Gina Cavaliere

2.9k total citations · 1 hit paper
60 papers, 2.3k citations indexed

About

Gina Cavaliere is a scholar working on Physiology, Epidemiology and Nutrition and Dietetics. According to data from OpenAlex, Gina Cavaliere has authored 60 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Physiology, 18 papers in Epidemiology and 18 papers in Nutrition and Dietetics. Recurrent topics in Gina Cavaliere's work include Adipose Tissue and Metabolism (17 papers), Fatty Acid Research and Health (13 papers) and Adipokines, Inflammation, and Metabolic Diseases (9 papers). Gina Cavaliere is often cited by papers focused on Adipose Tissue and Metabolism (17 papers), Fatty Acid Research and Health (13 papers) and Adipokines, Inflammation, and Metabolic Diseases (9 papers). Gina Cavaliere collaborates with scholars based in Italy, Malta and Spain. Gina Cavaliere's co-authors include Maria Pina Mollica, Giovanna Trinchese, Lillà Lionetti, Marianna Crispino, Chiara De Filippo, Giuseppina Mattace Raso, Rosaria Meli, A. Barletta, Adriano Lama and Giorgio Gifuni and has published in prestigious journals such as PLoS ONE, Diabetes and Scientific Reports.

In The Last Decade

Gina Cavaliere

58 papers receiving 2.2k citations

Hit Papers

Iron metabolism and ferroptosis in health and diseases: T... 2025 2026 2025 5 10 15

Peers

Gina Cavaliere
Comparison fields: 5 of 117
  • Physiology 873
  • Molecular Biology 738
  • Epidemiology 534
  • Nutrition and Dietetics 430
  • Endocrinology, Diabetes and Metabolism 279
Replace Giovanna Trinchese with:
Giovanna Trinchese Italy
Yan Y. Lam United States
Tuncay Kuloğlu Türkiye
Christophe O. Soulage France
Fabienne Laugerette France
Kumi Kimura Japan
Ryan P. McMillan United States
Gang Shu China
Leni R. Rivera Australia
Oriol Alberto Rangel-Zúñiga Spain
Giovanna Trinchese Italy View profile →
Citations per field, relative to Gina Cavaliere
Gina Cavaliere · 1×
Citations per year, relative to Gina Cavaliere
Gina Cavaliere · 1×

Countries citing papers authored by Gina Cavaliere

Since Specialization
Citations

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

Fields of papers citing papers by Gina Cavaliere

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gina Cavaliere

This figure shows the co-authorship network connecting the top 25 collaborators of Gina Cavaliere. A scholar is included among the top collaborators of Gina Cavaliere 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 Gina Cavaliere. Gina Cavaliere is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 3
2 1
3 4
4 18
5 9
6 16
7 36
8 15
9 9
10 71
11 27
12 22
13 20
14 8
15 25
16 2
17 46
18 27
19 70
20 99

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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