Daniela Piani
Impact in
- Neurology top 1%
- Neuroinflammation and Neurodegeneration Mechanisms
- Developmental Neuroscience top 5%
- Neurogenesis and neuroplasticity mechanisms
Papers in
-
- S100 Proteins and Annexins 2
- Medicinal Plants and Bioactive Compounds 1
-
- Neuroinflammation and Neurodegeneration Mechanisms 5
- Co-authors
- A. Fontana (8 shared papers)Karl Frei (8 shared papers)Andréia C. K. Fontana (1 shared paper)Michel Cuénod (1 shared paper)Kim Q. (1 shared paper)Matthias Spranger (1 shared paper)Andreas Schaffner (1 shared paper)H.-W. Pfister (1 shared paper)
- Journals
- The Journal of Immunology (2 papers)Journal of Neuroimmunology (1 paper)Seminars in Neuroscience (1 paper)Physiology (1 paper)Multiple Sclerosis Journal (1 paper)
- Partner nations
- SwitzerlandGermany
In The Last Decade
Daniela Piani
10 papers receiving 963 citations
Peers
Comparison fields: 5 of 68
- Neurology 510
- Developmental Neuroscience 134
- Biological Psychiatry 72
- Cellular and Molecular Neuroscience 386
- Virology 48
Countries citing papers authored by Daniela Piani
This map shows the geographic impact of Daniela Piani'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 Piani with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniela Piani more than expected).
Fields of papers citing papers by Daniela Piani
This network shows the impact of papers produced by Daniela Piani. 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 Piani. The network helps show where Daniela Piani may publish in the future.
Co-authors
The 17 scholars most cited alongside Daniela Piani, 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 | 1991 | 359 | |
| 2 | 1994 | 233 | |
| 3 | 1992 | 219 | |
| 4 | 1993 | 67 | |
| 5 | 1992 | 53 | |
| 6 | 1993 | 25 | |
| 7 | 1994 | 16 | |
| 8 | Microglia and tumor rejection. | 1994 | 9 |
| 9 | 1992 | 6 | |
| 10 | Oral fingolimod (FTY720) therapy reduces blood brain barrier breakdown, microglial activation, and leukocyte recruitment in a focal DTH model of multiple sclerosis | 2009 | 1 |
About Daniela Piani
Daniela Piani is a scholar working on Molecular Biology, Neurology, Cellular and Molecular Neuroscience, Immunology and Genetics, having authored 10 papers that have together received 988 indexed citations. Recurring topics across this work include Neuroinflammation and Neurodegeneration Mechanisms (5 papers), Neuroscience and Neuropharmacology Research (3 papers), Alzheimer's disease research and treatments (2 papers), S100 Proteins and Annexins (2 papers), Glioma Diagnosis and Treatment (2 papers), Immune cells in cancer (2 papers), Anesthesia and Neurotoxicity Research (2 papers) and Medicinal Plants and Bioactive Compounds (1 paper). The work is most often cited by research in Neurology (510 citations), Developmental Neuroscience (134 citations), Biological Psychiatry (72 citations), Cellular and Molecular Neuroscience (386 citations) and Virology (48 citations). Daniela Piani has collaborated with scholars based in Switzerland and Germany. Frequent co-authors include A. Fontana, Karl Frei, Andréia C. K. Fontana, Michel Cuénod, Kim Q., Matthias Spranger, Andreas Schaffner, H.-W. Pfister, Ursula Malipiero and Erwin G. Van Meir. Their work appears in journals such as The Journal of Immunology, Journal of Neuroimmunology, Seminars in Neuroscience, Physiology and Multiple Sclerosis Journal.
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.