Luana Mercuri

638 total citations
17 papers, 319 citations indexed

About

Luana Mercuri is a scholar working on Molecular Biology, Surgery and Genetics. According to data from OpenAlex, Luana Mercuri has authored 17 papers receiving a total of 319 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 8 papers in Surgery and 7 papers in Genetics. Recurrent topics in Luana Mercuri's work include Diabetes Treatment and Management (5 papers), Genetic Associations and Epidemiology (4 papers) and Pancreatic function and diabetes (4 papers). Luana Mercuri is often cited by papers focused on Diabetes Treatment and Management (5 papers), Genetic Associations and Epidemiology (4 papers) and Pancreatic function and diabetes (4 papers). Luana Mercuri collaborates with scholars based in Italy, United States and Netherlands. Luana Mercuri's co-authors include Annalucia Serafino, Pasquale Pierimarchi, Manuela Zonfrillo, Noemi Moroni, Sabrina Prudente, Guido Rasi, Federica Andreola, Vincenzo Trischitta, Francesca Wannenes and Fernanda Andreola and has published in prestigious journals such as Diabetes, Atherosclerosis and Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease.

In The Last Decade

Luana Mercuri

16 papers receiving 313 citations

Peers

Luana Mercuri

GENET

SURGE

EDM

Makiko Hoshiya United States

Mehri Khatami Iran

Kyoko Tanimura Japan

Namiki Ueda Japan

Masashi Sagara Japan

Zhiyuan Zhao China

Laurent Bermont France

James N. McGuire Denmark

Soledad Kleppe United States

Noriyo Hayakawa Japan

Makiko Hoshiya United States

Luana Mercuri

152 ×0.9

62 ×0.7

GENET

25 ×0.3

SURGE

31 ×0.5

EDM

12 ×0.3

Citations per year, relative to Luana Mercuri Luana Mercuri (= 1×) peers Makiko Hoshiya

Countries citing papers authored by Luana Mercuri

Since Specialization

Citations

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

Fields of papers citing papers by Luana Mercuri

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Luana Mercuri

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

All Works

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17 of 17 papers shown

Prudente, Sabrina, Francesco Andreozzi, Luana Mercuri, et al.. (2022). Contribution of ONECUT1 variants to different forms of non-autoimmune diabetes mellitus in Italian patients. Acta Diabetologica. 59(8). 1113–1116. 3 indexed citations

Elouej, Sahar, Haifa Jmel, Luana Mercuri, et al.. (2019). Genetic characterization of suspected MODY patients in Tunisia by targeted next-generation sequencing. Acta Diabetologica. 56(5). 515–523. 17 indexed citations

Ludovico, Ornella, Tommaso Biagini, Luana Mercuri, et al.. (2017). Insights From Molecular Characterization of Adult Patients of Families With Multigenerational Diabetes. Diabetes. 67(1). 137–145. 17 indexed citations

Prudente, Sabrina, Rosa Di Paola, Monia Garofolo, et al.. (2017). Pharmacogenetics of oral antidiabetes drugs: evidence for diverse signals at the IRS1 locus. The Pharmacogenomics Journal. 18(3). 431–435. 10 indexed citations

Pacilli, Antonio, Sabrina Prudente, Massimiliano Copetti, et al.. (2016). The PPARγ2 P12A polymorphism is not associated with all-cause mortality in patients with type 2 diabetes mellitus. Endocrine. 54(1). 38–46.

Prudente, Sabrina, Rosa Di Paola, Massimiliano Copetti, et al.. (2016). The rs12917707 polymorphism at the UMOD locus and glomerular filtration rate in individuals with type 2 diabetes: evidence of heterogeneity across two different European populations. Nephrology Dialysis Transplantation. 32(10). 1718–1722. 12 indexed citations

Prudente, Sabrina, Diego Bailetti, Christine Mendonça, et al.. (2015). Infrequent TRIB3 coding variants and coronary artery disease in type 2 diabetes. Atherosclerosis. 242(1). 334–339. 6 indexed citations

Prudente, Sabrina, Hetal Shah, Diego Bailetti, et al.. (2015). Genetic Variant at the GLUL Locus Predicts All-Cause Mortality in Patients With Type 2 Diabetes. Diabetes. 64(7). 2658–2663. 23 indexed citations

Serafino, Annalucia, Noemi Moroni, Manuela Zonfrillo, et al.. (2014). WNT-pathway components as predictive markers useful for diagnosis, prevention and therapy in inflammatory bowel disease and sporadic colorectal cancer. Oncotarget. 5(4). 978–992. 57 indexed citations

10.

Prudente, Sabrina, Eleonora Morini, Daniela Lucchesi, et al.. (2014). IRS1 G972R Missense Polymorphism Is Associated With Failure to Oral Antidiabetes Drugs in White Patients With Type 2 Diabetes From Italy. Diabetes. 63(9). 3135–3140. 12 indexed citations

11.

Prudente, Sabrina, Massimiliano Copetti, Eleonora Morini, et al.. (2013). The SH2B1 obesity locus and abnormal glucose homeostasis: Lack of evidence for association from a meta-analysis in individuals of European ancestry. Nutrition Metabolism and Cardiovascular Diseases. 23(11). 1043–1049. 6 indexed citations

12.

Serafino, Annalucia, Noemi Moroni, Manuela Zonfrillo, et al.. (2012). Anti-proliferative effect of atrial natriuretic peptide on colorectal cancer cells: Evidence for an Akt-mediated cross-talk between NHE-1 activity and Wnt/β-catenin signaling. Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease. 1822(6). 1004–1018. 54 indexed citations

13.

Cosmo, Salvatore De, Sabrina Prudente, Olga Lamacchia, et al.. (2012). The 9p21 coronary artery disease locus and kidney dysfunction in patients with Type 2 diabetes mellitus. Nephrology Dialysis Transplantation. 27(12). 4411–4413. 5 indexed citations

14.

Sharma, Rajani, Sabrina Prudente, Francesco Andreozzi, et al.. (2011). The type 2 diabetes and insulin-resistance locus near IRS1 is a determinant of HDL cholesterol and triglycerides levels among diabetic subjects. Atherosclerosis. 216(1). 157–160. 19 indexed citations

15.

Serafino, Annalucia, Manuela Zonfrillo, Fernanda Andreola, et al.. (2011). CD44-Targeting for Antitumor Drug Delivery: A New SN-38-Hyaluronan Bioconjugate for Locoregional Treatment of Peritoneal Carcinomatosis. Current Cancer Drug Targets. 11(5). 572–585. 52 indexed citations

16.

Carducci, Carla, Vincenzo Leuzzi, Claudia Carducci, et al.. (2000). Two New Severe Mutations Causing Guanidinoacetate Methyltransferase Deficiency. Molecular Genetics and Metabolism. 71(4). 633–638. 22 indexed citations

17.

Crouse, John R., John J.P. Kastelein, Jonathan L. Isaacsohn, et al.. (2000). A large, 36 week study of the HDL-C raising effects and safety of simvastatin versus atorvastatin. Atherosclerosis. 151(1). 8–9. 4 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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