Angela Berardinelli
- Molecular Biology top 10%
- Cellular and Molecular Neuroscience top 5%
- Cardiology and Cardiovascular Medicine top 10%
- Physiology top 10%
- Neurology top 5%
- Co-authors
- Simona OrcesiAnna PichiecchioEugenio MercuriGiovanni LanziMassimo ZevianiC. AngeliniLucia ValenteValeria Tiranti
- Topics
- Muscle Physiology and Disorders (36 papers)Neurogenetic and Muscular Disorders Research (11 papers)Mitochondrial Function and Pathology (10 papers)
- Partner nations
- ItalyUnited KingdomUnited States
In The Last Decade
Angela Berardinelli
67 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 95
- Molecular Biology 1.2k
- Cellular and Molecular Neuroscience 333
- Cardiology and Cardiovascular Medicine 289
- Physiology 279
- Neurology 273
Countries citing papers authored by Angela Berardinelli
This map shows the geographic impact of Angela Berardinelli'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 Berardinelli with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Angela Berardinelli more than expected).
Fields of papers citing papers by Angela Berardinelli
This network shows the impact of papers produced by Angela Berardinelli. 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 Berardinelli. The network helps show where Angela Berardinelli may publish in the future.
Co-authorship network of co-authors of Angela Berardinelli
This figure shows the co-authorship network connecting the top 25 collaborators of Angela Berardinelli. A scholar is included among the top collaborators of Angela Berardinelli 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 Angela Berardinelli. Angela Berardinelli is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 2 | |
| 4 | 2 | |
| 5 | 2 | |
| 6 | 2 | |
| 7 | 11 | |
| 8 | 10 | |
| 9 | 6 | |
| 10 | 8 | |
| 11 | 7 | |
| 12 | 45 | |
| 13 | 59 | |
| 14 | 35 | |
| 15 | 103 | |
| 16 | 1 | |
| 17 | 125 | |
| 18 | 41 | |
| 19 | 14 | |
| 20 | Clinical and neurophysiological study in diabetic children and adolescents. | 10 |
About Angela Berardinelli
Angela Berardinelli is a scholar working on Genetics, Clinical Biochemistry and Health Informatics, having authored 70 papers that have together received 1.8k indexed citations. Recurring topics across this work include Muscle Physiology and Disorders (36 papers), Neurogenetic and Muscular Disorders Research (11 papers) and Mitochondrial Function and Pathology (10 papers). The work is most often cited by research in Genetics (272 citations), Cellular and Molecular Neuroscience (333 citations) and Neurology (273 citations). Angela Berardinelli has collaborated with scholars based in Italy, United Kingdom and United States. Frequent co-authors include Simona Orcesi, Anna Pichiecchio, Eugenio Mercuri, Giovanni Lanzi, Massimo Zeviani, C. Angelini, Lucia Valente, Valeria Tiranti, Erika Fernández‐Vizarra and Francesco Fanfulla. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Brain.
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.