Daniela Calini
Impact in
- Neurology top 10%
- Amyotrophic Lateral Sclerosis Research
- Parkinson's Disease Mechanisms and Treatments
- Neuroinflammation and Neurodegeneration Mechanisms
Papers in
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- Single-cell and spatial transcriptomics 5
- Extracellular vesicles in disease 2
-
- Amyotrophic Lateral Sclerosis Research 5
- Parkinson's Disease Mechanisms and Treatments 4
- Neurological diseases and metabolism 3
- Neuroinflammation and Neurodegeneration Mechanisms 2
- Co-authors
- Dheeraj Malhotra (6 shared papers)Mark D. Robinson (2 shared papers)Helena L. Crowell (2 shared papers)Charlotte Soneson (2 shared papers)Catarina Raposo (2 shared papers)Ludovic Collin (1 shared paper)Pierre‐Luc Germain (1 shared paper)Vincenzo Silani (5 shared papers)
- Journals
- Nature Communications (2 papers)Neurobiology of Aging (2 papers)Neurodegenerative Diseases (1 paper)Amyotrophic Lateral Sclerosis and Frontotemporal Degeneration (1 paper)Frontiers in Aging Neuroscience (1 paper)
- Partner nations
- SwitzerlandUnited StatesItaly
In The Last Decade
Daniela Calini
11 papers receiving 602 citations
Peers
Comparison fields: 5 of 81
- Neurology 186
- Neurology 84
- Developmental Neuroscience 26
- Genetics 66
- Molecular Biology 309
Countries citing papers authored by Daniela Calini
This map shows the geographic impact of Daniela Calini'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 Daniela Calini with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniela Calini more than expected).
Fields of papers citing papers by Daniela Calini
This network shows the impact of papers produced by Daniela Calini. 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 Daniela Calini. The network helps show where Daniela Calini may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniela Calini, 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 | 2020 | 208 | |
| 2 | 2016 | 131 | |
| 3 | 2022 | 106 | |
| 4 | 2022 | 48 | |
| 5 | 2013 | 26 | |
| 6 | 2021 | 23 | |
| 7 | 2018 | 23 | |
| 8 | 2013 | 22 | |
| 9 | 2023 | 8 | |
| 10 | 2022 | 5 | |
| 11 | 2021 | 3 | |
| 12 | 2025 | 0 |
About Daniela Calini
Daniela Calini is a scholar working on Molecular Biology, Neurology, Neurology, Pharmacology and Pathology and Forensic Medicine, having authored 12 papers that have together received 603 indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (5 papers), Amyotrophic Lateral Sclerosis Research (5 papers), Parkinson's Disease Mechanisms and Treatments (4 papers), Neurological diseases and metabolism (3 papers), Neuroinflammation and Neurodegeneration Mechanisms (2 papers), Extracellular vesicles in disease (2 papers), Genetic Associations and Epidemiology (1 paper) and Cell Image Analysis Techniques (1 paper). The work is most often cited by research in Neurology (186 citations), Neurology (84 citations), Developmental Neuroscience (26 citations), Genetics (66 citations) and Molecular Biology (309 citations). Daniela Calini has collaborated with scholars based in Switzerland, United States and Italy. Frequent co-authors include Dheeraj Malhotra, Mark D. Robinson, Helena L. Crowell, Charlotte Soneson, Catarina Raposo, Ludovic Collin, Pierre‐Luc Germain, Vincenzo Silani, Nicola Ticozzi and Antonia Ratti. Their work appears in journals such as Nature Communications, Neurobiology of Aging, Neurodegenerative Diseases, Amyotrophic Lateral Sclerosis and Frontotemporal Degeneration and Frontiers in Aging Neuroscience.
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.