Antonina Benfante

44 total papers · 1.4k total citations
12 papers, 1.0k citations indexed

About

Antonina Benfante is a scholar working on Oncology, Molecular Biology and Cancer Research. According to data from OpenAlex, Antonina Benfante has authored 12 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Oncology, 5 papers in Molecular Biology and 4 papers in Cancer Research. Recurrent topics in Antonina Benfante's work include Cancer Cells and Metastasis (7 papers), Cancer Genomics and Diagnostics (3 papers) and Digestive system and related health (2 papers). Antonina Benfante is often cited by papers focused on Cancer Cells and Metastasis (7 papers), Cancer Genomics and Diagnostics (3 papers) and Digestive system and related health (2 papers). Antonina Benfante collaborates with scholars based in Italy, Netherlands and Saudi Arabia. Antonina Benfante's co-authors include Giorgio Stassi, Matilde Todaro, Tiziana Apuzzo, Francesco Dieli, Veronica Catalano, Miriam Gaggianesi, Isabella Sperduti, Silvia Volpe, Flora Iovino and Ruggero De Maria and has published in prestigious journals such as Journal of Clinical Oncology, PLoS ONE and Cancer Research.

In The Last Decade

Antonina Benfante

12 papers receiving 1.0k citations

Hit Papers

CD44v6 Is a Marker of Con... 2014 2026 2018 2022 2014 100 200 300 400 500

Author Peers

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

Author Last Decade Papers Cites
Antonina Benfante 560 493 313 150 94 12 1.0k
Vanesa Santos 797 1.4× 307 0.6× 225 0.7× 131 0.9× 173 1.8× 18 1.0k
A Frankel 716 1.3× 341 0.7× 122 0.4× 175 1.2× 173 1.8× 13 1.1k
Toshifumi Yae 679 1.2× 338 0.7× 328 1.0× 172 1.1× 68 0.7× 17 1.0k
Tuyen T. Dang 564 1.0× 263 0.5× 366 1.2× 140 0.9× 68 0.7× 16 856
Kanji Hojo 560 1.0× 242 0.5× 261 0.8× 85 0.6× 91 1.0× 21 974
Jenny L. Pokorny 713 1.3× 404 0.8× 235 0.8× 94 0.6× 58 0.6× 21 1.2k
Victoria da Silva-Diz 689 1.2× 611 1.2× 345 1.1× 87 0.6× 102 1.1× 16 1.1k
Nathalie Cahuzac 604 1.1× 467 0.9× 195 0.6× 188 1.3× 108 1.1× 10 952
Hong-Ji Xu 568 1.0× 402 0.8× 159 0.5× 60 0.4× 89 0.9× 19 965
Silvia Volpe 724 1.3× 548 1.1× 367 1.2× 163 1.1× 124 1.3× 11 1.2k

Countries citing papers authored by Antonina Benfante

Since Specialization
Citations

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

Fields of papers citing papers by Antonina Benfante

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Antonina Benfante

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