Fabrizio Ledda

2.8k citations
65 papers · 2.4k · h-index 26

Impact in

Papers in

Fabrizio Ledda

65 papers receiving 2.3k citations

Peers

Fabrizio Ledda
Comparison fields: 5 of 111
  • Psychiatry and Mental health 320
  • Physiology 566
  • Cellular and Molecular Neuroscience 394
  • Biochemistry 156
  • Endocrinology, Diabetes and Metabolism 285
Replace F. Ledda with:
F. Ledda Italy
Michael B. Ganz United States
Nambi Aiyar United States
Luca Rampoldi Italy
Klaus Dembowsky Germany
Michèl A.A.P. Willemsen Netherlands
Sandra Amerini Italy
William Hill United States
António Toscano Italy
Takeshi Katsuragi Japan
Fabrizio Ledda relative to F. Ledda Italy F. Ledda's profile →
Citations per field
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F. Ledda · 1×
Citations per year

Countries citing papers authored by Fabrizio Ledda

Since Specialization
Citations

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

Fields of papers citing papers by Fabrizio Ledda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 65 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1998375
2 2004279
3 1997168
4 2001121
5 199083
6 199877
7 200071
8 200264
9 200364
10 200462
11 199561
12 200560
13 200541
14 198439
15 197637
16 199936
17 201136
18 198233
19 198732
20
alpha(1D)-adrenoceptors cause endothelium-dependent vasodilatation in the rat mesenteric vascular bed.
200132

About Fabrizio Ledda

Fabrizio Ledda is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Cardiology and Cardiovascular Medicine, Physiology and Genetics, having authored 65 papers that have together received 2.4k indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (21 papers), Neuropeptides and Animal Physiology (18 papers), Nitric Oxide and Endothelin Effects (12 papers), Angiogenesis and VEGF in Cancer (10 papers), Cardiac electrophysiology and arrhythmias (9 papers), Pharmacological Receptor Mechanisms and Effects (8 papers), Renin-Angiotensin System Studies (6 papers) and Coagulation, Bradykinin, Polyphosphates, and Angioedema (6 papers). The work is most often cited by research in Psychiatry and Mental health (320 citations), Physiology (566 citations), Cellular and Molecular Neuroscience (394 citations), Biochemistry (156 citations) and Endocrinology, Diabetes and Metabolism (285 citations). Fabrizio Ledda has collaborated with scholars based in Italy, United States and Netherlands. Frequent co-authors include Astrid Parenti, Laura Mantelli, Harris J. Granger, Marina Ziche, Sandra Amerini, Lucia Morbidelli, Sandra Filippi, Mario Maggi, John Hood and Janice G. Douglas. Their work appears in journals such as British Journal of Pharmacology, European Journal of Pharmacology, Journal of Cardiovascular Pharmacology, Endocrinology and American Journal of Physiology-Heart and Circulatory Physiology.

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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