P. J. S. Vig

2.2k total citations · 1 hit paper
62 papers, 1.8k citations indexed

About

P. J. S. Vig is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Neurology. According to data from OpenAlex, P. J. S. Vig has authored 62 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Molecular Biology, 26 papers in Cellular and Molecular Neuroscience and 7 papers in Neurology. Recurrent topics in P. J. S. Vig's work include Genetic Neurodegenerative Diseases (22 papers), Mitochondrial Function and Pathology (15 papers) and Ubiquitin and proteasome pathways (7 papers). P. J. S. Vig is often cited by papers focused on Genetic Neurodegenerative Diseases (22 papers), Mitochondrial Function and Pathology (15 papers) and Ubiquitin and proteasome pathways (7 papers). P. J. S. Vig collaborates with scholars based in United States, India and France. P. J. S. Vig's co-authors include S. H. Subramony, D. Desaiah, Kenneth H. Fischbeck, Jean‐Louis Mandel, John Q. Trojanowski, Yvon Trottier, Henry L. Paulson, R N Pittman, Qingmei Shao and Jonathan D. Fratkin and has published in prestigious journals such as Neuron, The EMBO Journal and Neurology.

In The Last Decade

P. J. S. Vig

61 papers receiving 1.8k citations

Hit Papers

Intranuclear Inclusions of Expanded Polyglutamine Protein... 1997 2026 2006 2016 1997 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
P. J. S. Vig United States 21 1.1k 1.1k 349 120 104 62 1.8k
J. W. Neal United Kingdom 26 756 0.7× 538 0.5× 381 1.1× 101 0.8× 95 0.9× 46 2.4k
Saki Shimizu Japan 29 810 0.7× 708 0.7× 247 0.7× 28 0.2× 246 2.4× 91 2.0k
Michael Mäder Germany 23 882 0.8× 542 0.5× 194 0.6× 59 0.5× 89 0.9× 57 2.4k
Maite A. Castro Chile 21 499 0.5× 300 0.3× 113 0.3× 104 0.9× 57 0.5× 39 1.3k
Ben Yang China 23 745 0.7× 426 0.4× 396 1.1× 27 0.2× 106 1.0× 60 1.8k
Yuji Suzuki Japan 19 348 0.3× 229 0.2× 160 0.5× 44 0.4× 42 0.4× 68 1.1k
David Johnson United States 24 611 0.6× 436 0.4× 192 0.6× 33 0.3× 102 1.0× 75 1.8k
María de los Ángeles García Chile 29 932 0.8× 297 0.3× 69 0.2× 53 0.4× 139 1.3× 109 2.6k
Zhilin Li China 20 353 0.3× 350 0.3× 173 0.5× 102 0.8× 83 0.8× 59 1.5k
Jean M. Jacobs United Kingdom 21 443 0.4× 364 0.3× 212 0.6× 55 0.5× 62 0.6× 35 1.5k

Countries citing papers authored by P. J. S. Vig

Since Specialization
Citations

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

Fields of papers citing papers by P. J. S. Vig

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by P. J. S. Vig. 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 P. J. S. Vig. The network helps show where P. J. S. Vig may publish in the future.

Co-authorship network of co-authors of P. J. S. Vig

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

All Works

20 of 20 papers shown
1.
Kuwar, Ram, Dobrivoje S. Stokić, A. Arturo Leis, et al.. (2015). Does astroglial protein S100B contribute to West Nile neuro-invasive syndrome?. Journal of the Neurological Sciences. 358(1-2). 243–252. 13 indexed citations
2.
Vig, P. J. S., et al.. (2014). Knockdown of Acid-Sensing Ion Channel 1a (ASIC1a) Suppresses Disease Phenotype in SCA1 Mouse Model. The Cerebellum. 13(4). 479–490. 10 indexed citations
3.
Fratkin, Jonathan D. & P. J. S. Vig. (2011). Neuropathology of degenerative ataxias. Handbook of clinical neurology. 103. 111–125. 17 indexed citations
4.
Pentyala, Srinivas, et al.. (2010). Microsomal Ca2+ flux modulation as an indicator of heavy metal toxicity.. PubMed. 48(7). 737–43. 14 indexed citations
5.
Vig, P. J. S., et al.. (2009). Bergmann Glial S100B Activates Myo-inositol Monophosphatase 1 and Co-localizes to Purkinje Cell Vacuoles in SCA1 Transgenic Mice. The Cerebellum. 8(3). 231–244. 38 indexed citations
6.
Salameh, J.R., et al.. (2007). Role of Biomarkers in Incisional Hernias. The American Surgeon. 73(6). 561–567. 38 indexed citations
7.
Mizutani, Akifumi, Lei Wang, P. J. S. Vig, et al.. (2005). Boat, an AXH domain protein, suppresses the cytotoxicity of mutant ataxin‐1. The EMBO Journal. 24(18). 3339–3351. 70 indexed citations
8.
Feng, Yangzheng, Michael H. LeBlanc, Colette C. Parker, et al.. (2000). Desmethyl tirilazad improves neurologic function after hypoxic ischemic brain injury in piglets. Critical Care Medicine. 28(5). 1431–1438. 18 indexed citations
9.
Vig, P. J. S., S. H. Subramony, Zheng‐Hong Qin, D. Olga McDaniel, & Jonathan D. Fratkin. (2000). Relationship between ataxin-1 nuclear inclusions and Purkinje cell specific proteins in SCA-1 transgenic mice. Journal of the Neurological Sciences. 174(2). 100–110. 26 indexed citations
10.
Desaiah, D., et al.. (1999). In Vitro and In Vivo Inhibition of Rat Brain Nitric Oxide Synthase Activity by Phencyclidine. International Journal of Toxicology. 18(4). 245–250. 2 indexed citations
11.
Vig, P. J. S., et al.. (1999). Modulation of Calmodulin and Protein Kinase C Activities by Pencillium Mycotoxins. International Journal of Toxicology. 18(2). 91–96. 5 indexed citations
12.
Paulson, Henry L., Yvon Trottier, John Q. Trojanowski, et al.. (1997). Intranuclear Inclusions of Expanded Polyglutamine Protein in Spinocerebellar Ataxia Type 3. Neuron. 19(2). 333–344. 692 indexed citations breakdown →
13.
Joshi, Piyush, et al.. (1996). Increase in Brain Nitric Oxide Synthase Activity in Daunorubicin‐treated Rats. Pharmacology & Toxicology. 78(2). 99–103. 20 indexed citations
14.
Pentyala, Srinivas, et al.. (1994). Effect of carbon tetrachloride on inositol 1,4,5-trisphosphate dependent and independent regulation of rat brain microsomal Ca2+ flux. Cellular Signalling. 6(5). 561–567. 5 indexed citations
15.
Vig, P. J. S., Srinivas Pentyala, Chellu S. Chetty, B. Rajanna, & D. Desaiah. (1994). Lead Alters Inositol Polyphosphate Receptor Activities: Protection by ATP. Pharmacology & Toxicology. 75(1). 17–22. 9 indexed citations
16.
Desaiah, D., et al.. (1991). Combined effects of carbon tetrachloride and chlordecone on calmodulin activity in gerbil brain. Journal of Toxicology and Environmental Health. 34(2). 219–228. 2 indexed citations
17.
Vig, P. J. S. & R. Nath. (1991). In vivo effects of cadmium on calmodulin and calmodulin regulated enzymes in rat brain.. PubMed. 23(5). 927–34. 13 indexed citations
18.
Desaiah, D., P. J. S. Vig, S. H. Subramony, & Robert D. Currier. (1991). Inositol 1,4,5-triphosphate receptors and protein kinase C in olivopontocerebellar atrophy. Brain Research. 552(1). 36–40. 17 indexed citations
19.
Vig, P. J. S., et al.. (1989). Cadmium inhibits brain calmodulin:In vitro andin vivo studies. Bulletin of Environmental Contamination and Toxicology. 43(4). 541–547. 11 indexed citations
20.
Vig, P. J. S., Ravindra Nath, & D. Desaiah. (1989). Metal inhibition of calmodulin activity in monkey brain. Journal of Applied Toxicology. 9(5). 313–316. 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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