Laura Bertoccini

38 papers receiving 919 citations

Peers

Laura Bertoccini
Comparison fields: 5 of 76
  • Endocrinology, Diabetes and Metabolism 218
  • Pathology and Forensic Medicine 178
  • Epidemiology 265
  • Physiology 150
  • Endocrine and Autonomic Systems 32
Replace Flavia Agata Cimini with:
Flavia Agata Cimini Italy
Sung‐Kil Lim South Korea
Francesco Massimo Perla Italy
Arijeet K. Gattu United States
Halil Genç Türkiye
Laura H. Tetri United States
Ingeborg Løstegaard Goverud Norway
Sarra Smati France
Marko Duvnjak Croatia
Kerry–Lee Milner Australia
Laura Bertoccini relative to Flavia Agata Cimini Italy Flavia Agata Cimini's profile →
Citations per field
00.5×1.5×2.3×
Flavia Agata Cimini · 1×
Citations per year

Countries citing papers authored by Laura Bertoccini

Since Specialization
Citations

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

Fields of papers citing papers by Laura Bertoccini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016137
2 201779
3 201773
4 201748
5 201843
6 201439
7 202034
8 202032
9 201931
10 202029
11 202027
12 201526
13 202024
14 201622
15 202022
16 202119
17 201519
18 201818
19 201618
20 201918

About Laura Bertoccini

Laura Bertoccini is a scholar working on Endocrinology, Diabetes and Metabolism, Epidemiology, Molecular Biology, Pathology and Forensic Medicine and Cardiology and Cardiovascular Medicine, having authored 39 papers that have together received 933 indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (5 papers), Lipid metabolism and disorders (5 papers), Diabetes and associated disorders (4 papers), Vitamin D Research Studies (4 papers), Diet and metabolism studies (3 papers), Diet, Metabolism, and Disease (3 papers), Adipokines, Inflammation, and Metabolic Diseases (3 papers) and Heme Oxygenase-1 and Carbon Monoxide (3 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (218 citations), Pathology and Forensic Medicine (178 citations), Epidemiology (265 citations), Physiology (150 citations) and Endocrine and Autonomic Systems (32 citations). Laura Bertoccini has collaborated with scholars based in Italy, Sweden and United States. Frequent co-authors include Marco Giorgio Baroni, Maria Gisella Cavallo, Ilaria Barchetta, Flavia Agata Cimini, Valentina Ceccarelli, S. Morini, Frida Leonetti, Andrea Lenzi, A Fraioli and Claudio Di Cristofano. Their work appears in journals such as Acta Diabetologica, Nutrition Metabolism and Cardiovascular Diseases, Diabetes/Metabolism Research and Reviews, International Journal of Molecular Sciences and Endocrine Research.

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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