Giuseppe Corrias

468 total citations
24 papers, 298 citations indexed

About

Giuseppe Corrias is a scholar working on Radiology, Nuclear Medicine and Imaging, Oncology and Epidemiology. According to data from OpenAlex, Giuseppe Corrias has authored 24 papers receiving a total of 298 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Radiology, Nuclear Medicine and Imaging, 7 papers in Oncology and 7 papers in Epidemiology. Recurrent topics in Giuseppe Corrias's work include Radiomics and Machine Learning in Medical Imaging (6 papers), Advanced X-ray and CT Imaging (6 papers) and Pancreatic and Hepatic Oncology Research (5 papers). Giuseppe Corrias is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (6 papers), Advanced X-ray and CT Imaging (6 papers) and Pancreatic and Hepatic Oncology Research (5 papers). Giuseppe Corrias collaborates with scholars based in Italy, United States and Brazil. Giuseppe Corrias's co-authors include Lorenzo Mannelli, Luca Saba, Serena Monti, Valérie Vilgrain, Maxime Ronot, Maggie Fung, Jules Grégory, Jasjit S. Suri, Luigi Barberini and Marco Dioguardi Burgio and has published in prestigious journals such as Gastroenterology, Medicine and Journal of Computer Assisted Tomography.

In The Last Decade

Giuseppe Corrias

24 papers receiving 297 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Giuseppe Corrias Italy 10 160 67 65 50 50 24 298
Xiaoming Zhou China 10 223 1.4× 71 1.1× 45 0.7× 34 0.7× 93 1.9× 24 323
Mohab M. Elmohr United States 9 161 1.0× 34 0.5× 47 0.7× 41 0.8× 108 2.2× 17 283
Zhaoxia Yang China 9 204 1.3× 67 1.0× 54 0.8× 25 0.5× 140 2.8× 19 329
Jung Hee Son South Korea 11 170 1.1× 112 1.7× 64 1.0× 53 1.1× 115 2.3× 26 353
Zhiyong Xu China 9 151 0.9× 37 0.6× 20 0.3× 29 0.6× 92 1.8× 36 296
Joshua Shur United Kingdom 7 258 1.6× 16 0.2× 81 1.2× 70 1.4× 31 0.6× 24 339
Junqiang Lei China 12 182 1.1× 33 0.5× 54 0.8× 30 0.6× 24 0.5× 40 392
Kerstin Zwirner Germany 11 165 1.0× 38 0.6× 117 1.8× 35 0.7× 13 0.3× 19 368
R Cardan United States 11 139 0.9× 23 0.3× 33 0.5× 58 1.2× 17 0.3× 42 360
Yiran Mao China 10 92 0.6× 46 0.7× 81 1.2× 29 0.6× 27 0.5× 18 263

Countries citing papers authored by Giuseppe Corrias

Since Specialization
Citations

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

Fields of papers citing papers by Giuseppe Corrias

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Giuseppe Corrias

This figure shows the co-authorship network connecting the top 25 collaborators of Giuseppe Corrias. A scholar is included among the top collaborators of Giuseppe Corrias 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 Giuseppe Corrias. Giuseppe Corrias 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.
Mulé, Sebastien, Maxime Ronot, Mario Ghosn, et al.. (2023). Automated CT LI-RADS v2018 scoring of liver observations using machine learning: A multivendor, multicentre retrospective study. JHEP Reports. 5(10). 100857–100857. 7 indexed citations
2.
Corrias, Giuseppe, et al.. (2021). Texture analysis imaging “what a clinical radiologist needs to know”. European Journal of Radiology. 146. 110055–110055. 38 indexed citations
3.
Mahmood, Usman, Robik Shrestha, ‬David D. B. Bates, et al.. (2021). Detecting Spurious Correlations With Sanity Tests for Artificial Intelligence Guided Radiology Systems. Frontiers in Digital Health. 3. 671015–671015. 10 indexed citations
4.
Saba, Luca, Roberto Sanfilippo, Jasjit S. Suri, et al.. (2021). Does Carotid Artery Tortuosity Play a Role in Stroke?. Canadian Association of Radiologists Journal. 72(4). 789–796. 6 indexed citations
5.
Corrias, Giuseppe, Claudia Sardu, Luca Saba, et al.. (2021). Comparison of Multimaterial Decomposition Fat Fraction with DECT and Proton Density Fat Fraction with IDEAL IQ MRI for Quantification of Liver Steatosis in a Population Exposed to Chemotherapy. Dose-Response. 19(2). 3584433770–3584433770. 9 indexed citations
6.
Mahmood, Usman, Aditya Apte, Christopher Kanan, et al.. (2021). Quality control of radiomic features using 3D-printed CT phantoms. Journal of Medical Imaging. 8(3). 33505–33505. 7 indexed citations
7.
Grégory, Jules, Marco Dioguardi Burgio, Giuseppe Corrias, Valérie Vilgrain, & Maxime Ronot. (2020). Evaluation of liver tumour response by imaging. JHEP Reports. 2(3). 100100–100100. 42 indexed citations
8.
Corrias, Giuseppe, Daniele Cocco, Jasjit S. Suri, et al.. (2020). Heart applications of 4D flow. Cardiovascular Diagnosis and Therapy. 10(4). 1140–1149. 10 indexed citations
9.
Laino, Maria Elena, Robert J. Young, Kathryn Beal, et al.. (2020). Magnetic resonance spectroscopic imaging in gliomas: clinical diagnosis and radiotherapy planning. BJR|Open. 2(1). 20190026–20190026. 25 indexed citations
10.
Corrias, Giuseppe, Peter Sawan, Usman Mahmood, et al.. (2019). Dual energy computed tomography analysis in cancer patients: What factors affect iodine concentration in contrast enhanced studies?. European Journal of Radiology. 120. 108698–108698. 7 indexed citations
11.
Eskreis‐Winkler, Sarah, Giuseppe Corrias, Serena Monti, et al.. (2018). IDEAL-IQ in an oncologic population: meeting the challenge of concomitant liver fat and liver iron. Cancer Imaging. 18(1). 51–51. 38 indexed citations
12.
Corrias, Giuseppe, Simone Krebs, Sarah Eskreis‐Winkler, et al.. (2018). MRI liver fat quantification in an oncologic population: the added value of complex chemical shift-encoded MRI. Clinical Imaging. 52. 193–199. 13 indexed citations
13.
Corrias, Giuseppe, Serena Monti, Natally Horvat, et al.. (2018). Imaging features of malignant abdominal neuroendocrine tumors with rare presentation. Clinical Imaging. 51. 59–64. 8 indexed citations
14.
Corrias, Giuseppe, Gary A. Ulaner, Mark Dunphy, et al.. (2018). Detection of recurrent pancreatic cancer: value of second-opinion interpretations of cross-sectional images by subspecialized radiologists. Abdominal Radiology. 44(2). 586–592. 11 indexed citations
15.
Corrias, Giuseppe, Ryan P. Merkow, Vinod P. Balachandran, et al.. (2018). Does Second Reader Opinion Affect Patient Management in Pancreatic Ductal Adenocarcinoma?. Academic Radiology. 25(7). 825–832. 14 indexed citations
16.
Agostini, Andrea, Yusuf E. Erdi, Alessandra Borgheresi, et al.. (2018). Quantification of Iodine Concentration Using Single-Source Dual-Energy Computed Tomography in a Calf Liver. Journal of Computer Assisted Tomography. 42(2). 222–229. 5 indexed citations
17.
18.
Corrias, Giuseppe, Natally Horvat, Serena Monti, et al.. (2017). Malignant transformation of glucagonoma with SPECT/CT In-111 OctreoScan features. Medicine. 96(50). e9252–e9252. 1 indexed citations
19.
Corrias, Giuseppe, Serena Monti, & Lorenzo Mannelli. (2017). Right Upper Quadrant Pain in a 47-Year-Old Woman. Gastroenterology. 154(6). e11–e12. 1 indexed citations
20.
Corrias, Giuseppe, Monica Ragucci, Olca Baştürk, Luca Saba, & Lorenzo Mannelli. (2017). Pancreatoblastoma With Metastatic Retroperitoneal Lymph Node and PET/CT. Clinical Nuclear Medicine. 42(11). e482–e483. 8 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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