Luca Capocci
Impact in
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- Tryptophan and brain disorders
- Neurology top 10%
- Barrier Structure and Function Studies
- Neuroinflammation and Neurodegeneration Mechanisms
- Neurological disorders and treatments
Papers in
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- Mitochondrial Function and Pathology 8
- Sphingolipid Metabolism and Signaling 3
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- Genetic Neurodegenerative Diseases 11
- Co-authors
- Alba Di Pardo (18 shared papers)Vittorio Maglione (18 shared papers)Salvatore Castaldo (9 shared papers)Giuseppe Pepe (14 shared papers)Enrico Amico (9 shared papers)Michele Madonna (6 shared papers)Federico Marracino (10 shared papers)Francesca Elifani (3 shared papers)
- Journals
- International Journal of Molecular Sciences (3 papers)Scientific Reports (2 papers)Human Molecular Genetics (2 papers)Journal of Visualized Experiments (2 papers)Molecular Therapy (1 paper)
- Partner nations
- ItalyGermanyUnited States
In The Last Decade
Luca Capocci
19 papers receiving 346 citations
Peers
Comparison fields: 5 of 69
- Biological Psychiatry 29
- Neurology 64
- Cellular and Molecular Neuroscience 113
- Behavioral Neuroscience 13
- Cell Biology 56
Countries citing papers authored by Luca Capocci
This map shows the geographic impact of Luca Capocci'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 Luca Capocci with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Luca Capocci more than expected).
Fields of papers citing papers by Luca Capocci
This network shows the impact of papers produced by Luca Capocci. 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 Luca Capocci. The network helps show where Luca Capocci may publish in the future.
Co-authors
The 25 scholars most cited alongside Luca Capocci, 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 | 2017 | 82 | |
| 2 | 2018 | 41 | |
| 3 | 2019 | 40 | |
| 4 | 2017 | 33 | |
| 5 | 2016 | 33 | |
| 6 | 2019 | 31 | |
| 7 | 2017 | 13 | |
| 8 | 2022 | 12 | |
| 9 | 2022 | 12 | |
| 10 | 2020 | 9 | |
| 11 | 2023 | 9 | |
| 12 | 2021 | 9 | |
| 13 | 2017 | 6 | |
| 14 | 2016 | 5 | |
| 15 | 2018 | 5 | |
| 16 | 2023 | 3 | |
| 17 | 2017 | 3 | |
| 18 | 2023 | 1 | |
| 19 | 2022 | 1 | |
| 20 | 2021 | 0 |
About Luca Capocci
Luca Capocci is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Cell Biology, Neurology and Neurology, having authored 20 papers that have together received 348 indexed citations. Recurring topics across this work include Genetic Neurodegenerative Diseases (11 papers), Mitochondrial Function and Pathology (8 papers), Endoplasmic Reticulum Stress and Disease (4 papers), Sphingolipid Metabolism and Signaling (3 papers), Advanced Neuroimaging Techniques and Applications (2 papers), Adipose Tissue and Metabolism (2 papers), Neurological disorders and treatments (2 papers) and Neurological diseases and metabolism (2 papers). The work is most often cited by research in Biological Psychiatry (29 citations), Neurology (64 citations), Cellular and Molecular Neuroscience (113 citations), Behavioral Neuroscience (13 citations) and Cell Biology (56 citations). Luca Capocci has collaborated with scholars based in Italy, Germany and United States. Frequent co-authors include Alba Di Pardo, Vittorio Maglione, Salvatore Castaldo, Giuseppe Pepe, Enrico Amico, Michele Madonna, Federico Marracino, Francesca Elifani, Stefania Filosa and Stefania Crispi. Their work appears in journals such as International Journal of Molecular Sciences, Scientific Reports, Human Molecular Genetics, Journal of Visualized Experiments and Molecular Therapy.
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.