Letizia Deantonio

104 total papers · 1.2k total citations
53 papers, 725 citations indexed

About

Letizia Deantonio is a scholar working on Radiology, Nuclear Medicine and Imaging, Surgery and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Letizia Deantonio has authored 53 papers receiving a total of 725 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Radiology, Nuclear Medicine and Imaging, 20 papers in Surgery and 14 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Letizia Deantonio's work include Medical Imaging Techniques and Applications (10 papers), Advanced Radiotherapy Techniques (9 papers) and Radiomics and Machine Learning in Medical Imaging (8 papers). Letizia Deantonio is often cited by papers focused on Medical Imaging Techniques and Applications (10 papers), Advanced Radiotherapy Techniques (9 papers) and Radiomics and Machine Learning in Medical Imaging (8 papers). Letizia Deantonio collaborates with scholars based in Italy, Switzerland and Spain. Letizia Deantonio's co-authors include Marco Krengli, Marco Brambilla, Giuseppina Gambaro, Laura Masini, Debora Beldì, Carla Pisani, Eugenio Inglese, G. Loi, Lucia Turri and G. Sacchetti and has published in prestigious journals such as PLoS ONE, International Journal of Radiation Oncology*Biology*Physics and Annals of Oncology.

In The Last Decade

Letizia Deantonio

50 papers receiving 720 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Letizia Deantonio	254	235	209	164	149	53	725
Sung Jun	373 1.5×	110 0.5×	125 0.6×	304 1.9×	128 0.9×	83	777
Leah Drost	139 0.5×	146 0.6×	188 0.9×	292 1.8×	104 0.7×	45	701
H.D. Böttcher	376 1.5×	298 1.3×	254 1.2×	209 1.3×	161 1.1×	48	799
William T. Moss	254 1.0×	328 1.4×	142 0.7×	213 1.3×	79 0.5×	44	758
Cristiane Takita	148 0.6×	135 0.6×	373 1.8×	257 1.6×	183 1.2×	58	870
Kandice Mah	316 1.2×	220 0.9×	321 1.5×	47 0.3×	141 0.9×	31	861
Franz Zehentmayr	270 1.1×	129 0.5×	150 0.7×	145 0.9×	218 1.5×	45	910
R. Jennelle	156 0.6×	185 0.8×	121 0.6×	151 0.9×	116 0.8×	52	648
Jacqueline Kelly	173 0.7×	305 1.3×	169 0.8×	147 0.9×	45 0.3×	34	770
Shaelyn Culleton	243 1.0×	361 1.5×	92 0.4×	386 2.4×	108 0.7×	31	828

Countries citing papers authored by Letizia Deantonio

Since Specialization

Citations

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

Fields of papers citing papers by Letizia Deantonio

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Letizia Deantonio

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

All Works

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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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