Kate Bushby

1.9k total citations
33 papers, 811 citations indexed

About

Kate Bushby is a scholar working on Molecular Biology, Genetics and Genetics. According to data from OpenAlex, Kate Bushby has authored 33 papers receiving a total of 811 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Molecular Biology, 12 papers in Genetics and 8 papers in Genetics. Recurrent topics in Kate Bushby's work include Muscle Physiology and Disorders (16 papers), Genomics and Rare Diseases (10 papers) and Neurogenetic and Muscular Disorders Research (8 papers). Kate Bushby is often cited by papers focused on Muscle Physiology and Disorders (16 papers), Genomics and Rare Diseases (10 papers) and Neurogenetic and Muscular Disorders Research (8 papers). Kate Bushby collaborates with scholars based in United Kingdom, France and United States. Kate Bushby's co-authors include Anita K. Simonds, Uwe Mellies, Carina Wallgren‐Pettersson, Rumaisa Bashir, Sharon Keers, Hanns Lochmüller, Volker Straub, Helen McConachie, Ann Le Couteur and Domenica Taruscio and has published in prestigious journals such as Brain, Annals of Neurology and The Lancet Neurology.

In The Last Decade

Kate Bushby

33 papers receiving 792 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kate Bushby United Kingdom 15 548 179 172 150 122 33 811
Rachel Thompson United Kingdom 14 463 0.8× 191 1.1× 109 0.6× 145 1.0× 123 1.0× 33 744
Ana Cabello Spain 24 705 1.3× 175 1.0× 132 0.8× 165 1.1× 200 1.6× 51 1.4k
Maggie Williams United Kingdom 17 512 0.9× 136 0.8× 237 1.4× 148 1.0× 167 1.4× 52 1.1k
Benjamin D. Canan United States 15 559 1.0× 89 0.5× 255 1.5× 101 0.7× 61 0.5× 30 812
Oneil G. Bhalala Australia 9 470 0.9× 207 1.2× 90 0.5× 61 0.4× 96 0.8× 18 955
Josef Ekstein United States 12 407 0.7× 193 1.1× 58 0.3× 64 0.4× 170 1.4× 27 851
Jodi Warman‐Chardon Canada 17 462 0.8× 170 0.9× 55 0.3× 188 1.3× 249 2.0× 66 838
Gabrielle Mettler Canada 13 588 1.1× 152 0.8× 75 0.4× 74 0.5× 440 3.6× 17 1.3k
Juliana Gurgel‐Giannetti Brazil 14 523 1.0× 66 0.4× 299 1.7× 110 0.7× 124 1.0× 42 739
Elizabeth T. DeChene United States 10 405 0.7× 170 0.9× 283 1.6× 118 0.8× 53 0.4× 14 575

Countries citing papers authored by Kate Bushby

Since Specialization
Citations

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

Fields of papers citing papers by Kate Bushby

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kate Bushby

This figure shows the co-authorship network connecting the top 25 collaborators of Kate Bushby. A scholar is included among the top collaborators of Kate Bushby 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 Kate Bushby. Kate Bushby 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.
Lynn, Stephen, et al.. (2017). How the EUCERD Joint Action supported initiatives on Rare Diseases. European Journal of Medical Genetics. 60(3). 185–189. 7 indexed citations
2.
Evangelista, Teresinha, António Atalaia, Matt Johnson, et al.. (2016). The context for the thematic grouping of rare diseases to facilitate the establishment of European Reference Networks. Orphanet Journal of Rare Diseases. 11(1). 17–17. 25 indexed citations
3.
Thompson, Rachel, Domenica Taruscio, Lucía Monaco, et al.. (2014). RD-Connect: An Integrated Platform Connecting Databases, Registries, Biobanks and Clinical Bioinformatics for Rare Disease Research. Journal of General Internal Medicine. 29(S3). 780–787. 120 indexed citations
4.
Taruscio, Domenica, et al.. (2014). Centres of Expertise and European Reference Networks: key issues in the field of rare diseases. The EUCERD Recommendations.. PubMed. 12 Suppl 3. s621–5. 19 indexed citations
5.
Lochmüller, Hanns, Adrian Tassoni, Kate Bushby, et al.. (2013). The TREAT-NMD care and trial site registry: an online registry to facilitate clinical research for neuromuscular diseases. Orphanet Journal of Rare Diseases. 8(1). 171–171. 25 indexed citations
6.
Rodwell, Charlotte, Ségolène Aymé, & Kate Bushby. (2012). Scope of centres of expertise for rare diseases in European countries where they exist. Orphanet Journal of Rare Diseases. 7(S2). 1 indexed citations
7.
Wagner, Matias, Amina Chaouch, Juliane Müller, et al.. (2012). Presymptomatic late-onset Pompe disease identified by the dried blood spot test. Neuromuscular Disorders. 23(1). 89–92. 8 indexed citations
8.
Bushby, Kate. (2012). European Reference Networks: developing a EUCERD opinion. Orphanet Journal of Rare Diseases. 7(S2). 1 indexed citations
9.
Odgerel, Zagaa, Anna Sárközy, Caoimhe McKenna, et al.. (2010). Inheritance patterns and phenotypic features of myofibrillar myopathy associated with a BAG3 mutation. Neuromuscular Disorders. 20(7). 438–442. 71 indexed citations
10.
Forrest, Katharine, Safa Al‐Sarraj, C. Sewry, et al.. (2010). Infantile onset myofibrillar myopathy due to recessive CRYAB mutations. Neuromuscular Disorders. 21(1). 37–40. 36 indexed citations
11.
Bushby, Kate, et al.. (2006). Survey of behaviour problems in children with neuromuscular diseases. European Journal of Paediatric Neurology. 10(3). 129–134. 43 indexed citations
12.
Sellick, Gabrielle S., Cheryl Longman, Martin Brockington, et al.. (2005). Localisation of merosin-positive congenital muscular dystrophy to chromosome 4p16.3. Human Genetics. 117(2-3). 207–212. 11 indexed citations
13.
Brockington, Martin, S. Brown, Yeliz Yuva, et al.. (2004). Prenatal diagnosis of Ullrich congenital muscular dystrophy using haplotype analysis and collagen VI immunocytochemistry. Prenatal Diagnosis. 24(6). 440–444. 14 indexed citations
14.
15.
Viollet, Louis, A Barois, Ziad Rifai, et al.. (2002). Mapping of autosomal recessive chronic distal spinal muscular atrophy to chromosome 11q13. Annals of Neurology. 51(5). 585–592. 35 indexed citations
16.
Argov, Zohar, Dov Soffer, Esther Kahana, et al.. (2000). Muscular dystrophy due to dysferlin deficiency in Libyan Jews. Brain. 123(6). 1229–1237. 77 indexed citations
17.
Britton, S., Tom C. Freeman, Elizabeth Vafiadaki, et al.. (2000). The Third Human FER-1-like Protein Is Highly Similar to Dysferlin. Genomics. 68(3). 313–321. 59 indexed citations
18.
Gnecchi‐Ruscone, Tomaso, Eugenio Mercuri, Giovanni Paternostro, et al.. (1999). Cardiomyopathy in Duchenne, Becker, and sarcoglycanopathies: A role for coronary dysfunction?. Muscle & Nerve. 22(11). 1549–1556. 2 indexed citations
19.
Jang, Wonhee, John Weber, Rumaisa Bashir, Kate Bushby, & Miriam H. Meisler. (1996). Aup1, a Novel Gene on Mouse Chromosome 6 and Human Chromosome 2p13. Genomics. 36(2). 366–368. 11 indexed citations
20.
Bashir, Rumaisa, Sharon Keers, Tom Strachan, et al.. (1996). Genetic and Physical Mapping at the Limb-Girdle Muscular Dystrophy Locus (LGMD2B) on Chromosome 2p. Genomics. 33(1). 46–52. 44 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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