Pavlina Wolf

1.3k total citations
11 papers, 627 citations indexed

About

Pavlina Wolf is a scholar working on Physiology, Neurology and Cognitive Neuroscience. According to data from OpenAlex, Pavlina Wolf has authored 11 papers receiving a total of 627 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Physiology, 4 papers in Neurology and 4 papers in Cognitive Neuroscience. Recurrent topics in Pavlina Wolf's work include Lysosomal Storage Disorders Research (9 papers), Parkinson's Disease Mechanisms and Treatments (4 papers) and Autism Spectrum Disorder Research (4 papers). Pavlina Wolf is often cited by papers focused on Lysosomal Storage Disorders Research (9 papers), Parkinson's Disease Mechanisms and Treatments (4 papers) and Autism Spectrum Disorder Research (4 papers). Pavlina Wolf collaborates with scholars based in United States, Canada and United Kingdom. Pavlina Wolf's co-authors include Roy N. Alcalay, Petra Oliva, Ziv Gan‐Or, Oren Levy, Guy A. Rouleau, Karen Marder, Stanley Fahn, Pietro Mazzoni, Wendy K. Chung and Cheryl Waters and has published in prestigious journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and Brain.

In The Last Decade

Pavlina Wolf

11 papers receiving 620 citations

Peers

Pavlina Wolf
Nima Moaven United States
Swati Sathe United States
Sybille Dihanich United Kingdom
Mylene Huebecker United Kingdom
Dorien A. Roosen United States
Benjamin R. Smith United States
Jordan Follett Australia
Sofia Hassiotis Australia
Nima Moaven United States
Pavlina Wolf
Citations per year, relative to Pavlina Wolf Pavlina Wolf (= 1×) peers Nima Moaven

Countries citing papers authored by Pavlina Wolf

Since Specialization
Citations

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

Fields of papers citing papers by Pavlina Wolf

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pavlina Wolf

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

All Works

11 of 11 papers shown
1.
Alcalay, Roy N., Pavlina Wolf, Ming Sum Ruby Chiang, et al.. (2020). Longitudinal Measurements of Glucocerebrosidase activity in Parkinson’s patients. Annals of Clinical and Translational Neurology. 7(10). 1816–1830. 25 indexed citations
2.
Rotunno, Melissa, Wenfei Zhang, Pavlina Wolf, et al.. (2020). Cerebrospinal fluid proteomics implicates the granin family in Parkinson’s disease. Scientific Reports. 10(1). 2479–2479. 55 indexed citations
3.
Shah, Harsh N., Christopher Liong, Oren Levy, et al.. (2018). Association of Low Lysosomal Enzymes Activity With Brain Arterial Dilatation. Stroke. 49(8). 1977–1980. 3 indexed citations
4.
Wolf, Pavlina, Roy N. Alcalay, Christopher Liong, et al.. (2017). Tandem mass spectrometry assay of β-glucocerebrosidase activity in dried blood spots eliminates false positives detected in fluorescence assay. Molecular Genetics and Metabolism. 123(2). 135–139. 11 indexed citations
5.
Alcalay, Roy N., Oren Levy, Pavlina Wolf, et al.. (2016). SCARB2 variants and glucocerebrosidase activity in Parkinson’s disease. npj Parkinson s Disease. 2(1). 31 indexed citations
6.
Chandrachud, Uma, Sasja Heetveld, Anton Petcherski, et al.. (2015). Unbiased Cell-based Screening in a Neuronal Cell Model of Batten Disease Highlights an Interaction between Ca2+ Homeostasis, Autophagy, and CLN3 Protein Function. Journal of Biological Chemistry. 290(23). 14361–14380. 67 indexed citations
7.
Chuang, Wei‐Lien, Joshua Pacheco, Samantha Cooper, et al.. (2015). Improved sensitivity of an acid sphingomyelinase activity assay using a C6:0 sphingomyelin substrate. SHILAP Revista de lepidopterología. 3. 55–57. 5 indexed citations
8.
Alcalay, Roy N., Oren Levy, Cheryl Waters, et al.. (2015). Glucocerebrosidase activity in Parkinson’s disease with and withoutGBAmutations. Brain. 138(9). 2648–2658. 287 indexed citations
9.
Alcalay, Roy N., Oren Levy, Cheryl Waters, et al.. (2015). Glucocerebrosidase activity in Parkinson disease with and without GBA mutations (S7.003). Neurology. 84(14_supplement). 2 indexed citations
10.
Fossale, Elisa, Pavlina Wolf, Janice A. Espinola, et al.. (2004). Membrane trafficking and mitochondrial abnormalities precede subunit c deposition in a cerebellar cell model of juvenile neuronal ceroid lipofuscinosis. BMC Neuroscience. 5(1). 57–57. 118 indexed citations
11.
Crawford, Elizabeth J., David R. Christman, Harold Atkins, Morris Friedkin, & Pavlina Wolf. (1978). Scintigraphy with positron-emitting compounds—I. Carbon-11 labeled thymidine and thymidylate. International Journal of Nuclear Medicine and Biology. 5(2-3). 61–69. 23 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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