Daniel S. Berman

111.8k total citations · 16 hit papers
1.1k papers, 54.6k citations indexed

About

Daniel S. Berman is a scholar working on Radiology, Nuclear Medicine and Imaging, Cardiology and Cardiovascular Medicine and Biomedical Engineering. According to data from OpenAlex, Daniel S. Berman has authored 1.1k papers receiving a total of 54.6k indexed citations (citations by other indexed papers that have themselves been cited), including 954 papers in Radiology, Nuclear Medicine and Imaging, 490 papers in Cardiology and Cardiovascular Medicine and 299 papers in Biomedical Engineering. Recurrent topics in Daniel S. Berman's work include Cardiac Imaging and Diagnostics (893 papers), Advanced MRI Techniques and Applications (312 papers) and Advanced X-ray and CT Imaging (282 papers). Daniel S. Berman is often cited by papers focused on Cardiac Imaging and Diagnostics (893 papers), Advanced MRI Techniques and Applications (312 papers) and Advanced X-ray and CT Imaging (282 papers). Daniel S. Berman collaborates with scholars based in United States, Canada and United Kingdom. Daniel S. Berman's co-authors include John D. Friedman, Leslee J. Shaw, Guido Germano, Piotr J. Slomka, Sean W. Hayes, Rory Hachamovitch, Ishac Cohen, Alan Rozanski, Jamshid Maddahi and Hosen Kiat and has published in prestigious journals such as New England Journal of Medicine, The Lancet and JAMA.

In The Last Decade

Daniel S. Berman

1.1k papers receiving 52.9k citations

Hit Papers

Intracoronary cardiosphere-deri... 1988 2026 2000 2013 2012 2007 1995 2003 1998 250 500 750 1000

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel S. Berman United States 119 40.6k 27.2k 15.7k 12.3k 4.4k 1.1k 54.6k
Leslee J. Shaw United States 101 26.9k 0.7× 23.8k 0.9× 12.4k 0.8× 7.0k 0.6× 3.7k 0.8× 634 41.7k
David A. Bluemke United States 115 25.2k 0.6× 32.0k 1.2× 8.6k 0.5× 5.2k 0.4× 8.5k 2.0× 934 56.4k
Udo Hoffmann United States 87 16.4k 0.4× 14.0k 0.5× 8.8k 0.6× 5.5k 0.4× 4.1k 0.9× 555 31.3k
João A.C. Lima United States 107 23.3k 0.6× 35.5k 1.3× 9.3k 0.6× 5.3k 0.4× 6.6k 1.5× 1.0k 53.8k
Thomas H. Marwick Australia 108 21.0k 0.5× 41.5k 1.5× 8.2k 0.5× 3.0k 0.2× 4.8k 1.1× 946 50.1k
Jeroen J. Bax Netherlands 124 27.0k 0.7× 60.6k 2.2× 21.7k 1.4× 5.6k 0.5× 9.3k 2.1× 1.6k 75.6k
Matthew J. Budoff United States 119 27.5k 0.7× 26.2k 1.0× 16.6k 1.1× 7.8k 0.6× 7.4k 1.7× 1.5k 60.1k
Stephan Achenbach Germany 84 21.0k 0.5× 11.8k 0.4× 10.1k 0.6× 9.3k 0.8× 4.1k 0.9× 587 28.2k
Eric Boersma Netherlands 103 13.4k 0.3× 29.8k 1.1× 17.7k 1.1× 2.6k 0.2× 6.5k 1.5× 703 40.7k
Harvey D. White New Zealand 99 14.0k 0.3× 45.2k 1.7× 21.6k 1.4× 3.2k 0.3× 4.2k 1.0× 719 57.9k

Countries citing papers authored by Daniel S. Berman

Since Specialization
Citations

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

Fields of papers citing papers by Daniel S. Berman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel S. Berman. 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 Daniel S. Berman. The network helps show where Daniel S. Berman may publish in the future.

Co-authorship network of co-authors of Daniel S. Berman

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel S. Berman. A scholar is included among the top collaborators of Daniel S. Berman 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 Daniel S. Berman. Daniel S. Berman 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.
Filtz, Annalisa, Eduardo Gil, Leslee J. Shaw, et al.. (2025). Epicardial adipose tissue, cardiac damage, and mortality in patients undergoing TAVR for aortic stenosis. The International Journal of Cardiovascular Imaging. 41(2). 279–290. 1 indexed citations
2.
Miller, Robert J.H., Paul Kavanagh, Mark A. Lemley, et al.. (2025). Artificial Intelligence–Enhanced Perfusion Scoring Improves the Diagnostic Accuracy of Myocardial Perfusion Imaging. Journal of Nuclear Medicine. 66(4). 648–653. 1 indexed citations
4.
Miller, Robert J.H., Mark Lemley, Joanna X. Liang, et al.. (2025). Incremental diagnostic value of artificial intelligence-derived coronary artery calcium in 18F-flurpiridaz positron emission tomography myocardial perfusion imaging. Journal of Nuclear Cardiology. 54. 102532–102532.
5.
Kuronuma, Keiichiro, Mark Hyun, Donghee Han, et al.. (2024). Head-to-head comparison of 18F-sodium fluoride coronary PET imaging between a silicon photomultiplier with digital photon counting and conventional scanners. Journal of Nuclear Cardiology. 42. 102045–102045. 1 indexed citations
6.
Hong, Wei, Daniel S. Berman, Damini Dey, et al.. (2024). Coronary Artery Calcium Density and Risk of Cardiovascular Events. JACC. Cardiovascular imaging. 18(3). 294–304. 2 indexed citations
7.
Miller, Robert J.H., Aakash Shanbhag, Aditya Killekar, et al.. (2024). AI-derived epicardial fat measurements improve cardiovascular risk prediction from myocardial perfusion imaging. npj Digital Medicine. 7(1). 24–24. 15 indexed citations
8.
Kuronuma, Keiichiro, Robert J.H. Miller, Serge D. Van Kriekinge, et al.. (2023). Incremental prognostic value of stress phase entropy over standard PET myocardial perfusion imaging variables. European Journal of Nuclear Medicine and Molecular Imaging. 50(12). 3619–3629. 1 indexed citations
9.
Liu, Ting, Andrew G. Howarth, Yinyin Chen, et al.. (2022). Intramyocardial Hemorrhage and the “Wave Front” of Reperfusion Injury Compromising Myocardial Salvage. Journal of the American College of Cardiology. 79(1). 35–48. 49 indexed citations
10.
Quesada, Odayme, Michael D. Nelson, Ahmed AlBadri, et al.. (2022). Ultra-high sensitivity cardiac troponin-I concentration and left ventricular structure and function in women with ischemia and no obstructive coronary artery disease. SHILAP Revista de lepidopterología. 13. 100115–100115. 3 indexed citations
11.
Kwan, Alan C., Heidi Gransar, Evangelos Tzolos, et al.. (2021). The accuracy of coronary CT angiography in patients with coronary calcium score above 1000 Agatston Units: Comparison with quantitative coronary angiography. Journal of cardiovascular computed tomography. 15(5). 412–418. 21 indexed citations
12.
Tzolos, Evangelos, Donghee Han, John D. Friedman, et al.. (2021). Detection of small coronary calcifications in patients with Agatston coronary artery calcium score of zero. Journal of cardiovascular computed tomography. 16(2). 150–154. 5 indexed citations
13.
Han, Donghee, Alan Rozanski, Heidi Gransar, et al.. (2019). Myocardial Ischemic Burden and Differences in Prognosis Among Patients With and Without Diabetes: Results From the Multicenter International REFINE SPECT Registry. Diabetes Care. 43(2). 453–459. 16 indexed citations
14.
Matsumoto, Hidenari, Satoshi Watanabe, Eisho Kyo, et al.. (2019). Improved Evaluation of Lipid-Rich Plaque at Coronary CT Angiography: Head-to-Head Comparison with Intravascular US. Radiology Cardiothoracic Imaging. 1(5). e190069–e190069. 10 indexed citations
15.
Maron, David J., G.B. John Mancini, Pamela Hartigan, et al.. (2018). Healthy Behavior, Risk Factor Control, and Survival in the COURAGE Trial. Journal of the American College of Cardiology. 72(19). 2297–2305. 32 indexed citations
16.
Dey, Damini, Annika Schuhbaeck, James K. Min, Daniel S. Berman, & Stephan Achenbach. (2013). Non-invasive measurement of coronary plaque from coronary CT angiography and its clinical implications. Expert Review of Cardiovascular Therapy. 11(8). 1067–1077. 11 indexed citations
17.
Naghavi, Morteza, Daniel S. Berman, & Valentı́n Fuster. (2010). Asymptomatic Atherosclerosis. Pathophysiology, Detection and Treatment. DIAL (Catholic University of Leuven). 23 indexed citations
18.
Germano, Guido, Paul Kavanagh, Piotr J. Slomka, et al.. (2007). Quantitation in gated perfusion SPECT imaging: The Cedars-Sinai approach. Journal of Nuclear Cardiology. 14(4). 433–454. 177 indexed citations
20.
Moriel, Mady, Alan Rozanski, Jacob Klein, Daniel S. Berman, & C. Noel Bairey Merz. (1995). The limited efficacy of exercise radionuclide ventriculography in assessing prognosis of women with coronary artery disease. The American Journal of Cardiology. 76(14). 1030–1035. 15 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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