A. Faedda

573 citations
22 papers · 446 · h-index 10

Impact in

Papers in

A. Faedda

22 papers receiving 433 citations

Peers

A. Faedda
Comparison fields: 5 of 54
  • Endocrinology, Diabetes and Metabolism 322
  • Endocrine and Autonomic Systems 85
  • Developmental Neuroscience 26
  • Reproductive Medicine 48
  • Behavioral Neuroscience 14
Replace Fernando Pazos with:
Fernando Pazos Spain
Jean-Michel Dubuis Switzerland
K. D. Fagin United States
Flavio Henrique Curty Brazil
Sidney A. Jones United States
J. Schwartz Australia
G Leboeuf Canada
Ágnes Nemeskéri Hungary
J. Mallol Spain
R. Groote Veldman Netherlands
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Citations per field
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Citations per year

Countries citing papers authored by A. Faedda

Since Specialization
Citations

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

Fields of papers citing papers by A. Faedda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1987118
2 200275
3 199769
4 200635
5 198434
6 199527
7 199318
8 199112
9
The GH/IGF-I axis in puberty.
199611
10 199210
11
Partial proximal trisomy 10q syndrome: a new case.
20026
12 19986
13 19845
14
effect of Weight Loss on Adrenal Androgen Plasma Levels in Obese Prepubertal Girls
19805
15 19974
16 19983
17 19842
18 19862
19
The effect of pirenzepine on the growth hormone response to growth hormone-releasing hormone in obese children
19931
20 19971

About A. Faedda

A. Faedda is a scholar working on Endocrinology, Diabetes and Metabolism, Pediatrics, Perinatology and Child Health, Physiology, Genetics and Molecular Biology, having authored 22 papers that have together received 446 indexed citations. Recurring topics across this work include Growth Hormone and Insulin-like Growth Factors (11 papers), Thyroid Disorders and Treatments (4 papers), Hormonal and reproductive studies (3 papers), Hemoglobinopathies and Related Disorders (2 papers), Iron Metabolism and Disorders (2 papers), Birth, Development, and Health (2 papers), Hypothalamic control of reproductive hormones (2 papers) and Pituitary Gland Disorders and Treatments (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (322 citations), Endocrine and Autonomic Systems (85 citations), Developmental Neuroscience (26 citations), Reproductive Medicine (48 citations) and Behavioral Neuroscience (14 citations). A. Faedda has collaborated with scholars based in Italy, New Zealand and United States. Frequent co-authors include Sandro Loche, Marco Cappa, C. Pintor, R. Corda, Silvano G. Cella, P. Borrelli, Eugenio E. Müller, Antonino Crinò, Maria Rosaria Casini and Romano Deghenghi. Their work appears in journals such as The Journal of Pediatrics, Clinical Endocrinology, The Journal of Clinical Endocrinology & Metabolism, Journal of Endocrinological Investigation and Hormone and Metabolic Research.

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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