G. Giannattasio

1.9k citations
41 papers · 1.4k · h-index 22

Impact in

Papers in

G. Giannattasio

39 papers receiving 1.4k citations

Peers

G. Giannattasio
Comparison fields: 5 of 74
  • Endocrinology, Diabetes and Metabolism 939
  • Reproductive Medicine 126
  • Behavioral Neuroscience 49
  • Genetics 103
  • Cellular and Molecular Neuroscience 183
Replace F Peillon with:
F Peillon France
Alain Barret France
Lesley Tannahill United Kingdom
Kathleen A. Elias United States
J Racadot France
Naoya Emoto Japan
Ian Ocrant United States
Junji Iwasaki Japan
J. F. Bruno United States
Maria Silvia Giretti Italy
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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-authors

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

Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1987403
2 198690
3 198177
4 198672
5 198470
6 198455
7 198355
8 197554
9 198048
10 198548
11 199033
12 198231
13 198228
14 198728
15 197628
16 198226
17 198025
18 198524
19 198324
20 198021

About G. Giannattasio

G. Giannattasio is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology, Genetics, Surgery and Cellular and Molecular Neuroscience, having authored 41 papers that have together received 1.4k 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), Hypothalamic control of reproductive hormones (3 papers), Coagulation, Bradykinin, Polyphosphates, and Angioedema (3 papers), Glioma Diagnosis and Treatment (2 papers), Glycosylation and Glycoproteins Research (2 papers) and Neuroblastoma Research and Treatments (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (939 citations), Reproductive Medicine (126 citations), Behavioral Neuroscience (49 citations), Genetics (103 citations) and Cellular and Molecular Neuroscience (183 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 The Journal of Clinical Endocrinology & Metabolism, Endocrinology, The Journal of Cell Biology, Annals of Allergy Asthma & Immunology and Peptides.

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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