J. Burge

469 total citations
11 papers, 282 citations indexed

About

J. Burge is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, J. Burge has authored 11 papers receiving a total of 282 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 8 papers in Cellular and Molecular Neuroscience and 7 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in J. Burge's work include Ion channel regulation and function (9 papers), Genetic Neurodegenerative Diseases (8 papers) and Cardiac electrophysiology and arrhythmias (5 papers). J. Burge is often cited by papers focused on Ion channel regulation and function (9 papers), Genetic Neurodegenerative Diseases (8 papers) and Cardiac electrophysiology and arrhythmias (5 papers). J. Burge collaborates with scholars based in United Kingdom, Italy and Finland. J. Burge's co-authors include Michael G. Hanna, Richa Sud, Emma Matthews, Doreen Fialho, Andrea Haworth, Mary B. Davis, D.L. Raja Rayan, Simona Portaro, Alejandro Horga and S. Veronica Tan and has published in prestigious journals such as Brain, Neurology and Annals of Neurology.

In The Last Decade

J. Burge

11 papers receiving 275 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
J. Burge United Kingdom	7	244	184	177	35	8	11	282
D.L. Raja Rayan United Kingdom	6	226 0.9×	176 1.0×	171 1.0×	36 1.0×	9 1.1×	10	272
Paola Cudia Italy	9	216 0.9×	137 0.7×	82 0.5×	56 1.6×	4 0.5×	12	309
Futoshi Aoike Japan	5	257 1.1×	185 1.0×	98 0.6×	37 1.1×	4 0.5×	7	287
J. Trip Netherlands	10	260 1.1×	244 1.3×	178 1.0×	63 1.8×	2 0.3×	13	357
K. Censier Switzerland	7	302 1.2×	104 0.6×	201 1.1×	18 0.5×	15 1.9×	15	366
James Cleland New Zealand	9	149 0.6×	221 1.2×	53 0.3×	110 3.1×	7 0.9×	17	284
N. Benammar France	6	286 1.2×	151 0.8×	249 1.4×	72 2.1×	2 0.3×	9	393
Valérie Pouliot Canada	8	297 1.2×	120 0.7×	251 1.4×	5 0.1×	5 0.6×	16	376
K Jurkat-Rott Germany	4	431 1.8×	265 1.4×	281 1.6×	28 0.8×	62 7.8×	4	461
Gerardo Del Valle Costa Rica	8	180 0.7×	223 1.2×	28 0.2×	71 2.0×	4 0.5×	12	334

Countries citing papers authored by J. Burge

Since Specialization

Citations

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

Fields of papers citing papers by J. Burge

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of J. Burge

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

All Works

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11 of 11 papers shown

Suetterlin, Karen, Emma Matthews, Richa Sud, et al.. (2021). Translating genetic and functional data into clinical practice: a series of 223 families with myotonia. Brain. 145(2). 607–620. 14 indexed citations

Horga, Alejandro, D.L. Raja Rayan, Emma Matthews, et al.. (2013). Prevalence study of genetically defined skeletal muscle channelopathies in England. Neurology. 80(16). 1472–1475. 98 indexed citations

Burge, J., Michael G. Hanna, & Stéphanie Schorge. (2013). Nongenomic actions of progesterone and 17β‐estradiol on the chloride conductance of skeletal muscle. Muscle & Nerve. 48(4). 589–591. 7 indexed citations

Haworth, A., Richa Sud, Emma Matthews, et al.. (2012). 1154 Skeletal muscle chloride channel gene (CLCN1) copy number variation can cause myotonia congenita. Journal of Neurology Neurosurgery & Psychiatry. 83(3). e1.124–e1. 1 indexed citations

Rayan, D.L. Raja, A. Haworth, Richa Sud, et al.. (2012). A new explanation for recessive myotonia congenita. Neurology. 78(24). 1953–1958. 27 indexed citations

Horga, Alejandro, D.L. Raja Rayan, A. Haworth, et al.. (2012). P39 Prevalence study of skeletal muscle channelopathies in England. Neuromuscular Disorders. 22. S17–S17. 1 indexed citations

Raheem, Olayinka, Sini Penttilä, Tiina Suominen, et al.. (2012). New immunohistochemical method for improved myotonia and chloride channel mutation diagnostics. Neurology. 79(22). 2194–2200. 9 indexed citations

Burge, J. & Michael G. Hanna. (2011). Novel Insights into the Pathomechanisms of Skeletal Muscle Channelopathies. Current Neurology and Neuroscience Reports. 12(1). 62–69. 44 indexed citations

Tan, S. Veronica, Emma Matthews, Melissa Barber, et al.. (2011). Refined exercise testing can aid dna‐based diagnosis in muscle channelopathies. Annals of Neurology. 69(2). 328–340. 72 indexed citations

10.

Moore, Ann, Elizabeth Bryant, J. Burge, et al.. (2006). Whiplash Associated Disorder: A One Year Standardised Data Collection Project. University of Brighton Repository (University of Brighton). 4 indexed citations

11.

Sheng, James J., et al.. (2006). Concept of Geometric Factor and Its Practical Application to Estimate Horizontal and Vertical Permeabilities. SPE Reservoir Evaluation & Engineering. 9(6). 698–707. 5 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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