Victor S. Van Laar

1.3k total citations
18 papers, 1.0k citations indexed

About

Victor S. Van Laar is a scholar working on Neurology, Cellular and Molecular Neuroscience and Molecular Biology. According to data from OpenAlex, Victor S. Van Laar has authored 18 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Neurology, 10 papers in Cellular and Molecular Neuroscience and 8 papers in Molecular Biology. Recurrent topics in Victor S. Van Laar's work include Parkinson's Disease Mechanisms and Treatments (12 papers), Mitochondrial Function and Pathology (6 papers) and Autophagy in Disease and Therapy (5 papers). Victor S. Van Laar is often cited by papers focused on Parkinson's Disease Mechanisms and Treatments (12 papers), Mitochondrial Function and Pathology (6 papers) and Autophagy in Disease and Therapy (5 papers). Victor S. Van Laar collaborates with scholars based in United States, China and Ukraine. Victor S. Van Laar's co-authors include Sarah Berman, Teresa G. Hastings, Michael Cascio, April Dukes, Beth Arnold, Edward A. Burton, Steven J. Cassady, Charleen T. Chu, Claudette M. St. Croix and J. Timothy Greenamyre and has published in prestigious journals such as Nature Medicine, Journal of Neuroscience and Scientific Reports.

In The Last Decade

Victor S. Van Laar

18 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Victor S. Van Laar United States 14 578 422 296 267 216 18 1.0k
Anna Sandebring Sweden 9 699 1.2× 407 1.0× 296 1.0× 288 1.1× 429 2.0× 13 1.1k
Linan Chen China 8 479 0.8× 624 1.5× 416 1.4× 206 0.8× 228 1.1× 18 1.1k
Alison Wood‐Kaczmar United Kingdom 12 523 0.9× 367 0.9× 363 1.2× 126 0.5× 144 0.7× 13 910
Victoria Burchell United Kingdom 9 486 0.8× 281 0.7× 123 0.4× 197 0.7× 187 0.9× 10 800
Dominik Haddad United States 12 970 1.7× 656 1.6× 429 1.4× 545 2.0× 286 1.3× 13 1.7k
Andrew Ferree United States 15 579 1.0× 400 0.9× 354 1.2× 121 0.5× 219 1.0× 20 1.1k
Sven Vilain Belgium 12 748 1.3× 469 1.1× 383 1.3× 474 1.8× 449 2.1× 16 1.6k
Rasoul Farazifard Iran 10 447 0.8× 187 0.4× 189 0.6× 347 1.3× 184 0.9× 13 826
Sandra Gellhaar Sweden 10 465 0.8× 317 0.8× 288 1.0× 86 0.3× 340 1.6× 11 896
Matthias Elstner Germany 17 622 1.1× 421 1.0× 294 1.0× 70 0.3× 199 0.9× 31 1.2k

Countries citing papers authored by Victor S. Van Laar

Since Specialization
Citations

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

Fields of papers citing papers by Victor S. Van Laar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Victor S. Van Laar. 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 Victor S. Van Laar. The network helps show where Victor S. Van Laar may publish in the future.

Co-authorship network of co-authors of Victor S. Van Laar

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

All Works

18 of 18 papers shown
1.
Heiss, John D., Abhik Ray‐Chaudhury, David E. Kleiner, et al.. (2024). Persistent GDNF Expression 45 Months after Putaminal Infusion of AAV2‐GDNF in a Patient with Parkinson's Disease. Movement Disorders. 39(8). 1412–1417. 10 indexed citations
2.
Brown, Kathryn, Archana Sachdev, Katie Jing Kay Lam, et al.. (2024). Validated assays for the quantification of C9orf72 human pathology. Scientific Reports. 14(1). 828–828. 8 indexed citations
3.
Bai, Qing, et al.. (2023). Full-field exposure of larval zebrafish to narrow waveband LED light sources at defined power and energy for optogenetic applications. Journal of Neuroscience Methods. 401. 110001–110001. 6 indexed citations
4.
Ford, Matthew M., Victor S. Van Laar, Katherine M. Holleran, et al.. (2023). GDNF gene therapy for alcohol use disorder in male non-human primates. Nature Medicine. 29(8). 2030–2040. 12 indexed citations
5.
Laar, Amber D. Van, Matthew T. Keeney, Victor S. Van Laar, et al.. (2023). Transient exposure to rotenone causes degeneration and progressive parkinsonian motor deficits, neuroinflammation, and synucleinopathy. npj Parkinson s Disease. 9(1). 121–121. 37 indexed citations
6.
Laar, Amber D. Van, Victor S. Van Laar, Waldy San Sebastián, et al.. (2021). An Update on Gene Therapy Approaches for Parkinson’s Disease: Restoration of Dopaminergic Function. Journal of Parkinson s Disease. 11(s2). S173–S182. 29 indexed citations
7.
Laar, Victor S. Van, Jianming Chen, Alevtina Zharikov, et al.. (2020). α-Synuclein amplifies cytoplasmic peroxide flux and oxidative stress provoked by mitochondrial inhibitors in CNS dopaminergic neurons in vivo. Redox Biology. 37. 101695–101695. 37 indexed citations
8.
Laar, Victor S. Van, P. Anthony Otero, Teresa G. Hastings, & Sarah Berman. (2019). Potential Role of Mic60/Mitofilin in Parkinson’s Disease. Frontiers in Neuroscience. 12. 898–898. 18 indexed citations
9.
Laar, Victor S. Van, Beth Arnold, Michael Calderon, et al.. (2018). Evidence for Compartmentalized Axonal Mitochondrial Biogenesis: Mitochondrial DNA Replication Increases in Distal Axons As an Early Response to Parkinson's Disease-Relevant Stress. Journal of Neuroscience. 38(34). 7505–7515. 49 indexed citations
10.
Laar, Victor S. Van, Sarah Berman, & Teresa G. Hastings. (2016). Mic60/mitofilin overexpression alters mitochondrial dynamics and attenuates vulnerability of dopaminergic cells to dopamine and rotenone. Neurobiology of Disease. 91. 247–261. 29 indexed citations
11.
Dukes, April, Qing Bai, Victor S. Van Laar, et al.. (2016). Live imaging of mitochondrial dynamics in CNS dopaminergic neurons in vivo demonstrates early reversal of mitochondrial transport following MPP+ exposure. Neurobiology of Disease. 95. 238–249. 40 indexed citations
12.
13.
Laar, Victor S. Van & Sarah Berman. (2012). The interplay of neuronal mitochondrial dynamics and bioenergetics: Implications for Parkinson's disease. Neurobiology of Disease. 51. 43–55. 104 indexed citations
14.
Laar, Victor S. Van, Beth Arnold, Steven J. Cassady, et al.. (2010). Bioenergetics of neurons inhibit the translocation response of Parkin following rapid mitochondrial depolarization. Human Molecular Genetics. 20(5). 927–940. 180 indexed citations
15.
Laar, Victor S. Van & Sarah Berman. (2009). Mitochondrial dynamics in Parkinson's disease. Experimental Neurology. 218(2). 247–256. 112 indexed citations
16.
Laar, Victor S. Van, et al.. (2009). Proteomic identification of dopamine-conjugated proteins from isolated rat brain mitochondria and SH-SY5Y cells. Neurobiology of Disease. 34(3). 487–500. 118 indexed citations
17.
Dukes, April, Victor S. Van Laar, Michael Cascio, & Teresa G. Hastings. (2008). Changes in endoplasmic reticulum stress proteins and aldolase A in cells exposed to dopamine. Journal of Neurochemistry. 106(1). 333–346. 60 indexed citations
18.
Laar, Victor S. Van, April Dukes, Michael Cascio, & Teresa G. Hastings. (2007). Proteomic analysis of rat brain mitochondria following exposure to dopamine quinone: Implications for Parkinson disease. Neurobiology of Disease. 29(3). 477–489. 85 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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