Giuseppe V. Toia

492 total citations
30 papers, 275 citations indexed

About

Giuseppe V. Toia is a scholar working on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering and Molecular Biology. According to data from OpenAlex, Giuseppe V. Toia has authored 30 papers receiving a total of 275 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Radiology, Nuclear Medicine and Imaging, 19 papers in Biomedical Engineering and 4 papers in Molecular Biology. Recurrent topics in Giuseppe V. Toia's work include Radiation Dose and Imaging (19 papers), Advanced X-ray and CT Imaging (19 papers) and Medical Imaging Techniques and Applications (12 papers). Giuseppe V. Toia is often cited by papers focused on Radiation Dose and Imaging (19 papers), Advanced X-ray and CT Imaging (19 papers) and Medical Imaging Techniques and Applications (12 papers). Giuseppe V. Toia collaborates with scholars based in United States, Spain and Malaysia. Giuseppe V. Toia's co-authors include Timothy P. Szczykutowicz, Brian Nett, Amar Dhanantwari, Achille Mileto, Daniel S. Hippe, Carolyn L. Wang, Dushyant V. Sahani, Sherry S. Wang, Theodore J. Dubinsky and Todd N. Erpelding and has published in prestigious journals such as Radiology, Experimental Neurology and American Journal of Roentgenology.

In The Last Decade

Giuseppe V. Toia

24 papers receiving 272 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 V. Toia United States 11 178 164 30 21 21 30 275
Kumiko Hiraishi Japan 5 210 1.2× 119 0.7× 82 2.7× 82 3.9× 26 1.2× 13 351
Taku Omori Japan 10 225 1.3× 59 0.4× 23 0.8× 70 3.3× 20 1.0× 22 392
U. J. Schöpf Germany 6 177 1.0× 111 0.7× 51 1.7× 51 2.4× 25 1.2× 13 250
S. Miller Germany 8 163 0.9× 81 0.5× 34 1.1× 55 2.6× 10 0.5× 22 221
Bailing Hsu United States 9 256 1.4× 78 0.5× 32 1.1× 37 1.8× 8 0.4× 28 316
Michael Curley United States 11 68 0.4× 54 0.3× 21 0.7× 58 2.8× 13 0.6× 30 329
Mitsuru Takami Japan 13 61 0.3× 30 0.2× 39 1.3× 36 1.7× 28 1.3× 67 517
Junghoan Park South Korea 8 159 0.9× 84 0.5× 45 1.5× 41 2.0× 82 3.9× 26 312
Brijesh Anantharam United Kingdom 8 82 0.5× 64 0.4× 14 0.5× 32 1.5× 6 0.3× 12 173
Carmelo De Gori Italy 10 105 0.6× 101 0.6× 51 1.7× 43 2.0× 35 1.7× 23 287

Countries citing papers authored by Giuseppe V. Toia

Since Specialization
Citations

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

Fields of papers citing papers by Giuseppe V. Toia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Giuseppe V. Toia

This figure shows the co-authorship network connecting the top 25 collaborators of Giuseppe V. Toia. A scholar is included among the top collaborators of Giuseppe V. Toia 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 V. Toia. Giuseppe V. Toia 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.
Lee, Matthew H., et al.. (2025). Acute Mesenteric Ischemia: Pathophysiology-based Approach to Imaging Findings and Diagnosis. Radiographics. 45(10). e250012–e250012.
2.
Lubner, Meghan G., Perry J. Pickhardt, Giuseppe V. Toia, & Timothy P. Szczykutowicz. (2025). Clinical consequences of deep learning image reconstruction at CT. British Journal of Radiology. 98(1175). 1843–1846.
3.
4.
Pickhardt, Perry J., Meghan G. Lubner, Giuseppe V. Toia, et al.. (2025). Effect of Patient Positioning on CT Number Accuracy: A Phantom Study Comparing Energy Integrating and Deep Silicon Photon Counting Detector CT. Journal of Computer Assisted Tomography. 49(2). 297–307. 2 indexed citations
5.
Lubner, Meghan G., et al.. (2025). Accuracy and consistency of effective atomic number over object size using deep silicon photon-counting detector CT. Physica Medica. 131. 104945–104945. 3 indexed citations
6.
Das, Arighno, Glenn O. Allen, Soroush Rais‐Bahrami, et al.. (2025). Prostate zonal impact of 5α‐reductase inhibitors on multiparametric MRI characteristics and detection of prostate cancer. British Journal of Urology. 137(2). 332–338.
7.
Szczykutowicz, Timothy P., et al.. (2025). Artificial Intelligence in Computed Tomography Image Reconstruction: A Review of Recent Advances. Journal of Computer Assisted Tomography. 49(4). 521–530. 1 indexed citations
8.
Toia, Giuseppe V. & Lakshmi Ananthakrishnan. (2024). The Environmental Impact of Iodinated Contrast Media: Strategies for Optimized Use and Recycling. Journal of Computer Assisted Tomography. 49(2). 203–214.
9.
Leng, Shuai, Giuseppe V. Toia, Juan Carlos Ramírez-Giraldo, et al.. (2024). Standardizing technical parameters and terms for abdominopelvic photon-counting CT: laying the groundwork for innovation and evidence sharing. Abdominal Radiology. 49(9). 3261–3273. 2 indexed citations
10.
Toia, Giuseppe V., Achille Mileto, Amir A. Borhani, et al.. (2024). Approaches, advantages, and challenges to photon counting detector and multi-energy CT. Abdominal Radiology. 49(9). 3251–3260. 9 indexed citations
11.
Toia, Giuseppe V., et al.. (2024). Comparing fully automated AI body composition biomarkers at differing virtual monoenergetic levels using dual-energy CT. Abdominal Radiology. 50(6). 2758–2769. 2 indexed citations
12.
Shen, Luyao, Justin R. Tse, Meghan G. Lubner, et al.. (2023). Diagnostic performance of the “drooping” sign in CT diagnosis of exophytic renal angiomyolipoma. Abdominal Radiology. 48(6). 2091–2101. 1 indexed citations
13.
Hinshaw, J. Louis, et al.. (2023). Artificial Intelligence–Aided Selection of Needle Pathways: Proof-of-Concept in Percutaneous Lung Biopsies. Journal of Vascular and Interventional Radiology. 35(5). 770–779.e1. 2 indexed citations
14.
Ziemlewicz, Timothy J., Giuseppe V. Toia, J. Louis Hinshaw, et al.. (2023). CT Navigation for Percutaneous Needle Placement: How I Do It. Techniques in vascular and interventional radiology. 26(3). 100911–100911. 3 indexed citations
15.
16.
Toia, Giuseppe V., Achille Mileto, Carolyn L. Wang, & Dushyant V. Sahani. (2021). Quantitative dual-energy CT techniques in the abdomen. Abdominal Radiology. 47(9). 3003–3018. 28 indexed citations
17.
Dubinsky, Theodore J., Jonathan Revels, Sherry S. Wang, et al.. (2018). Comparison of Superb Microvascular Imaging With Color Flow and Power Doppler Imaging of Small Hepatocellular Carcinomas. Journal of Ultrasound in Medicine. 37(12). 2915–2924. 44 indexed citations
18.
Toia, Giuseppe V., Sooah Kim, Manjiri Dighe, & Achille Mileto. (2018). Dual-Energy Computed Tomography in Body Imaging. Seminars in Roentgenology. 53(2). 132–146. 12 indexed citations
19.
Ibrahim, Tarek F., et al.. (2015). Microsurgical Pontine Descending Tractotomy in Cases of Intractable Trigeminal Neuralgia. Operative Neurosurgery. 11(4). 518–529. 13 indexed citations
20.
Toia, Giuseppe V., et al.. (2011). An angiogenic inhibitor, cyclic RGDfV, attenuates MPTP-induced dopamine neuron toxicity. Experimental Neurology. 231(1). 160–170. 14 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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