Francesca Fallarino
- Immunology top 0.1%
- Biological Psychiatry top 0.01%
- Molecular Biology top 1%
- Oncology top 1%
- Behavioral Neuroscience top 0.1%
- Co-authors
- Paolo PuccettiCarmine VaccaUrsula GrohmannRoberta BianchiCiriana OrabonaMaria C. FiorettiMaria Laura BelladonnaLuigina Romani
- Topics
- Tryptophan and brain disorders (50 papers)Immune Cell Function and Interaction (45 papers)T-cell and B-cell Immunology (38 papers)
- Partner nations
- ItalyUnited StatesFrance
In The Last Decade
Francesca Fallarino
172 papers receiving 17.6k citations
Hit Papers
Peers
Comparison fields: 5 of 152
- Immunology 8.8k
- Biological Psychiatry 4.9k
- Molecular Biology 4.8k
- Oncology 2.5k
- Behavioral Neuroscience 2.0k
Countries citing papers authored by Francesca Fallarino
This map shows the geographic impact of Francesca Fallarino'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 Fallarino with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Francesca Fallarino more than expected).
Fields of papers citing papers by Francesca Fallarino
This network shows the impact of papers produced by Francesca Fallarino. 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 Fallarino. The network helps show where Francesca Fallarino may publish in the future.
Co-authorship network of co-authors of Francesca Fallarino
This figure shows the co-authorship network connecting the top 25 collaborators of Francesca Fallarino. A scholar is included among the top collaborators of Francesca Fallarino 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 Fallarino. Francesca Fallarino is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 10 | |
| 2 | 14 | |
| 3 | 22 | |
| 4 | 14 | |
| 5 | 1 | |
| 6 | Tryptophan metabolism as a common therapeutic target in cancer, neurodegeneration and beyondbreakdown → | 1081 |
| 7 | 77 | |
| 8 | 5 | |
| 9 | 34 | |
| 10 | Tryptophan Catabolites from Microbiota Engage Aryl Hydrocarbon Receptor and Balance Mucosal Reactivity via Interleukin-22breakdown → | 1832 |
| 11 | 160 | |
| 12 | 161 | |
| 13 | 186 | |
| 14 | Modulation of tryptophan catabolism by regulatory T cellsbreakdown → | 1038 |
| 15 | 91 | |
| 16 | 206 | |
| 17 | 154 | |
| 18 | 116 | |
| 19 | 91 | |
| 20 | 45 |
About Francesca Fallarino
Francesca Fallarino is a scholar working on Biological Psychiatry, Behavioral Neuroscience and Immunology, having authored 176 papers that have together received 17.8k indexed citations. Recurring topics across this work include Tryptophan and brain disorders (50 papers), Immune Cell Function and Interaction (45 papers) and T-cell and B-cell Immunology (38 papers). The work is most often cited by research in Biological Psychiatry (4.9k citations), Behavioral Neuroscience (2.0k citations) and Immunology (8.8k citations). Francesca Fallarino has collaborated with scholars based in Italy, United States and France. Frequent co-authors include Paolo Puccetti, Carmine Vacca, Ursula Grohmann, Roberta Bianchi, Ciriana Orabona, Maria C. Fioretti, Maria Laura Belladonna, Luigina Romani, Teresa Zelante and Antonella De Luca. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.
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.