Federico Carbone

36.4k total citations · 14 hit papers
317 papers, 28.4k citations indexed

About

Federico Carbone is a scholar working on Immunology, Epidemiology and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Federico Carbone has authored 317 papers receiving a total of 28.4k indexed citations (citations by other indexed papers that have themselves been cited), including 162 papers in Immunology, 57 papers in Epidemiology and 56 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Federico Carbone's work include T-cell and B-cell Immunology (95 papers), Immunotherapy and Immune Responses (82 papers) and Immune Cell Function and Interaction (78 papers). Federico Carbone is often cited by papers focused on T-cell and B-cell Immunology (95 papers), Immunotherapy and Immune Responses (82 papers) and Immune Cell Function and Interaction (78 papers). Federico Carbone collaborates with scholars based in Italy, Australia and Switzerland. Federico Carbone's 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 and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Federico Carbone

311 papers receiving 28.0k citations

Hit Papers

T cell receptor antagonis... 1994 2026 2004 2015 1994 1998 1998 2013 2009 500 1000 1.5k 2.0k
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. T cell receptor antagonist peptides induce positive selection
    1994 2.4k citations William R. Heath, Federico Carbone et al. profile →
  2. Help for cytotoxic-T-cell responses is mediated by CD40 signalling
    1998 1.8k citations Federico Carbone, William R. Heath et al. profile →
  3. Defective TCR expression in transgenic mice constructed using cDNA‐based α‐ and β‐chain genes under the control of heterologous regulatory elements
    1998 1.2k citations William R. Heath, Federico Carbone et al. profile →
  4. The developmental pathway for CD103+CD8+ tissue-resident memory T cells of skin
    2013 955 citations Laura K. Mackay, Scott N. Mueller et al. Nature Immunology profile →
  5. Memory T cells in nonlymphoid tissue that provide enhanced local immunity during infection with herpes simplex virus
    2009 848 citations Thomas Gebhardt, Linda M. Wakim et al. Nature Immunology profile →
  6. Cross-Presentation, Dendritic Cells, Tolerance and Immunity
    2001 721 citations William R. Heath, Federico Carbone profile →
  7. Induction of a CD8+ Cytotoxic T Lymphocyte Response by Cross-priming Requires Cognate CD4+ T Cell Help
    1997 622 citations Federico Carbone, William R. Heath et al. profile →
  8. Memory T Cell Subsets, Migration Patterns, and Tissue Residence
    2012 608 citations Scott N. Mueller, Thomas Gebhardt et al. profile →
  9. Class I–restricted Cross-Presentation of Exogenous Self-Antigens Leads to Deletion of Autoreactive CD8+ T Cells
    1997 591 citations Federico Carbone, William R. Heath et al. profile →
  10. Migratory Dendritic Cells Transfer Antigen to a Lymph Node-Resident Dendritic Cell Population for Efficient CTL Priming
    2006 579 citations Rhys S. Allan, Ken Shortman et al. profile →
  11. Cross-presentation of viral and self antigens by skin-derived CD103+ dendritic cells
    2009 555 citations Linda M. Wakim, Rhys S. Allan et al. Nature Immunology profile →
  12. Cross‐presentation, dendritic cell subsets, and the generation of immunity to cellular antigens
    2004 543 citations William R. Heath, Gabrielle T. Belz et al. profile →
  13. Constitutive class I-restricted exogenous presentation of self antigens in vivo.
    1996 522 citations William R. Heath, Federico Carbone et al. profile →
  14. SGLT2 inhibitors: from glucose-lowering to cardiovascular benefits
    2024 53 citations Alberto Preda, Fabrizio Montecucco et al. profile →

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Federico Carbone 21.6k 4.9k 4.1k 3.7k 1.7k 317 28.4k
Reinhold Förster 24.7k 1.1× 5.5k 1.1× 8.0k 2.0× 2.7k 0.7× 1.3k 0.8× 239 33.3k
Cecília Garlanda 16.6k 0.8× 8.2k 1.7× 4.9k 1.2× 2.3k 0.6× 832 0.5× 241 27.3k
Stefan Endres 16.6k 0.8× 9.0k 1.8× 5.0k 1.2× 3.5k 0.9× 1.9k 1.1× 276 28.6k
Denisa D. Wagner 13.5k 0.6× 7.4k 1.5× 2.4k 0.6× 2.6k 0.7× 2.0k 1.1× 202 28.0k
Naofumi Mukaida 12.5k 0.6× 7.3k 1.5× 7.8k 1.9× 3.4k 0.9× 1.4k 0.8× 376 28.4k
Paul P. Tak 11.8k 0.5× 8.6k 1.8× 4.5k 1.1× 2.0k 0.5× 1.9k 1.1× 459 33.5k
Massimo Locati 17.3k 0.8× 8.7k 1.8× 7.6k 1.8× 2.6k 0.7× 960 0.6× 194 29.1k
Gwendalyn J. Randolph 21.0k 1.0× 8.7k 1.8× 6.4k 1.5× 3.9k 1.1× 1.0k 0.6× 184 33.4k
Terje Espevik 15.3k 0.7× 8.5k 1.7× 2.1k 0.5× 5.1k 1.4× 1.5k 0.9× 316 29.2k
Barrett J. Rollins 10.8k 0.5× 6.0k 1.2× 8.0k 1.9× 2.3k 0.6× 1.2k 0.7× 126 23.0k

Countries citing papers authored by Federico Carbone

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Federico Carbone

This figure shows the co-authorship network connecting the top 25 collaborators of Federico Carbone. A scholar is included among the top collaborators of Federico Carbone 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 Federico Carbone. Federico Carbone is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Ballabio, M., Lorenzo Ferrando, Giovanni Talerico, et al.. (2025). Influence of medical educational background on the diagnostic quality of ChatGPT‐4 responses in internal medicine: A pilot study. European Journal of Clinical Investigation. 55(11). e70113–e70113. 1 indexed citations
2.
Montecucco, Fabrizio, et al.. (2024). Obesity, cardiovascular and cerebrovascular disease: the role of GLP-1 receptor agonists. Polskie Archiwum Medycyny Wewnętrznej. 134(2). 3 indexed citations
3.
Verzola, Daniela, Maria Bertolotto, Silvia Minetti, et al.. (2024). Baseline urinary osteopontin levels are associated with the improvement of metabolic syndrome. Nutrition Metabolism and Cardiovascular Diseases. 34(8). 1874–1878. 2 indexed citations
4.
Liberale, Luca, Claudia Torino, Patrizia Pizzini, et al.. (2024). Plasma levels of myeloperoxidase and resistin independently predict mortality in dialysis patients. European Journal of Internal Medicine. 129. 87–92. 1 indexed citations
5.
Preda, Alberto, et al.. (2023). Obesity phenotypes and cardiovascular risk: From pathophysiology to clinical management. Reviews in Endocrine and Metabolic Disorders. 24(5). 901–919. 39 indexed citations
6.
Pedroni, Nicola, et al.. (2023). A novel approach combining bootstrapped non-intrusive reduced order models and unscented transform for the robust and efficient CFD analysis of accidental gas releases in congested plants. Journal of Loss Prevention in the Process Industries. 83. 105015–105015. 1 indexed citations
7.
Russo, Elisa, Maria Bertolotto, Daniela Picciotto, et al.. (2023). Role of Uric Acid in Vascular Remodeling: Cytoskeleton Changes and Migration in VSMCs. International Journal of Molecular Sciences. 24(3). 2960–2960. 10 indexed citations
8.
Carbone, Federico, Luca Liberale, Peter Libby, & Fabrizio Montecucco. (2023). Vitamin D in atherosclerosis and cardiovascular events. European Heart Journal. 44(23). 2078–2094. 35 indexed citations
9.
Armentaro, Giuseppe, Federico Carbone, Velia Cassano, et al.. (2022). Serum proprotein convertase subtilisin/Kexin type 9 and vascular disease in type 2 diabetic patients. European Journal of Clinical Investigation. 53(3). 4 indexed citations
10.
Gaborit, Bénédicte, et al.. (2022). Epicardial fat and atrial fibrillation: the perils of atrial failure. EP Europace. 24(8). 1201–1212. 13 indexed citations
11.
Pucci, Giacomo, Stefano Ministrini, Francesca Battista, et al.. (2021). Relationship between serum myostatin levels and carotid-femoral pulse wave velocity in healthy young male adolescents: the MACISTE study. Journal of Applied Physiology. 130(4). 987–992. 8 indexed citations
12.
Carbone, Federico, Stefano Ministrini, Aldo Bonaventura, et al.. (2021). Serum levels of VCAM‐1 are associated with survival in patients treated with nivolumab for NSCLC. European Journal of Clinical Investigation. 52(1). e13668–e13668. 7 indexed citations
13.
Carbone, Federico, Fabrizio Montecucco, Alessandro Poggi, et al.. (2020). Serum adiponectin levels are associated with presence of carotid plaque in women with systemic lupus erythematosus. Nutrition Metabolism and Cardiovascular Diseases. 30(7). 1147–1151. 8 indexed citations
14.
Bonaventura, Aldo, Francesco Grossi, Federico Carbone, et al.. (2020). Resistin is associated with overall survival in non-small cell lung cancer patients during nivolumab treatment. Clinical & Translational Oncology. 22(9). 1603–1610. 4 indexed citations
15.
Bonaventura, Aldo, Francesco Grossi, Federico Carbone, et al.. (2019). Serum PCSK9 levels at the second nivolumab cycle predict overall survival in elderly patients with NSCLC: a pilot study. Cancer Immunology Immunotherapy. 68(8). 1351–1358. 28 indexed citations
16.
Park, Simone L., Ali Zaid, Jyh Liang Hor, et al.. (2018). Local proliferation maintains a stable pool of tissue-resident memory T cells after antiviral recall responses. Nature Immunology. 19(2). 183–191. 245 indexed citations
17.
Canepa, Marco, Pietro Ameri, Federico Carbone, et al.. (2017). Short-term effect of rosuvastatin treatment on arterial stiffness in individuals with newly-diagnosed heterozygous familial hypercholesterolemia. International Journal of Cardiology. 255. 215–220. 9 indexed citations
18.
Bonaventura, Aldo, François Mach, Aline Roth, et al.. (2016). Intraplaque Expression of C-Reactive Protein Predicts Cardiovascular Events in Patients with Severe Atherosclerotic Carotid Artery Stenosis. Mediators of Inflammation. 2016. 1–10. 20 indexed citations
19.
Belz, Gabrielle T., Christopher M. Smith, Patrick C. Reading, et al.. (2004). Distinct migrating and nonmigrating dendritic cell populations are involved in MHC class I-restricted antigen presentation after lung infection with virus. Proceedings of the National Academy of Sciences. 101(23). 8670–8675. 295 indexed citations
20.
Allan, Rhys S., Christopher M. Smith, Gabrielle T. Belz, et al.. (2003). Epidermal Viral Immunity Induced by CD8α + Dendritic Cells But Not by Langerhans Cells. Science. 301(5641). 1925–1928. 467 indexed citations

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.

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