Daniela Calini
Impact in
- Neurology top 5%
- Amyotrophic Lateral Sclerosis Research
- Neuroinflammation and Neurodegeneration Mechanisms
- Parkinson's Disease Mechanisms and Treatments
Papers in
-
- Single-cell and spatial transcriptomics 5
- Extracellular vesicles in disease 2
-
- Amyotrophic Lateral Sclerosis Research 4
- Neurological diseases and metabolism 3
- Parkinson's Disease Mechanisms and Treatments 3
- Neuroinflammation and Neurodegeneration Mechanisms 2
- Co-authors
- Dheeraj Malhotra (6 shared papers)Helena L. Crowell (2 shared papers)Charlotte Soneson (2 shared papers)Mark D. Robinson (2 shared papers)Catarina Raposo (2 shared papers)Ludovic Collin (1 shared paper)Pierre‐Luc Germain (1 shared paper)Nicola Ticozzi (5 shared papers)
- Journals
- Neurobiology of Aging (2 papers)Nature Communications (2 papers)Frontiers in Aging Neuroscience (1 paper)Frontiers in Cellular Neuroscience (1 paper)Cell Reports Methods (1 paper)
- Partner nations
- SwitzerlandUnited StatesItaly
In The Last Decade
Daniela Calini
12 papers receiving 649 citations
Peers
Comparison fields: 5 of 79
- Neurology 183
- Neurology 78
- Developmental Neuroscience 26
- Biological Psychiatry 11
- Molecular Biology 305
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 | 216 | |
| 2 | 2016 | 137 | |
| 3 | 2022 | 124 | |
| 4 | 2022 | 52 | |
| 5 | 2018 | 27 | |
| 6 | 2013 | 27 | |
| 7 | 2021 | 25 | |
| 8 | 2013 | 22 | |
| 9 | 2023 | 8 | |
| 10 | 2021 | 5 | |
| 11 | 2022 | 5 | |
| 12 | 2025 | 2 |
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 650 indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (5 papers), Amyotrophic Lateral Sclerosis Research (4 papers), Neurological diseases and metabolism (3 papers), Parkinson's Disease Mechanisms and Treatments (3 papers), Neuroinflammation and Neurodegeneration Mechanisms (2 papers), Extracellular vesicles in disease (2 papers), Neurogenesis and neuroplasticity mechanisms (1 paper) and Genetic Syndromes and Imprinting (1 paper). The work is most often cited by research in Neurology (183 citations), Neurology (78 citations), Developmental Neuroscience (26 citations), Biological Psychiatry (11 citations) and Molecular Biology (305 citations). Daniela Calini has collaborated with scholars based in Switzerland, United States and Italy. Frequent co-authors include Dheeraj Malhotra, Helena L. Crowell, Charlotte Soneson, Mark D. Robinson, Catarina Raposo, Ludovic Collin, Pierre‐Luc Germain, Nicola Ticozzi, Vincenzo Silani and Antonia Ratti. Their work appears in journals such as Neurobiology of Aging, Nature Communications, Frontiers in Aging Neuroscience, Frontiers in Cellular Neuroscience and Cell Reports Methods.
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.