Fabiola Giudici

233 total papers · 3.7k total citations
109 papers, 1.9k citations indexed

About

Fabiola Giudici is a scholar working on Oncology, Surgery and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Fabiola Giudici has authored 109 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Oncology, 29 papers in Surgery and 28 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Fabiola Giudici's work include Head and Neck Cancer Studies (12 papers), Breast Cancer Treatment Studies (12 papers) and Global Cancer Incidence and Screening (9 papers). Fabiola Giudici is often cited by papers focused on Head and Neck Cancer Studies (12 papers), Breast Cancer Treatment Studies (12 papers) and Global Cancer Incidence and Screening (9 papers). Fabiola Giudici collaborates with scholars based in Italy, France and United States. Fabiola Giudici's co-authors include Maria Pachetti, Francesca Benedetti, C. Masciovecchio, Massimo Ciccozzi, Bruna Marini, Rudy Ippodrino, Davide Zella, Silvia Angeletti, Paola Storici and Robert C. Gallo and has published in prestigious journals such as PLoS ONE, The Journal of Clinical Endocrinology & Metabolism and JNCI Journal of the National Cancer Institute.

In The Last Decade

Fabiola Giudici

97 papers receiving 1.9k citations

Hit Papers

Emerging SARS-CoV-2 mutat... 2020 2026 2022 2024 2020 200 400 600

Author Peers

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

Author Last Decade Papers Cites
Fabiola Giudici 613 409 347 341 326 109 1.9k
Francesco Gianfagna 532 0.9× 465 1.1× 212 0.6× 222 0.7× 318 1.0× 86 2.3k
Lianghong Yin 713 1.2× 713 1.7× 188 0.5× 211 0.6× 204 0.6× 102 2.4k
Wei Liu 451 0.7× 350 0.9× 333 1.0× 138 0.4× 313 1.0× 105 1.9k
Angela J. Fought 244 0.4× 290 0.7× 339 1.0× 421 1.2× 269 0.8× 105 2.5k
Lei Zhao 861 1.4× 383 0.9× 185 0.5× 167 0.5× 254 0.8× 107 2.3k
Jing Xu 579 0.9× 461 1.1× 211 0.6× 215 0.6× 207 0.6× 130 2.7k
Xiaohui Sun 472 0.8× 590 1.4× 236 0.7× 215 0.6× 116 0.4× 79 1.7k
Ling Zhou 1.0k 1.7× 437 1.1× 402 1.2× 487 1.4× 220 0.7× 59 2.3k
Xueqin Chen 242 0.4× 459 1.1× 299 0.9× 424 1.2× 181 0.6× 156 1.8k
Masahiro Yoshida 1.1k 1.8× 426 1.0× 195 0.6× 459 1.3× 249 0.8× 92 2.7k

Countries citing papers authored by Fabiola Giudici

Since Specialization
Citations

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

Fields of papers citing papers by Fabiola Giudici

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fabiola Giudici

This figure shows the co-authorship network connecting the top 25 collaborators of Fabiola Giudici. A scholar is included among the top collaborators of Fabiola Giudici 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 Fabiola Giudici. Fabiola Giudici 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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