Flavia Impronta

410 total citations
9 papers, 317 citations indexed

About

Flavia Impronta is a scholar working on Surgery, Endocrinology, Diabetes and Metabolism and Molecular Biology. According to data from OpenAlex, Flavia Impronta has authored 9 papers receiving a total of 317 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Surgery, 6 papers in Endocrinology, Diabetes and Metabolism and 5 papers in Molecular Biology. Recurrent topics in Flavia Impronta's work include Pancreatic function and diabetes (5 papers), Diabetes and associated disorders (3 papers) and Diabetes Treatment and Management (3 papers). Flavia Impronta is often cited by papers focused on Pancreatic function and diabetes (5 papers), Diabetes and associated disorders (3 papers) and Diabetes Treatment and Management (3 papers). Flavia Impronta collaborates with scholars based in Italy and Denmark. Flavia Impronta's co-authors include C. Cefalo, Andrea Giaccari, Simona Moffa, Teresa Mezza, Francesca Cinti, Gian Pio Sorice, Alfredo Pontecorvi, Gianfranco Di Giuseppe, Umberto Capece and Andrea Mari and has published in prestigious journals such as Journal of Clinical Investigation, The Journal of Clinical Endocrinology & Metabolism and Metabolism.

In The Last Decade

Flavia Impronta

9 papers receiving 313 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Flavia Impronta Italy 8 219 137 136 44 37 9 317
Aowen Zhuang Australia 9 149 0.7× 114 0.8× 100 0.7× 32 0.7× 56 1.5× 18 383
Yifei Chen China 10 305 1.4× 151 1.1× 109 0.8× 27 0.6× 52 1.4× 32 468
Miriam Kozárová Slovakia 9 179 0.8× 120 0.9× 156 1.1× 30 0.7× 16 0.4× 25 274
Taro Okamoto Japan 12 215 1.0× 121 0.9× 143 1.1× 45 1.0× 18 0.5× 32 438
Sho Sugahara Japan 5 173 0.8× 92 0.7× 106 0.8× 21 0.5× 93 2.5× 11 316
Emily J. Johnson United States 8 179 0.8× 134 1.0× 93 0.7× 11 0.3× 26 0.7× 10 398
Zhiqiang Lu China 11 125 0.6× 119 0.9× 93 0.7× 15 0.3× 31 0.8× 36 348
Naoto Terami Japan 5 248 1.1× 116 0.8× 124 0.9× 10 0.2× 22 0.6× 5 365
Angela L. Harris United States 4 258 1.2× 139 1.0× 189 1.4× 16 0.4× 41 1.1× 5 346
Nicole Flemming Australia 7 112 0.5× 125 0.9× 83 0.6× 18 0.4× 42 1.1× 9 315

Countries citing papers authored by Flavia Impronta

Since Specialization
Citations

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

Fields of papers citing papers by Flavia Impronta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Flavia Impronta

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

All Works

9 of 9 papers shown
1.
Moffa, Simona, Teresa Mezza, Pietro Manuel Ferraro, et al.. (2023). Effects of PCSK9 inhibition on glucose metabolism and β-cell function in humans: a pilot study. Frontiers in Endocrinology. 14. 1124116–1124116. 1 indexed citations
2.
Mezza, Teresa, Pietro Manuel Ferraro, Gianfranco Di Giuseppe, et al.. (2021). Pancreaticoduodenectomy model demonstrates a fundamental role of dysfunctional β cells in predicting diabetes. Journal of Clinical Investigation. 131(12). 26 indexed citations
3.
Giuseppe, Gianfranco Di, C. Cefalo, Francesca Cinti, et al.. (2021). Prediabetes: how pathophysiology drives potential intervention on a subclinical disease with feared clinical consequences. Minerva Endocrinology. 46(3). 272–292. 11 indexed citations
4.
Cinti, Francesca, Teresa Mezza, Ilenia Severi, et al.. (2020). Noradrenergic fibers are associated with beta-cell dedifferentiation and impaired beta-cell function in humans. Metabolism. 114. 154414–154414. 16 indexed citations
5.
Cefalo, C., Francesca Cinti, Simona Moffa, et al.. (2019). Sotagliflozin, the first dual SGLT inhibitor: current outlook and perspectives. Cardiovascular Diabetology. 18(1). 20–20. 130 indexed citations
6.
Bárbaro, Giuseppe, Fabio Rossi, Chiara Marzano, et al.. (2019). Epicardial fat: the role of testosterone and lipid metabolism in a cohort of patients with Klinefelter syndrome. Metabolism. 95. 21–26. 14 indexed citations
7.
Mezza, Teresa, Simona Moffa, Pietro Manuel Ferraro, et al.. (2019). Bile Modulates Secretion of Incretins and Insulin: A Study of Human Extrahepatic Cholestasis. The Journal of Clinical Endocrinology & Metabolism. 104(7). 2685–2694. 7 indexed citations
8.
Moffa, Simona, Teresa Mezza, C. Cefalo, et al.. (2019). The Interplay between Immune System and Microbiota in Diabetes. Mediators of Inflammation. 2019. 1–10. 33 indexed citations
9.
Cinti, Francesca, Simona Moffa, Flavia Impronta, et al.. (2017). Spotlight on ertugliflozin and its potential in the treatment of type 2 diabetes: evidence to date. Drug Design Development and Therapy. Volume 11. 2905–2919. 79 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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