Deborah Fratantonio

31 total papers · 1.4k total citations
24 papers, 969 citations indexed

About

Deborah Fratantonio is a scholar working on Molecular Biology, Cancer Research and Biochemistry. According to data from OpenAlex, Deborah Fratantonio has authored 24 papers receiving a total of 969 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 9 papers in Cancer Research and 5 papers in Biochemistry. Recurrent topics in Deborah Fratantonio's work include Genomics, phytochemicals, and oxidative stress (5 papers), MicroRNA in disease regulation (5 papers) and Extracellular vesicles in disease (5 papers). Deborah Fratantonio is often cited by papers focused on Genomics, phytochemicals, and oxidative stress (5 papers), MicroRNA in disease regulation (5 papers) and Extracellular vesicles in disease (5 papers). Deborah Fratantonio collaborates with scholars based in Italy, United States and Belgium. Deborah Fratantonio's co-authors include Antonio Speciale, Francesco Cimino, Antonella Saija, Daniela Ferrari, Fabio Virgili, Maria Sofia Molonia, Mariateresa Cristani, Valentina Doria, F. Bordi and Francesco Mura and has published in prestigious journals such as Free Radical Biology and Medicine, International Journal of Molecular Sciences and Archives of Biochemistry and Biophysics.

In The Last Decade

Deborah Fratantonio

24 papers receiving 962 citations

Author Peers

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

Author Last Decade Papers Cites
Deborah Fratantonio 490 219 183 100 95 24 969
Andreina Poggi 444 0.9× 157 0.7× 147 0.8× 85 0.8× 108 1.1× 32 1.2k
Ilaria Tresoldi 446 0.9× 201 0.9× 76 0.4× 113 1.1× 84 0.9× 25 1.1k
Hina Kausar 618 1.3× 230 1.1× 179 1.0× 135 1.4× 81 0.9× 44 1.2k
Martin Jozef Péč 456 0.9× 143 0.7× 185 1.0× 119 1.2× 55 0.6× 61 1.0k
Jung‐Lye Kim 501 1.0× 139 0.6× 105 0.6× 98 1.0× 110 1.2× 35 1.0k
Seung Ho Shin 481 1.0× 127 0.6× 146 0.8× 69 0.7× 45 0.5× 30 916
Jong‐Eun Kim 455 0.9× 236 1.1× 102 0.6× 136 1.4× 74 0.8× 51 1.1k
Xiao Mou 400 0.8× 189 0.9× 134 0.7× 99 1.0× 103 1.1× 29 849
Nicolas Clere 480 1.0× 139 0.6× 148 0.8× 90 0.9× 113 1.2× 50 1.1k
Antonio J. León‐González 556 1.1× 251 1.1× 126 0.7× 204 2.0× 69 0.7× 38 1.2k

Countries citing papers authored by Deborah Fratantonio

Since Specialization
Citations

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

Fields of papers citing papers by Deborah Fratantonio

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Deborah Fratantonio

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