L. Barbetta

973 citations
20 papers · 611 indexed · h-index 14

Impact in

Papers in

    • Adrenal Hormones and Disorders 11
    • Pituitary Gland Disorders and Treatments 10
    • Growth Hormone and Insulin-like Growth Factors 5
    • Hormonal Regulation and Hypertension 5
    • Hormonal and reproductive studies 2
    • Adrenal and Paraganglionic Tumors 5

L. Barbetta

20 papers receiving 599 citations

Peers

L. Barbetta
Comparison fields: 5 of 66
  • Endocrinology, Diabetes and Metabolism 519
  • Behavioral Neuroscience 37
  • Surgery 306
  • Cancer Research 93
  • Reproductive Medicine 17
Replace Lucia Gagliardi with:
Lucia Gagliardi Australia
Marialuisa Zilio Italy
Ágnes Szappanos Hungary
Urszula Ambroziak Poland
Gloria Appolloni Italy
Flávia Lúcia Conceição Brazil
Lars Østergaard Kristensen Denmark
M Marugo Italy
J. Rodríguez‐Arnao United Kingdom
Jean-Luc Coolens Belgium
L. Barbetta relative to Lucia Gagliardi Australia Lucia Gagliardi's profile →
Citations per field
00.5×1.5×2.4×
Lucia Gagliardi · 1×
Citations per year

Countries citing papers authored by L. Barbetta

Since Specialization
Citations

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

Fields of papers citing papers by L. Barbetta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 2002167
2 199871
3 200158
4 200044
5 200344
6 200436
7 200434
8 200228
9 200523
10 200421
11 200420
12 201817
13 199716
14 200114
15 20068
16 20224
17 20023
18 20031
19 20231
20 20051

About L. Barbetta

L. Barbetta is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery, Cancer Research, Infectious Diseases and Molecular Biology, having authored 20 papers that have together received 611 indexed citations. Recurring topics across this work include Adrenal Hormones and Disorders (11 papers), Pituitary Gland Disorders and Treatments (10 papers), Growth Hormone and Insulin-like Growth Factors (5 papers), Hormonal Regulation and Hypertension (5 papers), Adrenal and Paraganglionic Tumors (5 papers), Cancer, Hypoxia, and Metabolism (3 papers), Long-Term Effects of COVID-19 (2 papers) and Hormonal and reproductive studies (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (519 citations), Behavioral Neuroscience (37 citations), Surgery (306 citations), Cancer Research (93 citations) and Reproductive Medicine (17 citations). L. Barbetta has collaborated with scholars based in Italy and United States. Frequent co-authors include Chiara Dall’Asta, B. Ambrosi, Rossella Libé, E. Passini, T. Re, Andrea Baccarelli, Paolo Beck-Peccoz, Bruno Ambrosi, G. Faglia and Lelio Morricone. Their work appears in journals such as European Journal of Endocrinology, Hormone and Metabolic Research, Pituitary, Internal and Emergency Medicine and Journal of Clinical Medicine.

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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