Roberto Lo Gullo

1.9k total citations
58 papers, 1.2k citations indexed

About

Roberto Lo Gullo is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Surgery. According to data from OpenAlex, Roberto Lo Gullo has authored 58 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Radiology, Nuclear Medicine and Imaging, 17 papers in Pulmonary and Respiratory Medicine and 12 papers in Surgery. Recurrent topics in Roberto Lo Gullo's work include Radiomics and Machine Learning in Medical Imaging (24 papers), MRI in cancer diagnosis (21 papers) and AI in cancer detection (9 papers). Roberto Lo Gullo is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (24 papers), MRI in cancer diagnosis (21 papers) and AI in cancer detection (9 papers). Roberto Lo Gullo collaborates with scholars based in United States, Italy and Austria. Roberto Lo Gullo's co-authors include Katja Pinker, Isaac Daimiel Naranjo, Elizabeth A. Morris, Mannudeep K. Kalra, Subba R. Digumarthy, Sunitha B. Thakur, Carolina Rossi Saccarelli, Almir Galvão Vieira Bitencourt, Maxine S. Jochelson and Alexi Otrakji and has published in prestigious journals such as Gastroenterology, Radiology and American Journal of Roentgenology.

In The Last Decade

Roberto Lo Gullo

55 papers receiving 1.1k citations

Peers

Roberto Lo Gullo
Lianzhen Zhong China
Yahong Luo China
Zhouyang Lian China
Shufang Pei China
Michela Gabelloni Italy
Sonia Skamene Canada
Fusheng Ouyang China
Carolin Knebel Germany
Maxime Barat France
Te‐Chun Hsieh Taiwan
Lianzhen Zhong China
Roberto Lo Gullo
Citations per year, relative to Roberto Lo Gullo Roberto Lo Gullo (= 1×) peers Lianzhen Zhong

Countries citing papers authored by Roberto Lo Gullo

Since Specialization
Citations

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

Fields of papers citing papers by Roberto Lo Gullo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Roberto Lo Gullo. 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 Roberto Lo Gullo. The network helps show where Roberto Lo Gullo may publish in the future.

Co-authorship network of co-authors of Roberto Lo Gullo

This figure shows the co-authorship network connecting the top 25 collaborators of Roberto Lo Gullo. A scholar is included among the top collaborators of Roberto Lo Gullo 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 Roberto Lo Gullo. Roberto Lo Gullo 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.
Eskreis‐Winkler, Sarah, Arka Bhowmik, Lindsey Kelly, et al.. (2025). Adaptive Breast MRI Scanning Using AI. Radiology. 315(3). e242924–e242924.
2.
Huang, Yu, Roberto Lo Gullo, Mary Hughes, et al.. (2024). Cross-site Validation of AI Segmentation and Harmonization in Breast MRI. Journal of Imaging Informatics in Medicine. 38(3). 1642–1652.
3.
Gullo, Roberto Lo, Lynn Han, Sarah Eskreis‐Winkler, et al.. (2024). AI Applications to Breast MRI: Today and Tomorrow. Journal of Magnetic Resonance Imaging. 60(6). 2290–2308. 6 indexed citations
4.
Naranjo, Isaac Daimiel, Arka Bhowmik, Roberto Lo Gullo, et al.. (2024). Assessment of Hypoxia in Breast Cancer: Emerging Functional MR Imaging and Spectroscopy Techniques and Clinical Applications. Journal of Magnetic Resonance Imaging. 61(1). 83–96. 1 indexed citations
5.
Cozzi, Andrea, Katja Pinker, Tianyu Zhang, et al.. (2024). BI-RADS Category Assignments by GPT-3.5, GPT-4, and Google Bard: A Multilanguage Study. Radiology. 311(1). e232133–e232133. 47 indexed citations
6.
Gullo, Roberto Lo, et al.. (2024). AI-enhanced Mammography With Digital Breast Tomosynthesis for Breast Cancer Detection: Clinical Value and Comparison With Human Performance. Radiology Imaging Cancer. 6(4). e230149–e230149. 7 indexed citations
7.
Bitencourt, Almir Galvão Vieira, Arka Bhowmik, Roberto Lo Gullo, et al.. (2023). Deuterium MR spectroscopy: potential applications in oncology research. BJR|Open. 6(1). 2 indexed citations
8.
Naranjo, Isaac Daimiel, Peter Gibbs, Roberto Lo Gullo, et al.. (2022). Breast Lesion Classification with Multiparametric Breast MRI Using Radiomics and Machine Learning: A Comparison with Radiologists’ Performance. Cancers. 14(7). 1743–1743. 23 indexed citations
9.
10.
Marino, Maria Adele, Daly Avendaño, Varadan Sevilimedu, et al.. (2022). Limited value of multiparametric MRI with dynamic contrast-enhanced and diffusion-weighted imaging in non-mass enhancing breast tumors. European Journal of Radiology. 156. 110523–110523. 9 indexed citations
11.
Naranjo, Isaac Daimiel, Peter Gibbs, Roberto Lo Gullo, et al.. (2021). Radiomics and Machine Learning with Multiparametric Breast MRI for Improved Diagnostic Accuracy in Breast Cancer Diagnosis. Diagnostics. 11(6). 919–919. 41 indexed citations
12.
Bitencourt, Almir Galvão Vieira, Isaac Daimiel Naranjo, Roberto Lo Gullo, Carolina Rossi Saccarelli, & Katja Pinker. (2021). AI-enhanced breast imaging: Where are we and where are we heading?. European Journal of Radiology. 142. 109882–109882. 49 indexed citations
13.
14.
Corso, Giovanni, Francesca Magnoni, Elena Provenzano, et al.. (2020). Multicentric breast cancer with heterogeneous histopathology: a multidisciplinary review. Future Oncology. 16(8). 395–412. 9 indexed citations
15.
Gullo, Roberto Lo, Isaac Daimiel Naranjo, Carolina Rossi Saccarelli, et al.. (2020). Improved characterization of sub-centimeter enhancing breast masses on MRI with radiomics and machine learning in BRCA mutation carriers. European Radiology. 30(12). 6721–6731. 28 indexed citations
16.
Gullo, Roberto Lo, Isaac Daimiel Naranjo, Elizabeth A. Morris, & Katja Pinker. (2020). Combining molecular and imaging metrics in cancer: radiogenomics. Insights into Imaging. 11(1). 1–1. 123 indexed citations
17.
Gullo, Roberto Lo, et al.. (2018). Cause determination of missed lung nodules and impact of reader training and education: Simulation study with nodule insertion software. Journal of Cancer Research and Therapeutics. 16(4). 780–780. 5 indexed citations
18.
Scerrino, Grégorio, Giuseppina Melfa, Roberto Lo Gullo, et al.. (2017). The prevalence of post-thyroidectomy chronic asthenia: a prospective cohort study. Langenbeck s Archives of Surgery. 402(7). 1095–1102. 14 indexed citations
19.
Gullo, Roberto Lo, et al.. (2015). A functional study of the esophagus in patients with non-cardiac chest pain and dysphagia. The Turkish Journal of Gastroenterology. 26(2). 99–103. 6 indexed citations
20.
Fichera, Alessandro, Marco Zoccali, & Roberto Lo Gullo. (2011). Single Incision (“Scarless”) Laparoscopic Total Abdominal Colectomy with End Ileostomy for Ulcerative Colitis. Journal of Gastrointestinal Surgery. 15(7). 1247–1251. 27 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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