Jonathan A. Fidler

843 total citations
15 papers, 651 citations indexed

About

Jonathan A. Fidler is a scholar working on Physiology, Neurology and Molecular Biology. According to data from OpenAlex, Jonathan A. Fidler has authored 15 papers receiving a total of 651 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Physiology, 5 papers in Neurology and 4 papers in Molecular Biology. Recurrent topics in Jonathan A. Fidler's work include Lysosomal Storage Disorders Research (5 papers), Amyotrophic Lateral Sclerosis Research (4 papers) and Neurogenetic and Muscular Disorders Research (3 papers). Jonathan A. Fidler is often cited by papers focused on Lysosomal Storage Disorders Research (5 papers), Amyotrophic Lateral Sclerosis Research (4 papers) and Neurogenetic and Muscular Disorders Research (3 papers). Jonathan A. Fidler collaborates with scholars based in United States and Germany. Jonathan A. Fidler's co-authors include Seng H. Cheng, Lamya S. Shihabuddin, Tatyana V. Taksir, James C. Dodge, Christopher M. Treleaven, Richard L. Sidman, Marco A. Passini, Michael Zhao, Paul S. García and Thomas J. Tamsett and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and The FASEB Journal.

In The Last Decade

Jonathan A. Fidler

15 papers receiving 628 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jonathan A. Fidler United States 14 230 230 202 147 108 15 651
Jay P. Ross Canada 15 226 1.0× 97 0.4× 241 1.2× 57 0.4× 105 1.0× 39 653
Eleonora Dalla Bella Italy 15 123 0.5× 151 0.7× 458 2.3× 193 1.3× 55 0.5× 33 684
John A. Damiano Australia 18 398 1.7× 428 1.9× 262 1.3× 68 0.5× 444 4.1× 32 1.3k
Mercédes Pineda Spain 18 499 2.2× 368 1.6× 70 0.3× 73 0.5× 278 2.6× 29 1.0k
Mariana C. Rocha United Kingdom 13 700 3.0× 110 0.5× 142 0.7× 93 0.6× 53 0.5× 24 942
Stefania Battistini Italy 18 411 1.8× 199 0.9× 543 2.7× 299 2.0× 31 0.3× 51 1.0k
Ekaterina Zakharova Russia 16 311 1.4× 439 1.9× 217 1.1× 30 0.2× 111 1.0× 128 962
Niranjanan Nirmalananthan United Kingdom 11 293 1.3× 61 0.3× 177 0.9× 115 0.8× 30 0.3× 23 537
Jennifer Müller vom Hagen Germany 12 169 0.7× 152 0.7× 150 0.7× 44 0.3× 37 0.3× 15 440
Shinobu Hirai Japan 13 287 1.2× 114 0.5× 230 1.1× 83 0.6× 70 0.6× 41 604

Countries citing papers authored by Jonathan A. Fidler

Since Specialization
Citations

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

Fields of papers citing papers by Jonathan A. Fidler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jonathan A. Fidler. 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 Jonathan A. Fidler. The network helps show where Jonathan A. Fidler may publish in the future.

Co-authorship network of co-authors of Jonathan A. Fidler

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

All Works

15 of 15 papers shown
1.
Mansouri, Mohammad Taghi, Jonathan A. Fidler, Qing Cheng Meng, Roderic G. Eckenhoff, & Paul S. García. (2019). Sex effects on behavioral markers of emergence from propofol and isoflurane anesthesia in rats. Behavioural Brain Research. 367. 59–67. 13 indexed citations
2.
Fidler, Jonathan A., et al.. (2018). Faster emergence behavior from ketamine/xylazine anesthesia with atipamezole versus yohimbine. PLoS ONE. 13(10). e0199087–e0199087. 19 indexed citations
3.
Rha, Jennifer, Stephanie K. Jones, Jonathan A. Fidler, et al.. (2017). The RNA-binding protein, ZC3H14, is required for proper poly(A) tail length control, expression of synaptic proteins, and brain function in mice. Human Molecular Genetics. 26(19). 3663–3681. 25 indexed citations
4.
Safavynia, Seyed A., Glenda L. Keating, Jonathan A. Fidler, et al.. (2016). Effects of γ-Aminobutyric Acid Type A Receptor Modulation by Flumazenil on Emergence from General Anesthesia. Anesthesiology. 125(1). 147–158. 36 indexed citations
5.
García, Paul S., Vincent T. Ciavatta, Jonathan A. Fidler, et al.. (2015). Concentration-Dependent Dual Role of Thrombin in Protection of Cultured Rat Cortical Neurons. Neurochemical Research. 40(11). 2220–2229. 25 indexed citations
6.
Dodge, James C., Christopher M. Treleaven, Jonathan A. Fidler, et al.. (2013). Metabolic signatures of amyotrophic lateral sclerosis reveal insights into disease pathogenesis. Proceedings of the National Academy of Sciences. 110(26). 10812–10817. 92 indexed citations
7.
Treleaven, Christopher M., Thomas J. Tamsett, Jie Bu, et al.. (2012). Gene Transfer to the CNS Is Efficacious in Immune-primed Mice Harboring Physiologically Relevant Titers of Anti-AAV Antibodies. Molecular Therapy. 20(9). 1713–1723. 27 indexed citations
8.
Treleaven, Christopher M., Thomas J. Tamsett, Jonathan A. Fidler, et al.. (2011). Comparative Analysis of Acid Sphingomyelinase Distribution in the CNS of Rats and Mice Following Intracerebroventricular Delivery. PLoS ONE. 6(1). e16313–e16313. 5 indexed citations
9.
Fidler, Jonathan A., Christopher M. Treleaven, Thomas J. Tamsett, et al.. (2011). Disease progression in a mouse model of amyotrophic lateral sclerosis: the influence of chronic stress and corticosterone. The FASEB Journal. 25(12). 4369–4377. 26 indexed citations
10.
Sidman, Richard L., Tatyana V. Taksir, Christopher M. Treleaven, et al.. (2010). Relationship between neuropathology and disease progression in the SOD1G93A ALS mouse. Experimental Neurology. 227(2). 287–295. 38 indexed citations
11.
Dodge, James C., Christopher M. Treleaven, Jonathan A. Fidler, et al.. (2010). AAV4-mediated Expression of IGF-1 and VEGF Within Cellular Components of the Ventricular System Improves Survival Outcome in Familial ALS Mice. Molecular Therapy. 18(12). 2075–2084. 104 indexed citations
12.
Sidman, Richard L., Tatyana V. Taksir, Jonathan A. Fidler, et al.. (2008). Temporal Neuropathologic and Behavioral Phenotype of 6neo/6neoPompe Disease Mice. Journal of Neuropathology & Experimental Neurology. 67(8). 803–818. 74 indexed citations
13.
Dodge, James C., Jennifer Clarke, Christopher M. Treleaven, et al.. (2008). Intracerebroventricular infusion of acid sphingomyelinase corrects CNS manifestations in a mouse model of Niemann–Pick A disease. Experimental Neurology. 215(2). 349–357. 60 indexed citations
14.
Ziegler, Robin J., Scott D. Bercury, Jonathan A. Fidler, et al.. (2008). Ability of Adeno-Associated Virus Serotype 8-Mediated Hepatic Expression of Acid α-Glucosidase to Correct the Biochemical and Motor Function Deficits of Presymptomatic and Symptomatic Pompe Mice. Human Gene Therapy. 19(6). 609–621. 50 indexed citations
15.
Passini, Marco A., Jie Bu, Jonathan A. Fidler, et al.. (2007). Combination brain and systemic injections of AAV provide maximal functional and survival benefits in the Niemann-Pick mouse. Proceedings of the National Academy of Sciences. 104(22). 9505–9510. 57 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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