Federico Carbone
Impact in
- Immunology top 0.01%
- Immunotherapy and Immune Responses
- T-cell and B-cell Immunology
- Immune Cell Function and Interaction
- Immune Response and Inflammation
- Virology top 0.5%
Papers in
- Immunology 150
- T-cell and B-cell Immunology 95
- Immunotherapy and Immune Responses 82
- Immune Cell Function and Interaction 78
- Atherosclerosis and Cardiovascular Diseases 26
- Epidemiology 46
- Adipokines, Inflammation, and Metabolic Diseases 18
- Co-authors
- William R. Heath (78 shared papers)Jacques F.A.P. Miller (16 shared papers)Michael J. Bevan (8 shared papers)Fabrizio Montecucco (165 shared papers)Christian Kurts (15 shared papers)Stephen C. Jameson (5 shared papers)Gabrielle T. Belz (18 shared papers)Thomas Gebhardt (7 shared papers)
- Journals
- European Journal of Clinical Investigation (38 papers)The Journal of Immunology (29 papers)The Journal of Experimental Medicine (22 papers)International Journal of Cardiology (10 papers)Immunology and Cell Biology (9 papers)
- Partner nations
- ItalyAustraliaSwitzerland
In The Last Decade
Federico Carbone
309 papers receiving 28.2k citations
Federico Carbone's Hit Papers
Peers
Comparison fields: 5 of 171
- Immunology 20.9k
- Virology 727
- Oncology 3.9k
- Epidemiology 3.3k
- Immunology and Allergy 485
Countries citing papers authored by Federico Carbone
This map shows the geographic impact of Federico Carbone'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 Federico Carbone with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Federico Carbone more than expected).
Fields of papers citing papers by Federico Carbone
This network shows the impact of papers produced by Federico Carbone. 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 Federico Carbone. The network helps show where Federico Carbone may publish in the future.
Co-authors
The 25 scholars most cited alongside Federico Carbone, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 313 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | T cell receptor antagonist peptides induce positive selection Hit paper breakdown → | 1994 | 2377 |
| 2 | Help for cytotoxic-T-cell responses is mediated by CD40 signalling Hit paper breakdown → | 1998 | 1780 |
| 3 | Defective TCR expression in transgenic mice constructed using cDNA‐based α‐ and β‐chain genes under the control of heterologous regulatory elements Hit paper breakdown → | 1998 | 1247 |
| 4 | The developmental pathway for CD103+CD8+ tissue-resident memory T cells of skin Hit paper breakdown → | 2013 | 981 |
| 5 | Memory T cells in nonlymphoid tissue that provide enhanced local immunity during infection with herpes simplex virus Hit paper breakdown → | 2009 | 865 |
| 6 | Cross-Presentation, Dendritic Cells, Tolerance and Immunity Hit paper breakdown → | 2001 | 722 |
| 7 | Induction of a CD8+ Cytotoxic T Lymphocyte Response by Cross-priming Requires Cognate CD4+ T Cell Help Hit paper breakdown → | 1997 | 622 |
| 8 | Memory T Cell Subsets, Migration Patterns, and Tissue Residence Hit paper breakdown → | 2012 | 612 |
| 9 | Class I–restricted Cross-Presentation of Exogenous Self-Antigens Leads to Deletion of Autoreactive CD8+ T Cells Hit paper breakdown → | 1997 | 592 |
| 10 | Migratory Dendritic Cells Transfer Antigen to a Lymph Node-Resident Dendritic Cell Population for Efficient CTL Priming Hit paper breakdown → | 2006 | 585 |
| 11 | Cross-presentation of viral and self antigens by skin-derived CD103+ dendritic cells Hit paper breakdown → | 2009 | 557 |
| 12 | Cross‐presentation, dendritic cell subsets, and the generation of immunity to cellular antigens Hit paper breakdown → | 2004 | 545 |
| 13 | Constitutive class I-restricted exogenous presentation of self antigens in vivo. Hit paper breakdown → | 1996 | 524 |
| 14 | 2003 | 468 | |
| 15 | 2015 | 461 | |
| 16 | 2002 | 389 | |
| 17 | 2001 | 364 | |
| 18 | 1990 | 363 | |
| 19 | 2004 | 347 | |
| 20 | 2009 | 320 |
About Federico Carbone
Federico Carbone is a scholar working on Immunology, Epidemiology, Cardiology and Cardiovascular Medicine, Surgery and Molecular Biology, having authored 313 papers that have together received 28.6k indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (95 papers), Immunotherapy and Immune Responses (82 papers), Immune Cell Function and Interaction (78 papers), Atherosclerosis and Cardiovascular Diseases (26 papers), Monoclonal and Polyclonal Antibodies Research (22 papers), Adipokines, Inflammation, and Metabolic Diseases (18 papers), Cardiovascular Disease and Adiposity (18 papers) and Lipoproteins and Cardiovascular Health (15 papers). The work is most often cited by research in Immunology (20.9k citations), Virology (727 citations), Oncology (3.9k citations), Epidemiology (3.3k citations) and Immunology and Allergy (485 citations). Federico Carbone has collaborated with scholars based in Italy, Australia and Switzerland. Frequent co-authors include William R. Heath, Jacques F.A.P. Miller, Michael J. Bevan, Fabrizio Montecucco, Christian Kurts, Stephen C. Jameson, Gabrielle T. Belz, Thomas Gebhardt, Megan Barnden and Jane L. Howard. Their work appears in journals such as European Journal of Clinical Investigation, The Journal of Immunology, The Journal of Experimental Medicine, International Journal of Cardiology and Immunology and Cell Biology.
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.