Gianluca Aimaretti

11.5k total citations
240 papers, 7.8k citations indexed

About

Gianluca Aimaretti is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology and Genetics. According to data from OpenAlex, Gianluca Aimaretti has authored 240 papers receiving a total of 7.8k indexed citations (citations by other indexed papers that have themselves been cited), including 181 papers in Endocrinology, Diabetes and Metabolism, 52 papers in Molecular Biology and 42 papers in Genetics. Recurrent topics in Gianluca Aimaretti's work include Growth Hormone and Insulin-like Growth Factors (134 papers), Pituitary Gland Disorders and Treatments (46 papers) and Metabolism, Diabetes, and Cancer (26 papers). Gianluca Aimaretti is often cited by papers focused on Growth Hormone and Insulin-like Growth Factors (134 papers), Pituitary Gland Disorders and Treatments (46 papers) and Metabolism, Diabetes, and Cancer (26 papers). Gianluca Aimaretti collaborates with scholars based in Italy, United States and Spain. Gianluca Aimaretti's 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 and has published in prestigious journals such as The Lancet, PLoS ONE and Endocrine Reviews.

In The Last Decade

Gianluca Aimaretti

229 papers receiving 7.6k citations

Peers

Gianluca Aimaretti
Comparison fields: 5 of 144
  • Endocrinology, Diabetes and Metabolism 5.1k
  • Molecular Biology 1.4k
  • Genetics 1.3k
  • Physiology 1.2k
  • Cardiology and Cardiovascular Medicine 937
Replace Carolina Di Somma with:
Carolina Di Somma Italy
Gudmundur Johannsson Sweden
J. A. M. J. L. Janssen Netherlands
Ken K. Y. Ho Australia
Paolo Marzullo Italy
Beverly M. K. Biller United States
Roser Casamitjana Spain
Marco Cappa Italy
Bengt‐Åke Bengtsson Sweden
E. Chester Ridgway United States
Carolina Di Somma Italy View profile →
Citations per field, relative to Gianluca Aimaretti
Gianluca Aimaretti · 1×
Citations per year, relative to Gianluca Aimaretti
Gianluca Aimaretti · 1×

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-authorship network of co-authors of Gianluca Aimaretti

This figure shows the co-authorship network connecting the top 25 collaborators of Gianluca Aimaretti. A scholar is included among the top collaborators of Gianluca Aimaretti 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 Gianluca Aimaretti. Gianluca Aimaretti 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 5
2 1
3 1
4 24
5 34
6 5
7 14
8 23
9 51
10 122
11 127
12 26
13 98
14 18
15 182
16 17
17 23
18 89
19 49
20 10

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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