Valentina Perosa

70 total papers · 956 total citations
31 papers, 498 citations indexed

About

Valentina Perosa is a scholar working on Neurology, Physiology and Epidemiology. According to data from OpenAlex, Valentina Perosa has authored 31 papers receiving a total of 498 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Neurology, 9 papers in Physiology and 8 papers in Epidemiology. Recurrent topics in Valentina Perosa's work include Intracerebral and Subarachnoid Hemorrhage Research (18 papers), Alzheimer's disease research and treatments (9 papers) and Acute Ischemic Stroke Management (8 papers). Valentina Perosa is often cited by papers focused on Intracerebral and Subarachnoid Hemorrhage Research (18 papers), Alzheimer's disease research and treatments (9 papers) and Acute Ischemic Stroke Management (8 papers). Valentina Perosa collaborates with scholars based in United States, Germany and United Kingdom. Valentina Perosa's co-authors include Susanne J. van Veluw, Steven M. Greenberg, Stefanie Schreiber, Ashley A. Scherlek, Mariel G. Kozberg, Matthew P. Frosch, Jan Oltmer, M. Edip Gurol, Anne Assmann and Emrah Düzel and has published in prestigious journals such as NeuroImage, Brain and Neurology.

In The Last Decade

Valentina Perosa

29 papers receiving 490 citations

Author Peers

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

Author						Papers	Cites
Valentina Perosa	285	121	118	98	93	31	498
Nicolas Durieux	236 0.8×	126 1.0×	84 0.7×	55 0.6×	124 1.3×	32	547
Minoru Oishi	186 0.7×	79 0.7×	81 0.7×	72 0.7×	96 1.0×	49	575
Paweł Sokal	175 0.6×	95 0.8×	119 1.0×	56 0.6×	107 1.2×	49	552
Fumitoshi Niwa	174 0.6×	138 1.1×	44 0.4×	82 0.8×	109 1.2×	25	460
E. Flooh	257 0.9×	67 0.6×	154 1.3×	40 0.4×	55 0.6×	22	519
Akira Yagishita	256 0.9×	68 0.6×	56 0.5×	122 1.2×	47 0.5×	33	595
Lucio D’Anna	176 0.6×	109 0.9×	128 1.1×	46 0.5×	93 1.0×	27	614
Erkan Kurt	158 0.6×	107 0.9×	56 0.5×	72 0.7×	83 0.9×	45	534
Naoki Ishihara	230 0.8×	92 0.8×	63 0.5×	120 1.2×	65 0.7×	35	450
David García-Solís	246 0.9×	88 0.7×	51 0.4×	101 1.0×	106 1.1×	26	605

Countries citing papers authored by Valentina Perosa

Since Specialization

Citations

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

Fields of papers citing papers by Valentina Perosa

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Valentina Perosa

This figure shows the co-authorship network connecting the top 25 collaborators of Valentina Perosa. A scholar is included among the top collaborators of Valentina Perosa 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 Valentina Perosa. Valentina Perosa 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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