Michael Jerosch‐Herold
About
Michael Jerosch‐Herold is a scholar working on Radiology, Nuclear Medicine and Imaging, Cardiology and Cardiovascular Medicine and Surgery.
According to data from OpenAlex, Michael Jerosch‐Herold has authored 297 papers receiving a total of 14.2k indexed citations (citations by other indexed papers that have themselves been cited), including 201 papers in Radiology, Nuclear Medicine and Imaging, 181 papers in Cardiology and Cardiovascular Medicine and 39 papers in Surgery. Recurrent topics in Michael Jerosch‐Herold's work include Cardiac Imaging and Diagnostics (170 papers), Advanced MRI Techniques and Applications (140 papers) and Cardiovascular Function and Risk Factors (94 papers). Michael Jerosch‐Herold is often cited by papers focused on Cardiac Imaging and Diagnostics (170 papers), Advanced MRI Techniques and Applications (140 papers) and Cardiovascular Function and Risk Factors (94 papers). Michael Jerosch‐Herold collaborates with scholars based in United States, Germany and United Kingdom. Michael Jerosch‐Herold's co-authors include Raymond Y. Kwong, Norbert Wilke, Arthur E. Stillman, David A. Bluemke, Ravi V. Shah, João A.C. Lima, Otávio R. Coelho‐Filho, Ron Blankstein, Tomas G. Neilan and Siddique Abbasi and has published in prestigious journals such as Circulation, Physical review. B, Condensed matter and Journal of the American College of Cardiology.
In The Last Decade
Michael Jerosch‐Herold
287 papers receiving 14.0k citations
Hit Papers
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late) cites · hero ref
| Name | h | Career | Trend | Papers | Cites | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Michael Jerosch‐Herold United States | 67 | 8.8k | 7.9k | 2.2k | 1.5k | 1.4k | 297 | 14.2k | ||
| Matthew D. Robson United Kingdom | 67 | 7.8k 0.9× | 10.0k 1.3× | 1.9k 0.9× | 2.0k 1.4× | 882 0.6× | 243 | 16.9k | ||
| Jeanette Schulz‐Menger Germany | 55 | 11.8k 1.3× | 8.4k 1.1× | 2.4k 1.1× | 1.9k 1.2× | 799 0.6× | 286 | 16.0k | ||
| Andrew E. Arai United States | 71 | 9.1k 1.0× | 10.6k 1.3× | 2.3k 1.0× | 950 0.6× | 1.7k 1.2× | 307 | 16.6k | ||
| Matthias G. Friedrich Canada | 56 | 13.5k 1.5× | 10.3k 1.3× | 3.3k 1.5× | 1.8k 1.2× | 898 0.6× | 353 | 18.9k | ||
| Sven Plein United Kingdom | 59 | 10.1k 1.2× | 10.8k 1.4× | 3.0k 1.4× | 1.6k 1.1× | 1.6k 1.2× | 497 | 16.3k | ||
| Peter Kellman United States | 74 | 9.8k 1.1× | 13.3k 1.7× | 1.8k 0.9× | 1.3k 0.9× | 1.4k 1.0× | 373 | 18.8k | ||
| Christopher M. Kramer United States | 67 | 12.9k 1.5× | 10.0k 1.3× | 4.1k 1.9× | 1.7k 1.1× | 1.7k 1.2× | 368 | 19.6k | ||
| Albert C. van Rossum Netherlands | 64 | 9.9k 1.1× | 8.2k 1.0× | 3.4k 1.6× | 930 0.6× | 1.3k 1.0× | 484 | 14.9k | ||
| Raymond Y. Kwong United States | 54 | 7.3k 0.8× | 5.2k 0.7× | 1.9k 0.9× | 939 0.6× | 874 0.6× | 273 | 11.3k | ||
| Jane M Francis United Kingdom | 62 | 9.3k 1.1× | 5.9k 0.8× | 2.2k 1.0× | 1.8k 1.2× | 541 0.4× | 230 | 13.1k |
Countries citing papers authored by Michael Jerosch‐Herold
Since
Specialization
Citations
This map shows the geographic impact of Michael Jerosch‐Herold'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 Jerosch‐Herold with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Jerosch‐Herold more than expected).
Fields of papers citing papers by Michael Jerosch‐Herold
Since
Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences
This network shows the impact of papers produced by Michael Jerosch‐Herold. 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 Jerosch‐Herold. The network helps show where Michael Jerosch‐Herold may publish in the future.
Co-authorship network of co-authors of Michael Jerosch‐Herold
This figure shows the co-authorship network connecting the top 25 collaborators of Michael Jerosch‐Herold. A scholar is included among the top collaborators of Michael Jerosch‐Herold 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 Jerosch‐Herold. Michael Jerosch‐Herold is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
1.
Bernhard, Benedikt, Bobak Heydari, Michael Jerosch‐Herold, et al.. (2025). Artificial intelligence-assist cardiac magnetic resonance versus standard-of-care in assessment of cardiomyopathy. Journal of Cardiovascular Magnetic Resonance. 27. 101520–101520.
2.
Dushay, Jody, Ying Zhang, Ron Blankstein, et al.. (2025). Effects of Age and Sex on Systemic Inflammation and Cardiometabolic Function in Individuals With Type 2 Diabetes. Journal of the American Heart Association. 14(3). e037863–e037863.
3.
Benz, Dominik C., Olivier Clerc, Sarah Cuddy, et al.. (2025). Changes in Myocardial Light Chain Amyloid Burden After Plasma Cell Therapy. JACC. Cardiovascular imaging. 18(12). 1363–1374.
4.
Clerc, Olivier, Sarah Cuddy, Giada Bianchi, et al.. (2024). Prognostic Value of Left Ventricular 18F-Florbetapir Uptake in Systemic Light-Chain Amyloidosis. JACC. Cardiovascular imaging. 17(8). 911–922.
5.
Ge, Yin, Panagiotis Antiochos, Ayako Seno, et al.. (2023). Diagnostic Impact and Prognostic Value of Cardiac Magnetic Resonance in Patients With Ventricular Arrhythmias. JACC. Cardiovascular imaging. 16(12). 1536–1549.
6.
Jerosch‐Herold, Michael, Carsten Rickers, Steffen E. Petersen, & Otávio R. Coelho‐Filho. (2023). Myocardial Tissue Characterization in Cardiac Magnetic Resonance Studies of Patients Recovering From COVID‐19: A Meta‐Analysis. Journal of the American Heart Association. 12(6). e027801–e027801.
7.
Ruberg, Frederick L., Aaron L. Baggish, Allison G. Hays, et al.. (2022). Utilization of cardiovascular magnetic resonance (CMR) imaging for resumption of athletic activities following COVID-19 infection: an expert consensus document on behalf of the American Heart Association Council on Cardiovascular Radiology and Intervention (CVRI) Leadership and endorsed by the Society for Cardiovascular Magnetic Resonance (SCMR). Journal of Cardiovascular Magnetic Resonance. 24(1). 73–73.
8.
Guo, Rui, Sebastian Weingärtner, Christian T. Stoeck, et al.. (2021). Emerging Techniques in Cardiac Magnetic Resonance Imaging. Journal of Magnetic Resonance Imaging. 55(4). 1043–1059.
9.
Pezel, Théo, et al.. (2021). What Is the Clinical Impact of Stress CMR After the ISCHEMIA Trial?. Frontiers in Cardiovascular Medicine. 8. 683434–683434.
10.
Fujikura, Kana, Bobak Heydari, Yin Ge, et al.. (2019). Insulin Resistance Modifies the Effects of Omega-3 Acid Ethyl Esters on Left Ventricular Remodeling After Acute Myocardial Infarction (from the OMEGA-REMODEL Randomized Clinical Trial). The American Journal of Cardiology. 125(5). 678–684.
11.
Stillman, Arthur E., Matthijs Oudkerk, David A. Bluemke, et al.. (2018). Imaging the myocardial ischemic cascade. International journal of cardiac imaging. 34(8). 1249–1263.
12.
Heydari, Bobak, Otávio R. Coelho‐Filho, Venkatesh L. Murthy, et al.. (2013). Stress Cardiac Magnetic Resonance Imaging Provides Effective Cardiac Risk Reclassification in Patients With Known or Suspected Stable Coronary Artery Disease. Circulation. 128(6). 605–614.
13.
Voges, Inga, Michael Jerosch‐Herold, Jürgen Hedderich, et al.. (2010). Maladaptive Aortic Properties in Children After Palliation of Hypoplastic Left Heart Syndrome Assessed by Cardiovascular Magnetic Resonance Imaging. Circulation. 122(11). 1068–1076.
14.
Steel, Kevin, Ryan Broderick, Éric Larose, et al.. (2009). Complementary Prognostic Values of Stress Myocardial Perfusion and Late Gadolinium Enhancement Imaging by Cardiac Magnetic Resonance in Patients With Known or Suspected Coronary Artery Disease. Circulation. 120(14). 1390–1400.
15.
Neuwelt, Edward A., Csanád Várallyay, Sándor Manninger, et al.. (2007). THE POTENTIAL OF FERUMOXYTOL NANOPARTICLE MAGNETIC RESONANCE IMAGING, PERFUSION, AND ANGIOGRAPHY IN CENTRAL NERVOUS SYSTEM MALIGNANCY. Neurosurgery. 60(4). 601–612.
16.
Panse, Prasad M., et al.. (2006). Magnetic resonance quantitative myocardial perfusion reserve demonstrates improved myocardial blood flow after angiogenic implant therapy. International journal of cardiac imaging. 23(2). 217–224.
17.
Rosen, Boaz D., et al.. (2004). 1145-117 Reduction in regional myocardial function is associated with concentric left ventricular remodeling: Multi-ethnic study of atherosclerosis. Journal of the American College of Cardiology. 43(5). A221–A221.
18.
Muehling, Olaf, Norbert Wilke, Prasad M. Panse, et al.. (2003). Reduced myocardial perfusion reserve and transmural perfusiongradient in heart transplant arteriopathyassessed by magnetic resonance imaging. Journal of the American College of Cardiology. 42(6). 1054–1060.
19.
Panting, Jonathan, Peter Gatehouse, Guang Yang, et al.. (2001). Echo‐planar magnetic resonance myocardial perfusion imaging: Parametric map analysis and comparison with thallium SPECT. Journal of Magnetic Resonance Imaging. 13(2). 192–200.
20.
Panting, Jonathan, Peter Gatehouse, Guang Yang, et al.. (2001). Echo-planar magnetic resonance myocardial perfusion imaging: Parametric map analysis and comparison with thallium SPECT. Journal of Magnetic Resonance Imaging. 13(2). 192–200.
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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