G Torrigiani

2.3k total citations
52 papers, 1.8k citations indexed

About

G Torrigiani is a scholar working on Radiology, Nuclear Medicine and Imaging, Immunology and Molecular Biology. According to data from OpenAlex, G Torrigiani has authored 52 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Radiology, Nuclear Medicine and Imaging, 12 papers in Immunology and 9 papers in Molecular Biology. Recurrent topics in G Torrigiani's work include Monoclonal and Polyclonal Antibodies Research (12 papers), Thyroid Disorders and Treatments (6 papers) and Glycosylation and Glycoproteins Research (5 papers). G Torrigiani is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (12 papers), Thyroid Disorders and Treatments (6 papers) and Glycosylation and Glycoproteins Research (5 papers). G Torrigiani collaborates with scholars based in United States, Italy and United Kingdom. G Torrigiani's co-authors include I M Roitt, Melvyn F. Greaves, J. H. L. Playfair, I.M. Roitt, Deborah Doniach, F C Hay, Jonathan Brostoff, Brian Greenwood, P. M. Daniel and O. E. Pratt and has published in prestigious journals such as Nature, The Lancet and The Journal of Experimental Medicine.

In The Last Decade

G Torrigiani

46 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
G Torrigiani United States 22 760 458 358 288 217 52 1.8k
Joseph D. Feldman United States 28 1.2k 1.6× 346 0.8× 602 1.7× 93 0.3× 144 0.7× 91 2.7k
E.A. Caspary United Kingdom 28 835 1.1× 235 0.5× 669 1.9× 81 0.3× 135 0.6× 105 2.3k
Beatrice Carrier Seegal United States 20 286 0.4× 239 0.5× 581 1.6× 131 0.5× 104 0.5× 29 2.0k
Nikolaus Neu Austria 23 1.1k 1.5× 340 0.7× 354 1.0× 86 0.3× 114 0.5× 55 2.5k
I.M. Roitt United States 25 1.6k 2.1× 931 2.0× 943 2.6× 95 0.3× 201 0.9× 57 2.7k
Leonhard Korngold United States 21 382 0.5× 498 1.1× 454 1.3× 66 0.2× 304 1.4× 69 1.6k
R. Kurrle Germany 25 1.3k 1.7× 276 0.6× 709 2.0× 96 0.3× 97 0.4× 102 2.4k
Renée Norberg Sweden 22 384 0.5× 291 0.6× 303 0.8× 74 0.3× 244 1.1× 89 2.0k
W R Benjamin United States 22 1.4k 1.9× 286 0.6× 600 1.7× 51 0.2× 144 0.7× 33 2.4k
Antonio de la Hera Spain 31 1.5k 2.0× 339 0.7× 444 1.2× 77 0.3× 163 0.8× 76 2.6k

Countries citing papers authored by G Torrigiani

Since Specialization
Citations

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

Fields of papers citing papers by G Torrigiani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of G Torrigiani

This figure shows the co-authorship network connecting the top 25 collaborators of G Torrigiani. A scholar is included among the top collaborators of G Torrigiani 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 Torrigiani. G Torrigiani 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.
Colaneri, Marta, Marta Canuti, G Torrigiani, et al.. (2025). Predictors of COVID-19 Readmission Among Patients Previously Hospitalized for SARS-CoV-2. Infectious Diseases and Therapy. 14(2). 447–461.
2.
Ciaffi, Jacopo, G Torrigiani, Piero Ruscitti, Antonella Zambon, & Francesco Ursini. (2025). No disproportionate reporting of inflammatory arthritis following COVID-19 vaccination: a pharmacovigilance study using VAERS data. Seminars in Arthritis and Rheumatism. 74. 152827–152827.
4.
Foresta, Andreana, G Torrigiani, Maria Carla Roncaglioni, et al.. (2024). Proton Pump Inhibitor Use and the Risk of Cardiovascular Complications and Death in Older Adults with Diabetes: A Population-Based Cohort Study. Drugs & Aging. 41(3). 239–249. 5 indexed citations
5.
Franchi, Matteo, et al.. (2024). Long-term exposure to antihypertensive drugs and the risk of cancer occurrence: evidence from a large population-based study. Journal of Hypertension. 42(12). 2107–2114. 1 indexed citations
6.
Zuin, Marco, Luisa Ojeda‐Fernández, G Torrigiani, & Matteo Bertini. (2024). Risk of incident atrial fibrillation after COVID-19 infection: A systematic review and meta-analysis. Heart Rhythm. 21(9). 1613–1620. 9 indexed citations
7.
Askonas, B A, Bernard Moss, G Torrigiani, & Stefania Gorini. (1989). The Immune Response to Viral Infections. Advances in experimental medicine and biology. 3 indexed citations
8.
Torrigiani, G, et al.. (1975). Reaction of Antiglobulin factors present in rheumatoid conditions with different gamma-globulin substrates.. Munich Personal RePEc Archive (Ludwig Maximilian University of Munich). 6. 151–5. 1 indexed citations
9.
Hay, F C & G Torrigiani. (1973). The effect of pertussis adjuvant on antibody production: the need for thymus‐dependent lymphocytes. European Journal of Immunology. 3(10). 657–659. 9 indexed citations
10.
Chamberlain, M A, et al.. (1972). IgG antiglobulin levels in patients with psoriatic arthropathy, ankylosing spondylitis, and gout.. Annals of the Rheumatic Diseases. 31(2). 129–131. 50 indexed citations
11.
Ac, Allison, et al.. (1972). Virus-associated immunopathology: animal models and implications for human disease. 2. Cell-mediated immunity, autoimmune diseases, genetics, and implications for clinical research.. PubMed. 47(2). 265–74. 8 indexed citations
12.
Torrigiani, G & F C Hay. (1972). Quantitative estimation of antibody against keyhole limpet haemocyanin in the immunoglobulin classes of the mouse. Immunochemistry. 9(12). 1253–1256. 2 indexed citations
13.
Greaves, Melvyn F., G Torrigiani, & I.M. Roitt. (1971). Inhibition of human mixed lymphocyte reaction by antibodies to immunoglobulin light chain determinants.. PubMed Central. 9(3). 313–28. 27 indexed citations
14.
Greenwood, Brian, J. H. L. Playfair, & G Torrigiani. (1971). Immunosuppression in murine malaria. I. General characteristics.. PubMed. 8(3). 467–78. 128 indexed citations
15.
Falconer, Ian R., I M Roitt, R.F. Seamark, & G Torrigiani. (1970). Studies of the congenitally goitrous sheep. Iodoproteins of the goitre. Biochemical Journal. 117(3). 417–424. 18 indexed citations
16.
Roitt, I.M., G Torrigiani, Melvyn F. Greaves, Jonathan Brostoff, & J. H. L. Playfair. (1969). THE CELLULAR BASIS OF IMMUNOLOGICAL RESPONSES. The Lancet. 294(7616). 367–371. 309 indexed citations
17.
Daniel, P. M., O. E. Pratt, I M Roitt, & G Torrigiani. (1967). The release of thyroglobulin from the thyroid gland into thyroid lymphatics; the identification of thyroglobulin in the thyroid lymph and in the blood of monkeys by physical and immunological methods and its estimation by radioimmunoassay.. PubMed. 12(5). 489–504. 65 indexed citations
18.
Torrigiani, G & I.M. Roitt. (1965). THE ENHANCEMENT OF 19S ANTIBODY PRODUCTION BY PARTICULATE ANTIGEN. The Journal of Experimental Medicine. 122(1). 181–193. 47 indexed citations
19.
Torrigiani, G, et al.. (1964). [ANTI-GASTRIC-MUCOSA ANTIBODIES].. PubMed. 55. 1784–9. 1 indexed citations
20.
Torrigiani, G & I M Roitt. (1963). Sedimentation Characteristics of Human Thyroid Autoantibodies. Immunology. 6(1). 73. 7 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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