Alessandro Grembiale

469 total citations
18 papers, 350 citations indexed

About

Alessandro Grembiale is a scholar working on Epidemiology, Endocrinology, Diabetes and Metabolism and Infectious Diseases. According to data from OpenAlex, Alessandro Grembiale has authored 18 papers receiving a total of 350 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Epidemiology, 8 papers in Endocrinology, Diabetes and Metabolism and 6 papers in Infectious Diseases. Recurrent topics in Alessandro Grembiale's work include Diabetes, Cardiovascular Risks, and Lipoproteins (6 papers), Sepsis Diagnosis and Treatment (6 papers) and COVID-19 Clinical Research Studies (5 papers). Alessandro Grembiale is often cited by papers focused on Diabetes, Cardiovascular Risks, and Lipoproteins (6 papers), Sepsis Diagnosis and Treatment (6 papers) and COVID-19 Clinical Research Studies (5 papers). Alessandro Grembiale collaborates with scholars based in Italy, Switzerland and Israel. Alessandro Grembiale's co-authors include Giorgio Sesti, Francesco Andreozzi, Marta Letizia Hribal, Francesco Perticone, Angela Sciacqua, Elena Succurro, Franco Arturi, Marina Lugarà, Maria Adelaide Marini and Teresa Vanessa Fiorentino and has published in prestigious journals such as The American Journal of Cardiology, Journal of Antimicrobial Chemotherapy and Atherosclerosis.

In The Last Decade

Alessandro Grembiale

16 papers receiving 344 citations

Peers

Alessandro Grembiale

EDM

EPIDE

CCM

PHYSI

Shinichi Antoku Japan

José Miguel González-Clemente Spain

Mehmet Baştemir Türkiye

Gabriel Martínez-Razo Mexico

Marco Vatrano Italy

Elena Izkhakov Israel

Gudeta D. Fufaa United States

Konstantinos Balampanis Greece

Syed Mohsin Manzoor Pakistan

Won Seon Jeon South Korea

Shinichi Antoku Japan

Alessandro Grembiale

203 ×0.9

EDM

93 ×0.8

59 ×0.7

EPIDE

92 ×1.3

CCM

26 ×0.6

PHYSI

Citations per year, relative to Alessandro Grembiale Alessandro Grembiale (= 1×) peers Shinichi Antoku

Countries citing papers authored by Alessandro Grembiale

Since Specialization

Citations

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

Fields of papers citing papers by Alessandro Grembiale

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alessandro Grembiale

This figure shows the co-authorship network connecting the top 25 collaborators of Alessandro Grembiale. A scholar is included among the top collaborators of Alessandro Grembiale 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 Alessandro Grembiale. Alessandro Grembiale is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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18 of 18 papers shown

Venturini, Sergio, GianLuca Colussi, Chiara Pratesi, et al.. (2024). Diagnostic role of CD64 expression on neutrophils as biomarker for blood stream infection in liver cirrhosis: some preliminary findings. Infezioni in Medicina. 32(3). 363–368.

Margalit, Ili, Giusy Tiseo, Marco Ripa, et al.. (2023). Real-life experience with remdesivir for treatment of COVID-19 among older adults: a multicentre retrospective study. Journal of Antimicrobial Chemotherapy. 78(6). 1505–1509. 5 indexed citations

Venturini, Sergio, Manuela Avolio, Giancarlo Basaglia, et al.. (2023). Infezioni in Medicina. Infezioni in Medicina. 31(2). 250–256. 1 indexed citations

Venturini, Sergio, Daniele Orso, Danilo Villalta, et al.. (2023). Infezioni in Medicina. Infezioni in Medicina. 31(2). 215–224.

Venturini, Sergio, Daniele Orso, Maurizio Tonizzo, et al.. (2022). Development and Validation of the Acute PNeumonia Early Assessment Score for Safely Discharging Low-Risk SARS-CoV-2-Infected Patients from the Emergency Department. Journal of Clinical Medicine. 11(3). 881–881. 1 indexed citations

Tiseo, Giusy, Ili Margalit, Marco Ripa, et al.. (2022). Predictors of survival in elderly patients with coronavirus disease 2019 admitted to the hospital: derivation and validation of the FLAMINCOV score. Clinical Microbiology and Infection. 29(3). 379–385. 2 indexed citations

Venturini, Sergio, Daniele Orso, Massimo Crapis, et al.. (2021). Classification and analysis of outcome predictors in non‐critically ill COVID‐19 patients. Internal Medicine Journal. 51(4). 506–514. 10 indexed citations

Venturini, Sergio, Daniele Orso, Massimo Crapis, et al.. (2021). Artificial neural network model from a case series of COVID-19 patients: a prognostic analysis.. PubMed. 92(2). e2021202–e2021202. 2 indexed citations

Grembiale, Alessandro, et al.. (2020). An Unusual Case of Cholestatic Hepatitis due to Light-Chain Deposition Disease. Case Reports in Oncology. 13(3). 1343–1348. 4 indexed citations

10.

Ursini, Francesco, Alessandro Grembiale, Saverio Naty, & Rosa Daniela Grembiale. (2013). Serum complement C3 correlates with insulin resistance in never treated psoriatic arthritis patients. Clinical Rheumatology. 33(12). 1759–1764. 23 indexed citations

11.

Succurro, Elena, Franco Arturi, Alessandro Grembiale, et al.. (2011). One-hour post-load plasma glucose levels are associated with elevated liver enzymes. Nutrition Metabolism and Cardiovascular Diseases. 21(9). 713–718. 32 indexed citations

12.

Succurro, Elena, Maria Adelaide Marini, Franco Arturi, et al.. (2011). Usefulness of Hemoglobin A1c as a Criterion to Define the Metabolic Syndrome in a Cohort of Italian Nondiabetic White Subjects. The American Journal of Cardiology. 107(11). 1650–1655. 27 indexed citations

13.

Succurro, Elena, Franco Arturi, Marina Lugarà, et al.. (2010). One-Hour Postload Plasma Glucose Levels Are Associated with Kidney Dysfunction. Clinical Journal of the American Society of Nephrology. 5(11). 1922–1927. 69 indexed citations

14.

Succurro, Elena, Franco Arturi, Alessandro Grembiale, et al.. (2010). Positive association between plasma IGF1 and high-density lipoprotein cholesterol levels in adult nondiabetic subjects. European Journal of Endocrinology. 163(1). 75–80. 28 indexed citations

15.

Grembiale, Alessandro, Elena Succurro, Marina Lugarà, et al.. (2010). Low serum thyrotropin concentrations as a risk factor for atrial fibrillation in elderly patients. BMC Geriatrics. 10(S1). 1 indexed citations

16.

Lugarà, Marina, et al.. (2010). Plasma levels of fibrinogen and ambulatory blood pressure monitoring: study in elderly patients. BMC Geriatrics. 10(S1). 1 indexed citations

17.

Succurro, Elena, Maria Adelaide Marini, Alessandro Grembiale, et al.. (2009). Differences in cardiovascular risk profile based on relationship between post‐load plasma glucose and fasting plasma levels. Diabetes/Metabolism Research and Reviews. 25(4). 351–356. 11 indexed citations

18.

Succurro, Elena, Maria Adelaide Marini, Franco Arturi, et al.. (2009). Elevated one-hour post-load plasma glucose levels identifies subjects with normal glucose tolerance but early carotid atherosclerosis. Atherosclerosis. 207(1). 245–249. 133 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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