G. Corneli

2.4k citations
57 papers · 1.9k indexed · h-index 22

Impact in

Papers in

G. Corneli

55 papers receiving 1.8k citations

Peers

G. Corneli
Comparison fields: 5 of 79
  • Endocrinology, Diabetes and Metabolism 1.5k
  • Endocrine and Autonomic Systems 143
  • Genetics 483
  • Cardiology and Cardiovascular Medicine 307
  • Physiology 304
Replace Andrew Toogood with:
Andrew Toogood United Kingdom
G.J. Blok Netherlands
Valentina Gasco Italy
Bartolomeo Merola Italy
Manuel H. Aguiar‐Oliveira Brazil
Nina Vahl Denmark
Marie Degerblad Sweden
Claudia Baffoni Italy
K. Johansen Denmark
Andrew J. Weissberger Australia
G. Corneli relative to Andrew Toogood United Kingdom Andrew Toogood's profile →
Citations per field
00.5×1.5×
Andrew Toogood · 1×
Citations per year

Countries citing papers authored by G. Corneli

Since Specialization
Citations

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

Fields of papers citing papers by G. Corneli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 57 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005250
2 1998230
3 1999172
4 199989
5 200872
6 200772
7 200071
8 200759
9 200755
10 200354
11 199853
12 200751
13 200038
14 200637
15 200835
16 199934
17 200133
18 200327
19 200826
20 200123

About G. Corneli

G. Corneli is a scholar working on Endocrinology, Diabetes and Metabolism, Endocrine and Autonomic Systems, Genetics, Cardiology and Cardiovascular Medicine and Pediatrics, Perinatology and Child Health, having authored 57 papers that have together received 1.9k indexed citations. Recurring topics across this work include Growth Hormone and Insulin-like Growth Factors (51 papers), Genetic Syndromes and Imprinting (13 papers), Lipid metabolism and disorders (13 papers), Pituitary Gland Disorders and Treatments (9 papers), Metabolism, Diabetes, and Cancer (8 papers), Diabetes and associated disorders (7 papers), Regulation of Appetite and Obesity (7 papers) and Pancreatic function and diabetes (6 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (1.5k citations), Endocrine and Autonomic Systems (143 citations), Genetics (483 citations), Cardiology and Cardiovascular Medicine (307 citations) and Physiology (304 citations). G. Corneli has collaborated with scholars based in Italy, Germany and United States. Frequent co-authors include Ezio Ghigo, Gianluca Aimaretti, F. Camanni, Simonetta Bellone, Carolina Di Somma, Emanuela Arvat, Claudia Baffoni, Silvia Grottoli, Silvia Rovere and Valentina Gasco. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, Clinical Endocrinology, European Journal of Endocrinology, Pituitary and Growth Hormone & IGF Research.

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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