Victoria Van Berlo

924 total citations · 1 hit paper
7 papers, 513 citations indexed

About

Victoria Van Berlo is a scholar working on Physiology, Cellular and Molecular Neuroscience and Neurology. According to data from OpenAlex, Victoria Van Berlo has authored 7 papers receiving a total of 513 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Physiology, 3 papers in Cellular and Molecular Neuroscience and 3 papers in Neurology. Recurrent topics in Victoria Van Berlo's work include Alzheimer's disease research and treatments (5 papers), Dementia and Cognitive Impairment Research (2 papers) and Neuroinflammation and Neurodegeneration Mechanisms (1 paper). Victoria Van Berlo is often cited by papers focused on Alzheimer's disease research and treatments (5 papers), Dementia and Cognitive Impairment Research (2 papers) and Neuroinflammation and Neurodegeneration Mechanisms (1 paper). Victoria Van Berlo collaborates with scholars based in United States, Italy and Japan. Victoria Van Berlo's co-authors include Giovanni Coppola, Anna M. Karydas, Bruce L. Miller, Sonja Darwish, Paul A. Garcia, Alexander J. Beagle, Susanne Honma, Keith Vossel, Lennart Mucke and Erik D. Roberson and has published in prestigious journals such as Annals of Neurology, Human Molecular Genetics and Journal of Neuropathology & Experimental Neurology.

In The Last Decade

Victoria Van Berlo

7 papers receiving 508 citations

Hit Papers

Incidence and impact of subclinical epileptiform activity... 2016 2026 2019 2022 2016 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Victoria Van Berlo United States 7 266 209 170 137 104 7 513
Sonja Darwish United States 4 271 1.0× 215 1.0× 195 1.1× 130 0.9× 45 0.4× 5 485
Lucia Farotti Italy 13 302 1.1× 136 0.7× 234 1.4× 52 0.4× 97 0.9× 19 583
Alessandro Galgani Italy 12 129 0.5× 120 0.6× 72 0.4× 69 0.5× 64 0.6× 26 386
Barbara Schaffer United States 7 298 1.1× 73 0.3× 196 1.2× 140 1.0× 157 1.5× 9 590
Alberto Cordella Italy 10 275 1.0× 103 0.5× 52 0.3× 182 1.3× 88 0.8× 14 540
Xingjian Lin China 14 100 0.4× 74 0.4× 140 0.8× 235 1.7× 93 0.9× 41 603
Masahiko Bundo Japan 9 168 0.6× 61 0.3× 122 0.7× 241 1.8× 58 0.6× 21 494
Arousiak Varpetian United States 7 300 1.1× 47 0.2× 216 1.3× 94 0.7× 89 0.9× 8 476
Fabian Corlier France 12 316 1.2× 52 0.2× 226 1.3× 133 1.0× 122 1.2× 17 626
Erika L. Galer United States 6 360 1.4× 188 0.9× 51 0.3× 33 0.2× 165 1.6× 10 608

Countries citing papers authored by Victoria Van Berlo

Since Specialization
Citations

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

Fields of papers citing papers by Victoria Van Berlo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Victoria Van Berlo. 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 Victoria Van Berlo. The network helps show where Victoria Van Berlo may publish in the future.

Co-authorship network of co-authors of Victoria Van Berlo

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

All Works

7 of 7 papers shown
1.
Ramos, Eliana Marisa, Alessandro Roca, Deepika Dokuru, et al.. (2019). Primary familial brain calcification caused by a novel homozygous MYORG mutation in a consanguineous Italian family. Neurogenetics. 20(2). 99–102. 10 indexed citations
2.
Nachun, Daniel, Fuying Gao, Cassandra J. Strawser, et al.. (2018). Peripheral blood gene expression reveals an inflammatory transcriptomic signature in Friedreich’s ataxia patients. Human Molecular Genetics. 27(17). 2965–2977. 36 indexed citations
3.
Ramos, Eliana Marisa, Deepika Dokuru, Victoria Van Berlo, et al.. (2018). Genetic screen in a large series of patients with primary progressive aphasia. Alzheimer s & Dementia. 15(4). 553–560. 39 indexed citations
4.
Ringman, John M., Maria Casado, Victoria Van Berlo, et al.. (2017). A novel PSEN1 (S230N) mutation causing early-onset Alzheimer’s Disease associated with prosopagnosia, hoarding, and Parkinsonism. Neuroscience Letters. 657. 11–15. 7 indexed citations
5.
Liu, Collin Y., Taisuke Tomita, Satoko Osawa, et al.. (2017). Two Novel Mutations in the First Transmembrane Domain of Presenilin1 Cause Young-Onset Alzheimer’s Disease. Journal of Alzheimer s Disease. 58(4). 1035–1041. 11 indexed citations
6.
Vossel, Keith, Kamalini G. Ranasinghe, Alexander J. Beagle, et al.. (2016). Incidence and impact of subclinical epileptiform activity in Alzheimer's disease. Annals of Neurology. 80(6). 858–870. 360 indexed citations breakdown →
7.
Ringman, John M., Sarah E. Monsell, Yan Zhou, et al.. (2016). Neuropathology of Autosomal Dominant Alzheimer Disease in the National Alzheimer Coordinating Center Database. Journal of Neuropathology & Experimental Neurology. 75(3). 284–290. 50 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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