Carlo Riccardi
- Immunology top 0.1%
- Molecular Biology top 0.5%
- Oncology top 0.5%
- Genetics top 1%
- Cancer Research top 1%
- Co-authors
- Ildo NicolettiGraziella MiglioratiMaria Cristina PagliacciF GrignaniGiuseppe NocentiniEmira AyroldiStefano BruscoliSimona Ronchetti
- Topics
- Immune Cell Function and Interaction (121 papers)Immune Response and Inflammation (77 papers)T-cell and B-cell Immunology (66 papers)
- Cited by
- ImmunologyOncologyCancer Research
- Journals
- Proceedings of the National Academy of SciencesNucleic Acids ResearchJournal of Biological Chemistry
- Partner nations
- ItalyUnited StatesJapan
In The Last Decade
Carlo Riccardi
312 papers receiving 17.3k citations
Hit Papers
Peers
Comparison fields: 5 of 160
- Immunology 7.9k
- Molecular Biology 6.3k
- Oncology 3.1k
- Genetics 1.7k
- Cancer Research 1.7k
Countries citing papers authored by Carlo Riccardi
This map shows the geographic impact of Carlo Riccardi'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 Carlo Riccardi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Carlo Riccardi more than expected).
Fields of papers citing papers by Carlo Riccardi
This network shows the impact of papers produced by Carlo Riccardi. 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 Carlo Riccardi. The network helps show where Carlo Riccardi may publish in the future.
Co-authorship network of co-authors of Carlo Riccardi
This figure shows the co-authorship network connecting the top 25 collaborators of Carlo Riccardi. A scholar is included among the top collaborators of Carlo Riccardi 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 Carlo Riccardi. Carlo Riccardi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 1 | |
| 3 | 5 | |
| 4 | 1 | |
| 5 | 8 | |
| 6 | 25 | |
| 7 | 13 | |
| 8 | 17 | |
| 9 | 68 | |
| 10 | 60 | |
| 11 | 78 | |
| 12 | 6 | |
| 13 | 52 | |
| 14 | 67 | |
| 15 | 26 | |
| 16 | 14 | |
| 17 | 102 | |
| 18 | 16 | |
| 19 | Hypoxanthine-Leu-Met-COOH (RM06) affects haematopoietic reconstitution and natural killer cell activity in mice transplanted with syngeneic bone marrow | 1 |
| 20 | Resistance of Staphylococci to Antibiotics. | 1 |
About Carlo Riccardi
Carlo Riccardi is a scholar working on Immunology, Cancer Research and Behavioral Neuroscience, having authored 316 papers that have together received 17.8k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (121 papers), Immune Response and Inflammation (77 papers) and T-cell and B-cell Immunology (66 papers). The work is most often cited by research in Immunology (7.9k citations), Oncology (3.1k citations) and Cancer Research (1.7k citations). Carlo Riccardi has collaborated with scholars based in Italy, United States and Japan. Frequent co-authors include Ildo Nicoletti, Graziella Migliorati, Maria Cristina Pagliacci, F Grignani, Giuseppe Nocentini, Emira Ayroldi, Stefano Bruscoli, Simona Ronchetti, Angela Santoni and Lorenza Cannarile. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research 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.