Paolo Puccetti
- Immunology top 0.05%
- Molecular Biology top 1%
- Biological Psychiatry top 0.01%
- Infectious Diseases top 0.2%
- Epidemiology top 0.5%
- Co-authors
- Francesca FallarinoUrsula GrohmannLuigina RomaniCarmine VaccaRoberta BianchiCiriana OrabonaFrancesco BistoniMaria C. Fioretti
- Topics
- Immunotherapy and Immune Responses (58 papers)Immune Cell Function and Interaction (57 papers)Antifungal resistance and susceptibility (55 papers)
- Partner nations
- ItalyUnited StatesNetherlands
In The Last Decade
Paolo Puccetti
252 papers receiving 20.9k citations
Hit Papers
Peers
Comparison fields: 5 of 140
- Immunology 10.8k
- Molecular Biology 4.7k
- Biological Psychiatry 4.6k
- Infectious Diseases 4.1k
- Epidemiology 3.4k
Countries citing papers authored by Paolo Puccetti
This map shows the geographic impact of Paolo Puccetti'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 Paolo Puccetti with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Paolo Puccetti more than expected).
Fields of papers citing papers by Paolo Puccetti
This network shows the impact of papers produced by Paolo Puccetti. 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 Paolo Puccetti. The network helps show where Paolo Puccetti may publish in the future.
Co-authorship network of co-authors of Paolo Puccetti
This figure shows the co-authorship network connecting the top 25 collaborators of Paolo Puccetti. A scholar is included among the top collaborators of Paolo Puccetti 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 Paolo Puccetti. Paolo Puccetti is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 15 | |
| 2 | 77 | |
| 3 | 5 | |
| 4 | 34 | |
| 5 | Tryptophan Catabolites from Microbiota Engage Aryl Hydrocarbon Receptor and Balance Mucosal Reactivity via Interleukin-22breakdown → | 1832 |
| 6 | 160 | |
| 7 | 95 | |
| 8 | 97 | |
| 9 | 138 | |
| 10 | 161 | |
| 11 | 146 | |
| 12 | Modulation of tryptophan catabolism by regulatory T cellsbreakdown → | 1038 |
| 13 | 91 | |
| 14 | 206 | |
| 15 | 154 | |
| 16 | 116 | |
| 17 | 91 | |
| 18 | 71 | |
| 19 | 79 | |
| 20 | 85 |
About Paolo Puccetti
Paolo Puccetti is a scholar working on Biological Psychiatry, Immunology and Behavioral Neuroscience, having authored 255 papers that have together received 21.4k indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (58 papers), Immune Cell Function and Interaction (57 papers) and Antifungal resistance and susceptibility (55 papers). The work is most often cited by research in Biological Psychiatry (4.6k citations), Behavioral Neuroscience (1.9k citations) and Immunology (10.8k citations). Paolo Puccetti has collaborated with scholars based in Italy, United States and Netherlands. Frequent co-authors include Francesca Fallarino, Ursula Grohmann, Luigina Romani, Carmine Vacca, Roberta Bianchi, Ciriana Orabona, Francesco Bistoni, Maria C. Fioretti, Maria Laura Belladonna and Teresa Zelante. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Nature Medicine.
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.