J. Blake

1.1k total citations
10 papers, 681 citations indexed

About

J. Blake is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Neurology. According to data from OpenAlex, J. Blake has authored 10 papers receiving a total of 681 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 5 papers in Cellular and Molecular Neuroscience and 3 papers in Neurology. Recurrent topics in J. Blake's work include Hereditary Neurological Disorders (5 papers), Genetic Neurodegenerative Diseases (4 papers) and Protein Kinase Regulation and GTPase Signaling (3 papers). J. Blake is often cited by papers focused on Hereditary Neurological Disorders (5 papers), Genetic Neurodegenerative Diseases (4 papers) and Protein Kinase Regulation and GTPase Signaling (3 papers). J. Blake collaborates with scholars based in United Kingdom, Spain and Italy. J. Blake's co-authors include Mary M. Reilly, Matilde Laurá, Henry Houlden, Michael E. Shy, Krzysztof Krajewski, Richard A. Lewis, Fabienne Wavrant‐De Vrièze, Nicholas Wood, David Bennett and Mary B. Davis and has published in prestigious journals such as Neurology, Journal of Neurology Neurosurgery & Psychiatry and Neuromuscular Disorders.

In The Last Decade

J. Blake

10 papers receiving 666 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
J. Blake United Kingdom	9	468	279	250	124	90	10	681
Corinne Magdelaine France	15	467 1.0×	159 0.6×	299 1.2×	204 1.6×	112 1.2×	45	749
Moreno Ferrarini Italy	16	353 0.8×	223 0.8×	249 1.0×	105 0.8×	168 1.9×	31	607
Kenji Nanao Japan	10	235 0.5×	90 0.3×	220 0.9×	97 0.8×	58 0.6×	17	561
Anne Höfer Germany	15	220 0.5×	324 1.2×	131 0.5×	132 1.1×	25 0.3×	16	565
Michel Gugenheim France	11	424 0.9×	235 0.8×	143 0.6×	158 1.3×	71 0.8×	18	555
Ilaria Cabrini Italy	9	282 0.6×	147 0.5×	146 0.6×	123 1.0×	154 1.7×	12	447
Lorenzo Nanetti Italy	15	491 1.0×	270 1.0×	400 1.6×	129 1.0×	84 0.9×	51	721
Alessandro Malandrini Italy	16	246 0.5×	134 0.5×	448 1.8×	130 1.0×	94 1.0×	48	734
Rocco Adiutori United Kingdom	11	107 0.2×	248 0.9×	170 0.7×	58 0.5×	98 1.1×	19	520
María José Chumillas Spain	12	525 1.1×	263 0.9×	246 1.0×	229 1.8×	97 1.1×	14	766

Countries citing papers authored by J. Blake

Since Specialization

Citations

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

Fields of papers citing papers by J. Blake

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

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

All Works

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10 of 10 papers shown

Shah, Sanjiv J., David Choi, J. Blake, et al.. (2019). Spinal Stenosis in Familial Transthyretin Amyloidosis. Journal of Neuromuscular Diseases. 6(2). 267–270. 13 indexed citations

Pelayo‐Negro, Ana L., Zane Jaunmuktane, R. Scalco, et al.. (2015). Transthyretin V122I amyloidosis with clinical and histological evidence of amyloid neuropathy and myopathy. Neuromuscular Disorders. 25(6). 511–515. 19 indexed citations

Pelayo‐Negro, Ana L., Matilde Laurá, J. Blake, et al.. (2015). A study of the neuropathy associated with transthyretin amyloidosis (ATTR) in the UK. Journal of Neurology Neurosurgery & Psychiatry. 87(6). 620–627. 46 indexed citations

Murphy, Sinéad M., Matilde Laurá, Michael P. Lunn, et al.. (2012). Hand weakness in Charcot-Marie-Tooth disease 1X. Neuromuscular Disorders. 22(7). 622–626. 16 indexed citations

Polke, James M., Matilde Laurá, Davide Pareyson, et al.. (2011). Recessive axonal Charcot-Marie-Tooth disease due to compound heterozygous mitofusin 2 mutations. Neurology. 77(2). 168–173. 63 indexed citations

Russo, Massimo, Matilde Laurá, James M. Polke, et al.. (2010). Variable phenotypes are associated with PMP22 missense mutations. Neuromuscular Disorders. 21(2). 106–114. 42 indexed citations

Bennett, David, Mike Groves, J. Blake, et al.. (2008). The use of nerve and muscle biopsy in the diagnosis of vasculitis: a 5 year retrospective study. Journal of Neurology Neurosurgery & Psychiatry. 79(12). 1376–1381. 65 indexed citations

Houlden, Henry, Matilde Laurá, Fabienne Wavrant‐De Vrièze, et al.. (2008). Mutations in the HSP27 ( HSPB1 ) gene cause dominant, recessive, and sporadic distal HMN/CMT type 2. Neurology. 71(21). 1660–1668. 141 indexed citations

Groves, Mike, J. Blake, JL Holton, et al.. (2007). The use of nerve and muscle biopsy in the diagnosis of vasculitis: a 5-year retrospective study of 53 cases. Journal of the Peripheral Nervous System. 12. 9–10. 2 indexed citations

10.

Shy, Michael E., et al.. (2005). Reliability and validity of the CMT neuropathy score as a measure of disability. Neurology. 64(7). 1209–1214. 274 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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