Roberto Perniola

1.7k citations
22 papers · 454 · h-index 14

Impact in

Papers in

    • Adrenal Hormones and Disorders 14
    • Hormonal Regulation and Hypertension 6
    • Thyroid Disorders and Treatments 3
    • Diabetes and associated disorders 8
    • Hemoglobinopathies and Related Disorders 2

Roberto Perniola

21 papers receiving 440 citations

Peers

Roberto Perniola
Comparison fields: 5 of 64
  • Endocrinology, Diabetes and Metabolism 278
  • Immunology 120
  • Genetics 153
  • Neurology 60
  • Gastroenterology 15
Replace Eirik Bratland with:
Eirik Bratland Norway
Sabine J. M. Willemen Netherlands
Marie-Catherine Tessier Canada
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Iria Gómez-Touriño Spain
Chul‐Woo Pyo United States
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Citations per field
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Citations per year

Countries citing papers authored by Roberto Perniola

Since Specialization
Citations

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

Fields of papers citing papers by Roberto Perniola

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Roberto Perniola, 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 Roberto Perniola Line = papers co-authored together Roberto Perniola 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 201875
2 200068
3 200266
4 201334
5 200629
6 200522
7 201520
8 200519
9 199818
10 201617
11 201016
12 199914
13 202114
14 201214
15 20007
16 20085
17
Delineation of the molecular defects in the AIRE gene in APECED patients from Southern Italy
20024
18 20144
19 20074
20
A severe case of Yersinia enterocolitica infection in a thalassemic patient.
19972

About Roberto Perniola

Roberto Perniola is a scholar working on Endocrinology, Diabetes and Metabolism, Genetics, Immunology, Genetics and Neurology, having authored 22 papers that have together received 454 indexed citations. Recurring topics across this work include Adrenal Hormones and Disorders (14 papers), Diabetes and associated disorders (8 papers), Hormonal Regulation and Hypertension (6 papers), Thyroid Disorders and Treatments (3 papers), T-cell and B-cell Immunology (3 papers), Systemic Lupus Erythematosus Research (3 papers), Hemoglobinopathies and Related Disorders (2 papers) and Iron Metabolism and Disorders (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (278 citations), Immunology (120 citations), Genetics (153 citations), Neurology (60 citations) and Gastroenterology (15 citations). Roberto Perniola has collaborated with scholars based in Italy, Poland and Sweden. Frequent co-authors include Maria Cristina Rosatelli, Giambattista Lobreglio, Giovanna Musco, Esterita Accogli, Alberto Falorni, Alessandra Meloni, Antonio Cao, Maria Grazia Clemente, V. Faà and A Falorni. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, Frontiers in Immunology, European Journal of Endocrinology, Annals of the Rheumatic Diseases and Frontiers of hormone 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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