Pasquale Surace

523 total citations
7 papers, 338 citations indexed

About

Pasquale Surace is a scholar working on Epidemiology, Cardiology and Cardiovascular Medicine and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Pasquale Surace has authored 7 papers receiving a total of 338 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Epidemiology, 4 papers in Cardiology and Cardiovascular Medicine and 3 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Pasquale Surace's work include Liver Disease Diagnosis and Treatment (4 papers), Cardiovascular Disease and Adiposity (3 papers) and Diet, Metabolism, and Disease (2 papers). Pasquale Surace is often cited by papers focused on Liver Disease Diagnosis and Treatment (4 papers), Cardiovascular Disease and Adiposity (3 papers) and Diet, Metabolism, and Disease (2 papers). Pasquale Surace collaborates with scholars based in Italy and Armenia. Pasquale Surace's co-authors include Carmelo Antonio Caserta, Maria Teresa Fiorillo, G.M. Pendino, Angela Amante, Rodolfo Cotichini, Alfonso Mele, I. Polito, Andrea Mariano, Tommaso Stroffolini and Fabrizio Marcucci and has published in prestigious journals such as Hepatology, American Journal of Epidemiology and Clinica Chimica Acta.

In The Last Decade

Pasquale Surace

7 papers receiving 332 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Pasquale Surace Italy 7 217 125 103 80 41 7 338
G.M. Pendino Italy 5 257 1.2× 59 0.5× 168 1.6× 76 0.9× 49 1.2× 5 315
Guobo Xie China 10 175 0.8× 89 0.7× 34 0.3× 200 2.5× 66 1.6× 30 372
R. Ravikumar India 7 204 0.9× 146 1.2× 52 0.5× 222 2.8× 94 2.3× 9 384
Sailimai Man China 9 117 0.5× 41 0.3× 47 0.5× 57 0.7× 49 1.2× 28 255
Marcelo Garcia Toneto Brazil 7 263 1.2× 41 0.3× 95 0.9× 146 1.8× 125 3.0× 21 397
Neven Franjić Croatia 5 249 1.1× 37 0.3× 139 1.3× 84 1.1× 127 3.1× 11 340
M Armigliato Italy 11 202 0.9× 37 0.3× 172 1.7× 127 1.6× 92 2.2× 26 419
G Passarino Italy 8 134 0.6× 46 0.4× 50 0.5× 135 1.7× 158 3.9× 16 356
Maurizio Tonizzo Italy 9 95 0.4× 65 0.5× 63 0.6× 68 0.8× 77 1.9× 26 269
Beniamino Zalunardo Italy 5 215 1.0× 52 0.4× 39 0.4× 141 1.8× 87 2.1× 11 310

Countries citing papers authored by Pasquale Surace

Since Specialization
Citations

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

Fields of papers citing papers by Pasquale Surace

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pasquale Surace

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

All Works

7 of 7 papers shown
1.
Caserta, Carmelo Antonio, Alfonso Mele, Pasquale Surace, et al.. (2018). Association of non-alcoholic fatty liver disease and cardiometabolic risk factors with early atherosclerosis in an adult population in Southern Italy.. PubMed. 53(1). 77–81. 9 indexed citations
2.
Franzini, Maria, Valentina Lorenzoni, Silvia Masotti, et al.. (2014). The calculation of the cardiac troponin T 99th percentile of the reference population is affected by age, gender, and population selection: A multicenter study in Italy. Clinica Chimica Acta. 438. 376–381. 73 indexed citations
3.
Caserta, Carmelo Antonio, G.M. Pendino, Angela Amante, et al.. (2010). Cardiovascular Risk Factors, Nonalcoholic Fatty Liver Disease, and Carotid Artery Intima-Media Thickness in an Adolescent Population in Southern Italy. American Journal of Epidemiology. 171(11). 1195–1202. 67 indexed citations
4.
Caserta, Carmelo Antonio, G.M. Pendino, Saverio Alicante, et al.. (2010). Body Mass Index, Cardiovascular Risk Factors, and Carotid Intima‐Media Thickness in a Pediatric Population in Southern Italy. Journal of Pediatric Gastroenterology and Nutrition. 51(2). 216–220. 25 indexed citations
5.
Mariano, Andrea, Carmelo Antonio Caserta, G.M. Pendino, et al.. (2009). Antiviral treatment for hepatitis C virus infection: Effectiveness at general population level in a highly endemic area. Digestive and Liver Disease. 41(7). 509–515. 12 indexed citations
6.
Baldari, Sergio, et al.. (2006). Evaluation of Chromogranin A Expression in Patients with Non-Neuroendocrine Tumours. Clinical Drug Investigation. 26(12). 715–722. 14 indexed citations
7.
Pendino, G.M., Andrea Mariano, Pasquale Surace, et al.. (2005). Prevalence and etiology of altered liver tests. Hepatology. 41(5). 1151–1159. 138 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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