Fabio Marcheggiani

71 total papers · 1.5k total citations
53 papers, 1.1k citations indexed

About

Fabio Marcheggiani is a scholar working on Molecular Biology, Physiology and Nutrition and Dietetics. According to data from OpenAlex, Fabio Marcheggiani has authored 53 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Molecular Biology, 10 papers in Physiology and 10 papers in Nutrition and Dietetics. Recurrent topics in Fabio Marcheggiani's work include Coenzyme Q10 studies and effects (17 papers), Antioxidant Activity and Oxidative Stress (8 papers) and Advanced battery technologies research (7 papers). Fabio Marcheggiani is often cited by papers focused on Coenzyme Q10 studies and effects (17 papers), Antioxidant Activity and Oxidative Stress (8 papers) and Advanced battery technologies research (7 papers). Fabio Marcheggiani collaborates with scholars based in Italy, South Africa and Namibia. Fabio Marcheggiani's co-authors include Luca Tiano, Ilenia Cirilli, Sonia Silvestri, Phiwayinkosi V. Dludla, Patrick Orlando, Bongani B. Nkambule, Sithandiwe E. Mazibuko-Mbeje, Tawanda M. Nyambuya, Elisabetta Damiani and Johan Louw and has published in prestigious journals such as Free Radical Biology and Medicine, International Journal of Molecular Sciences and Molecules.

In The Last Decade

Fabio Marcheggiani

51 papers receiving 1.1k citations

Author Peers

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

Author Last Decade Papers Cites
Fabio Marcheggiani 470 168 132 113 98 53 1.1k
Ilenia Cirilli 440 0.9× 180 1.1× 122 0.9× 123 1.1× 87 0.9× 42 968
Alejandra Guillermina Miranda‐Díaz 436 0.9× 316 1.9× 158 1.2× 113 1.0× 96 1.0× 51 1.5k
Guy Cohen 471 1.0× 320 1.9× 81 0.6× 141 1.2× 93 0.9× 56 1.4k
Refik Kayalı 439 0.9× 235 1.4× 50 0.4× 98 0.9× 158 1.6× 60 1.3k
Anna Polus 481 1.0× 334 2.0× 147 1.1× 145 1.3× 105 1.1× 59 1.3k
Toshiyuki Nakamura 398 0.8× 187 1.1× 82 0.6× 122 1.1× 42 0.4× 72 1.3k
Eva Siles 564 1.2× 261 1.6× 173 1.3× 73 0.6× 66 0.7× 51 1.4k
Chih‐Hsien Chiu 384 0.8× 219 1.3× 230 1.7× 53 0.5× 45 0.5× 56 1.2k
Mei-Ling Tsai 486 1.0× 114 0.7× 141 1.1× 109 1.0× 34 0.3× 36 1.1k
Mohammad Khalili 386 0.8× 195 1.2× 63 0.5× 166 1.5× 174 1.8× 40 983

Countries citing papers authored by Fabio Marcheggiani

Since Specialization
Citations

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

Fields of papers citing papers by Fabio Marcheggiani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fabio Marcheggiani

This figure shows the co-authorship network connecting the top 25 collaborators of Fabio Marcheggiani. A scholar is included among the top collaborators of Fabio Marcheggiani 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 Fabio Marcheggiani. Fabio Marcheggiani 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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2026