Laura Bertoccini

1.2k citations
38 papers · 910 · h-index 18

Impact in

Papers in

Laura Bertoccini

38 papers receiving 897 citations

Peers

Laura Bertoccini
Comparison fields: 5 of 79
  • Endocrinology, Diabetes and Metabolism 291
  • Pathology and Forensic Medicine 199
  • Epidemiology 345
  • Physiology 205
  • Endocrine and Autonomic Systems 40
Replace Flavia Agata Cimini with:
Flavia Agata Cimini Italy
Sung‐Kil Lim South Korea
Laura H. Tetri United States
Verónica Miksztowicz Argentina
Jung A Kim South Korea
Reza Fadaei Iran
Jianmin Ran China
Mizuho Tamura Japan
Halil Genç Türkiye
Teoman Doğru Türkiye
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 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016135
2 201777
3 201773
4 201746
5 201843
6 201438
7 202032
8 201931
9 202030
10 202028
11 202028
12 201526
13 202023
14 202022
15 201621
16 201519
17 201918
18 201817
19 201617
20 201816

About Laura Bertoccini

Laura Bertoccini is a scholar working on Endocrinology, Diabetes and Metabolism, Epidemiology, Cardiology and Cardiovascular Medicine, Physiology and Surgery, having authored 38 papers that have together received 910 indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (9 papers), Lipid metabolism and disorders (8 papers), Diet, Metabolism, and Disease (6 papers), Vitamin D Research Studies (6 papers), Diabetes Treatment and Management (6 papers), Diabetes and associated disorders (5 papers), Diet and metabolism studies (5 papers) and Diabetes, Cardiovascular Risks, and Lipoproteins (4 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (291 citations), Pathology and Forensic Medicine (199 citations), Epidemiology (345 citations), Physiology (205 citations) and Endocrine and Autonomic Systems (40 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, S. Morini, Valentina Ceccarelli, Frida Leonetti, Andrea Lenzi, A Fraioli and Gianfranço Silecchia. Their work appears in journals such as Acta Diabetologica, Diabetes/Metabolism Research and Reviews, Nutrition Metabolism and Cardiovascular Diseases, Endocrine Research and International Journal of Molecular Sciences.

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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