Gianluca Aimaretti

11.7k citations
242 papers · 7.9k · h-index 47

Impact in

Papers in

Gianluca Aimaretti

231 papers receiving 7.7k citations

Peers

Gianluca Aimaretti
Comparison fields: 5 of 141
  • Endocrinology, Diabetes and Metabolism 4.7k
  • Endocrine and Autonomic Systems 570
  • Neurology 559
  • Behavioral Neuroscience 130
  • Physiology 870
Replace Beverly M. K. Biller with:
Beverly M. K. Biller United States
Gudmundur Johannsson Sweden
Carolina Di Somma Italy
Ken K. Y. Ho Australia
Fausto Santeusanio Italy
Paolo Marzullo Italy
Marco Cappa Italy
Nelly Mauras United States
Susan M. Webb Spain
P Czernichow France
Gianluca Aimaretti relative to Beverly M. K. Biller United States Beverly M. K. Biller's profile →
Citations per field
00.5×2.6×
Beverly M. K. Biller · 1×
Citations per year

Countries citing papers authored by Gianluca Aimaretti

Since Specialization
Citations

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

Fields of papers citing papers by Gianluca Aimaretti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 242 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004264
2 2005250
3 1996245
4 1998230
5 2007221
6 1996210
7 2010186
8 2005182
9 2008175
10 1999172
11 2015137
12 2017131
13 2018128
14 2003123
15 1998123
16 2012102
17 200099
18 200795
19 199989
20 200086

About Gianluca Aimaretti

Gianluca Aimaretti is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology, Genetics, Surgery and Cardiology and Cardiovascular Medicine, having authored 242 papers that have together received 7.9k indexed citations. Recurring topics across this work include Growth Hormone and Insulin-like Growth Factors (120 papers), Pituitary Gland Disorders and Treatments (35 papers), Genetic Syndromes and Imprinting (17 papers), Regulation of Appetite and Obesity (16 papers), Lipid metabolism and disorders (16 papers), Thyroid Disorders and Treatments (16 papers), Diet and metabolism studies (16 papers) and Metabolism, Diabetes, and Cancer (15 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (4.7k citations), Endocrine and Autonomic Systems (570 citations), Neurology (559 citations), Behavioral Neuroscience (130 citations) and Physiology (870 citations). Gianluca Aimaretti has collaborated with scholars based in Italy, United States and Spain. Frequent co-authors include Ezio Ghigo, F. Camanni, Emanuela Arvat, G. Corneli, Paolo Marzullo, Simonetta Bellone, Carolina Di Somma, Flavia Prodam, J. Bellone and Silvia Grottoli. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, European Journal of Endocrinology, Clinical Endocrinology, Frontiers in Endocrinology and Pituitary.

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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