G. Corneli

2.4k citations
57 papers · 2.0k · h-index 23

Impact in

Papers in

G. Corneli

55 papers receiving 1.9k citations

Peers

G. Corneli
Comparison fields: 5 of 72
  • Endocrinology, Diabetes and Metabolism 1.5k
  • Endocrine and Autonomic Systems 113
  • Genetics 348
  • Cardiology and Cardiovascular Medicine 203
  • Physiology 223
Replace G.J. Blok with:
G.J. Blok Netherlands
Manuel H. Aguiar‐Oliveira Brazil
K. Johansen Denmark
Nina Vahl Denmark
Marie Degerblad Sweden
Bartolomeo Merola Italy
Andrew J. Weissberger Australia
Claudia Baffoni Italy
Valentina Gasco Italy
Domenico Valle Italy
G. Corneli relative to G.J. Blok Netherlands G.J. Blok's profile →
Citations per field
00.5×7.2×
G.J. Blok · 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 2005269
2 1998241
3 1999175
4 199989
5 200887
6 200781
7 200075
8 200766
9 200762
10 200355
11 199854
12 200752
13 200640
14 200840
15 200039
16 199936
17 200133
18 200832
19 200829
20 200328

About G. Corneli

G. Corneli is a scholar working on Endocrinology, Diabetes and Metabolism, Genetics, Molecular Biology, Cardiology and Cardiovascular Medicine and Surgery, having authored 57 papers that have together received 2.0k indexed citations. Recurring topics across this work include Growth Hormone and Insulin-like Growth Factors (46 papers), Genetic Syndromes and Imprinting (9 papers), Lipid metabolism and disorders (9 papers), Pituitary Gland Disorders and Treatments (7 papers), Diabetes and associated disorders (6 papers), Metabolism, Diabetes, and Cancer (6 papers), Childhood Cancer Survivors' Quality of Life (5 papers) and Pancreatic function and diabetes (5 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (1.5k citations), Endocrine and Autonomic Systems (113 citations), Genetics (348 citations), Cardiology and Cardiovascular Medicine (203 citations) and Physiology (223 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 Clinical Endocrinology, The Journal of Clinical Endocrinology & Metabolism, 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.

Explore authors with similar magnitude of impact