P. P. Rovasio

402 total citations
27 papers, 289 citations indexed

About

P. P. Rovasio is a scholar working on Endocrinology, Diabetes and Metabolism, Reproductive Medicine and Genetics. According to data from OpenAlex, P. P. Rovasio has authored 27 papers receiving a total of 289 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Endocrinology, Diabetes and Metabolism, 6 papers in Reproductive Medicine and 4 papers in Genetics. Recurrent topics in P. P. Rovasio's work include Growth Hormone and Insulin-like Growth Factors (8 papers), Pituitary Gland Disorders and Treatments (5 papers) and Hormonal and reproductive studies (4 papers). P. P. Rovasio is often cited by papers focused on Growth Hormone and Insulin-like Growth Factors (8 papers), Pituitary Gland Disorders and Treatments (5 papers) and Hormonal and reproductive studies (4 papers). P. P. Rovasio collaborates with scholars based in Italy. P. P. Rovasio's co-authors include Antonio Masala, S Alagna, L Devilla, S.P.G. Rassu, Giuseppe Delitala, Tullio Meloni, D. Gallisai, Anna Franca Milia, Maria Laura Cossu and G Lotti and has published in prestigious journals such as The Journal of Clinical Endocrinology & Metabolism, Fertility and Sterility and Metabolism.

In The Last Decade

P. P. Rovasio

27 papers receiving 270 citations

Peers

P. P. Rovasio
Comparison fields: 5 of 51
  • Endocrinology, Diabetes and Metabolism 118
  • Genetics 85
  • Surgery 57
  • Hematology 49
  • Pediatrics, Perinatology and Child Health 44
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D Jackson United Kingdom
Jose Gonzalez Venezuela
D. Longson United Kingdom
M Benmiloud Algeria
I. R. Wallace United Kingdom
T Delangre France
G Aimaretti Italy
Brian Kellert United States
M. Sauer Germany
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Citations per field, relative to P. P. Rovasio
P. P. Rovasio · 1×
Citations per year, relative to P. P. Rovasio
P. P. Rovasio · 1×

Countries citing papers authored by P. P. Rovasio

Since Specialization
Citations

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

Fields of papers citing papers by P. P. Rovasio

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of P. P. Rovasio

This figure shows the co-authorship network connecting the top 25 collaborators of P. P. Rovasio. A scholar is included among the top collaborators of P. P. Rovasio based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with P. P. Rovasio. P. P. Rovasio is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 29
2 11
3 15
4 10
5 13
6
Parathyroid function and bone metabolism in children with beta thalassaemia major: effects of sex steroid treatment.
4
7 11
8 3
9 2
10 19
11 58
12 10
13 4
14 13
15 4
16 5
17 20
18 13
19 2
20 5

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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