E. Ciccarelli

2.6k citations
51 papers · 1.4k · h-index 20

Impact in

Papers in

E. Ciccarelli

51 papers receiving 1.3k citations

Peers

E. Ciccarelli
Comparison fields: 5 of 73
  • Endocrinology, Diabetes and Metabolism 1.1k
  • Genetics 98
  • Surgery 355
  • Endocrine and Autonomic Systems 51
  • Epidemiology 207
Replace G. Oppizzi with:
G. Oppizzi Italy
N Sanno Japan
Kam‐Tsun Tang Taiwan
John Bicknell United Kingdom
Renato Cozzi Italy
Laurence Guignat France
Nicole Unger Germany
Gianluca Occhi Italy
Alessandro Piovesan Italy
D. Dallabonzana Italy
E. Ciccarelli relative to G. Oppizzi Italy G. Oppizzi's profile →
Citations per field
00.5×
G. Oppizzi · 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-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 51 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012135
2 1997110
3 200996
4 200695
5 200089
6 198960
7 199757
8 200157
9 199756
10 200351
11 199350
12 199249
13 199635
14 199634
15 198933
16 199727
17 199024
18 200324
19 198821
20 199320

About E. Ciccarelli

E. Ciccarelli is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery, Molecular Biology, Epidemiology and Genetics, having authored 51 papers that have together received 1.4k indexed citations. Recurring topics across this work include Pituitary Gland Disorders and Treatments (37 papers), Growth Hormone and Insulin-like Growth Factors (27 papers), Adrenal and Paraganglionic Tumors (12 papers), Neuroendocrine Tumor Research Advances (4 papers), Ophthalmology and Eye Disorders (3 papers), Cancer Treatment and Pharmacology (3 papers), Adrenal Hormones and Disorders (3 papers) and Regulation of Appetite and Obesity (3 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (1.1k citations), Genetics (98 citations), Surgery (355 citations), Endocrine and Autonomic Systems (51 citations) and Epidemiology (207 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, Marie‐Lise Jaffrain‐Rea, Massimo Giusti, Carlo Ferrari, MF Scanlon and Ashley Grossman. Their work appears in journals such as Clinical Endocrinology, European Journal of Endocrinology, The Journal of Clinical Endocrinology & Metabolism, Fertility and Sterility and Journal of Endocrinological Investigation.

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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