A Velardo

878 citations
37 papers · 462 · h-index 10

Impact in

Papers in

A Velardo

37 papers receiving 448 citations

Peers

A Velardo
Comparison fields: 5 of 65
  • Behavioral Neuroscience 86
  • Endocrine and Autonomic Systems 133
  • Endocrinology, Diabetes and Metabolism 151
  • Cellular and Molecular Neuroscience 116
  • Reproductive Medicine 48
Replace François Bernet with:
François Bernet France
David K. Sundberg United States
Yvette Taché United States
Müller Ee Italy
CHARLES E. DE LA VEGA Canada
Daniel Désir Belgium
Ernane Torres Uchôa Brazil
Kevin J. Latchford Canada
E Lenzi Italy
A.N Taylor United States
A Velardo relative to François Bernet France François Bernet's profile →
Citations per field
00.5×2.7×
François Bernet · 1×
Citations per year

Countries citing papers authored by A Velardo

Since Specialization
Citations

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

Fields of papers citing papers by A Velardo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 198978
2 199865
3 199465
4 199042
5 199729
6 200029
7 199021
8
Influence of aging on the neurochemical organization of the rat paraventricular nucleus.
199016
9 199611
10 198910
11 19929
12 20008
13 19977
14 19946
15 19956
16 19936
17 19945
18 19965
19 20095
20 19994

About A Velardo

A Velardo is a scholar working on Endocrinology, Diabetes and Metabolism, Endocrine and Autonomic Systems, Behavioral Neuroscience, Reproductive Medicine and Cellular and Molecular Neuroscience, having authored 37 papers that have together received 462 indexed citations. Recurring topics across this work include Growth Hormone and Insulin-like Growth Factors (8 papers), Stress Responses and Cortisol (8 papers), Thyroid Disorders and Treatments (7 papers), Pituitary Gland Disorders and Treatments (6 papers), Hormonal and reproductive studies (5 papers), Hypothalamic control of reproductive hormones (5 papers), Neuroscience of respiration and sleep (4 papers) and Neuroscience and Neuropharmacology Research (2 papers). The work is most often cited by research in Behavioral Neuroscience (86 citations), Endocrine and Autonomic Systems (133 citations), Endocrinology, Diabetes and Metabolism (151 citations), Cellular and Molecular Neuroscience (116 citations) and Reproductive Medicine (48 citations). A Velardo has collaborated with scholars based in Italy, Russia and United States. Frequent co-authors include P Marrama, Luciana Giardino, Laura Calzà, G. Del Rió, Massimo Zanni, Renata Menozzi, Maria Venneri, N. Battistini, Angelo Avogaro and Graziano Del Rio. Their work appears in journals such as European Journal of Endocrinology, International Journal of Obesity, Experimental and Clinical Endocrinology & Diabetes, Neuroendocrinology and The Journal of Clinical Endocrinology & Metabolism.

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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