E. Ciccarelli

2.6k citations
51 papers · 1.4k indexed · h-index 20
Topics
Pituitary Gland Disorders and Treatments (39 papers)Growth Hormone and Insulin-like Growth Factors (35 papers)Adrenal and Paraganglionic Tumors (17 papers)

In The Last Decade

E. Ciccarelli

51 papers receiving 1.3k citations

Peers

E. Ciccarelli
Comparison fields: 5 of 74
  • Endocrinology, Diabetes and Metabolism 1.1k
  • Surgery 543
  • Epidemiology 276
  • Molecular Biology 206
  • Genetics 130
Replace W.H. Ludlam with:
W.H. Ludlam United States
Marica Arvigo Italy
G. Oppizzi Italy
Ginette Gunz France
N Sanno Japan
Laurence Guignat France
Kam‐Tsun Tang Taiwan
Ludovica F. S. Grasso Italy
Alessandro Piovesan Italy
D. Dallabonzana Italy
E. Ciccarelli relative to W.H. Ludlam United States W.H. Ludlam's profile →
Citations per field
00.5×1.5×
W.H. Ludlam · 1×
Citations per year

Countries citing papers authored by E. Ciccarelli

Since Specialization
Citations

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

Fields of papers citing papers by E. Ciccarelli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of E. Ciccarelli

This figure shows the co-authorship network connecting the top 25 collaborators of E. Ciccarelli. A scholar is included among the top collaborators of E. Ciccarelli 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 E. Ciccarelli. E. Ciccarelli 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
#WorkIndexed citations
1 134
2 19
3 16
4
Long-term results with the slow-release formulation of lanreotide in acromegalic patients
1
5 56
6 28
7 1
8 35
9 2
10 12
11 50
12 20
13 3
14 3
15 16
16 60
17 33
18 14
19 12
20 21

About E. Ciccarelli

E. Ciccarelli is a scholar working on Endocrinology, Diabetes and Metabolism, Endocrine and Autonomic Systems and Surgery, having authored 51 papers that have together received 1.4k indexed citations. Recurring topics across this work include Pituitary Gland Disorders and Treatments (39 papers), Growth Hormone and Insulin-like Growth Factors (35 papers) and Adrenal and Paraganglionic Tumors (17 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (1.1k citations), Surgery (543 citations) and Genetics (130 citations). E. Ciccarelli has collaborated with scholars based in Italy, United Kingdom and Belgium. Frequent co-authors include F. Camanni, Daniela Gaia, Ezio Ghigo, Paola Razzore, Silvia Grottoli, Massimo Giusti, Marie‐Lise Jaffrain‐Rea, MF Scanlon, Carlo Ferrari and Ashley Grossman. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, Human Molecular Genetics and The Journal of Urology.

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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