Francesca Fagiani
- Molecular Biology
- Infectious Diseases top 5%
- Physiology top 10%
- Neurology top 10%
- Endocrine and Autonomic Systems top 5%
- Co-authors
- Cristina LanniStefano GovoniMarco RacchiMichele CatanzaroEmanuela CorsiniDaniele Di MarinoCristina TravelliAlice Romagnoli
- Topics
- Alzheimer's disease research and treatments (6 papers)Neuroinflammation and Neurodegeneration Mechanisms (4 papers)Neuroscience and Neuropharmacology Research (4 papers)
- Partner nations
- ItalyUnited StatesUnited Kingdom
In The Last Decade
Francesca Fagiani
27 papers receiving 1.2k citations
Hit Papers
Peers
Comparison fields: 5 of 112
- Molecular Biology 390
- Infectious Diseases 329
- Physiology 249
- Neurology 194
- Endocrine and Autonomic Systems 184
Countries citing papers authored by Francesca Fagiani
This map shows the geographic impact of Francesca Fagiani'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 Francesca Fagiani with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Francesca Fagiani more than expected).
Fields of papers citing papers by Francesca Fagiani
This network shows the impact of papers produced by Francesca Fagiani. 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 Francesca Fagiani. The network helps show where Francesca Fagiani may publish in the future.
Co-authorship network of co-authors of Francesca Fagiani
This figure shows the co-authorship network connecting the top 25 collaborators of Francesca Fagiani. A scholar is included among the top collaborators of Francesca Fagiani 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 Francesca Fagiani. Francesca Fagiani is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 8 | |
| 3 | 9 | |
| 4 | 2 | |
| 5 | 11 | |
| 6 | 1 | |
| 7 | 1 | |
| 8 | 13 | |
| 9 | Molecular regulations of circadian rhythm and implications for physiology and diseasesbreakdown → | 237 |
| 10 | 2 | |
| 11 | 26 | |
| 12 | 48 | |
| 13 | 6 | |
| 14 | 31 | |
| 15 | Immune response in COVID-19: addressing a pharmacological challenge by targeting pathways triggered by SARS-CoV-2breakdown → | 457 |
| 16 | 61 | |
| 17 | 17 | |
| 18 | 48 | |
| 19 | 21 | |
| 20 | Multiple head and neck tumours and their genetic relationship. | 7 |
About Francesca Fagiani
Francesca Fagiani is a scholar working on Aging, Geriatrics and Gerontology and Neurology, having authored 28 papers that have together received 1.2k indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (6 papers), Neuroinflammation and Neurodegeneration Mechanisms (4 papers) and Neuroscience and Neuropharmacology Research (4 papers). The work is most often cited by research in Endocrine and Autonomic Systems (184 citations), Biological Psychiatry (51 citations) and Infectious Diseases (329 citations). Francesca Fagiani has collaborated with scholars based in Italy, United States and United Kingdom. Frequent co-authors include Cristina Lanni, Stefano Govoni, Marco Racchi, Michele Catanzaro, Emanuela Corsini, Daniele Di Marino, Cristina Travelli, Alice Romagnoli, Lorenzo Di Cesare Mannelli and Hélène Bertrand. Their work appears in journals such as Nature Communications, Environmental Health Perspectives and Cellular and Molecular Life Sciences.
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.