G. Privitera

680 total citations
24 papers, 422 citations indexed

About

G. Privitera is a scholar working on Epidemiology, Endocrinology, Diabetes and Metabolism and Hepatology. According to data from OpenAlex, G. Privitera has authored 24 papers receiving a total of 422 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Epidemiology, 9 papers in Endocrinology, Diabetes and Metabolism and 9 papers in Hepatology. Recurrent topics in G. Privitera's work include Liver Disease Diagnosis and Treatment (11 papers), Liver Disease and Transplantation (8 papers) and Adrenal Hormones and Disorders (7 papers). G. Privitera is often cited by papers focused on Liver Disease Diagnosis and Treatment (11 papers), Liver Disease and Transplantation (8 papers) and Adrenal Hormones and Disorders (7 papers). G. Privitera collaborates with scholars based in Italy, United Kingdom and Argentina. G. Privitera's co-authors include L. Spadaro, Francesco Purrello, Giuseppe Di Fede, Andrew K. Burroughs, Emmanuel Tsochatzis, Michael Thomas, Pierre‐Marc Bouloux, Giacomo Germani, Salvatore Piro and Agata Maria Rabuazzo and has published in prestigious journals such as Hepatology, Gut and Journal of Hepatology.

In The Last Decade

G. Privitera

24 papers receiving 412 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. Privitera Italy 9 215 191 180 82 54 24 422
Norma C. McAvoy United Kingdom 11 439 2.0× 370 1.9× 65 0.4× 340 4.1× 26 0.5× 17 574
Murat Kıyıcı Türkiye 11 182 0.8× 305 1.6× 96 0.5× 100 1.2× 26 0.5× 40 469
F.J. Carrilho Brazil 7 288 1.3× 276 1.4× 75 0.4× 163 2.0× 37 0.7× 21 521
Josephine Grace Australia 7 192 0.9× 168 0.9× 75 0.4× 105 1.3× 103 1.9× 16 374
Abdullah Sonsuz Türkiye 10 111 0.5× 222 1.2× 86 0.5× 69 0.8× 24 0.4× 31 406
Preya Patel Australia 15 351 1.6× 458 2.4× 118 0.7× 98 1.2× 72 1.3× 41 669
Jean–Michel Cereda France 6 129 0.6× 286 1.5× 166 0.9× 114 1.4× 38 0.7× 8 390
Michihiro Nonaka Japan 6 97 0.5× 295 1.5× 173 1.0× 86 1.0× 29 0.5× 11 441
Han-Chieh Lin Taiwan 9 217 1.0× 260 1.4× 77 0.4× 76 0.9× 17 0.3× 11 343
Ku-Lang Chang United States 5 93 0.4× 216 1.1× 118 0.7× 48 0.6× 18 0.3× 11 291

Countries citing papers authored by G. Privitera

Since Specialization
Citations

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

Fields of papers citing papers by G. Privitera

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of G. Privitera

This figure shows the co-authorship network connecting the top 25 collaborators of G. Privitera. A scholar is included among the top collaborators of G. Privitera 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. Privitera. G. Privitera 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.
Candido, Saverio, et al.. (2020). Direct oral anticoagulant treatment of deep vein thrombosis reduces IL‑6 expression in peripheral mono‑nuclear blood cells. Experimental and Therapeutic Medicine. 20(6). 1–1. 11 indexed citations
2.
Mauro, Stefania Di, Alessandra Scamporrino, Salvatore Petta, et al.. (2018). Serum Coding and Non-Coding RNAs as Biomarkers of NAFLD and Fibrosis Severity. SSRN Electronic Journal. 5 indexed citations
3.
Privitera, G., et al.. (2017). Abnormalities of Lipoprotein Levels in Liver Cirrhosis: Clinical Relevance. Digestive Diseases and Sciences. 63(1). 16–26. 38 indexed citations
4.
Holland‐Fischer, Peter, Rohit Sawhney, G. Privitera, et al.. (2017). DASIMAR: a novel prognostic biomarker for acute cirrhosis decompensation to guide early intervention - a prospective multicenter study. Journal of Hepatology. 66(1). S567–S567. 1 indexed citations
5.
Bertino, Gaetano, G. Privitera, Francesco Purrello, et al.. (2016). Emerging hepatic syndromes: pathophysiology, diagnosis and treatment. Internal and Emergency Medicine. 11(7). 905–916. 5 indexed citations
6.
Costantino, Giorgio, Gian Marco Podda, Lorenzo Falsetti, et al.. (2016). Guidelines on the management of atrial fibrillation in the emergency department: a critical appraisal. Internal and Emergency Medicine. 12(5). 693–703. 7 indexed citations
7.
Spadaro, L., Davide Noto, G. Privitera, et al.. (2015). Apolipoprotein AI and HDL are reduced in stable cirrhotic patients with adrenal insufficiency: a possible role in glucocorticoid deficiency. Scandinavian Journal of Gastroenterology. 50(3). 347–354. 19 indexed citations
8.
Spadaro, L., G. Privitera, Giuseppe Di Fede, et al.. (2015). Diabetes increases renovascular impedance in patients with liver cirrhosis. Internal and Emergency Medicine. 10(6). 703–709. 3 indexed citations
9.
Privitera, G., L. Spadaro, C. Alagona, et al.. (2015). Hepatic insulin resistance in NAFLD: relationship with markers of atherosclerosis and metabolic syndrome components. Acta Diabetologica. 53(3). 449–459. 16 indexed citations
10.
Fede, Giuseppe Di, L. Spadaro, G. Privitera, et al.. (2015). Hypothalamus-pituitary dysfunction is common in patients with stable cirrhosis and abnormal low dose synacthen test. Digestive and Liver Disease. 47(12). 1047–1051. 8 indexed citations
11.
Fede, Giuseppe Di, et al.. (2015). Cardiovascular dysfunction in patients with liver cirrhosis.. PubMed. 28(1). 31–40. 99 indexed citations
13.
Privitera, G., Banwari Agarwal, & Rajiv Jalan. (2014). Acute Liver Failure: Pathophysiologic Basis, and The Current and Emerging Therapies. 99–107. 2 indexed citations
14.
Privitera, G., L. Spadaro, Gaetana Di Fede, et al.. (2013). 229 ASSESSMENT OF LIPOPROTEIN SUBFRACTIONS IN LIVER CIRRHOSIS: RELATIONSHIP WITH BASAL AND ACTH INDUCED CORTISOL. Journal of Hepatology. 58. S98–S98. 1 indexed citations
15.
Fede, Giuseppe Di, L. Spadaro, G. Privitera, et al.. (2013). Comparison of Total Cortisol, Free Cortisol, and Surrogate Markers of Free Cortisol in Diagnosis of Adrenal Insufficiency in Patients With Stable Cirrhosis. Clinical Gastroenterology and Hepatology. 12(3). 504–512.e8. 37 indexed citations
16.
Privitera, G., et al.. (2012). Corticosteroid replacement therapy in hepatoadrenal syndrome. European Journal of Gastroenterology & Hepatology. 24(11). 1–1. 3 indexed citations
17.
Fede, Giuseppe Di, L. Spadaro, G. Privitera, et al.. (2012). Adrenocortical dysfunction in liver disease: A systematic review. Hepatology. 55(4). 1282–1291. 87 indexed citations
18.
Aceto, Paola, et al.. (2011). Lower surgical stress-induced prolactin release with desflurane versus sevoflurane. European Journal of Anaesthesiology. 28. 142–142. 1 indexed citations
19.
Fede, Giuseppe Di, L. Spadaro, G. Privitera, et al.. (2010). Assessment of adrenocortical reserve in stable patients with cirrhosis. Journal of Hepatology. 54(2). 243–250. 60 indexed citations
20.
Baggiani, Annamaria, et al.. (2006). Audit sulla modalità di effettuazione della profilassi antobiotica perioperatoria in una azienda ospedaliero-universitaria. CINECA IRIS Institutial research information system (University of Pisa). 13. 30–31. 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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