G Mazzilli

664 citations
12 papers · 417 indexed · h-index 7

Impact in

Papers in

G Mazzilli

12 papers receiving 409 citations

Peers

G Mazzilli
Comparison fields: 5 of 56
  • Endocrinology, Diabetes and Metabolism 187
  • Epidemiology 193
  • Public Health, Environmental and Occupational Health 127
  • Endocrine and Autonomic Systems 29
  • Hepatology 31
Replace Blegina Shashaj with:
Blegina Shashaj Italy
Jana Malinčíková Czechia
Rita Capanna Italy
Priscila L. Sanches Brazil
Luisa M. Rodríguez United States
Rade Vuković Serbia
Giorgia Pepe Italy
Kazuya Fujihara Japan
Ryuzo Takaya Japan
Christine Frithioff‐Bøjsøe Denmark
G Mazzilli relative to Blegina Shashaj Italy Blegina Shashaj's profile →
Citations per field
00.5×5.2×
Blegina Shashaj · 1×
Citations per year

Countries citing papers authored by G Mazzilli

Since Specialization
Citations

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

Fields of papers citing papers by G Mazzilli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

12 of 12 papers shown
#Work
1 2006153
2 2006102
3 200268
4 200735
5 200920
6 200617
7
[The effect of GH on erythropoiesis in vivo].
19937
8 20076
9 20123
10
[Leptin and neuropeptide Y serum levls in young obese during weight loss].
19983
11
[Relationship between blood insulin and arterial hypertension in obese adults].
19912
12 19931

About G Mazzilli

G Mazzilli is a scholar working on Endocrinology, Diabetes and Metabolism, Endocrine and Autonomic Systems, Hepatology, Complementary and alternative medicine and Reproductive Medicine, having authored 12 papers that have together received 417 indexed citations. Recurring topics across this work include Diabetes, Cardiovascular Risks, and Lipoproteins (4 papers), Growth Hormone and Insulin-like Growth Factors (3 papers), Obesity, Physical Activity, Diet (3 papers), Diet, Metabolism, and Disease (2 papers), Regulation of Appetite and Obesity (2 papers), Adipokines, Inflammation, and Metabolic Diseases (2 papers), Blood Pressure and Hypertension Studies (1 paper) and High Altitude and Hypoxia (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (187 citations), Epidemiology (193 citations), Public Health, Environmental and Occupational Health (127 citations), Endocrine and Autonomic Systems (29 citations) and Hepatology (31 citations). G Mazzilli has collaborated with scholars based in Italy and United Kingdom. Frequent co-authors include Alessandro Sartório, Francesco Carlo Morabito, Fiorenza Agosti, Aldo Del Col, Giorgio Bedogni, Stefano Bellentani, Claudio Tiribelli, Luisa Gilardini, Cecilia Invitti and B Pontiggia. Their work appears in journals such as Journal of Human Hypertension, Nutrition Metabolism and Cardiovascular Diseases, European Journal of Clinical Nutrition, Archives of Medical Research and Hormone and Metabolic 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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