Marina Padroni

1.3k total citations
19 papers, 442 citations indexed

About

Marina Padroni is a scholar working on Epidemiology, Neurology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Marina Padroni has authored 19 papers receiving a total of 442 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Epidemiology, 8 papers in Neurology and 5 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Marina Padroni's work include Acute Ischemic Stroke Management (10 papers), Cerebrovascular and Carotid Artery Diseases (5 papers) and Multiple Sclerosis Research Studies (3 papers). Marina Padroni is often cited by papers focused on Acute Ischemic Stroke Management (10 papers), Cerebrovascular and Carotid Artery Diseases (5 papers) and Multiple Sclerosis Research Studies (3 papers). Marina Padroni collaborates with scholars based in Italy, Switzerland and Canada. Marina Padroni's co-authors include Enrico Fainardi, Ilaria Casetta, Fabrizio Montecucco, Federico Carbone, Franco Dallegri, David Rodríguez‐Luna, Pilar Coscojuela, Jorge Pagola, Carlos A. Molina and Marta Rubiera and has published in prestigious journals such as PLoS ONE, Neurology and Stroke.

In The Last Decade

Marina Padroni

19 papers receiving 438 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Marina Padroni 259 130 128 91 78 19 442
Walter Moeller‐Hartmann 346 1.3× 177 1.4× 175 1.4× 39 0.4× 31 0.4× 21 552
Elodie Ong 169 0.7× 113 0.9× 63 0.5× 27 0.3× 18 0.2× 30 371
Martha Marko 269 1.0× 104 0.8× 207 1.6× 55 0.6× 22 0.3× 27 398
Fabian Arnberg 130 0.5× 71 0.5× 65 0.5× 49 0.5× 21 0.3× 34 365
Sa Rah Yoon 426 1.6× 248 1.9× 273 2.1× 66 0.7× 14 0.2× 11 560
Martin Hlavica 161 0.6× 116 0.9× 109 0.9× 20 0.2× 15 0.2× 14 375
N Futrell 207 0.8× 161 1.2× 184 1.4× 21 0.2× 67 0.9× 13 531
Matthew Tenser 152 0.6× 109 0.8× 106 0.8× 43 0.5× 13 0.2× 16 418
Adrian M Burgos 170 0.7× 59 0.5× 63 0.5× 48 0.5× 21 0.3× 4 242
Timothy J. Schaewe 195 0.8× 109 0.8× 80 0.6× 28 0.3× 12 0.2× 9 367

Countries citing papers authored by Marina Padroni

Since Specialization
Citations

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

Fields of papers citing papers by Marina Padroni

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marina Padroni

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

All Works

19 of 19 papers shown
1.
Antonioni, Annibale, et al.. (2023). Cerebral Venous Thrombosis during Thyrotoxicosis: Case Report and Literature Update. Journal of Personalized Medicine. 13(11). 1557–1557. 2 indexed citations
2.
3.
Antonioni, Annibale, Carlos E. S. Cesnik, Marina Padroni, et al.. (2022). Case Report: A Case of Creutzfeldt–Jakob Heidenhain Variant Simulating PRES. Diagnostics. 12(7). 1558–1558. 1 indexed citations
4.
Foschi, Matteo, Marina Padroni, Samir Abu‐Rumeileh, et al.. (2022). Diagnostic and Prognostic Blood Biomarkers in Transient Ischemic Attack and Minor Ischemic Stroke: An Up-To-Date Narrative Review. Journal of Stroke and Cerebrovascular Diseases. 31(3). 106292–106292. 11 indexed citations
5.
Padroni, Marina, et al.. (2022). Stroke admissions during the COVID-19 pandemic: a single-center retrospective analysis. Neurological Sciences. 43(9). 5169–5174. 4 indexed citations
6.
Asioli, Gian Maria, et al.. (2020). Bilateral extensive corticospinal tract lesions in MOG antibody–associated disease. Neurology. 95(14). 648–649. 7 indexed citations
7.
Pezzini, Alessandro, Giorgio Busto, Marialuisa Zedde, et al.. (2018). Vulnerability to Infarction During Cerebral Ischemia in Migraine Sufferers. Stroke. 49(3). 573–578. 29 indexed citations
8.
Carbone, Federico, Giorgio Busto, Marina Padroni, et al.. (2018). Radiologic Cerebral Reperfusion at 24 h Predicts Good Clinical Outcome. Translational Stroke Research. 10(2). 178–188. 22 indexed citations
9.
Liberale, Luca, Fabrizio Montecucco, Aldo Bonaventura, et al.. (2017). Monocyte count at onset predicts poststroke outcomes during a 90-day follow-up. European Journal of Clinical Investigation. 47(10). 702–710. 33 indexed citations
10.
Boned, Sandra, Marina Padroni, Marta Rubiera, et al.. (2016). Admission CT perfusion may overestimate initial infarct core: the ghost infarct core concept. Journal of NeuroInterventional Surgery. 9(1). 66–69. 124 indexed citations
11.
Padroni, Marina, Sandra Boned, Marc Ribó, et al.. (2016). CBV_ASPECTS Improvement over CT_ASPECTS on Determining Irreversible Ischemic Lesion Decreases over Time. Interventional Neurology. 5(3-4). 140–147. 8 indexed citations
12.
Padroni, Marina, Carmine Tamborino, Massimo Borrelli, et al.. (2016). Cerebral Blood Volume ASPECTS Is the Best Predictor of Clinical Outcome in Acute Ischemic Stroke: A Retrospective, Combined Semi-Quantitative and Quantitative Assessment. PLoS ONE. 11(1). e0147910–e0147910. 40 indexed citations
13.
Carbone, Federico, Nathalie Satta, Fabrizio Montecucco, et al.. (2016). Anti‐ApoA‐1 IgG serum levels predict worse poststroke outcomes. European Journal of Clinical Investigation. 46(9). 805–817. 13 indexed citations
14.
Liberale, Luca, Fabrizio Montecucco, Ilaria Casetta, et al.. (2016). Decreased serum PCSK9 levels after ischaemic stroke predict worse outcomes. European Journal of Clinical Investigation. 46(12). 1053–1062. 8 indexed citations
15.
Carbone, Federico, Nicolas Vuilleumier, Fabienne Burger, et al.. (2015). Serum osteopontin levels are upregulated and predict disability after an ischaemic stroke. European Journal of Clinical Investigation. 45(6). 579–586. 37 indexed citations
16.
d’Esterre, Christopher D., Marina Padroni, Carmine Tamborino, et al.. (2015). CT perfusion cerebral blood volume does not always predict infarct core in acute ischemic stroke. Neurological Sciences. 36(10). 1777–1783. 16 indexed citations
17.
Carbone, Federico, Fabienne Burger, Carmine Tamborino, et al.. (2015). Leptin/adiponectin ratio predicts poststroke neurological outcome. European Journal of Clinical Investigation. 45(11). 1184–1191. 20 indexed citations
18.
Castellazzi, Massimiliano, et al.. (2014). Comparison of DNA-Hydrolyzing Antibodies from the Cerebrospinal Fluid and Serum of Patients with Multiple Sclerosis. PLoS ONE. 9(4). e93001–e93001. 28 indexed citations
19.
Castellazzi, Massimiliano, et al.. (2014). Comparison of Antibodies Hydrolyzing Myelin Basic Protein from the Cerebrospinal Fluid and Serum of Patients with Multiple Sclerosis. PLoS ONE. 9(9). e107807–e107807. 36 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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