Gilberta Giacchetti

8.8k citations
79 papers · 3.8k · h-index 34

Impact in

Papers in

Gilberta Giacchetti

74 papers receiving 3.7k citations

Peers

Gilberta Giacchetti
Comparison fields: 5 of 96
  • Endocrinology, Diabetes and Metabolism 2.7k
  • Behavioral Neuroscience 198
  • Cardiology and Cardiovascular Medicine 699
  • Surgery 1.1k
  • Physiology 410
Replace Molly C. Carr with:
Molly C. Carr United States
Mitsuo Fukushima Japan
F. P. Alford Australia
J. M. C. Connell United Kingdom
Hiroshi Yamamoto Japan
Roger J. Grekin United States
Heinrich E. Lob United States
O. B. Holland United States
Kazuo Takebe Japan
Giuseppe Seghieri Italy
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Citations per field
00.5×2.5×
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Citations per year

Countries citing papers authored by Gilberta Giacchetti

Since Specialization
Citations

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

Fields of papers citing papers by Gilberta Giacchetti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 79 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006353
2 2005222
3 2006174
4 2008168
5 2002165
6 2006156
7 2008147
8 2008144
9 2013125
10 2007117
11 2006115
12 2000114
13 2005114
14 200093
15 200784
16 200381
17 201278
18 199675
19 200870
20 201369

About Gilberta Giacchetti

Gilberta Giacchetti is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery, Molecular Biology, Cardiology and Cardiovascular Medicine and Physiology, having authored 79 papers that have together received 3.8k indexed citations. Recurring topics across this work include Hormonal Regulation and Hypertension (53 papers), Adrenal and Paraganglionic Tumors (13 papers), Adrenal Hormones and Disorders (11 papers), Renin-Angiotensin System Studies (9 papers), Blood Pressure and Hypertension Studies (8 papers), Cardiovascular, Neuropeptides, and Oxidative Stress Research (8 papers), Adipose Tissue and Metabolism (6 papers) and Ion Transport and Channel Regulation (5 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (2.7k citations), Behavioral Neuroscience (198 citations), Cardiology and Cardiovascular Medicine (699 citations), Surgery (1.1k citations) and Physiology (410 citations). Gilberta Giacchetti has collaborated with scholars based in Italy, United States and United Kingdom. Frequent co-authors include Franco Mantero, Marco Boscaro, Vanessa Ronconi, Leonardo A. Sechi, S Rilli, Gian Paolo Rossi, Federica Turchi, Emanuela Faloia, Robert M. Carey and Mauro Maccario. Their work appears in journals such as Hypertension, Journal of Hypertension, Trends in Endocrinology and Metabolism, The Journal of Clinical Endocrinology & Metabolism and American Journal of Hypertension.

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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