Marida Della Corte

22 total papers · 775 total citations
13 papers, 494 citations indexed

About

Marida Della Corte is a scholar working on Pathology and Forensic Medicine, Cognitive Neuroscience and Oncology. According to data from OpenAlex, Marida Della Corte has authored 13 papers receiving a total of 494 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Pathology and Forensic Medicine, 3 papers in Cognitive Neuroscience and 2 papers in Oncology. Recurrent topics in Marida Della Corte's work include Multiple Sclerosis Research Studies (10 papers), Functional Brain Connectivity Studies (3 papers) and Neuroinflammation and Neurodegeneration Mechanisms (2 papers). Marida Della Corte is often cited by papers focused on Multiple Sclerosis Research Studies (10 papers), Functional Brain Connectivity Studies (3 papers) and Neuroinflammation and Neurodegeneration Mechanisms (2 papers). Marida Della Corte collaborates with scholars based in Italy, United States and Netherlands. Marida Della Corte's co-authors include Simona Bonavita, Gioacchino Tedeschi, Antonio Gallo, Rosaria Sacco, Alvino Bisecco, Luigi Lavorgna, Renato Docimo, Daniele Corbo, Fabrizio Esposito and Mario Cirillo and has published in prestigious journals such as Neurology, Metabolism and Journal of Neurology.

In The Last Decade

Marida Della Corte

12 papers receiving 486 citations

Author Peers

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

Author						Papers	Cites
Marida Della Corte	340	170	109	103	60	13	494
Antonio Belenguer	309 0.9×	151 0.9×	87 0.8×	87 0.8×	84 1.4×	23	495
Lydie Crespy	304 0.9×	113 0.7×	97 0.9×	105 1.0×	68 1.1×	11	416
Harald Zauner	212 0.6×	133 0.8×	69 0.6×	77 0.7×	78 1.3×	11	412
Quinten van Geest	314 0.9×	155 0.9×	144 1.3×	74 0.7×	72 1.2×	9	445
I. Pestalozza	393 1.2×	92 0.5×	80 0.7×	127 1.2×	68 1.1×	9	531
Korhan Buyukturkoglu	210 0.6×	221 1.3×	76 0.7×	67 0.7×	67 1.1×	23	551
Kesshi Jordan	186 0.5×	133 0.8×	236 2.2×	98 1.0×	30 0.5×	17	538
My Van Au Duong	399 1.2×	161 0.9×	166 1.5×	125 1.2×	73 1.2×	7	539
Andrea Mike	190 0.6×	95 0.6×	101 0.9×	176 1.7×	49 0.8×	12	411
Marietta Hoogs	315 0.9×	51 0.3×	79 0.7×	80 0.8×	50 0.8×	10	418

Countries citing papers authored by Marida Della Corte

Since Specialization

Citations

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

Fields of papers citing papers by Marida Della Corte

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Marida Della Corte. 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 Marida Della Corte. The network helps show where Marida Della Corte may publish in the future.

Co-authorship network of co-authors of Marida Della Corte

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

All Works

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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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