Antonio Liuzzi

7.2k citations
126 papers · 5.0k · h-index 43

Impact in

Papers in

Antonio Liuzzi

124 papers receiving 4.6k citations

Peers

Antonio Liuzzi
Comparison fields: 5 of 126
  • Endocrinology, Diabetes and Metabolism 2.6k
  • Endocrine and Autonomic Systems 603
  • Behavioral Neuroscience 151
  • Physiology 683
  • Epidemiology 677
Replace Maurice F. Scanlon with:
Maurice F. Scanlon United Kingdom
Hidesuke Kaji Japan
Ariel L. Barkan United States
Silvia Grottoli Italy
Paul Schalch United States
Laura De Marinis Italy
B. L. Pimstone South Africa
Sandro Loche Italy
Yona Greenman Israel
Blerina Kola United Kingdom
Antonio Liuzzi relative to Maurice F. Scanlon United Kingdom Maurice F. Scanlon's profile →
Citations per field
00.5×1.7×
Maurice F. Scanlon · 1×
Citations per year

Countries citing papers authored by Antonio Liuzzi

Since Specialization
Citations

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

Fields of papers citing papers by Antonio Liuzzi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 126 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010191
2 1974178
3 2004160
4 2000155
5 2000154
6 1998130
7 1999129
8 1985121
9 1987121
10 1981120
11 2003119
12 1992115
13 1972114
14 1974105
15 2007104
16 2001101
17 200294
18 200392
19 197489
20 200687

About Antonio Liuzzi

Antonio Liuzzi is a scholar working on Endocrinology, Diabetes and Metabolism, Endocrine and Autonomic Systems, Epidemiology, Genetics and Surgery, having authored 126 papers that have together received 5.0k indexed citations. Recurring topics across this work include Pituitary Gland Disorders and Treatments (57 papers), Growth Hormone and Insulin-like Growth Factors (39 papers), Adrenal and Paraganglionic Tumors (15 papers), Regulation of Appetite and Obesity (14 papers), Neuroendocrine Tumor Research Advances (13 papers), Biochemical Analysis and Sensing Techniques (7 papers), Adipokines, Inflammation, and Metabolic Diseases (6 papers) and Diet and metabolism studies (5 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (2.6k citations), Endocrine and Autonomic Systems (603 citations), Behavioral Neuroscience (151 citations), Physiology (683 citations) and Epidemiology (677 citations). Antonio Liuzzi has collaborated with scholars based in Italy, United Kingdom and Netherlands. Frequent co-authors include P. G. Chiodini, Paolo Marzullo, GIUSEPPE OPPIZZI, LIDUINA BOTALLA, FRANCO SILVESTRINI, Mariantonella Tagliaferri, DANIELA DALLABONZANA, G. CREMASCOLI, Alessandro Minocci and Renato Cesare Cozzi. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, Clinical Endocrinology, International Journal of Obesity, European Journal of Endocrinology and Obesity.

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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