Francesca Bordoni
Impact in
- Physiology top 0.5%
- Adenosine and Purinergic Signaling
- Neurology top 5%
- Vagus Nerve Stimulation Research
- Neuroinflammation and Neurodegeneration Mechanisms
Papers in
-
- Neuroscience and Neuropharmacology Research 6
-
- Adenosine and Purinergic Signaling 6
- Co-authors
- Felicita Pedata (7 shared papers)Serena Latini (6 shared papers)Renato Corradetti (3 shared papers)Alessia Melani (2 shared papers)Claudia Corsi (1 shared paper)Giancarlo Pepeu (2 shared papers)Loria Bianchi (1 shared paper)Marco Gianfriddo (1 shared paper)
- Journals
- British Journal of Pharmacology (2 papers)Brain Research (2 papers)Annals of the New York Academy of Sciences (1 paper)Neuroscience (1 paper)Synapse (1 paper)
- Partner nations
- ItalyUnited StatesSweden
In The Last Decade
Francesca Bordoni
7 papers receiving 465 citations
Peers
Comparison fields: 5 of 61
- Physiology 332
- Neurology 143
- Cellular and Molecular Neuroscience 234
- Endocrine and Autonomic Systems 53
- Developmental Neuroscience 18
Countries citing papers authored by Francesca Bordoni
This map shows the geographic impact of Francesca Bordoni'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 Bordoni with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Francesca Bordoni more than expected).
Fields of papers citing papers by Francesca Bordoni
This network shows the impact of papers produced by Francesca Bordoni. 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 Bordoni. The network helps show where Francesca Bordoni may publish in the future.
Co-authors
The 25 scholars most cited alongside Francesca Bordoni, 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 | 2001 | 111 | |
| 2 | 2002 | 104 | |
| 3 | 1999 | 100 | |
| 4 | 1999 | 51 | |
| 5 | 2002 | 46 | |
| 6 | 1998 | 38 | |
| 7 | 2001 | 18 |
About Francesca Bordoni
Francesca Bordoni is a scholar working on Cellular and Molecular Neuroscience, Physiology, Molecular Biology, Cognitive Neuroscience and Neurology, having authored 7 papers that have together received 468 indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (6 papers), Adenosine and Purinergic Signaling (6 papers), Ion channel regulation and function (2 papers), Receptor Mechanisms and Signaling (2 papers), Luminescence and Fluorescent Materials (1 paper), Neuroinflammation and Neurodegeneration Mechanisms (1 paper), Molecular Sensors and Ion Detection (1 paper) and Advanced Memory and Neural Computing (1 paper). The work is most often cited by research in Physiology (332 citations), Neurology (143 citations), Cellular and Molecular Neuroscience (234 citations), Endocrine and Autonomic Systems (53 citations) and Developmental Neuroscience (18 citations). Francesca Bordoni has collaborated with scholars based in Italy, United States and Sweden. Frequent co-authors include Felicita Pedata, Serena Latini, Renato Corradetti, Alessia Melani, Claudia Corsi, Giancarlo Pepeu, Loria Bianchi, Marco Gianfriddo, Maria Giuliana Vannucchi and Angela Monopoli. Their work appears in journals such as British Journal of Pharmacology, Brain Research, Annals of the New York Academy of Sciences, Neuroscience and Synapse.
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.