G Triolo

9.3k total citations · 1 hit paper
209 papers, 5.7k citations indexed

About

G Triolo is a scholar working on Rheumatology, Immunology and Hematology. According to data from OpenAlex, G Triolo has authored 209 papers receiving a total of 5.7k indexed citations (citations by other indexed papers that have themselves been cited), including 64 papers in Rheumatology, 59 papers in Immunology and 40 papers in Hematology. Recurrent topics in G Triolo's work include Autoimmune and Inflammatory Disorders Research (26 papers), Systemic Lupus Erythematosus Research (26 papers) and Diabetes and associated disorders (24 papers). G Triolo is often cited by papers focused on Autoimmune and Inflammatory Disorders Research (26 papers), Systemic Lupus Erythematosus Research (26 papers) and Diabetes and associated disorders (24 papers). G Triolo collaborates with scholars based in Italy, United States and United Kingdom. G Triolo's co-authors include Francesco Ciccia, Giuliana Guggino, Angelo Ferrante, Riccardo Alessandro, Anna Giardina, Aroldo Rizzo, Roberto Giacomelli, Paola Cipriani, Piero Ruscitti and Francesco Carubbi and has published in prestigious journals such as SHILAP Revista de lepidopterología, Diabetes and The Journal of Urology.

In The Last Decade

G Triolo

202 papers receiving 5.6k citations

Hit Papers

Brief Report: Intestinal ... 2014 2026 2018 2022 2014 100 200 300

Author Peers

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

Author Last Decade Papers Cites
G Triolo 2.3k 2.1k 1.3k 1.1k 671 209 5.7k
Francesco Ciccia 3.1k 1.4× 2.9k 1.4× 1.7k 1.3× 1.8k 1.6× 750 1.1× 232 7.1k
Mauro Galeazzi 3.8k 1.7× 1.9k 0.9× 1.2k 0.9× 2.0k 1.8× 620 0.9× 199 7.9k
Florenzo Iannone 3.3k 1.5× 1.4k 0.7× 1.1k 0.9× 1.0k 0.9× 539 0.8× 349 6.8k
Nurullah Akkoç 2.9k 1.3× 1.7k 0.8× 1.0k 0.8× 1.3k 1.2× 513 0.8× 152 4.9k
Francesco Zulian 1.3k 0.6× 845 0.4× 1.4k 1.1× 878 0.8× 827 1.2× 170 4.9k
Gerard Espinosa 5.4k 2.4× 1.8k 0.8× 2.4k 1.9× 652 0.6× 1.0k 1.5× 340 8.8k
Éric Toussirot 2.4k 1.1× 1.5k 0.7× 667 0.5× 631 0.6× 671 1.0× 223 5.2k
Mario García‐Carrasco 2.4k 1.1× 1.1k 0.5× 453 0.4× 571 0.5× 707 1.1× 167 5.1k
Giovanni Lapadula 2.1k 1.0× 1.0k 0.5× 628 0.5× 521 0.5× 550 0.8× 191 4.5k
Péter Szodoray 1.9k 0.8× 2.1k 1.0× 389 0.3× 894 0.8× 494 0.7× 153 5.6k

Countries citing papers authored by G Triolo

Since Specialization
Citations

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

Fields of papers citing papers by G Triolo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of G Triolo

This figure shows the co-authorship network connecting the top 25 collaborators of G Triolo. A scholar is included among the top collaborators of G Triolo 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 Triolo. G Triolo 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.
Ciccia, Francesco, Aroldo Rizzo, Angelo Ferrante, et al.. (2017). New insights into the pathogenesis of giant cell arteritis. Autoimmunity Reviews. 16(7). 675–683. 47 indexed citations
2.
Dieli, Francesco, G Triolo, Guido Sireci, et al.. (2016). Invariant NKT cells are expanded in peripheral blood but are undetectable in salivary glands of patients with primary Sjögren's syndrome.. Clinical & Experimental Immunology. 34. 25–31. 46 indexed citations
3.
Costello, Mary‐Ellen, Francesco Ciccia, Dana Willner, et al.. (2015). Brief report: intestinal dysbiosis in ankylosing spondylitis. Queensland's institutional digital repository (The University of Queensland). 9 indexed citations
4.
Triolo, G, et al.. (2015). Reduction of the Risk of Acute Tubular Necrosis in Ciclosporin-Treated Patients. Contributions to nephrology. 51. 143–146.
5.
Ciccia, Francesco, Giuliana Guggino, A. Rizzo, et al.. (2015). Potential involvement of IL-9 and Th9 cells in the pathogenesis of rheumatoid arthritis. Lara D. Veeken. 54(12). 2264–2272. 89 indexed citations
7.
Guggino, Giuliana, Anna Giardina, Stefania Raimondo, et al.. (2014). Targeting IL-6 signalling in early rheumatoid arthritis is followed by Th1 and Th17 suppression and Th2 expansion.. PubMed. 32(1). 77–81. 32 indexed citations
8.
Costello, Mary‐Ellen, Francesco Ciccia, Dana Willner, et al.. (2014). Brief Report: Intestinal Dysbiosis in Ankylosing Spondylitis. Arthritis & Rheumatology. 67(3). 686–691. 305 indexed citations breakdown →
9.
Carubbi, Francesco, Alessia Alunno, Paola Cipriani, et al.. (2014). Is minor salivary gland biopsy more than a diagnostic tool in primary Sjo¨gren׳s syndrome? Association between clinical, histopathological, and molecular features: A retrospective study. Seminars in Arthritis and Rheumatism. 44(3). 314–324. 52 indexed citations
10.
Costello, Mary‐Ellen, Francesco Ciccia, Brooke Gardiner, et al.. (2013). Evidence Of a Microbial Signature In The Intestinal Microbiome In Ankylosing Spondylitis.. Queensland's institutional digital repository (The University of Queensland). 1 indexed citations
11.
Re, Giuseppe Lo, G Triolo, Letizia Scola, et al.. (2013). Pathological Implications of Th1/Th2 Cytokine Genetic Variants in Behçet’s Disease: Data from a Pilot Study in a Sicilian Population. Biochemical Genetics. 51(11-12). 967–975. 8 indexed citations
12.
Bombardieri, Stefano, Gianfranco Ferraccioli, Cássia Ferri, et al.. (2009). La rivoluzione copernicana nella terapia dell'artrite reumatoide: il contributo degli anti-TNFalpha.. Reumatismo. 61(1). 1–23. 3 indexed citations
13.
Portelli, Marco, Giovanni Matarese, Angela Militi, et al.. (2009). Myotonic dystrophy and craniofacial morphology: clinical and instrumental study.. PubMed. 10(1). 19–22. 15 indexed citations
14.
Bellia, Maria, Fabio Cannizzaro, Nicola Scichilone, et al.. (2009). HRCT and scleroderma: semiquantitative evaluation of lung damage and functional abnormalities. La radiologia medica. 114(2). 190–203. 27 indexed citations
15.
Scichilone, Nicola, Maria Bellia, Alkis Togias, et al.. (2008). Alterations of the Beneficial Effect of Deep Inspiration in Scleroderma: Relationships between Lung Function and Imaging. Respiration. 76(3). 303–310.
16.
Scapagnini, U., Vincenzo Guarcello, G Triolo, et al.. (1990). Therapeutic Perspectives in Psychoneuroendocrinimmunology(PNEI): Potential Role of Phosphatidylserine in Neuroendocrine-Immune Communications. International Journal of Neuroscience. 51(3-4). 299–301. 1 indexed citations
17.
Triolo, G, et al.. (1989). Cross-Reactivity of Anti-ssDNA Antibodies With Heparan Sulfate in Patients With Type I Diabetes Mellitus. Diabetes. 38(6). 718–722. 12 indexed citations
18.
Benna, Paolo, Francesco Lacquaniti, G Triolo, P. Ferrero, & B. Bergamasco. (1981). Acute neurologic complications of hemodialysis. Neurological Sciences. 2(1). 53–57. 23 indexed citations
19.
Triolo, G, et al.. (1981). Changes in Serum Lipids with Prolonged CAPD. Peritoneal Dialysis International. 2(4). 192–192. 2 indexed citations
20.
Quarello, F, et al.. (1978). [Results of a generalized program of self-dialysis in the treatment of chronic uremina].. PubMed. 30(2). 109–12. 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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