Marina Marino

954 total citations
32 papers, 559 citations indexed

About

Marina Marino is a scholar working on Endocrinology, Diabetes and Metabolism, Cardiology and Cardiovascular Medicine and Artificial Intelligence. According to data from OpenAlex, Marina Marino has authored 32 papers receiving a total of 559 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Endocrinology, Diabetes and Metabolism, 4 papers in Cardiology and Cardiovascular Medicine and 4 papers in Artificial Intelligence. Recurrent topics in Marina Marino's work include Blood Pressure and Hypertension Studies (3 papers), Hormonal Regulation and Hypertension (3 papers) and Sparse and Compressive Sensing Techniques (2 papers). Marina Marino is often cited by papers focused on Blood Pressure and Hypertension Studies (3 papers), Hormonal Regulation and Hypertension (3 papers) and Sparse and Compressive Sensing Techniques (2 papers). Marina Marino collaborates with scholars based in Italy, France and Canada. Marina Marino's co-authors include Valentina Trimarco, Maria Gabriella Grassia, Bruno Trimarco, Letìzia Spinelli, Guido Iaccarino, Carmine Vecchione, Carlo Natale Lauro, Albino Carrizzo, Antonio Damato and Annibale Alessandro Puca and has published in prestigious journals such as SHILAP Revista de lepidopterología, Hypertension and Arteriosclerosis Thrombosis and Vascular Biology.

In The Last Decade

Marina Marino

30 papers receiving 539 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Marina Marino Italy	14	132	80	67	53	52	32	559
Wan‐Ming Chen China	15	75 0.6×	76 0.9×	69 1.0×	81 1.5×	23 0.4×	135	750
Vakaramoko Diaby United States	15	57 0.4×	64 0.8×	20 0.3×	69 1.3×	47 0.9×	76	1.1k
Anne Nguyen Australia	15	32 0.2×	131 1.6×	25 0.4×	51 1.0×	29 0.6×	55	594
Ming‐Chin Lin Taiwan	15	64 0.5×	81 1.0×	50 0.7×	134 2.5×	35 0.7×	47	618
Esha Jain United States	13	117 0.9×	364 4.5×	47 0.7×	44 0.8×	25 0.5×	35	1.1k
Jennifer Franklin United States	17	383 2.9×	129 1.6×	120 1.8×	114 2.2×	41 0.8×	30	1.1k
Kazunobu Yamauchi Japan	17	285 2.2×	190 2.4×	120 1.8×	81 1.5×	90 1.7×	76	1.0k
Somya D. Mohanty United States	8	58 0.4×	26 0.3×	20 0.3×	15 0.3×	31 0.6×	26	643

Countries citing papers authored by Marina Marino

Since Specialization

Citations

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

Fields of papers citing papers by Marina Marino

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marina Marino

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

All Works

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20 of 20 papers shown

Aria, Massimo, et al.. (2024). Mapping the evolution of gender dysphoria research: a comprehensive bibliometric study. Quality & Quantity. 58(6). 5351–5375. 2 indexed citations

Grassia, Maria Gabriella, et al.. (2024). Importance Performance Matrix Analysis for Assessing User Experience with Intelligent Voice Assistants: A Strategic Evaluation. Social Indicators Research. 178(3). 1053–1079. 2 indexed citations

Grassia, Maria Gabriella, et al.. (2022). Regional Competitiveness: A Structural-Based Topic Analysis on Recent Literature. Social Indicators Research. 173(1). 83–108. 16 indexed citations

Grassia, Maria Gabriella, et al.. (2020). The Use of Partial Least Squares–Path Modelling to Understand the Impact of Ambivalent Sexism on Violence-Justification among Adolescents. International Journal of Environmental Research and Public Health. 17(14). 4991–4991. 14 indexed citations

Marino, Marina, et al.. (2018). The Politics of Big Data Assemblages. SHILAP Revista de lepidopterología. 2 indexed citations

Schiattarella, Gabriele G., Albino Carrizzo, Federica Ilardi, et al.. (2018). Rac1 Modulates Endothelial Function and Platelet Aggregation in Diabetes Mellitus. Journal of the American Heart Association. 7(8). 29 indexed citations

Naviglio, Daniele, et al.. (2018). New food approaches to reduce and/or eliminate increased gastric acidity related to gastroesophageal pathologies. Nutrition. 54. 26–32. 17 indexed citations

Grassia, Maria Gabriella, et al.. (2017). Data Science and Social Research. CERN Document Server (European Organization for Nuclear Research). 7 indexed citations

Tortora, Cristina, et al.. (2015). Factor probabilistic distance clustering (FPDC): a new clustering method. Advances in Data Analysis and Classification. 10(4). 441–464. 9 indexed citations

10.

Trimarco, Valentina, Raffaele Izzo, Francesco Rozza, et al.. (2014). Should Thiazide Diuretics be Given as First Line Antihypertensive Therapy or in Addition to Other Medications?. High Blood Pressure & Cardiovascular Prevention. 22(1). 55–59. 1 indexed citations

11.

Naviglio, Daniele, et al.. (2014). Study of the effects of a diet supplemented with active components on lipid and glycemic profiles. Nutrition. 31(1). 180–186. 8 indexed citations

12.

Rozza, Francesco, Valentina Trimarco, Raffaele Izzo, et al.. (2013). Antihypertensive Response to Combination of Olmesartan and Amlodipine Does Not Depend on Method and Time of Drug Administration. High Blood Pressure & Cardiovascular Prevention. 20(1). 25–32. 2 indexed citations

13.

Kisialiou, Aliaksei, Albino Carrizzo, Giovanni Grillea, et al.. (2012). Blood biomarkers role in acute ischemic stroke patients: higher is worse or better?. Immunity & Ageing. 9(1). 22–22. 20 indexed citations

14.

Trimarco, Valentina, Giovanni de Simone, Raffaele Izzo, et al.. (2012). Persistence and adherence to antihypertensive treatment in relation to initial prescription. Journal of Hypertension. 30(6). 1225–1232. 7 indexed citations

15.

Menni, Cristina, L Boffi, Francesca Cesana, et al.. (2012). Variant on chromosome 9p is associated with left ventricular mass. Journal of Hypertension. 30(11). 2144–2150. 2 indexed citations

16.

Marino, Marina & Agnieszka Elzbieta Stawinoga. (2011). Statistical Methods for Social Networks: A Focus on Parallel Computing. 1 indexed citations

17.

Corsaro, Stefania & Marina Marino. (2010). Archetypal Analysis of Interval Data. Reliable Computing. 14. 105–116. 2 indexed citations

18.

Spinelli, Letìzia, et al.. (2009). L41Q Polymorphism of the G Protein Coupled Receptor Kinase 5 is Associated with Left Ventricular Apical Ballooning Syndrome. European Journal of Heart Failure. 12(1). 13–16. 89 indexed citations

19.

Marino, Marina, et al.. (1999). Final results of a co-operation between China and Europe. PORTO Publications Open Repository TOrino (Politecnico di Torino). 1 indexed citations

20.

Marino, Marina, et al.. (1999). Francesco Florimo e l'Ottocento musicale, Atti del Convegno (Morcone, 19-21 aprile 1990.

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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