Antonio Uccelli
Impact in
- Genetics top 0.02%
- Mesenchymal stem cell research
- Developmental Neuroscience top 0.2%
- Neurogenesis and neuroplasticity mechanisms
Papers in
-
- Multiple Sclerosis Research Studies 88
-
- Neurogenesis and neuroplasticity mechanisms 19
- Co-authors
- Vito PistoiaLorenzo MorettaGianluigi MancardiFederica BenvenutoDebora GiuntiAlice LaroniNicole Kerlero de RosboFrancesco Frassoni
- Journals
- Multiple Sclerosis Journal (16 papers)Journal of Neuroimmunology (9 papers)Neurological Sciences (9 papers)European Journal of Neurology (8 papers)Neurology (8 papers)
- Partner nations
- ItalyUnited StatesUnited Kingdom
In The Last Decade
Antonio Uccelli
222 papers receiving 16.3k citations
Hit Papers
Peers
Comparison fields: 5 of 168
- Genetics 7.5k
- Developmental Neuroscience 1.5k
- Neurology 1.6k
- Pathology and Forensic Medicine 3.4k
- Immunology 3.8k
Countries citing papers authored by Antonio Uccelli
This map shows the geographic impact of Antonio Uccelli'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 Antonio Uccelli with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Antonio Uccelli more than expected).
Fields of papers citing papers by Antonio Uccelli
This network shows the impact of papers produced by Antonio Uccelli. 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 Antonio Uccelli. The network helps show where Antonio Uccelli may publish in the future.
Co-authors
The 25 scholars most cited alongside Antonio Uccelli, 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 | 1 | |
| 2 | 2025 | 1 | |
| 3 | 2025 | 0 | |
| 4 | 2025 | 1 | |
| 5 | 2025 | 0 | |
| 6 | 2025 | 0 | |
| 7 | 2024 | 2 | |
| 8 | 2024 | 0 | |
| 9 | 2023 | 4 | |
| 10 | 2022 | 4 | |
| 11 | 2022 | 0 | |
| 12 | 2020 | 6 | |
| 13 | 2020 | 8 | |
| 14 | 2020 | 6 | |
| 15 | 2020 | 25 | |
| 16 | 2019 | 3 | |
| 17 | 2019 | 10 | |
| 18 | Sys4MS: Multiple sclerosis genetic burden score in a systems biology study of MS patients from four countries | 2019 | 1 |
| 19 | 2016 | 20 | |
| 20 | 2008 | 130 |
About Antonio Uccelli
Antonio Uccelli is a scholar working on Pathology and Forensic Medicine, Developmental Neuroscience, Genetics, Neurology and Neurology, having authored 236 papers that have together received 16.7k indexed citations. Recurring topics across this work include Multiple Sclerosis Research Studies (88 papers), Mesenchymal stem cell research (44 papers), Peripheral Neuropathies and Disorders (32 papers), T-cell and B-cell Immunology (24 papers), Immunotherapy and Immune Responses (24 papers), Neuroinflammation and Neurodegeneration Mechanisms (22 papers), Neurogenesis and neuroplasticity mechanisms (19 papers) and Immune Cell Function and Interaction (14 papers). The work is most often cited by research in Genetics (7.5k citations), Developmental Neuroscience (1.5k citations), Neurology (1.6k citations), Pathology and Forensic Medicine (3.4k citations) and Immunology (3.8k citations). Antonio Uccelli has collaborated with scholars based in Italy, United States and United Kingdom. Frequent co-authors include Vito Pistoia, Lorenzo Moretta, Gianluigi Mancardi, Federica Benvenuto, Debora Giunti, Alice Laroni, Nicole Kerlero de Rosbo, Francesco Frassoni, Simona Casazza and Francesca Gualandi. Their work appears in journals such as Multiple Sclerosis Journal, Journal of Neuroimmunology, Neurological Sciences, European Journal of Neurology and Neurology.
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.