Ross B. Mounsey

668 total citations
9 papers, 551 citations indexed

About

Ross B. Mounsey is a scholar working on Neurology, Molecular Biology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Ross B. Mounsey has authored 9 papers receiving a total of 551 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Neurology, 6 papers in Molecular Biology and 4 papers in Cellular and Molecular Neuroscience. Recurrent topics in Ross B. Mounsey's work include Parkinson's Disease Mechanisms and Treatments (8 papers), Neurological diseases and metabolism (3 papers) and Peroxisome Proliferator-Activated Receptors (3 papers). Ross B. Mounsey is often cited by papers focused on Parkinson's Disease Mechanisms and Treatments (8 papers), Neurological diseases and metabolism (3 papers) and Peroxisome Proliferator-Activated Receptors (3 papers). Ross B. Mounsey collaborates with scholars based in United Kingdom, United States and Germany. Ross B. Mounsey's co-authors include Peter Teismann, Sarah Mustafa, Heather L. Martin, Daniela Berg, Shigeyoshi Itohara, Johannes Lang, Claudia Schulte, Matthis Synofzik, Walter Maetzler and Ya‐Ching Hsieh and has published in prestigious journals such as Brain, Neuroscience and Experimental Neurology.

In The Last Decade

Ross B. Mounsey

9 papers receiving 545 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ross B. Mounsey United Kingdom 9 247 207 161 126 119 9 551
Francesca Martorana Italy 12 186 0.8× 174 0.8× 125 0.8× 154 1.2× 139 1.2× 13 517
Joo-Young Im South Korea 9 334 1.4× 180 0.9× 196 1.2× 105 0.8× 206 1.7× 12 697
A Owen United Kingdom 8 222 0.9× 284 1.4× 226 1.4× 104 0.8× 167 1.4× 8 730
Kalpita Banerjee United States 11 301 1.2× 152 0.7× 139 0.9× 62 0.5× 184 1.5× 14 619
Anna Wuolikainen Sweden 14 375 1.5× 462 2.2× 100 0.6× 106 0.8× 176 1.5× 18 875
Manish Verma United States 6 266 1.1× 154 0.7× 176 1.1× 90 0.7× 129 1.1× 7 533
Ildikó Sipos Hungary 10 236 1.0× 142 0.7× 172 1.1× 66 0.5× 92 0.8× 15 530
Evgeniya I. Fedotova Russia 8 213 0.9× 131 0.6× 100 0.6× 71 0.6× 94 0.8× 22 411
Daniel Jiménez-Blasco Spain 13 399 1.6× 78 0.4× 175 1.1× 164 1.3× 171 1.4× 19 737
Maj‐Linda B. Selenica United States 13 262 1.1× 111 0.5× 91 0.6× 246 2.0× 379 3.2× 19 717

Countries citing papers authored by Ross B. Mounsey

Since Specialization
Citations

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

Fields of papers citing papers by Ross B. Mounsey

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ross B. Mounsey. 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 Ross B. Mounsey. The network helps show where Ross B. Mounsey may publish in the future.

Co-authorship network of co-authors of Ross B. Mounsey

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

All Works

9 of 9 papers shown
1.
Mounsey, Ross B., Sarah Mustafa, Lianne Robinson, et al.. (2015). Increasing levels of the endocannabinoid 2-AG is neuroprotective in the 1-methyl-4-phenyl-1,2,3,6-tetrahydropyridine mouse model of Parkinson's disease. Experimental Neurology. 273. 36–44. 56 indexed citations
2.
Mounsey, Ross B., Heather L. Martin, Michael C. Nelson, Ronald M. Evans, & Peter Teismann. (2015). The effect of neuronal conditional knock-out of peroxisome proliferator-activated receptors in the MPTP mouse model of Parkinson’s disease. Neuroscience. 300. 576–584. 8 indexed citations
3.
Perier, Céline, Andreas Bender, Elena García‐Arumí, et al.. (2013). Accumulation of mitochondrial DNA deletions within dopaminergic neurons triggers neuroprotective mechanisms. Brain. 136(8). 2369–2378. 58 indexed citations
4.
Martin, Heather L., Ross B. Mounsey, Sarah Mustafa, et al.. (2013). A peroxisome proliferator-activated receptor-δ agonist provides neuroprotection in the 1-methyl-4-phenyl-1,2,3,6-tetrahydropyridine model of Parkinson’s disease. Neuroscience. 240. 191–203. 43 indexed citations
5.
Maetzler, Walter, Johannes Lang, Ross B. Mounsey, et al.. (2012). S100B is increased in Parkinson’s disease and ablation protects against MPTP-induced toxicity through the RAGE and TNF-α pathway. Brain. 135(11). 3336–3347. 170 indexed citations
7.
Mounsey, Ross B. & Peter Teismann. (2012). Chelators in the Treatment of Iron Accumulation in Parkinson's Disease. International Journal of Cell Biology. 2012. 1–12. 70 indexed citations
8.
Hsieh, Ya‐Ching, Ross B. Mounsey, & Peter Teismann. (2011). MPP+-induced toxicity in the presence of dopamine is mediated by COX-2 through oxidative stress. Naunyn-Schmiedeberg s Archives of Pharmacology. 384(2). 157–167. 27 indexed citations
9.
Mounsey, Ross B. & Peter Teismann. (2010). Mitochondrial Dysfunction in Parkinson's Disease: Pathogenesis and Neuroprotection. Parkinson s Disease. 2011. 1–18. 60 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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