plan Quality and Robustness. International Journal of Radiation Oncology*Biology*Physics. 120(2). e139–e139. 1 indexed citations

12.

Ichimura, Kenzo, Tatiana Kuznetsova, Nicholas Cauwenberghs, et al.. (2023). Novel left ventricular mechanical index in pulmonary arterial hypertension. Pulmonary Circulation. 13(2). e12216–e12216. 4 indexed citations

13.

O’Sullivan, Jack W., Theresia M. Schnurr, Pagé C. Goddard, et al.. (2023). Genetic architecture of cardiac dynamic flow volumes. Nature Genetics. 56(2). 245–257. 12 indexed citations

14.

Cauwenberghs, Nicholas, François Haddad, Melissa A. Daubert, et al.. (2023). Clinical and Echocardiographic Diversity Associated With Physical Fitness in the Project Baseline Health Study: Implications for Heart Failure Staging. Journal of Cardiac Failure. 29(11). 1477–1489. 2 indexed citations

15.

Arai, Andrew E., Raymond Y. Kwong, Michael Salerno, John P. Greenwood, & Chiara Bucciarelli‐Ducci. (2022). Society for Cardiovascular Magnetic Resonance perspective on the 2021 AHA/ACC Chest Pain Guidelines. Journal of Cardiovascular Magnetic Resonance. 24(1). 8–8. 6 indexed citations

16.

Kim, Kristine, Michael Salerno, Payal D. Shah, Jennifer M. Matro, & Michael J. LaRiviere. (2022). Severe acute radiation dermatitis after palbociclib therapy in the setting of palliative radiotherapy. Journal of Oncology Pharmacy Practice. 29(3). 764–767. 1 indexed citations

17.

Patel, Amit R., Michael Salerno, Raymond Y. Kwong, et al.. (2021). Stress Cardiac Magnetic Resonance Myocardial Perfusion Imaging. Journal of the American College of Cardiology. 78(16). 1655–1668. 77 indexed citations

18.

Hamirani, Yasmin S., et al.. (2016). Anthracycline- and trastuzumab-induced cardiotoxicity: a retrospective study. Medical Oncology. 33(7). 82–82. 30 indexed citations

19.

Chow, Kelvin, Peter Kellman, Bruce Spottiswoode, et al.. (2015). Saturation pulse design for quantitative myocardial T1 mapping. Journal of Cardiovascular Magnetic Resonance. 17(1). 84–84. 31 indexed citations

20.

Salerno, Michael. (2007). Reading Is Fundamental: Why the No Child Left Behind Act Necessitates Recognition of a Fundamental Right to Education.

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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