Daniela Rovito

1.0k citations
25 papers · 865 · h-index 16

Impact in

Papers in

    • Peroxisome Proliferator-Activated Receptors 3
    • Muscle Physiology and Disorders 3
    • Cancer-related Molecular Pathways 5

Daniela Rovito

23 papers receiving 849 citations

Peers

Daniela Rovito
Comparison fields: 5 of 93
  • Cancer Research 179
  • Biochemistry 39
  • Biochemistry 47
  • Food Science 116
  • Molecular Biology 393
Replace Lascelles E. Lyn‐Cook with:
Lascelles E. Lyn‐Cook United States
Margalida Torrens‐Mas Spain
Minsun Chang South Korea
Tomiyasu Murata Japan
Margaret H. Marino United States
Mahmoud Shekari Khaniani Iran
Jae‐Ho Park South Korea
Isadora Carolina Betim Pavan Brazil
Ali F. Abdel-Wahab Egypt
Julian J. Raffoul United States
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Citations per field
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Citations per year

Countries citing papers authored by Daniela Rovito

Since Specialization
Citations

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

Fields of papers citing papers by Daniela Rovito

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Daniela Rovito, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Daniela Rovito Line = papers co-authored together Daniela Rovito links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012145
2 2012115
3 201495
4 200578
5 201968
6 201553
7 201647
8 202235
9 202334
10 201134
11 202026
12 202124
13 201721
14 201319
15 201319
16 201915
17 201715
18 202013
19 20225
20 20231

About Daniela Rovito

Daniela Rovito is a scholar working on Molecular Biology, Oncology, Nutrition and Dietetics, Epidemiology and Endocrinology, Diabetes and Metabolism, having authored 25 papers that have together received 865 indexed citations. Recurring topics across this work include Cancer-related Molecular Pathways (5 papers), Fatty Acid Research and Health (3 papers), Inflammatory Myopathies and Dermatomyositis (3 papers), Peroxisome Proliferator-Activated Receptors (3 papers), Estrogen and related hormone effects (3 papers), Muscle Physiology and Disorders (3 papers), Vitamin D Research Studies (3 papers) and Vitamin C and Antioxidants Research (2 papers). The work is most often cited by research in Cancer Research (179 citations), Biochemistry (39 citations), Biochemistry (47 citations), Food Science (116 citations) and Molecular Biology (393 citations). Daniela Rovito has collaborated with scholars based in Italy, France and United States. Frequent co-authors include Ines Barone, Stefania Catalano, Daniela Bonofiglio, Sebastiano Andò, Cinzia Giordano, Donatella Vizza, Pierluigi Plastina, Marilena Lanzino, Bartolo Gabriele and Francesca De Amicis. Their work appears in journals such as Science Advances, Nature Communications, Oncogene, Oncotarget and Genetics.

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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