Margherita Botta

829 total citations
17 papers, 602 citations indexed

About

Margherita Botta is a scholar working on Surgery, Molecular Biology and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Margherita Botta has authored 17 papers receiving a total of 602 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Surgery, 5 papers in Molecular Biology and 4 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Margherita Botta's work include Lipoproteins and Cardiovascular Health (5 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (4 papers) and Cancer, Lipids, and Metabolism (3 papers). Margherita Botta is often cited by papers focused on Lipoproteins and Cardiovascular Health (5 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (4 papers) and Cancer, Lipids, and Metabolism (3 papers). Margherita Botta collaborates with scholars based in Italy, Sweden and Australia. Margherita Botta's co-authors include Massimiliano Ruscica, Cesare R. Sirtori, Matteo Audano, Nico Mitro, Amirhossein Sahebkar, Chiara Macchi, Paolo Magni, Nicola Ferri, Laura Calabresi and Liliana Grigore and has published in prestigious journals such as PLoS ONE, Scientific Reports and International Journal of Molecular Sciences.

In The Last Decade

Margherita Botta

17 papers receiving 595 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Margherita Botta Italy 11 272 225 113 84 80 17 602
Andreas Sourlas Greece 12 240 0.9× 102 0.5× 172 1.5× 49 0.6× 83 1.0× 18 517
Susan A. Lagerstedt United States 10 126 0.5× 172 0.8× 105 0.9× 69 0.8× 106 1.3× 11 750
Annika Asplund Sweden 12 348 1.3× 216 1.0× 201 1.8× 58 0.7× 158 2.0× 18 741
Hironobu Mitani Japan 16 206 0.8× 118 0.5× 123 1.1× 48 0.6× 44 0.6× 27 489
В. В. Кухарчук Russia 13 301 1.1× 161 0.7× 75 0.7× 45 0.5× 54 0.7× 91 737
Hye Jin Wang South Korea 11 146 0.5× 161 0.7× 134 1.2× 52 0.6× 56 0.7× 14 503
Sandra Bacon United States 11 368 1.4× 247 1.1× 193 1.7× 61 0.7× 103 1.3× 16 629
Michele Bortolini Switzerland 10 143 0.5× 196 0.9× 77 0.7× 75 0.9× 44 0.6× 10 644
Dagmara Mohuczy United States 12 149 0.5× 303 1.3× 190 1.7× 66 0.8× 81 1.0× 17 913
Francesca Charlton Australia 10 437 1.6× 160 0.7× 203 1.8× 26 0.3× 114 1.4× 13 766

Countries citing papers authored by Margherita Botta

Since Specialization
Citations

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

Fields of papers citing papers by Margherita Botta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Margherita Botta

This figure shows the co-authorship network connecting the top 25 collaborators of Margherita Botta. A scholar is included among the top collaborators of Margherita Botta 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 Margherita Botta. Margherita Botta 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.
Macchi, Chiara, Maria Francesca Greco, Margherita Botta, et al.. (2020). Leptin, Resistin, and Proprotein Convertase Subtilisin/Kexin Type 9. American Journal Of Pathology. 190(11). 2226–2236. 29 indexed citations
2.
Botta, Margherita, Elisabeth Maurer, Massimiliano Ruscica, et al.. (2019). Deciphering the role of V200A and N291S mutations leading to LPL deficiency. Atherosclerosis. 282. 45–51. 10 indexed citations
3.
4.
Conti, Elisa, Alberto Corsini, Margherita Botta, et al.. (2019). Irisin and BDNF serum levels and behavioral disturbances in Alzheimer’s disease. Neurological Sciences. 40(6). 1145–1150. 14 indexed citations
5.
Ruscica, Massimiliano, Margherita Botta, Nicola Ferri, et al.. (2018). High Density Lipoproteins Inhibit Oxidative Stress-Induced Prostate Cancer Cell Proliferation. Scientific Reports. 8(1). 2236–2236. 36 indexed citations
6.
Pavanello, Chiara, Anna Maria Zanaboni, Sabrina Gaito, et al.. (2018). Influence of body variables in the development of metabolic syndrome—A long term follow-up study. PLoS ONE. 13(2). e0192751–e0192751. 10 indexed citations
7.
Ruscica, Massimiliano, Sara Simonelli, Margherita Botta, et al.. (2018). Plasma PCSK9 levels and lipoprotein distribution are preserved in carriers of genetic HDL disorders. Biochimica et Biophysica Acta (BBA) - Molecular and Cell Biology of Lipids. 1863(9). 991–997. 14 indexed citations
8.
Strollo, Felice, Chiara Macchi, Ivano Eberini, et al.. (2018). Body composition and metabolic changes during a 520-day mission simulation to Mars. Journal of Endocrinological Investigation. 41(11). 1267–1273. 14 indexed citations
9.
Dalt, Lorenzo Da, Massimiliano Ruscica, Fabrizia Bonacina, et al.. (2018). PCSK9 deficiency reduces insulin secretion and promotes glucose intolerance: the role of the low-density lipoprotein receptor. European Heart Journal. 40(4). 357–368. 134 indexed citations
10.
Botta, Margherita, Matteo Audano, Amirhossein Sahebkar, et al.. (2018). PPAR Agonists and Metabolic Syndrome: An Established Role?. International Journal of Molecular Sciences. 19(4). 1197–1197. 194 indexed citations
11.
Zenti, Maria Grazia, Maria Giovanna Lupo, Margherita Botta, et al.. (2018). From lipoprotein apheresis to proprotein convertase subtilisin/kexin type 9 inhibitors: Impact on low-density lipoprotein cholesterol and C-reactive protein levels in cardiovascular disease patients. European Journal of Preventive Cardiology. 25(17). 1843–1851. 12 indexed citations
12.
Ruscica, Massimiliano, Margherita Botta, Chiara Macchi, et al.. (2017). Pro-inflammatory cytokines and adipokines regulate PCSK9 expression in HepG2 cells. Nutrition Metabolism and Cardiovascular Diseases. 27(1). e35–e35. 1 indexed citations
13.
Ruscica, Massimiliano, Nicola Ferri, Federica Fogacci, et al.. (2017). Circulating Levels of Proprotein Convertase Subtilisin/Kexin Type 9 and Arterial Stiffness in a Large Population Sample: Data From the Brisighella Heart Study. Journal of the American Heart Association. 6(5). 65 indexed citations
14.
Bussolati, Gianni, et al.. (1997). Cytolytic and tumor inhibitory antibodies against UK114 protein in the sera of cancer patients. International Journal of Oncology. 10(4). 779–85. 13 indexed citations
15.
Bartorelli, A, Carlo M. Biancardi, Viviana Cavalca, et al.. (1996). Purification and partial characterization of proteins present in a perchloric acid extract of goat liver (UK101). 11(1). 57–61. 4 indexed citations
16.
Becerra, José, et al.. (1983). Two new chromenes from eupatorium glechonophyllum less. Revista latinoamericana de química. 14(2). 92–94. 3 indexed citations
17.
Nespoli, Luigi, et al.. (1982). Clinical Controlled Study of Fentiazac Compared with Placebo in Septic-Inflammatory Pathology of Children's Diseases. Journal of International Medical Research. 10(3). 183–188. 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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