Filippo M. Santorelli
- Clinical Biochemistry top 0.05%
- Metabolism and Genetic Disorders 96
- Cellular and Molecular Neuroscience top 0.5%
- Genetic Neurodegenerative Diseases 108
- Hereditary Neurological Disorders 102
- Neurology top 0.5%
- Neurological diseases and metabolism 62
- Molecular Biology top 0.5%
- Mitochondrial Function and Pathology 203
- ATP Synthase and ATPases Research 68
- Genetics top 1%
- Neurogenetic and Muscular Disorders Research 36
-
- Lysosomal Storage Disorders Research 39
- Co-authors
- Enrico BertiniS. DiMauroAlessandra TessaSara ShanskeRosalba CarrozzoCarlo Dionisi‐ViciCarlo CasaliFiorella Piemonte
- Journals
- Journal of Biological Chemistry (1 paper)Journal of the American College of Cardiology (2 papers)PLoS ONE (3 papers)
- Partner nations
- ItalyUnited StatesUnited Kingdom
In The Last Decade
Filippo M. Santorelli
494 papers receiving 12.2k citations
Peers
Comparison fields: 5 of 144
- Clinical Biochemistry 3.0k
- Cellular and Molecular Neuroscience 3.2k
- Neurology 1.5k
- Molecular Biology 8.1k
- Genetics 972
Countries citing papers authored by Filippo M. Santorelli
This map shows the geographic impact of Filippo M. Santorelli'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 Filippo M. Santorelli with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Filippo M. Santorelli more than expected).
Fields of papers citing papers by Filippo M. Santorelli
This network shows the impact of papers produced by Filippo M. Santorelli. 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 Filippo M. Santorelli. The network helps show where Filippo M. Santorelli may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Filippo M. Santorelli, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 0 | |
| 4 | 2024 | 3 | |
| 5 | 2024 | 1 | |
| 6 | 2024 | 1 | |
| 7 | 2024 | 0 | |
| 8 | 2024 | 2 | |
| 9 | 2023 | 3 | |
| 10 | 2023 | 2 | |
| 11 | 2023 | 6 | |
| 12 | 2022 | 8 | |
| 13 | 2022 | 18 | |
| 14 | 2021 | 18 | |
| 15 | 2021 | 7 | |
| 16 | 2021 | 3 | |
| 17 | 2020 | 4 | |
| 18 | 2019 | 18 | |
| 19 | 2009 | 70 | |
| 20 | The mitochondrial A3243G mutation in maternally inherited migraine without aura. | 1999 | 1 |
About Filippo M. Santorelli
Filippo M. Santorelli is a scholar working on Clinical Biochemistry, Cellular and Molecular Neuroscience and Neurology, having authored 526 papers that have together received 12.5k indexed citations. Recurring topics across this work include Mitochondrial Function and Pathology (203 papers), Genetic Neurodegenerative Diseases (108 papers), Hereditary Neurological Disorders (102 papers), Metabolism and Genetic Disorders (96 papers), ATP Synthase and ATPases Research (68 papers), Neurological diseases and metabolism (62 papers), Lysosomal Storage Disorders Research (39 papers) and Neurogenetic and Muscular Disorders Research (36 papers). The work is most often cited by research in Clinical Biochemistry (3.0k citations), Cellular and Molecular Neuroscience (3.2k citations) and Neurology (1.5k citations). Filippo M. Santorelli has collaborated with scholars based in Italy, United States and United Kingdom. Frequent co-authors include Enrico Bertini, S. DiMauro, Alessandra Tessa, Sara Shanske, Rosalba Carrozzo, Carlo Dionisi‐Vici, Carlo Casali, Fiorella Piemonte, Hermann Schägger and Laura Vilarinho. Their work appears in journals such as Journal of Biological Chemistry, Journal of the American College of Cardiology and PLoS ONE.
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.