Frida Leonetti

11.4k total citations · 2 hit papers
158 papers, 7.9k citations indexed

About

Frida Leonetti is a scholar working on Endocrinology, Diabetes and Metabolism, Epidemiology and Physiology. According to data from OpenAlex, Frida Leonetti has authored 158 papers receiving a total of 7.9k indexed citations (citations by other indexed papers that have themselves been cited), including 65 papers in Endocrinology, Diabetes and Metabolism, 48 papers in Epidemiology and 48 papers in Physiology. Recurrent topics in Frida Leonetti's work include Liver Disease Diagnosis and Treatment (29 papers), Diet and metabolism studies (28 papers) and Metabolism, Diabetes, and Cancer (28 papers). Frida Leonetti is often cited by papers focused on Liver Disease Diagnosis and Treatment (29 papers), Diet and metabolism studies (28 papers) and Metabolism, Diabetes, and Cancer (28 papers). Frida Leonetti collaborates with scholars based in Italy, United States and Sweden. Frida Leonetti's co-authors include Gianluca Iacobellis, Mária Cristina Ribaudo, Alessandra Zappaterreno, Umberto Di Mario, Filippo Assael, Concetta Valeria Iannucci, Danila Capoccia, Nicola Basso, Gianfranço Silecchia and E Vecci and has published in prestigious journals such as Gastroenterology, PLoS ONE and Hepatology.

In The Last Decade

Frida Leonetti

156 papers receiving 7.6k citations

Hit Papers

Echocardiographic Epicardial Adipose Tissue Is Related to... 2003 2026 2010 2018 2003 2003 200 400 600

Peers

Frida Leonetti
Comparison fields: 5 of 122
  • Surgery 3.3k
  • Cardiology and Cardiovascular Medicine 2.9k
  • Physiology 2.3k
  • Endocrinology, Diabetes and Metabolism 1.9k
  • Epidemiology 1.8k
Replace Tsutomu Hirano with:
Tsutomu Hirano Japan
Andreas Festa United States
Gianluca Perseghin Italy
Davide Lauro Italy
Nicola Abate United States
Melania Manco Italy
Mitsuru Ohishi Japan
Anna Solini Italy
Sangeeta R. Kashyap United States
Elmo Mannarino Italy
Tsutomu Hirano Japan View profile →
Citations per field, relative to Frida Leonetti
Frida Leonetti · 1×
Citations per year, relative to Frida Leonetti
Frida Leonetti · 1×

Countries citing papers authored by Frida Leonetti

Since Specialization
Citations

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

Fields of papers citing papers by Frida Leonetti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Frida Leonetti

This figure shows the co-authorship network connecting the top 25 collaborators of Frida Leonetti. A scholar is included among the top collaborators of Frida Leonetti 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 Frida Leonetti. Frida Leonetti 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 2
2 2
3 2
4 17
5 2
6 5
7 22
8 28
9 63
10 17
11 22
12 12
13 5
14 44
15 252
16
Disease Concordance and Genetic Susceptibility to Type 1 Diabetes in Italian Twins
1
17 8
18 252
19 10
20 27

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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