G. Giannattasio

1.9k citations
41 papers · 1.5k indexed · h-index 22

G. Giannattasio

38 papers receiving 1.4k citations

Peers

G. Giannattasio
Comparison fields: 5 of 76
  • Endocrinology, Diabetes and Metabolism 962
  • Reproductive Medicine 137
  • Behavioral Neuroscience 52
  • Genetics 120
  • Cellular and Molecular Neuroscience 185
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F Peillon France
Lesley Tannahill United Kingdom
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Citations per field
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Citations per year

Countries citing papers authored by G. Giannattasio

Since Specialization
Citations

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

Fields of papers citing papers by G. Giannattasio

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20240
2 20232
3 199015
4 199033
5 19897
6 198821
7 19887
8 198821
9 1987403
10 198672
11 198454
12 198231
13 198228
14 198226
15 198021
16 198025
17 197911
18
Molecular organization of rat prolactin secretory granules.
19745
19 19744
20
[The effect of plasma on the chorionic gonadotropin rate in male prepuberal rats].
19680

About G. Giannattasio

G. Giannattasio is a scholar working on Endocrinology, Diabetes and Metabolism, Genetics, Reproductive Medicine, Endocrine and Autonomic Systems and Behavioral Neuroscience, having authored 41 papers that have together received 1.5k indexed citations. Recurring topics across this work include Growth Hormone and Insulin-like Growth Factors (21 papers), Pituitary Gland Disorders and Treatments (16 papers), Neuropeptides and Animal Physiology (4 papers), Coagulation, Bradykinin, Polyphosphates, and Angioedema (3 papers), Hypothalamic control of reproductive hormones (3 papers), Glycosylation and Glycoproteins Research (2 papers), Myasthenia Gravis and Thymoma (2 papers) and Neuroendocrine Tumor Research Advances (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (962 citations), Reproductive Medicine (137 citations), Behavioral Neuroscience (52 citations), Genetics (120 citations) and Cellular and Molecular Neuroscience (185 citations). G. Giannattasio has collaborated with scholars based in Italy, United States and Czechia. Frequent co-authors include Lucia Vallar, A. Spada, Anna Spada, M. Bassetti, A Zanini, Jacopo Meldolesi, G. Faglia, S. Nicosia, Maria Elisabetta De Ferrari and Maura Arosio. Their work appears in journals such as Endocrinology, The Journal of Clinical Endocrinology & Metabolism, The Journal of Cell Biology, Annals of Allergy Asthma & Immunology and FEBS Letters.

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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