G. B. Ferrara

2.2k total citations
34 papers, 970 citations indexed

About

G. B. Ferrara is a scholar working on Immunology, Hematology and Molecular Biology. According to data from OpenAlex, G. B. Ferrara has authored 34 papers receiving a total of 970 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Immunology, 6 papers in Hematology and 4 papers in Molecular Biology. Recurrent topics in G. B. Ferrara's work include T-cell and B-cell Immunology (20 papers), Immune Cell Function and Interaction (14 papers) and Immunotherapy and Immune Responses (14 papers). G. B. Ferrara is often cited by papers focused on T-cell and B-cell Immunology (20 papers), Immune Cell Function and Interaction (14 papers) and Immunotherapy and Immune Responses (14 papers). G. B. Ferrara collaborates with scholars based in Italy, United Kingdom and United States. G. B. Ferrara's co-authors include Anna Longo, Marco Colonna, Marina Cella, Jack L. Strominger, Laura Delfino, Paolo Pozzi, Anna Morabito, Luis Ugozzoli, LD Petz and Priscilla Yam and has published in prestigious journals such as Nature Communications, The Journal of Experimental Medicine and Blood.

In The Last Decade

G. B. Ferrara

33 papers receiving 931 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
G. B. Ferrara Italy 16 741 264 87 83 54 34 970
Gloria Yang United States 9 501 0.7× 267 1.0× 189 2.2× 195 2.3× 83 1.5× 15 914
M. M. Tongio France 15 425 0.6× 113 0.4× 74 0.9× 51 0.6× 46 0.9× 39 617
O Asai Japan 11 436 0.6× 281 1.1× 117 1.3× 135 1.6× 24 0.4× 17 726
M Sasportes France 18 648 0.9× 176 0.7× 255 2.9× 104 1.3× 78 1.4× 60 986
Martin Birkhofer United States 9 371 0.5× 140 0.5× 88 1.0× 186 2.2× 83 1.5× 20 802
Irma Rensink Netherlands 14 400 0.5× 117 0.4× 122 1.4× 50 0.6× 21 0.4× 22 701
Brian Duffy United States 18 356 0.5× 144 0.5× 154 1.8× 72 0.9× 97 1.8× 41 825
CF LeMaistre United States 11 537 0.7× 272 1.0× 119 1.4× 209 2.5× 48 0.9× 18 903
A. Balas Spain 15 670 0.9× 293 1.1× 101 1.2× 131 1.6× 79 1.5× 180 1.1k
Kathy S. Wang United States 9 360 0.5× 125 0.5× 126 1.4× 168 2.0× 39 0.7× 11 588

Countries citing papers authored by G. B. Ferrara

Since Specialization
Citations

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

Fields of papers citing papers by G. B. Ferrara

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by G. B. Ferrara. 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 G. B. Ferrara. The network helps show where G. B. Ferrara may publish in the future.

Co-authorship network of co-authors of G. B. Ferrara

This figure shows the co-authorship network connecting the top 25 collaborators of G. B. Ferrara. A scholar is included among the top collaborators of G. B. Ferrara 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 G. B. Ferrara. G. B. Ferrara 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.
Ferrara, G. B., Riccardo Capelli, Sarah Sertic, et al.. (2025). Mechanistic understanding of UvrA damage detection and lesion hand-off to UvrB in Nucleotide Excision Repair. Nature Communications. 16(1). 3416–3416.
2.
Bontadini, Andrea, Laura Delfino, Silvia Manfroi, et al.. (2006). Characterization of a new HLA‐C allele in a Caucasian Italian family by sequence‐based typing: HLA‐Cw*0730†. Tissue Antigens. 68(3). 268–269. 2 indexed citations
3.
Bontadini, Andrea, Silvia Manfroi, Laura Delfino, et al.. (2004). Characterization of a new HLA‐DRB1*01 allele (HLA‐DRB1*010203) in a Caucasian Italian family by using sequence‐based typing. Tissue Antigens. 64(5). 624–626. 4 indexed citations
4.
Ferrara, G. B., et al.. (2004). A fuzzy approach to image analysis in HLA typing using oligonucleotide microarrays. Fuzzy Sets and Systems. 152(1). 37–48. 2 indexed citations
5.
Delfino, Laura, Anna Morabito, & G. B. Ferrara. (2003). HLA‐C sequence based typing: nucleotide analysis from exon 1 through exon 8. Identification of a new allele: Cw*0718. Tissue Antigens. 62(5). 418–425. 15 indexed citations
6.
Olivieri, Ignazio, Giovanni Ciancìo, Angela Padula, et al.. (2002). The HLA–B*2709 subtype confers susceptibility to spondylarthropathy. Arthritis & Rheumatism. 46(2). 553–554. 21 indexed citations
7.
8.
Sartoris, Silvia, Andrea Brendolan, Maria Grazia Testi, et al.. (2000). Analysis of CIITA encoding AIR-1 gene promoters in insulin-dependent diabetes mellitus and rheumatoid arthritis patients from the northeast of Italy: absence of sequence variability. Human Immunology. 61(6). 599–604. 12 indexed citations
9.
Frumento, Guido, Giulio Lelio Palmisano, M. Nicotra, et al.. (2000). Melanomas and melanoma cell lines do not express HLA‐G, and the expression cannot be induced by γIFN treatment. Tissue Antigens. 56(1). 30–37. 45 indexed citations
10.
Pozzi, Paolo, Anna Longo, & G. B. Ferrara. (1999). HLA‐B locus sequence‐based typing. Tissue Antigens. 53(3). 275–281. 61 indexed citations
11.
Delfino, Laura, et al.. (1999). HLA class I sequence-based typing for high resolution matching in bone marrow transplantation.. PubMed. 13(1). 42–6. 3 indexed citations
12.
13.
Giacomini, Patrizio, A. Beretta, M. Nicotra, et al.. (1997). HLA‐C heavy chains free of ß2‐microglobulin: distribution in normal tissues and neoplastic lesions of non‐lymphoid origin and interferon‐γ responsiveness. Tissue Antigens. 50(6). 555–566. 38 indexed citations
14.
Charron, Dominique, A. Arnaiz‐Villena, Jean‐Denis Bignon, et al.. (1997). Unrelated donor bone marrow transplantation (UD-BMT): 12th International Histocompatibility Workshop study. UWA Profiles and Research Repository (University of Western Australia). 459–465. 3 indexed citations
15.
Cella, Marina, Anna Longo, G. B. Ferrara, Jack L. Strominger, & Marco Colonna. (1994). NK3-specific natural killer cells are selectively inhibited by Bw4-positive HLA alleles with isoleucine 80.. The Journal of Experimental Medicine. 180(4). 1235–1242. 279 indexed citations
16.
Middleton, Derek, David A. Savage, G. B. Ferrara, et al.. (1992). Matching for HLA-DPB1 alleles in zero mismatched HLA-A, -B, and -DR renal transplants.. PubMed. 24(6). 2439–40. 5 indexed citations
17.
Federici, Stefano, Lucia Casarino, Armando Mannucci, et al.. (1992). HLA-DQA1 allele and genotype frequencies in a Northern Italian population. Forensic Science International. 55(1). 59–66. 7 indexed citations
18.
Radrizzani, Marina, Chiara Castelli, Anna Longo, et al.. (1991). Human allogeneic melanoma‐reactive T‐helper lymphocyte clones: Functional analysis of lymphocyte‐melanoma interactions. International Journal of Cancer. 49(6). 823–830. 16 indexed citations
19.
Ferrara, G. B., et al.. (1974). HL-A UNRESPONSIVENESS INDUCED BY WEEKLY TRANSFUSIONS OF SMALL ALIQUOTS OF WHOLE BLOOD. Transplantation. 17(2). 194–200. 26 indexed citations
20.
Crookston, Marie C., Judith A. Falk, ELIZABETH B. ROBSON, et al.. (1974). Linkage of Chido and HL‐A. Tissue Antigens. 4(3). 366–373. 60 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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