Gino Doria

1.7k total citations
79 papers, 1.4k citations indexed

About

Gino Doria is a scholar working on Immunology, Molecular Biology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Gino Doria has authored 79 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Immunology, 26 papers in Molecular Biology and 15 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Gino Doria's work include Immune Cell Function and Interaction (27 papers), T-cell and B-cell Immunology (27 papers) and Immunotherapy and Immune Responses (11 papers). Gino Doria is often cited by papers focused on Immune Cell Function and Interaction (27 papers), T-cell and B-cell Immunology (27 papers) and Immunotherapy and Immune Responses (11 papers). Gino Doria collaborates with scholars based in Italy, United States and France. Gino Doria's co-authors include Daniela Frasca, Luciano Adorini, Claudio Pioli, Luigia Pace, Camillo Mancini, Maria Cristina Caroleo, Giuseppe Nisticò, Lucia Gatta, Vincenzo Covelli and Alessandro Sette and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and The Journal of Immunology.

In The Last Decade

Gino Doria

74 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Gino Doria Italy 22 765 384 206 154 143 79 1.4k
K J Collier United States 10 629 0.8× 717 1.9× 205 1.0× 113 0.7× 89 0.6× 14 1.6k
F.G.M. Snijdewint Netherlands 16 889 1.2× 472 1.2× 240 1.2× 174 1.1× 219 1.5× 27 1.9k
Mitsue Notake Japan 12 429 0.6× 663 1.7× 201 1.0× 66 0.4× 141 1.0× 21 1.6k
Perla Nunes United States 10 1.1k 1.4× 402 1.0× 286 1.4× 114 0.7× 71 0.5× 11 1.5k
Maria Cristina Fioretti Italy 16 1.7k 2.3× 314 0.8× 404 2.0× 55 0.4× 103 0.7× 25 2.4k
Dino Collavo Italy 19 708 0.9× 340 0.9× 183 0.9× 121 0.8× 33 0.2× 76 1.2k
G. Forsberg Sweden 29 592 0.8× 888 2.3× 404 2.0× 486 3.2× 96 0.7× 75 2.2k
Joseph S. Heilig United States 15 650 0.8× 463 1.2× 142 0.7× 170 1.1× 120 0.8× 21 1.4k
O Bakouche United States 16 478 0.6× 283 0.7× 81 0.4× 57 0.4× 138 1.0× 30 1.0k
Masaki Kashiwada United States 18 787 1.0× 458 1.2× 243 1.2× 41 0.3× 244 1.7× 25 1.5k

Countries citing papers authored by Gino Doria

Since Specialization
Citations

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

Fields of papers citing papers by Gino Doria

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gino Doria

This figure shows the co-authorship network connecting the top 25 collaborators of Gino Doria. A scholar is included among the top collaborators of Gino Doria 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 Gino Doria. Gino Doria 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.
Pace, Luigia, Sara Vitale, Valentina La Sorsa, et al.. (2010). APC Activation by IFN-α Decreases Regulatory T Cell and Enhances Th Cell Functions. The Journal of Immunology. 184(11). 5969–5979. 70 indexed citations
2.
Pace, Luigia, et al.. (2006). Cutting Edge: IL-4-Induced Protection of CD4+CD25− Th Cells from CD4+CD25+ Regulatory T Cell-Mediated Suppression. The Journal of Immunology. 176(7). 3900–3904. 50 indexed citations
3.
Pace, Luigia, Claudio Pioli, & Gino Doria. (2005). IL-4 Modulation of CD4+CD25+ T Regulatory Cell-Mediated Suppression. The Journal of Immunology. 174(12). 7645–7653. 48 indexed citations
4.
Pace, Luigia, et al.. (2005). Cytotoxic T‐lymphocyte antigen‐4 inhibits GATA‐3 but not T‐bet mRNA expression during T helper cell differentiation. Immunology. 117(3). 358–367. 21 indexed citations
5.
Guidi, Luisa, et al.. (2001). Role of DNA-dependent protein kinase in recognition of radiation-induced DNA damage in human peripheral blood mononuclear cells. International Immunology. 13(6). 791–797. 12 indexed citations
6.
Seminara, Patrizia, Fabrizió Franchi, Claudio Pioli, et al.. (2001). Activity of a Nitroxylated Analog of Daunorubicin, Ruboxyl, in B-Lymphoproliferative Disorders. Acta Haematologica. 105(2). 77–82. 2 indexed citations
7.
Pioli, Claudio, et al.. (2000). Inhibition of IgG1 and IgE Production by Stimulation of the B Cell CTLA-4 Receptor. The Journal of Immunology. 165(10). 5530–5536. 65 indexed citations
8.
Peissel, Bernard, Daniela Zaffaroni, Nicola Zanesi, et al.. (2000). Linkage disequilibrium and haplotype mapping of a skin cancer susceptibility locus in outbred mice. Mammalian Genome. 11(11). 979–981. 13 indexed citations
9.
Doria, Gino & Daniela Frasca. (2000). Genetic factors in immunity and aging. Vaccine. 18(16). 1591–1595. 15 indexed citations
10.
Saran, Anna, Simonetta Pazzaglia, Simonetta Rebessi, et al.. (1999). Skin tumorigenesis by initiators and promoters of different chemical structures in lines of mice selectively bred for resistance (car-r) or susceptibility (car-s) to two-stage skin carcinogenesis. International Journal of Cancer. 83(3). 335–340. 7 indexed citations
11.
Saran, Anna, Simonetta Pazzaglia, Simonetta Rebessi, et al.. (1999). Skin tumorigenesis by initiators and promoters of different chemical structures in lines of mice selectively bred for resistance (car‐r) or susceptibility (car‐s) to two‐stage skin carcinogenesis. International Journal of Cancer. 83(3). 335–340. 1 indexed citations
12.
14.
Brunelli, Roberto, Daniela Frasca, Marcello Spanò, L Zichella, & Gino Doria. (1992). Gonadectomy in Old Mice Induces Thymus Regeneration but Does Not Recover Mitotic Responsivenessa. Annals of the New York Academy of Sciences. 673(1). 252–255. 6 indexed citations
15.
Bartoloni, Carlo, Luisa Guidi, Daniela Frasca, et al.. (1991). Immune parameters in a populatio of institutionalized elderly subjects: influence of depressive disorders and endocrinological correlations. Mechanisms of Ageing and Development. 60(1). 1–12. 11 indexed citations
16.
Doria, Gino, Luciano Adorini, E Sabbadini, Camillo Mancini, & Daniela Frasca. (1988). Immunoregulation in Aginga. Annals of the New York Academy of Sciences. 521(1). 182–188. 9 indexed citations
17.
Frasca, Daniela, Luciano Adorini, & Gino Doria. (1985). Enhancement of helper and suppressor T cell activities by thymosin α1 injection in old mice. Immunopharmacology. 10(1). 41–49. 13 indexed citations
18.
Ruco, Luigi, et al.. (1981). Low antibody responsiveness to T-dependent antigens in C3H/HeJ mice. Cellular Immunology. 59(1). 1–9. 4 indexed citations
19.
Doria, Gino & Aliza Eshkol. (1980). The Immune system : functions and therapy of dysfunction. Academic Press eBooks. 11 indexed citations
20.
Doria, Gino. (1962). Homograft reaction in mouse radiation chimeras. I. Indirect evidence for graft-anti-host activity.. The Journal of Immunology. 89(4). 459–462. 1 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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