Gabriella Baio

506 total citations
18 papers, 361 citations indexed

About

Gabriella Baio is a scholar working on Radiology, Nuclear Medicine and Imaging, Oncology and Surgery. According to data from OpenAlex, Gabriella Baio has authored 18 papers receiving a total of 361 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Radiology, Nuclear Medicine and Imaging, 6 papers in Oncology and 4 papers in Surgery. Recurrent topics in Gabriella Baio's work include Advanced MRI Techniques and Applications (4 papers), Radiopharmaceutical Chemistry and Applications (2 papers) and Peripheral Nerve Disorders (2 papers). Gabriella Baio is often cited by papers focused on Advanced MRI Techniques and Applications (4 papers), Radiopharmaceutical Chemistry and Applications (2 papers) and Peripheral Nerve Disorders (2 papers). Gabriella Baio collaborates with scholars based in Italy, United Kingdom and Netherlands. Gabriella Baio's co-authors include Carlo Emanuele Neumaier, Antonio Daga, Alberto Tagliafico, Massimo Calabrese, Carlo Martinoli, Silvano Ferrini, Daniele Pace, Matteo Puntoni, Michele Cilli and Elisa Carra and has published in prestigious journals such as PLoS ONE, Clinical Cancer Research and International Journal of Cancer.

In The Last Decade

Gabriella Baio

17 papers receiving 354 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Gabriella Baio Italy 9 132 119 62 61 58 18 361
Joost Haeck Netherlands 11 75 0.6× 172 1.4× 107 1.7× 50 0.8× 58 1.0× 28 388
Ruimeng Yang China 15 59 0.4× 117 1.0× 40 0.6× 80 1.3× 88 1.5× 28 457
A. Wunder Germany 9 120 0.9× 115 1.0× 56 0.9× 79 1.3× 96 1.7× 23 380
Kohei Nakajima Japan 14 111 0.8× 94 0.8× 87 1.4× 26 0.4× 145 2.5× 55 569
Jessica Donig United States 6 112 0.8× 135 1.1× 21 0.3× 73 1.2× 98 1.7× 7 408
Jun-ichiro Kuroda Japan 13 136 1.0× 44 0.4× 133 2.1× 150 2.5× 93 1.6× 25 497
Griffith R. Harsh United States 6 141 1.1× 71 0.6× 39 0.6× 112 1.8× 90 1.6× 6 424
Ryuta Sato Japan 11 149 1.1× 81 0.7× 82 1.3× 107 1.8× 55 0.9× 25 385
Joseph Shan United States 10 104 0.8× 103 0.9× 83 1.3× 47 0.8× 37 0.6× 24 401
J. Devin Roberts United States 7 256 1.9× 60 0.5× 48 0.8× 20 0.3× 55 0.9× 15 540

Countries citing papers authored by Gabriella Baio

Since Specialization
Citations

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

Fields of papers citing papers by Gabriella Baio

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gabriella Baio

This figure shows the co-authorship network connecting the top 25 collaborators of Gabriella Baio. A scholar is included among the top collaborators of Gabriella Baio 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 Gabriella Baio. Gabriella Baio is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

18 of 18 papers shown
1.
2.
Dutta, Amit Kumar, et al.. (2021). Clinically significant findings in patients with focal incidental colorectal abnormalities on positron emission tomography‐CT scans. Journal of Medical Imaging and Radiation Oncology. 66(6). 749–754. 1 indexed citations
3.
Willis, David, et al.. (2021). A novel method for measuring bowel motility and velocity with dynamic magnetic resonance imaging in two and three dimensions. NMR in Biomedicine. 35(5). e4663–e4663. 2 indexed citations
4.
Baio, Gabriella, Marina Fabbi, Michele Cilli, et al.. (2020). Manganese-enhanced MRI (MEMRI) in breast and prostate cancers: Preliminary results exploring the potential role of calcium receptors. PLoS ONE. 15(9). e0224414–e0224414. 4 indexed citations
5.
Baio, Gabriella, Francesca Rosa, Daniele Pace, et al.. (2015). Correlation between Choline Peak at MR Spectroscopy and Calcium-Sensing Receptor Expression Level in Breast Cancer: A Preliminary Clinical Study. Molecular Imaging and Biology. 17(4). 548–556. 10 indexed citations
6.
Gianolio, Eliana, Francesca Arena, Enza Di Gregorio, et al.. (2015). MEMRI and tumors: a method for the evaluation of the contribution of Mn(II) ions in the extracellular compartment. NMR in Biomedicine. 28(9). 1104–1110. 7 indexed citations
7.
Daga, Antonio, Elisa Carra, Daniela Marubbi, et al.. (2014). Pharmacokinetics, pharmacodynamics and efficacy on pediatric tumors of the glioma radiosensitizer KU 60019. International Journal of Cancer. 136(6). 1445–1457. 44 indexed citations
8.
Daga, Antonio, Elisa Carra, Daniela Marubbi, et al.. (2013). Predictability, efficacy and safety of radiosensitization of glioblastoma-initiating cells by the ATM inhibitor KU-60019. International Journal of Cancer. 135(2). 479–491. 51 indexed citations
9.
10.
Tagliafico, Alberto, Giulia Succio, Gabriella Baio, et al.. (2012). Brachial plexus assessment with three-dimensional isotropic resolution fast spin echo MRI: comparison with conventional MRI at 3.0 T. British Journal of Radiology. 85(1014). e110–e116. 25 indexed citations
11.
Tagliafico, Alberto, Massimo Calabrese, Matteo Puntoni, et al.. (2011). Brachial plexus MR imaging: accuracy and reproducibility of DTI-derived measurements and fibre tractography at 3.0-T. European Radiology. 21(8). 1764–1771. 61 indexed citations
12.
Baio, Gabriella, Marina Fabbi, Laura Emionite, et al.. (2011). In vivo imaging of human breast cancer mouse model with high level expression of calcium sensing receptor at 3T. European Radiology. 22(3). 551–558. 8 indexed citations
13.
Baio, Gabriella, Marina Fabbi, Sandra Salvi, et al.. (2009). Two-Step In Vivo Tumor Targeting by Biotin-Conjugated Antibodies and Superparamagnetic Nanoparticles Assessed by Magnetic Resonance Imaging at 1.5 T. Molecular Imaging and Biology. 12(3). 305–315. 15 indexed citations
14.
Russo, Patrizia, et al.. (2009). Use of the Semiconductor Nanotechnologies “Quantum Dots” for in vivo Cancer Imaging. Recent Patents on Anti-Cancer Drug Discovery. 4(3). 207–215. 8 indexed citations
15.
Pastorino, Fabio, Daniela Di Paolo, Federica Piccardi, et al.. (2008). Enhanced Antitumor Efficacy of Clinical-Grade Vasculature-Targeted Liposomal Doxorubicin. Clinical Cancer Research. 14(22). 7320–7329. 74 indexed citations
16.
Neumaier, Carlo Emanuele, Gabriella Baio, Silvano Ferrini, Giorgio Corte, & Antonio Daga. (2008). MR and Iron Magnetic Nanoparticles. Imaging Opportunities in Preclinical and Translational Research. Tumori Journal. 94(2). 226–233. 29 indexed citations
17.
Baio, Gabriella, Marina Fabbi, Daniela de Totero, et al.. (2006). Magnetic resonance imaging at 1.5 T with immunospecific contrast agent in vitro and in vivo in a xenotransplant model. Magnetic Resonance Materials in Physics Biology and Medicine. 19(6). 313–320. 13 indexed citations
18.
Jankovic, Momcilo, et al.. (1987). Cardiotoxicity in children treated with anthracyclines: the role of M-mode echocardiography.. PubMed. 72(4). 347–50. 6 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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