Daniela Vitucci

27 papers receiving 501 citations

Peers

Daniela Vitucci
Comparison fields: 5 of 90
  • Biochemistry 156
  • Biological Psychiatry 35
  • Clinical Biochemistry 69
  • Cellular and Molecular Neuroscience 142
  • Physiology 101
Replace Fernanda Hansen with:
Fernanda Hansen Brazil
Alessandra Bolotta Italy
Kazue Kikuchi-Utsumi Japan
Julien Roussel France
Graham G. Shaw United Kingdom
Margaret A. Reilly United States
M. Maalouf Canada
M. Logue United States
Jennifer L. Greene United States
Jingyun Hu China
Daniela Vitucci relative to Fernanda Hansen Brazil Fernanda Hansen's profile →
Citations per field
00.5×6.5×
Fernanda Hansen · 1×
Citations per year

Countries citing papers authored by Daniela Vitucci

Since Specialization
Citations

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

Fields of papers citing papers by Daniela Vitucci

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Daniela Vitucci, 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 Vitucci Line = papers co-authored together Daniela Vitucci links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201383
2 201449
3 201543
4 201741
5 201534
6 201133
7 201527
8 201525
9 201524
10 201724
11 201919
12 202315
13 201715
14 202314
15 202112
16 20219
17 20207
18 20227
19 20226
20 20224

About Daniela Vitucci

Daniela Vitucci is a scholar working on Molecular Biology, Physiology, Cellular and Molecular Neuroscience, Rehabilitation and Biochemistry, having authored 28 papers that have together received 504 indexed citations. Recurring topics across this work include Exercise and Physiological Responses (6 papers), Neuroscience and Neuropharmacology Research (6 papers), Amino Acid Enzymes and Metabolism (5 papers), Adipose Tissue and Metabolism (4 papers), Muscle metabolism and nutrition (4 papers), Muscle Physiology and Disorders (4 papers), Metabolism and Genetic Disorders (2 papers) and Epigenetics and DNA Methylation (2 papers). The work is most often cited by research in Biochemistry (156 citations), Biological Psychiatry (35 citations), Clinical Biochemistry (69 citations), Cellular and Molecular Neuroscience (142 citations) and Physiology (101 citations). Daniela Vitucci has collaborated with scholars based in Italy, Denmark and United Kingdom. Frequent co-authors include Alessandro Usiello, Francesco Errico, Francesco Napolitano, Pasqualina Buono, Alessandro Bertolino, Marta Squillace, Annamaria Mancini, Giuseppe Blasi, Stefania Orrù and Andrea de Bartolomeis. Their work appears in journals such as International Journal of Environmental Research and Public Health, International Journal of Molecular Sciences, Frontiers in Nutrition, Translational Psychiatry and European Journal of Applied Physiology.

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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