Daniel S. Berman

1.2k total citations
33 papers, 776 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 33 papers receiving a total of 776 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Radiology, Nuclear Medicine and Imaging, 12 papers in Cardiology and Cardiovascular Medicine and 5 papers in Biomedical Engineering. Recurrent topics in Daniel S. Berman's work include Cardiac Imaging and Diagnostics (23 papers), Advanced MRI Techniques and Applications (12 papers) and Medical Imaging Techniques and Applications (6 papers). Daniel S. Berman is often cited by papers focused on Cardiac Imaging and Diagnostics (23 papers), Advanced MRI Techniques and Applications (12 papers) and Medical Imaging Techniques and Applications (6 papers). Daniel S. Berman collaborates with scholars based in United States, Canada and United Kingdom. Daniel S. Berman's co-authors include Guido Germano, Leslee J. Shaw, Hosen Kiat, J Areeda, Terrance Chua, Howard C. Lewin, Rory Hachamovitch, Piotr J. Slomka, Louise Thomson and Mark I. Travin and has published in prestigious journals such as Journal of the American College of Cardiology, The American Journal of Cardiology and Journal of General Internal Medicine.

In The Last Decade

Daniel S. Berman

29 papers receiving 741 citations

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 12 631 393 163 127 35 33 776
Sirish Shrestha United States 11 414 0.7× 414 1.1× 96 0.6× 165 1.3× 31 0.9× 26 810
Soo‐Jin Kang South Korea 18 792 1.3× 807 2.1× 630 3.9× 222 1.7× 31 0.9× 66 1.3k
Jacqueline Baras Shreibati United States 12 258 0.4× 417 1.1× 193 1.2× 186 1.5× 29 0.8× 21 784
Ran Vas United States 13 405 0.6× 394 1.0× 149 0.9× 120 0.9× 14 0.4× 31 645
Marcus Schreckenberg United States 7 296 0.5× 413 1.1× 90 0.6× 44 0.3× 37 1.1× 14 525
Laura A. Hallock United States 4 287 0.5× 329 0.8× 72 0.4× 102 0.8× 57 1.6× 6 600
S. Meij Netherlands 8 255 0.4× 332 0.8× 175 1.1× 28 0.2× 17 0.5× 14 523
Sravani Gajjala United States 3 284 0.5× 329 0.8× 70 0.4× 76 0.6× 57 1.6× 7 575
J.D. van Dijk Netherlands 13 228 0.4× 71 0.2× 276 1.7× 272 2.1× 8 0.2× 38 641
Sergio Sanchez‐Martinez Spain 8 186 0.3× 276 0.7× 56 0.3× 66 0.5× 14 0.4× 16 537

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.
Tomasino, Guadalupe Flores, Caroline Park, Kajetan Grodecki, et al.. (2025). Coronary plaque characteristics quantified by artificial intelligence-enabled plaque analysis: Insights from a multi-ethnic asymptomatic US population. American Journal of Preventive Cardiology. 21. 100929–100929. 1 indexed citations
2.
Shanbhag, Aakash, Robert J.H. Miller, Mark A. Lemley, et al.. (2025). General Purpose Deep Learning Attenuation Correction Improves Diagnostic Accuracy of SPECT MPI. JACC. Cardiovascular imaging. 18(11). 1235–1246. 1 indexed citations
3.
Weir‐McCall, Jonathan, Jian Chen, Zheng Jin, et al.. (2025). Socioeconomic status, cardiovascular risk factors and coronary atherosclerosis: a SCOT-HEART trial analysis. European Journal of Preventive Cardiology. 4 indexed citations
4.
Lemley, Mark A., Paul Kavanagh, Christopher Buckley, et al.. (2025). Subendocardial quantification enhances coronary artery disease detection in 18F-flurpiridaz PET. European Journal of Nuclear Medicine and Molecular Imaging. 52(9). 3342–3352. 2 indexed citations
5.
Hong, Wei, Kostas Tsigaridis, Robert J.H. Miller, et al.. (2025). Impact of statins on progression of coronary artery calcium composition and density as assessed by noncontrast CT. The International Journal of Cardiovascular Imaging. 41(12). 2481–2492.
6.
Shanbhag, Aakash, Robert J.H. Miller, Parker Waechter, et al.. (2024). AI-Derived Left Ventricular Mass From Noncontrast Cardiac CT. JACC Advances. 3(10). 101249–101249. 3 indexed citations
7.
Kuronuma, Keiichiro, Robert J.H. Miller, Ananya Singh, et al.. (2024). Downward myocardial creep during stress PET imaging is inversely associated with mortality. European Journal of Nuclear Medicine and Molecular Imaging. 51(6). 1622–1631. 1 indexed citations
8.
Berman, Daniel S., et al.. (2023). MutaGAN: A sequence-to-sequence GAN framework to predict mutations of evolving protein populations. Virus Evolution. 9(1). vead022–vead022. 11 indexed citations
9.
Razavi, Alexander C., S.M. Iftekhar Uddin, Zeina Dardari, et al.. (2022). CORONARY ARTERY CALCIUM FOR RISK STRATIFICATION OF SUDDEN CARDIAC DEATH:THE CORONARY ARTERY CALCIUM CONSORTIUM. Journal of the American College of Cardiology. 79(9). 1450–1450. 3 indexed citations
10.
Singh, Ananya, Konrad Pieszko, Aakash Shanbhag, et al.. (2022). IMPROVED MORTALITY RISK ASSESSMENT FROM MYOCARDIAL PET FLOW, PERFUSION AND CALCIUM SCORES USING ARTIFICIAL INTELLIGENCE. Journal of the American College of Cardiology. 79(9). 1182–1182. 1 indexed citations
11.
Mehta, Puja K., Pavel Goykhman, Louise Thomson, et al.. (2011). Ranolazine Improves Angina in Women With Evidence of Myocardial Ischemia But No Obstructive Coronary Artery Disease. JACC. Cardiovascular imaging. 4(5). 514–522. 147 indexed citations
12.
13.
Shaw, Leslee J., Rory Hachamovitch, Gary V. Heller, et al.. (2000). Noninvasive strategies for the estimation of cardiac risk in stable chest pain patients. The American Journal of Cardiology. 86(1). 1–7. 63 indexed citations
14.
Hachamovitch, Rory, et al.. (1999). Using an outcomes-based approach to identify candidates for risk stratification after exercise treadmill testing. Journal of General Internal Medicine. 14(1). 1–9. 28 indexed citations
15.
Berman, Daniel S., Guido Germano, & Leslee J. Shaw. (1999). The role of nuclear cardiology in clinical decision making. Seminars in Nuclear Medicine. 29(4). 280–297. 70 indexed citations
16.
Heller, Gary V., Mark I. Travin, Michael S. Lauer, et al.. (1999). Cost analysis of diagnostic testing for coronary artery disease in women with stable chest pain. Journal of Nuclear Cardiology. 6(6). 559–569. 59 indexed citations
17.
Berman, Daniel S., et al.. (1997). Imaging techniques for coronary artery disease: Current status and future directions. Clinical Cardiology. 20(6). 526–532. 4 indexed citations
18.
Berman, Daniel S. & Guido Germano. (1997). Evaluation of ventricular ejection fraction, wall motion, wall thickening, and other parameters with gated myocardial perfusion single-photon emission computed tomography. Journal of Nuclear Cardiology. 4(2). S169–S171. 51 indexed citations
19.
Prigent, F, et al.. (1991). Comparison of thallium-201 SPECT and planar imaging methods for quantification of experimental myocardial infarct size. American Heart Journal. 122(4). 972–979. 13 indexed citations
20.
Kiat, Hosen, John D. Friedman, Fan Ping Wang, et al.. (1991). Frequency of late reversibility in stress-redistribution thallium-201 SPECT using an early reinjection protocol. American Heart Journal. 122(3). 613–619. 17 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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