Laura Gasparini
- Physiology top 0.5%
- Molecular Biology top 5%
- Cellular and Molecular Neuroscience top 2%
- Neurology top 1%
- Pharmacology top 2%
- Co-authors
- Huaxi XuEnnio OnginiRong WangGary L. WenkMaria Grazia SpillantiniM. Flint BealPaul GreengardAndrea Contestabile
- Topics
- Alzheimer's disease research and treatments (40 papers)Neuroscience and Neuropharmacology Research (14 papers)Neuroinflammation and Neurodegeneration Mechanisms (12 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryJournal of Clinical Investigation
- Partner nations
- ItalyUnited StatesUnited Kingdom
In The Last Decade
Laura Gasparini
65 papers receiving 3.9k citations
Peers
Comparison fields: 5 of 128
- Physiology 2.1k
- Molecular Biology 1.7k
- Cellular and Molecular Neuroscience 720
- Neurology 597
- Pharmacology 551
Countries citing papers authored by Laura Gasparini
This map shows the geographic impact of Laura Gasparini'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 Laura Gasparini with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Laura Gasparini more than expected).
Fields of papers citing papers by Laura Gasparini
This network shows the impact of papers produced by Laura Gasparini. 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 Laura Gasparini. The network helps show where Laura Gasparini may publish in the future.
Co-authorship network of co-authors of Laura Gasparini
This figure shows the co-authorship network connecting the top 25 collaborators of Laura Gasparini. A scholar is included among the top collaborators of Laura Gasparini based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Laura Gasparini. Laura Gasparini is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 9 | |
| 2 | 7 | |
| 3 | 17 | |
| 4 | 17 | |
| 5 | 102 | |
| 6 | 31 | |
| 7 | 31 | |
| 8 | 21 | |
| 9 | 129 | |
| 10 | 97 | |
| 11 | 67 | |
| 12 | 104 | |
| 13 | 143 | |
| 14 | 9 | |
| 15 | 417 | |
| 16 | 2 | |
| 17 | 147 | |
| 18 | 27 | |
| 19 | 79 | |
| 20 | 31 |
About Laura Gasparini
Laura Gasparini is a scholar working on Neurology, Physiology and Cellular and Molecular Neuroscience, having authored 66 papers that have together received 3.9k indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (40 papers), Neuroscience and Neuropharmacology Research (14 papers) and Neuroinflammation and Neurodegeneration Mechanisms (12 papers). The work is most often cited by research in Physiology (2.1k citations), Neurology (597 citations) and Biological Psychiatry (180 citations). Laura Gasparini has collaborated with scholars based in Italy, United States and United Kingdom. Frequent co-authors include Huaxi Xu, Ennio Ongini, Rong Wang, Gary L. Wenk, Maria Grazia Spillantini, M. Flint Beal, Paul Greengard, Andrea Contestabile, Gunnar K. Gouras and Rachel S. Gross. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Clinical Investigation.
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.