Roberta Green

1.2k total citations
46 papers, 689 citations indexed

About

Roberta Green is a scholar working on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Roberta Green has authored 46 papers receiving a total of 689 indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Radiology, Nuclear Medicine and Imaging, 16 papers in Biomedical Engineering and 14 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Roberta Green's work include Cardiac Imaging and Diagnostics (30 papers), Advanced X-ray and CT Imaging (15 papers) and Advanced MRI Techniques and Applications (14 papers). Roberta Green is often cited by papers focused on Cardiac Imaging and Diagnostics (30 papers), Advanced X-ray and CT Imaging (15 papers) and Advanced MRI Techniques and Applications (14 papers). Roberta Green collaborates with scholars based in Italy, United Kingdom and United States. Roberta Green's co-authors include Valeria Cantoni, Alberto Cuocolo, Wanda Acampa, Mario Petretta, Carmela Nappi, Renato Cuocolo, Valeria Gaudieri, Emilia Zampella, Roberta Assante and Teresa Mannarino and has published in prestigious journals such as Radiology, European Journal of Nuclear Medicine and Molecular Imaging and European Radiology.

In The Last Decade

Roberta Green

44 papers receiving 680 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Roberta Green Italy 16 439 177 158 147 108 46 689
Valeria Cantoni Italy 17 489 1.1× 229 1.3× 218 1.4× 166 1.1× 120 1.1× 56 828
Ryan Zea United States 13 329 0.7× 195 1.1× 117 0.7× 180 1.2× 81 0.8× 36 791
Laura Jiménez‐Juan Canada 12 291 0.7× 106 0.6× 288 1.8× 77 0.5× 171 1.6× 58 565
Martijn J. A. Gondrie Netherlands 12 497 1.1× 125 0.7× 272 1.7× 221 1.5× 250 2.3× 18 811
Jeremy R. Burt United States 15 532 1.2× 143 0.8× 352 2.2× 169 1.1× 216 2.0× 69 952
Elizabeth Le United Kingdom 13 483 1.1× 118 0.7× 147 0.9× 199 1.4× 225 2.1× 24 826
Jeanne B. Ackman United States 17 401 0.9× 190 1.1× 39 0.2× 192 1.3× 232 2.1× 50 875
Fu‐Zong Wu Taiwan 21 455 1.0× 209 1.2× 191 1.2× 101 0.7× 551 5.1× 76 1.0k
Cameron Hassani United States 12 279 0.6× 111 0.6× 150 0.9× 81 0.6× 130 1.2× 29 595
Teruhito Kido Japan 21 973 2.2× 255 1.4× 376 2.4× 437 3.0× 125 1.2× 111 1.3k

Countries citing papers authored by Roberta Green

Since Specialization
Citations

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

Fields of papers citing papers by Roberta Green

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Roberta Green

This figure shows the co-authorship network connecting the top 25 collaborators of Roberta Green. A scholar is included among the top collaborators of Roberta Green 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 Roberta Green. Roberta Green 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.
Green, Roberta, et al.. (2026). Peptide receptor radionuclide therapy (PRRT) in high grade neuroendocrine neoplasms: a systematic review and meta-analysis. European Journal of Nuclear Medicine and Molecular Imaging.
2.
D’Antonio, Adriana, Valeria Cantoni, Roberta Green, et al.. (2025). Prognostic value of myocardial flow reserve by PET imaging in patients with suspected coronary artery disease: A systematic review and meta-analysis. IJC Heart & Vasculature. 58. 101677–101677.
3.
Megna, Rosario, Mario Petretta, Carmela Nappi, et al.. (2023). Age-Specific Cardiovascular Risk Factors for Major Adverse Cardiac Events in Patients Undergoing Myocardial Perfusion Imaging. Journal of Cardiovascular Development and Disease. 10(9). 395–395. 1 indexed citations
4.
Ponsiglione, Andrea, Michele Gambardella, Arnaldo Stanzione, et al.. (2023). Radiomics for the identification of extraprostatic extension with prostate MRI: a systematic review and meta-analysis. European Radiology. 34(6). 3981–3991. 11 indexed citations
5.
Ponsiglione, Andrea, Michele Gambardella, Roberta Green, et al.. (2022). Cardiovascular magnetic resonance native T1 mapping in Anderson-Fabry disease: a systematic review and meta-analysis. Journal of Cardiovascular Magnetic Resonance. 24(1). 31–31. 19 indexed citations
6.
Zampella, Emilia, Teresa Mannarino, Adriana D’Antonio, et al.. (2022). Prediction of outcome by 82Rb PET/CT in patients with ischemia and nonobstructive coronary arteries. Journal of Nuclear Cardiology. 30(3). 1110–1117. 13 indexed citations
7.
Mannarino, Teresa, Adriana D’Antonio, Roberta Assante, et al.. (2022). Regional myocardial perfusion imaging in predicting vessel-related outcome: interplay between the perfusion results and angiographic findings. European Journal of Nuclear Medicine and Molecular Imaging. 50(1). 160–167. 5 indexed citations
8.
Megna, Rosario, Mario Petretta, Roberta Assante, et al.. (2021). A Comparison among Different Machine Learning Pretest Approaches to Predict Stress-Induced Ischemia at PET/CT Myocardial Perfusion Imaging. Computational and Mathematical Methods in Medicine. 2021. 1–9. 11 indexed citations
9.
Ugga, Lorenzo, Teresa Perillo, Renato Cuocolo, et al.. (2021). Meningioma MRI radiomics and machine learning: systematic review, quality score assessment, and meta-analysis. Neuroradiology. 63(8). 1293–1304. 62 indexed citations
10.
Assante, Roberta, Adriana D’Antonio, Teresa Mannarino, et al.. (2021). Impact of COVID-19 infection on short-term outcome in patients referred to stress myocardial perfusion imaging. European Journal of Nuclear Medicine and Molecular Imaging. 49(5). 1544–1552. 5 indexed citations
11.
Gaudieri, Valeria, Teresa Mannarino, Emilia Zampella, et al.. (2021). Prognostic value of coronary vascular dysfunction assessed by rubidium-82 PET/CT imaging in patients with resistant hypertension without overt coronary artery disease. European Journal of Nuclear Medicine and Molecular Imaging. 48(10). 3162–3171. 14 indexed citations
12.
Cuocolo, Renato, Andrea Ponsiglione, Serena Dell’Aversana, et al.. (2020). The cardiac conundrum: a systematic review and bibliometric analysis of authorship in cardiac magnetic resonance imaging studies. Insights into Imaging. 11(1). 42–42. 13 indexed citations
13.
Cuocolo, Renato, Arnaldo Stanzione, Valeria Romeo, et al.. (2020). Machine learning for the identification of clinically significant prostate cancer on MRI: a meta-analysis. European Radiology. 30(12). 6877–6887. 80 indexed citations
14.
Cantoni, Valeria, Roberta Green, Carlo Ricciardi, et al.. (2020). A machine learning-based approach to directly compare the diagnostic accuracy of myocardial perfusion imaging by conventional and cadmium-zinc telluride SPECT. Journal of Nuclear Cardiology. 29(1). 46–55. 15 indexed citations
15.
Nappi, Carmela, Rosario Megna, Wanda Acampa, et al.. (2020). Effects of the COVID-19 pandemic on myocardial perfusion imaging for ischemic heart disease. European Journal of Nuclear Medicine and Molecular Imaging. 48(2). 421–427. 19 indexed citations
16.
Musella, Mario, Giovanna Berardi, Roberta Green, et al.. (2019). Esophagogastric Neoplasms Following Bariatric Surgery: an Updated Systematic Review. Obesity Surgery. 29(8). 2660–2669. 37 indexed citations
17.
Green, Roberta, Valeria Cantoni, Wanda Acampa, et al.. (2019). Prognostic value of coronary flow reserve in patients with suspected or known coronary artery disease referred to PET myocardial perfusion imaging: A meta-analysis. Journal of Nuclear Cardiology. 28(3). 904–918. 27 indexed citations
18.
Cantoni, Valeria, Roberta Green, Wanda Acampa, et al.. (2019). Diagnostic performance of myocardial perfusion imaging with conventional and CZT single-photon emission computed tomography in detecting coronary artery disease: A meta-analysis. Journal of Nuclear Cardiology. 28(2). 698–715. 28 indexed citations
19.
Musella, Mario, Valeria Cantoni, Roberta Green, et al.. (2018). Efficacy of Postoperative Upper Gastrointestinal Series (UGI) and Computed Tomography (CT) Scan in Bariatric Surgery: a Meta-analysis on 7516 Patients. Obesity Surgery. 28(8). 2396–2405. 16 indexed citations
20.
Green, Roberta, Valeria Cantoni, Mario Petretta, et al.. (2017). Negative predictive value of stress myocardial perfusion imaging and coronary computed tomography angiography: A meta-analysis. Journal of Nuclear Cardiology. 25(5). 1588–1597. 20 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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