Alex Severino

505 total citations
2 papers, 385 citations indexed

About

Alex Severino is a scholar working on Neurology, Cellular and Molecular Neuroscience and Cell Biology. According to data from OpenAlex, Alex Severino has authored 2 papers receiving a total of 385 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Neurology, 1 paper in Cellular and Molecular Neuroscience and 1 paper in Cell Biology. Recurrent topics in Alex Severino's work include Parkinson's Disease Mechanisms and Treatments (2 papers), Neurological disorders and treatments (1 paper) and Lysosomal Storage Disorders Research (1 paper). Alex Severino is often cited by papers focused on Parkinson's Disease Mechanisms and Treatments (2 papers), Neurological disorders and treatments (1 paper) and Lysosomal Storage Disorders Research (1 paper). Alex Severino collaborates with scholars based in United States. Alex Severino's co-authors include Dimitri Krainc, Daniel Ysselstein, Maria Nguyen, Yvette C. Wong, Tiffany Young, Kalpana Merchant and Michael Schwake and has published in prestigious journals such as Nature Communications and Trends in Neurosciences.

In The Last Decade

Alex Severino

2 papers receiving 384 citations

Peers

Alex Severino

NEURO

PHYSI

MB

CMN

CB

Iva Stojkovska United States

Virginie Loeb Israel

April Dukes United States

Pauline Wales Germany

Vivian Chou United States

Jung Hee Shim South Korea

Rosalind F. Roberts United Kingdom

Chi-Ting Leung Hong Kong

Julien Dusonchet Switzerland

Rose B. Creed United States

Iva Stojkovska United States

Alex Severino

297 ×1.3

NEURO

219 ×1.5

PHYSI

127 ×1.1

MB

117 ×1.1

CMN

130 ×1.4

CB

Citations per year, relative to Alex Severino Alex Severino (= 1×) peers Iva Stojkovska

Countries citing papers authored by Alex Severino

Since Specialization

Citations

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

Fields of papers citing papers by Alex Severino

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alex Severino

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

All Works

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2 of 2 papers shown

1.

Ysselstein, Daniel, Maria Nguyen, Tiffany Young, et al.. (2019). LRRK2 kinase activity regulates lysosomal glucocerebrosidase in neurons derived from Parkinson’s disease patients. Nature Communications. 10(1). 5570–5570. 140 indexed citations

2.

Nguyen, Maria, Yvette C. Wong, Daniel Ysselstein, Alex Severino, & Dimitri Krainc. (2018). Synaptic, Mitochondrial, and Lysosomal Dysfunction in Parkinson’s Disease. Trends in Neurosciences. 42(2). 140–149. 245 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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