Guido Germano

26.2k total citations · 1 hit paper
314 papers, 15.4k citations indexed

About

Guido Germano is a scholar working on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Guido Germano has authored 314 papers receiving a total of 15.4k indexed citations (citations by other indexed papers that have themselves been cited), including 257 papers in Radiology, Nuclear Medicine and Imaging, 104 papers in Biomedical Engineering and 68 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Guido Germano's work include Cardiac Imaging and Diagnostics (222 papers), Advanced MRI Techniques and Applications (150 papers) and Medical Imaging Techniques and Applications (125 papers). Guido Germano is often cited by papers focused on Cardiac Imaging and Diagnostics (222 papers), Advanced MRI Techniques and Applications (150 papers) and Medical Imaging Techniques and Applications (125 papers). Guido Germano collaborates with scholars based in United States, United Kingdom and Germany. Guido Germano's co-authors include Daniel S. Berman, John D. Friedman, Piotr J. Slomka, Hosen Kiat, Sean W. Hayes, Rory Hachamovitch, Paul Kavanagh, Ishac Cohen, Xingping Kang and Howard C. Lewin and has published in prestigious journals such as New England Journal of Medicine, Journal of the American Chemical Society and Circulation.

In The Last Decade

Guido Germano

305 papers receiving 15.0k citations

Hit Papers

Automatic quantification of ejection fraction from gated ... 1995 2026 2005 2015 1995 250 500 750

Peers

Guido Germano
Sebastian Kozerke Switzerland
Tim Leiner Netherlands
René M. Botnar United Kingdom
Dennis L. Parker United States
David Firmin United Kingdom
Debiao Li United States
Stephen L. Bacharach United States
Donald L. Miller United States
Orlando P. Simonetti United States
Sebastian Kozerke Switzerland
Guido Germano
Citations per year, relative to Guido Germano Guido Germano (= 1×) peers Sebastian Kozerke

Countries citing papers authored by Guido Germano

Since Specialization
Citations

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

Fields of papers citing papers by Guido Germano

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guido Germano

This figure shows the co-authorship network connecting the top 25 collaborators of Guido Germano. A scholar is included among the top collaborators of Guido Germano 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 Guido Germano. Guido Germano 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
2.
Peters, Gareth W., et al.. (2025). Generative-Discriminative Machine Learning Models for High-Frequency Financial Regime Classification. Methodology And Computing In Applied Probability. 27(2).
3.
Lassen, Martin Lyngby, Jacek Kwieciński, Damini Dey, et al.. (2019). Triple-gated motion and blood pool clearance corrections improve reproducibility of coronary 18F-NaF PET. European Journal of Nuclear Medicine and Molecular Imaging. 46(12). 2610–2620. 39 indexed citations
4.
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
5.
Rubeaux, Mathieu, Yuan Xu, Guido Germano, Daniel S. Berman, & Piotr J. Slomka. (2016). Normal Databases for the Relative Quantification of Myocardial Perfusion. Current Cardiovascular Imaging Reports. 9(8). 18 indexed citations
6.
Gerardo‐Giorda, Luca, Guido Germano, & Enrico Scalas. (2015). Large scale simulation of synthetic markets. London School of Economics and Political Science Research Online (London School of Economics and Political Science). 6(2). 3 indexed citations
7.
Slomka, Piotr J., Tinsu Pan, & Guido Germano. (2015). Recent Advances and Future Progress in PET Instrumentation. Seminars in Nuclear Medicine. 46(1). 5–19. 95 indexed citations
8.
Slomka, Piotr J., Victor Cheng, Damini Dey, et al.. (2009). Quantitative Analysis of Myocardial Perfusion SPECT Anatomically Guided by Coregistered 64-Slice Coronary CT Angiography. Journal of Nuclear Medicine. 50(10). 1621–1630. 61 indexed citations
9.
Suzuki, Yasuyuki, Piotr J. Slomka, Arik Wolak, et al.. (2008). Motion-Frozen Myocardial Perfusion SPECT Improves Detection of Coronary Artery Disease in Obese Patients. Journal of Nuclear Medicine. 49(7). 1075–1079. 30 indexed citations
10.
Slomka, Piotr J., Ludovic Le Meunier, Sean W. Hayes, et al.. (2008). Comparison of Myocardial Perfusion 82Rb PET Performed with CT- and Transmission CT–Based Attenuation Correction. Journal of Nuclear Medicine. 49(12). 1992–1998. 32 indexed citations
11.
Berman, Daniel S., Rory Hachamovitch, Leslee J. Shaw, et al.. (2006). Roles of nuclear cardiology, cardiac computed tomography, and cardiac magnetic resonance: Noninvasive risk stratification and a conceptual framework for the selection of noninvasive imaging tests in patients with known or suspected coronary artery disease.. PubMed. 47(7). 1107–18. 84 indexed citations
12.
Patriarca, Marco, Anirban Chakraborti, Kimmo Kaski, & Guido Germano. (2005). Kinetic theory models for the distribution of wealth. arXiv (Cornell University). 1 indexed citations
13.
Germano, Guido & Friederike Schmid. (2004). Simulation of nematic-isotropic phase coexistence in liquid crystals under shear. UCL Discovery (University College London). 1 indexed citations
14.
Scalas, Enrico, et al.. (2004). Speculative option valuation: A supercomputing approach. RePEc: Research Papers in Economics. 1 indexed citations
15.
Berman, Daniel S., Xingping Kang, Sean W. Hayes, et al.. (2003). Adenosine myocardial perfusion single-photon emission computed tomography in women compared with men. Journal of the American College of Cardiology. 41(7). 1125–1133. 204 indexed citations
16.
Hachamovitch, Rory, Sean W. Hayes, John D. Friedman, et al.. (2003). Is there a referral bias againstcatheterization of patients withreduced left ventricular ejection fraction?. Journal of the American College of Cardiology. 42(7). 1286–1294. 21 indexed citations
17.
Germano, Guido. (2001). Doctoral education in Italy. UCL Discovery (University College London). 1 indexed citations
19.
Berman, Daniel S., Rory Hachamovitch, Hosen Kiat, et al.. (1995). Incremental value of prognostic testing in patients with known or suspected ischemic heart disease: A basis for optimal utilization of exercise technetium-99m sestamibi myocardial perfusion single-photon emission computed tomography. Journal of the American College of Cardiology. 26(3). 639–647. 442 indexed citations
20.
Kiat, Hosen, Guido Germano, Gerald Maurer, et al.. (1994). Gated technetium-99m sestamibi for simultaneous assessment of stress myocardial perfusion, postexercise regional ventricular function and myocardial viability. Journal of the American College of Cardiology. 23(5). 1107–1114. 187 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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