A. Bertacca

518 total citations
10 papers, 282 citations indexed

About

A. Bertacca is a scholar working on Molecular Biology, Surgery and Physiology. According to data from OpenAlex, A. Bertacca has authored 10 papers receiving a total of 282 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 4 papers in Surgery and 4 papers in Physiology. Recurrent topics in A. Bertacca's work include Metabolism, Diabetes, and Cancer (4 papers), Pancreatic function and diabetes (4 papers) and Protein Kinase Regulation and GTPase Signaling (3 papers). A. Bertacca is often cited by papers focused on Metabolism, Diabetes, and Cancer (4 papers), Pancreatic function and diabetes (4 papers) and Protein Kinase Regulation and GTPase Signaling (3 papers). A. Bertacca collaborates with scholars based in Italy, China and France. A. Bertacca's co-authors include Luca Benzi, Margherita Maffei, Stefano Del Prato, Chiara Chiellini, Renzo Navalesi, P Cecchetti, Paul Cohen, Piero Berti, Giovanna Scartabelli and Alessandro Marsili and has published in prestigious journals such as The Journal of Clinical Endocrinology & Metabolism, Biochemical and Biophysical Research Communications and Journal of the American Society of Nephrology.

In The Last Decade

A. Bertacca

10 papers receiving 276 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
A. Bertacca Italy 7 101 82 81 78 49 10 282
Pierre S. Leclère France 6 81 0.8× 98 1.2× 169 2.1× 48 0.6× 35 0.7× 7 311
Wayne Leitner United States 6 101 1.0× 161 2.0× 39 0.5× 24 0.3× 53 1.1× 8 341
Lisa Norquay United States 10 97 1.0× 162 2.0× 100 1.2× 35 0.4× 86 1.8× 19 387
Julian Tristan Schwartze Germany 7 136 1.3× 100 1.2× 93 1.1× 22 0.3× 30 0.6× 9 315
Susan N. O’Brien United States 5 120 1.2× 47 0.6× 128 1.6× 96 1.2× 20 0.4× 5 344
Christine Cavalcanti-Proença United Kingdom 4 51 0.5× 105 1.3× 69 0.9× 39 0.5× 60 1.2× 4 313
Steve Wong United Kingdom 7 140 1.4× 86 1.0× 78 1.0× 118 1.5× 46 0.9× 8 304
Francisco Campos‐Pérez Mexico 7 71 0.7× 100 1.2× 151 1.9× 25 0.3× 45 0.9× 9 314
Moshood Olatinwo United States 8 53 0.5× 175 2.1× 34 0.4× 36 0.5× 25 0.5× 9 339
Aileen X. Wang United States 9 162 1.6× 127 1.5× 55 0.7× 27 0.3× 43 0.9× 17 380

Countries citing papers authored by A. Bertacca

Since Specialization
Citations

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

Fields of papers citing papers by A. Bertacca

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of A. Bertacca

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

All Works

10 of 10 papers shown
1.
Bertacca, A., Annamaria Ciccarone, P Cecchetti, et al.. (2007). High insulin levels impair intracellular receptor trafficking in human cultured myoblasts. Diabetes Research and Clinical Practice. 78(3). 316–323. 10 indexed citations
2.
Bertacca, A., Annamaria Ciccarone, P Cecchetti, et al.. (2005). Continually high insulin levels impair Akt phosphorylation and glucose transport in human myoblasts. Metabolism. 54(12). 1687–1693. 34 indexed citations
3.
Chiellini, Chiara, Ferruccio Santini, Alessandro Marsili, et al.. (2004). Serum Haptoglobin: A Novel Marker of Adiposity in Humans. The Journal of Clinical Endocrinology & Metabolism. 89(6). 2678–2683. 97 indexed citations
4.
Chiellini, Chiara, Mario Costa, Ez‐Zoubir Amri, et al.. (2003). Identification of cathepsin K as a novel marker of adiposity in white adipose tissue. Journal of Cellular Physiology. 195(2). 309–321. 55 indexed citations
6.
Nannipieri, Monica, Giuseppe Penno, Laura Pucci, et al.. (1999). Pronatriodilatin Gene Polymorphisms, Microvascular Permeability, and Diabetic Nephropathy in Type 1 Diabetes Mellitus. Journal of the American Society of Nephrology. 10(7). 1530–1541. 14 indexed citations
7.
Lupi, R, Piero Marchetti, Margherita Maffei, et al.. (1999). Effects of Acute or Prolonged Exposure to Human Leptin on Isolated Human Islet Function. Biochemical and Biophysical Research Communications. 256(3). 637–641. 32 indexed citations
8.
Maffei, Margherita, Laura Volpe, Graziano Di Cianni, et al.. (1998). Plasma Leptin Levels in Newborns from Normal and Diabetic Mothers. Hormone and Metabolic Research. 30(9). 575–580. 32 indexed citations
9.
Navalesi, Renzo, Loredana Rizzo, Monica Nannipieri, et al.. (1995). [Hypertension and diabetes].. PubMed. 10 Suppl. 121S–129S. 2 indexed citations
10.
Simili, Marcella, P. Mazzetti, M. Cini, et al.. (1994). Contribution of Known Mitogenic Signaling Pathways to Induction of DNA Synthesis in Quiescent Chinese Hamster Fibroblasts. Experimental Cell Research. 214(2). 473–480. 3 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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