Angela Peron

1.9k citations
54 papers · 859 · h-index 18

Impact in

  • Physiology top 5%
    • Tuberous Sclerosis Complex Research
    • Histiocytic Disorders and Treatments
  • Genetics top 10%
    • Genetics and Neurodevelopmental Disorders
    • Genomic variations and chromosomal abnormalities
    • Genomics and Rare Diseases

Papers in

    • Tuberous Sclerosis Complex Research 21
    • Histiocytic Disorders and Treatments 4
    • Genetics and Neurodevelopmental Disorders 12
    • Genomic variations and chromosomal abnormalities 7
    • Genomics and Rare Diseases 4

Angela Peron

52 papers receiving 834 citations

Peers

Angela Peron
Comparison fields: 5 of 71
  • Physiology 355
  • Genetics 308
  • Psychiatry and Mental health 101
  • Cognitive Neuroscience 92
  • Oncology 83
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Citations per field
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Citations per year

Countries citing papers authored by Angela Peron

Since Specialization
Citations

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

Fields of papers citing papers by Angela Peron

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 54 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201567
2 201866
3 201863
4 201638
5 201831
6 201230
7 201829
8 201627
9 201127
10 201327
11 201827
12 201625
13 201925
14 201825
15 201323
16 201723
17 202020
18 201619
19 202017
20 201717

About Angela Peron

Angela Peron is a scholar working on Physiology, Genetics, Molecular Biology, Psychiatry and Mental health and Genetics, having authored 54 papers that have together received 859 indexed citations. Recurring topics across this work include Tuberous Sclerosis Complex Research (21 papers), Genetics and Neurodevelopmental Disorders (12 papers), Genomic variations and chromosomal abnormalities (7 papers), Polyomavirus and related diseases (6 papers), Epilepsy research and treatment (6 papers), Neuroscience and Neuropharmacology Research (4 papers), Histiocytic Disorders and Treatments (4 papers) and Genomics and Rare Diseases (4 papers). The work is most often cited by research in Physiology (355 citations), Genetics (308 citations), Psychiatry and Mental health (101 citations), Cognitive Neuroscience (92 citations) and Oncology (83 citations). Angela Peron has collaborated with scholars based in Italy, United States and United Kingdom. Frequent co-authors include Aglaia Vignoli, Maria Paola Canevini, Francesca La Briola, Hope Northrup, Katherine Turner, Kit Sing Au, Filippo Ghelma, Elena Zambrelli, Katarzyna Kotulska and Massimo Mastrangelo. Their work appears in journals such as American Journal of Medical Genetics Part C Seminars in Medical Genetics, Epilepsy & Behavior, International Journal of Molecular Sciences, Orphanet Journal of Rare Diseases and European Journal of Medical Genetics.

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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