Carlo Carcassi

4.8k total citations
115 papers, 2.5k citations indexed

About

Carlo Carcassi is a scholar working on Immunology, Rheumatology and Hematology. According to data from OpenAlex, Carlo Carcassi has authored 115 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 62 papers in Immunology, 24 papers in Rheumatology and 20 papers in Hematology. Recurrent topics in Carlo Carcassi's work include T-cell and B-cell Immunology (43 papers), Immune Cell Function and Interaction (24 papers) and Systemic Lupus Erythematosus Research (14 papers). Carlo Carcassi is often cited by papers focused on T-cell and B-cell Immunology (43 papers), Immune Cell Function and Interaction (24 papers) and Systemic Lupus Erythematosus Research (14 papers). Carlo Carcassi collaborates with scholars based in Italy, France and United States. Carlo Carcassi's co-authors include Giorgio La Nasa, Sandro Orrù, Licinio Contu, L. Contu, Roberto Littera, Alessandro Mathieu, Rosa Sorrentino, Maria Teresa Fiorillo, Giovanni Caocci and Sara Lai and has published in prestigious journals such as Nature Genetics, Blood and PLoS ONE.

In The Last Decade

Carlo Carcassi

112 papers receiving 2.4k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Carlo Carcassi Italy 29 1.1k 588 408 340 327 115 2.5k
Ephraim Gazit Israel 27 1.0k 0.9× 331 0.6× 332 0.8× 439 1.3× 425 1.3× 126 2.9k
Anthony G. Wilson United Kingdom 24 712 0.7× 807 1.4× 216 0.5× 306 0.9× 350 1.1× 71 2.1k
Daniel J. Birmingham United States 28 1.4k 1.3× 809 1.4× 593 1.5× 142 0.4× 341 1.0× 66 2.4k
Morton Scheinberg Brazil 29 1.5k 1.4× 1.5k 2.5× 297 0.7× 192 0.6× 375 1.1× 155 3.1k
Elena Massarotti United States 22 790 0.7× 1.0k 1.8× 535 1.3× 171 0.5× 608 1.9× 38 2.6k
Hans‐Hartmut Peter Germany 25 1.5k 1.3× 311 0.5× 272 0.7× 398 1.2× 359 1.1× 58 2.3k
Michel De Bandt France 28 693 0.6× 1.3k 2.2× 506 1.2× 147 0.4× 402 1.2× 81 2.7k
N. Miyasaka Japan 25 939 0.9× 1.3k 2.2× 532 1.3× 148 0.4× 420 1.3× 76 2.8k
P. C. Limburg Netherlands 33 1.3k 1.2× 1.3k 2.2× 332 0.8× 227 0.7× 543 1.7× 52 3.6k
Anne‐Sophie Korganow France 25 1.8k 1.7× 898 1.5× 245 0.6× 343 1.0× 581 1.8× 94 3.1k

Countries citing papers authored by Carlo Carcassi

Since Specialization
Citations

This map shows the geographic impact of Carlo Carcassi'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 Carcassi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Carlo Carcassi more than expected).

Fields of papers citing papers by Carlo Carcassi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Carlo Carcassi. 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 Carcassi. The network helps show where Carlo Carcassi may publish in the future.

Co-authorship network of co-authors of Carlo Carcassi

This figure shows the co-authorship network connecting the top 25 collaborators of Carlo Carcassi. A scholar is included among the top collaborators of Carlo Carcassi 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 Carcassi. Carlo Carcassi 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.
Dallapiccola, Bruno, Massimo Rugge, Massimo Cardillo, et al.. (2022). Organ donation from patients with a rare disease is often safe: the italian guidelines. Clinical Transplantation. 36(9). e14769–e14769. 1 indexed citations
2.
Khanna, Narendra N., Ankush D. Jamthikar, Tadashi Araki, et al.. (2019). Nonlinear model for the carotid artery disease 10‐year risk prediction by fusing conventional cardiovascular factors to carotid ultrasound image phenotypes: A Japanese diabetes cohort study. Echocardiography. 36(2). 345–361. 30 indexed citations
3.
Angioni, Maria Maddalena, Matteo Piga, Fabiana Paladini, et al.. (2018). AIF-1 gene does not confer susceptibility to Behçet’s disease: Analysis of extended haplotypes in Sardinian population. PLoS ONE. 13(9). e0204250–e0204250. 3 indexed citations
4.
Mascaretti, L, Carlo Carcassi, Thomas Eiermann, et al.. (2013). ACTIVITY OF EFI ACCREDITED LABORATORIES IN 2011: A PRELIMINARY ANALYSIS. Tissue Antigens. 81(5). 388–388. 1 indexed citations
5.
Cauli, Alberto, Alessandra Vacca, Giovanni Porru, et al.. (2012). Susceptibility to ankylosing spondylitis but not disease outcome is influenced by the level of HLA-B27 expression, which shows moderate variability over time. Scandinavian Journal of Rheumatology. 41(3). 214–218. 12 indexed citations
6.
7.
Littera, Roberto, Alessandra Vacca, Alice Bertaina, et al.. (2010). The role of killer immunoglobulin-like receptor haplotypes on the outcome of unrelated donor haematopoietic SCT for thalassaemia. Bone Marrow Transplantation. 45(11). 1618–1624. 14 indexed citations
8.
Moreau, Philippe, Licinio Contu, F. Alba, et al.. (2008). HLA-G Gene Polymorphism in Human Placentas: Possible Association of G*0106 Allele with Preeclampsia and Miscarriage. Biology of Reproduction. 79(3). 459–467. 82 indexed citations
9.
Orrù, Sandro, et al.. (2004). Mapping of the Major Psoriasis-Susceptibility Locus (PSORS1) in a 70-Kb Interval around the Corneodesmosin Gene (CDSN). The American Journal of Human Genetics. 76(1). 164–171. 43 indexed citations
10.
Pinna, Gian Domenico, Carlo Carcassi, F. Alba, et al.. (2004). A novel germline mutation of MEN 1 gene in a patient with acromegaly and multiple endocrine tumors. Journal of Endocrinological Investigation. 27(6). 577–582. 3 indexed citations
11.
Galeazzi, Mauro, Gian Domenico Sebastiani, Gabriella Morozzi, et al.. (2002). HLA Class II DNA Typing in a Large Series of European Patients with Systemic Lupus Erythematosus. Medicine. 81(3). 169–178. 33 indexed citations
12.
Capon, Francesca, Sabrina Semprini, Giuseppe Novelli, et al.. (2001). Fine Mapping of the PSORS4 Psoriasis Susceptibility Region on Chromosome 1q21. Journal of Investigative Dermatology. 116(5). 728–730. 74 indexed citations
13.
Siniscalco, M., et al.. (1999). Population genomics in Sardinia: a novel approach to hunt for genomic combinations underlying complex traits and diseases. Cytogenetic and Genome Research. 86(2). 148–152. 12 indexed citations
14.
Lepage, V., Carlo Carcassi, S. Djoulah, et al.. (1998). Distribution of the CCR5 gene 32 base pair deletion and SDF1-3'A variant in healthy individuals from different populations. Immunogenetics. 48(6). 417–419. 39 indexed citations
15.
Nasa, Giorgio La, Alessandra Vacca, A Ledda, et al.. (1997). Role of HLA extended haplotypes in unrelated bone marrow transplantation. Bone Marrow Transplantation. 19. 186–189. 2 indexed citations
16.
Ramsbottom, Dorothy, Carlo Carcassi, M. Abbal, et al.. (1996). MHC haplotypes including eight microsatellites in French Basques and in Sardinians. Human Immunology. 47(1-2). 51–51. 3 indexed citations
17.
Carcassi, Carlo, Giuliana Trucco, Massimo Trucco, & Licinio Contu. (1991). A new HLA-DR2 extended haplotype is involved in insulin-dependent diabetes mellitus susceptibility. Human Immunology. 31(3). 159–164. 26 indexed citations
18.
Nasa, Giorgio La, Carlo Carcassi, M. Mulargia, et al.. (1990). HLA IN BETA-THALASSEMIA MAJOR : A STUDY OF 40 MULTIPLEX FAMILIES. Medical science research. 18(23). 925–927. 1 indexed citations
19.
20.
Cerimele, D., L. Contu, Carlo Carcassi, et al.. (1988). HLA and Multiple Skin Carcinomas. Dermatology. 176(4). 176–181. 31 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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