Marco Massarelli

724 total citations
9 papers, 219 citations indexed

About

Marco Massarelli is a scholar working on Neurology, Pathology and Forensic Medicine and Cellular and Molecular Neuroscience. According to data from OpenAlex, Marco Massarelli has authored 9 papers receiving a total of 219 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Neurology, 4 papers in Pathology and Forensic Medicine and 3 papers in Cellular and Molecular Neuroscience. Recurrent topics in Marco Massarelli's work include Multiple Sclerosis Research Studies (4 papers), Neurological disorders and treatments (3 papers) and Genetic Neurodegenerative Diseases (3 papers). Marco Massarelli is often cited by papers focused on Multiple Sclerosis Research Studies (4 papers), Neurological disorders and treatments (3 papers) and Genetic Neurodegenerative Diseases (3 papers). Marco Massarelli collaborates with scholars based in Italy, United Kingdom and United States. Marco Massarelli's co-authors include Marcello Moccia, Roberta Lanzillo, Antonio Carotenuto, Cinzia Valeria Russo, Vincenzo Brescia Morra, Raffaele Palladino, Maria Triassi, Anna De Rosa, Giuseppe De Michele and Antonio Nardone and has published in prestigious journals such as PLoS ONE, European Journal of Neurology and Expert Opinion on Drug Delivery.

In The Last Decade

Marco Massarelli

9 papers receiving 217 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Marco Massarelli Italy	7	112	64	42	41	28	9	219
Heinz Wiendl Germany	8	114 1.0×	51 0.8×	14 0.3×	33 0.8×	35 1.3×	20	257
Tjalf Ziemssen Germany	9	58 0.5×	53 0.8×	22 0.5×	66 1.6×	27 1.0×	26	237
Elio Prestipino Italy	9	137 1.2×	60 0.9×	28 0.7×	16 0.4×	28 1.0×	15	196
Laura Ferrè Italy	10	191 1.7×	91 1.4×	24 0.6×	36 0.9×	31 1.1×	26	280
Nadia Tenenbaum United States	11	234 2.1×	90 1.4×	15 0.4×	80 2.0×	19 0.7×	21	369
Eleonora Sgarlata Italy	6	119 1.1×	66 1.0×	10 0.2×	28 0.7×	30 1.1×	10	280
Anna Jeong United States	12	51 0.5×	112 1.8×	58 1.4×	60 1.5×	16 0.6×	22	346
F Munschauer United States	7	237 2.1×	91 1.4×	10 0.2×	57 1.4×	38 1.4×	7	343
Federica Ranzato Italy	9	110 1.0×	66 1.0×	58 1.4×	8 0.2×	37 1.3×	15	262
Carolina Ferreira‐Atuesta United States	3	58 0.5×	57 0.9×	34 0.8×	31 0.8×	10 0.4×	7	204

Countries citing papers authored by Marco Massarelli

Since Specialization

Citations

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

Fields of papers citing papers by Marco Massarelli

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marco Massarelli

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

All Works

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9 of 9 papers shown

Lucia, Natascia De, Silvio Peluso, Alessandro Roca, et al.. (2018). Closing-in Phenomenon in Huntington’s Disease: A Neuropsychological Marker of Frontal/Executive Dysfunction. Archives of Clinical Neuropsychology. 34(1). 24–30. 2 indexed citations

Lanzillo, Roberta, Antonio Carotenuto, Marcello Moccia, et al.. (2016). A longitudinal real-life comparison study of natalizumab and fingolimod. Acta Neurologica Scandinavica. 136(3). 217–222. 19 indexed citations

Moccia, Marcello, Raffaele Palladino, Cinzia Valeria Russo, et al.. (2015). How many injections did you miss last month? A simple question to predict interferon β-1a adherence in multiple sclerosis. Expert Opinion on Drug Delivery. 12(12). 1829–1835. 25 indexed citations

Moccia, Marcello, Antonio Carotenuto, Marco Massarelli, Roberta Lanzillo, & Vincenzo Brescia Morra. (2015). Can people with multiple sclerosis actually understand what they read in the Internet age?. Journal of Clinical Neuroscience. 25. 167–168. 22 indexed citations

Moccia, Marcello, Roberta Lanzillo, Raffaele Palladino, et al.. (2015). The Framingham cardiovascular risk score in multiple sclerosis. European Journal of Neurology. 22(8). 1176–1183. 57 indexed citations

Moccia, Marcello, Roberta Lanzillo, Raffaele Palladino, et al.. (2014). Uric acid: a potential biomarker of multiple sclerosis and of its disability. Clinical Chemistry and Laboratory Medicine (CCLM). 53(5). 753–9. 35 indexed citations

Quarantelli, Mario, Elena Salvatore, Alessandro Filla, et al.. (2013). Default-Mode Network Changes in Huntington’s Disease: An Integrated MRI Study of Functional Connectivity and Morphometry. PLoS ONE. 8(8). e72159–e72159. 38 indexed citations

Russo, Cinzia Valeria, Elena Salvatore, Francesco Saccà, et al.. (2013). Insulin Sensitivity and Early-Phase Insulin Secretion in Normoglycemic Huntington's Disease Patients. Journal of Huntington s Disease. 2(4). 501–507. 15 indexed citations

Rosa, Anna De, Silvio Peluso, Luigi Del Gaudio, et al.. (2012). A case of restless leg syndrome in a family withLRRK2gene mutation. International Journal of Neuroscience. 123(4). 283–285. 6 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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