Daniela Spampinato

1.4k total citations
17 papers, 1.1k citations indexed

About

Daniela Spampinato is a scholar working on Molecular Biology, Surgery and Epidemiology. According to data from OpenAlex, Daniela Spampinato has authored 17 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 6 papers in Surgery and 6 papers in Epidemiology. Recurrent topics in Daniela Spampinato's work include Metabolism, Diabetes, and Cancer (9 papers), Pancreatic function and diabetes (6 papers) and Adipokines, Inflammation, and Metabolic Diseases (3 papers). Daniela Spampinato is often cited by papers focused on Metabolism, Diabetes, and Cancer (9 papers), Pancreatic function and diabetes (6 papers) and Adipokines, Inflammation, and Metabolic Diseases (3 papers). Daniela Spampinato collaborates with scholars based in Italy, Sweden and United States. Daniela Spampinato's co-authors include Francesco Purrello, Agata Maria Rabuazzo, Salvatore Piro, Riccardo Vigneri, Vincenzo Trischitta, Lucia Frittitta, Rosa Di Paola, Antonio Pizzuti, M. Anello and L. Spadaro and has published in prestigious journals such as The Journal of Clinical Endocrinology & Metabolism, Diabetes and The American Journal of Human Genetics.

In The Last Decade

Daniela Spampinato

17 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniela Spampinato Italy 12 532 381 332 331 268 17 1.1k
Chien-Ping Liang United States 13 646 1.2× 247 0.6× 435 1.3× 437 1.3× 264 1.0× 13 1.4k
Nir Rubins Israel 10 709 1.3× 239 0.6× 136 0.4× 451 1.4× 165 0.6× 10 1.1k
Ruslan Novosyadlyy United States 19 803 1.5× 446 1.2× 235 0.7× 199 0.6× 219 0.8× 22 1.5k
Laia Vilà Spain 13 267 0.5× 364 1.0× 465 1.4× 131 0.4× 402 1.5× 20 922
Sara A. Beddow United States 9 768 1.4× 523 1.4× 779 2.3× 411 1.2× 445 1.7× 13 1.7k
Karin Toet Netherlands 20 451 0.8× 116 0.3× 266 0.8× 235 0.7× 218 0.8× 30 1.1k
Mitsuhisa Tabata Japan 17 446 0.8× 262 0.7× 251 0.8× 124 0.4× 250 0.9× 24 1.2k
Kun Wook Chung South Korea 7 393 0.7× 187 0.5× 656 2.0× 384 1.2× 165 0.6× 8 1.2k
Nobuo Sekine Japan 15 488 0.9× 298 0.8× 75 0.2× 440 1.3× 136 0.5× 19 1.0k
Sarah Anissa Hannou France 13 372 0.7× 399 1.0× 306 0.9× 124 0.4× 305 1.1× 18 934

Countries citing papers authored by Daniela Spampinato

Since Specialization
Citations

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

Fields of papers citing papers by Daniela Spampinato

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniela Spampinato

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

All Works

17 of 17 papers shown
1.
Piro, Salvatore, et al.. (2007). Direct apoptotic effects of free fatty acids on human endothelial cells. Nutrition Metabolism and Cardiovascular Diseases. 18(2). 96–104. 37 indexed citations
2.
Piro, Salvatore, L. Spadaro, Maurizio Russello, et al.. (2007). Molecular determinants of insulin resistance, cell apoptosis and lipid accumulation in non-alcoholic steatohepatitis. Nutrition Metabolism and Cardiovascular Diseases. 18(8). 545–552. 16 indexed citations
3.
Spadaro, L., Daniela Spampinato, Salvatore Piro, et al.. (2007). Effects of n-3 polyunsaturated fatty acids in subjects with nonalcoholic fatty liver disease. Digestive and Liver Disease. 40(3). 194–199. 237 indexed citations
4.
Spadaro, L., Daniela Spampinato, Salvatore Piro, et al.. (2006). 738 Omega-3 polyunsaturated fatty acids: A pilot trial in non-alcoholic fatty liver disease. Journal of Hepatology. 44. S264–S264. 5 indexed citations
5.
Anello, M., R Lupi, Daniela Spampinato, et al.. (2005). Functional and morphological alterations of mitochondria in pancreatic beta cells from type 2 diabetic patients. Diabetologia. 48(2). 282–289. 310 indexed citations
6.
Anello, M., Daniela Spampinato, Salvatore Piro, Francesco Purrello, & Agata Maria Rabuazzo. (2004). Glucosamine-induced alterations of mitochondrial function in pancreatic β-cells: possible role of protein glycosylation. American Journal of Physiology-Endocrinology and Metabolism. 287(4). E602–E608. 24 indexed citations
7.
Spampinato, Daniela, Andrea Giaccari, Vincenzo Trischitta, et al.. (2003). Rats that are made insulin resistant by glucosamine treatment have impaired skeletal muscle insulin receptor phosphorylation. Metabolism. 52(9). 1092–1095. 10 indexed citations
8.
Baratta, Roberto, Rosa Di Paola, Daniela Spampinato, et al.. (2003). Evidence for genetic epistasis in human insulin resistance: the combined effect of PC-1 (K121Q) and PPAR?2 (P12A) polymorphisms. Journal of Molecular Medicine. 81(11). 718–723. 41 indexed citations
9.
Paola, Rosa Di, Lucia Frittitta, Giuseppe Miscio, et al.. (2002). A Variation in 3′ UTR of hPTP1B Increases Specific Gene Expression and Associates with Insulin Resistance. The American Journal of Human Genetics. 70(3). 806–812. 146 indexed citations
10.
Trischitta, Vincenzo, Rosa Di Paola, Daniela Spampinato, et al.. (2001). The Q Allele Variant (GLN121) of Membrane Glycoprotein PC-1 Interacts With the Insulin Receptor and Inhibits Insulin Signaling More Effectively Than the Common K Allele Variant (LYS121). Diabetes. 50(4). 831–836. 126 indexed citations
11.
12.
Frittitta, Lucia, Roberto Baratta, Daniela Spampinato, et al.. (2001). The Q121 PC-1 Variant and Obesity Have Additive and Independent Effects in Causing Insulin Resistance. The Journal of Clinical Endocrinology & Metabolism. 86(12). 5888–5891. 48 indexed citations
13.
Spampinato, Daniela. (2000). Insulin/Insulin-Like Growth Factor I Hybrid Receptors Overexpression Is Not an Early Defect in Insulin-Resistant Subjects. The Journal of Clinical Endocrinology & Metabolism. 85(11). 4219–4223. 2 indexed citations
14.
Spampinato, Daniela, Giuseppe Pandini, A Iuppa, et al.. (2000). Insulin/Insulin-Like Growth Factor I Hybrid Receptors Overexpression Is Not an Early Defect in Insulin-Resistant Subjects. The Journal of Clinical Endocrinology & Metabolism. 85(11). 4219–4223. 11 indexed citations
15.
Frittitta, Lucia, Paolo Sbraccia, Vittorio Tassi, et al.. (2000). High insulin levels do not influence PC-1 gene expression and protein content in human muscle tissue and hepatoma cells. Diabetes/Metabolism Research and Reviews. 16(1). 26–32. 14 indexed citations
16.
Frittitta, Lucia, Paolo Sbraccia, Vittorio Tassi, et al.. (2000). High insulin levels do not influence PC‐1 gene expression and protein content in human muscle tissue and hepatoma cells. Diabetes/Metabolism Research and Reviews. 16(1). 26–32. 1 indexed citations
17.
Frittitta, Lucia, Stefania Camastra, Roberto Baratta, et al.. (1999). A Soluble PC-1 Circulates in Human Plasma: Relationship with Insulin Resistance and Associated Abnormalities*. The Journal of Clinical Endocrinology & Metabolism. 84(10). 3620–3625. 26 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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