Mauro Maccario

9.1k citations
161 papers · 5.1k indexed · h-index 39

Mauro Maccario

153 papers receiving 5.0k citations

Peers

Mauro Maccario
Comparison fields: 5 of 102
  • Endocrine and Autonomic Systems 1.6k
  • Endocrinology, Diabetes and Metabolism 3.4k
  • Behavioral Neuroscience 273
  • Physiology 1.6k
  • Nutrition and Dietetics 626
Replace Francesco Cavagnini with:
Francesco Cavagnini Italy
F. Camanni Italy
Gerald J. Taborsky United States
Antonio Liuzzi Italy
Silvia Grottoli Italy
Laura Gianotti Italy
Jenny Tong United States
Hitoshi Sugihara Japan
Yoshikatsu Nakai Japan
Patric J. D. Delhanty Netherlands
Mauro Maccario relative to Francesco Cavagnini Italy Francesco Cavagnini's profile →
Citations per field
00.5×1.5×2.0×
Francesco Cavagnini · 1×
Citations per year

Countries citing papers authored by Mauro Maccario

Since Specialization
Citations

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

Fields of papers citing papers by Mauro Maccario

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20236
2 202313
3 20239
4 202212
5 20228
6 201924
7 20142
8 201218
9 20075
10
Primary aldosteronism (PA) prevalence in Italy (papy) study: Results of a nationwide survey RID E-9967-2010
20051
11 200349
12 20024
13 200125
14 20005
15 199975
16 19998
17
IGF-I levels in different conditions of low somatotrope secretion in adulthood: obesity in comparison with GH deficiency.
19984
18 19971
19 199520
20 199263

About Mauro Maccario

Mauro Maccario is a scholar working on Endocrinology, Diabetes and Metabolism, Endocrine and Autonomic Systems and Behavioral Neuroscience, having authored 161 papers that have together received 5.1k indexed citations. Recurring topics across this work include Growth Hormone and Insulin-like Growth Factors (70 papers), Hormonal Regulation and Hypertension (47 papers), Regulation of Appetite and Obesity (38 papers), Pituitary Gland Disorders and Treatments (30 papers), Adrenal and Paraganglionic Tumors (30 papers), Diet and metabolism studies (27 papers), Adrenal Hormones and Disorders (18 papers) and Adipose Tissue and Metabolism (13 papers). The work is most often cited by research in Endocrine and Autonomic Systems (1.6k citations), Endocrinology, Diabetes and Metabolism (3.4k citations) and Behavioral Neuroscience (273 citations). Mauro Maccario has collaborated with scholars based in Italy, Belarus and United States. Frequent co-authors include Ezio Ghigo, Emanuela Arvat, F. Camanni, Silvia Grottoli, Fabio Broglio, Massimo Procopio, Gianluca Aimaretti, Ruth Rossetto, Giampiero Muccioli and Romano Deghenghi. Their work appears in journals such as SHILAP Revista de lepidopterología, The Journal of Clinical Endocrinology & Metabolism and Scientific Reports.

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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