Rebecca Gooding

1.5k total citations
18 papers, 674 citations indexed

About

Rebecca Gooding is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Cellular and Molecular Neuroscience. According to data from OpenAlex, Rebecca Gooding has authored 18 papers receiving a total of 674 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 6 papers in Cardiology and Cardiovascular Medicine and 5 papers in Cellular and Molecular Neuroscience. Recurrent topics in Rebecca Gooding's work include Hereditary Neurological Disorders (5 papers), Cardiomyopathy and Myosin Studies (5 papers) and Muscle Physiology and Disorders (4 papers). Rebecca Gooding is often cited by papers focused on Hereditary Neurological Disorders (5 papers), Cardiomyopathy and Myosin Studies (5 papers) and Muscle Physiology and Disorders (4 papers). Rebecca Gooding collaborates with scholars based in Australia, United Kingdom and United States. Rebecca Gooding's co-authors include Dora Angelicheva, David Gresham, Frank Baas, Karin Blechschmidt, Luba Kalaydjieva, P K Thomas, R. H. M. King, André Rosenthal, Paul E. Jenkins and Luba Kalaydjieva and has published in prestigious journals such as Neurology, Journal of Nutrition and Ophthalmology.

In The Last Decade

Rebecca Gooding

18 papers receiving 660 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Rebecca Gooding Australia 10 321 268 121 100 67 18 674
Alice Rossi Italy 12 465 1.4× 175 0.7× 49 0.4× 119 1.2× 27 0.4× 24 897
Réda Ouazzani Morocco 12 219 0.7× 214 0.8× 52 0.4× 79 0.8× 12 0.2× 38 695
Patricio Rojas Chile 14 291 0.9× 138 0.5× 39 0.3× 60 0.6× 17 0.3× 31 556
P. L. Murphy United States 13 308 1.0× 134 0.5× 41 0.3× 35 0.3× 50 0.7× 18 922
Sapna Srivastava United States 11 346 1.1× 270 1.0× 39 0.3× 83 0.8× 17 0.3× 15 770
Karin Weigelt Germany 15 409 1.3× 81 0.3× 127 1.0× 38 0.4× 12 0.2× 18 834
Susan C. Feldman United States 15 359 1.1× 254 0.9× 39 0.3× 63 0.6× 6 0.1× 20 907
Andrew F. Stewart United States 14 473 1.5× 251 0.9× 48 0.4× 55 0.6× 19 0.3× 21 1.1k
Muhammad Mahajnah Israel 16 391 1.2× 117 0.4× 24 0.2× 126 1.3× 10 0.1× 55 831
Hiroaki Kawasaki Japan 15 398 1.2× 246 0.9× 16 0.1× 40 0.4× 17 0.3× 43 766

Countries citing papers authored by Rebecca Gooding

Since Specialization
Citations

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

Fields of papers citing papers by Rebecca Gooding

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rebecca Gooding

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

All Works

18 of 18 papers shown
1.
Beecroft, Sarah J., Kyle S. Yau, Richard J. N. Allcock, et al.. (2020). Targeted gene panel use in 2249 neuromuscular patients: the Australasian referral center experience. Annals of Clinical and Translational Neurology. 7(3). 353–362. 24 indexed citations
2.
Jenkins, Paul E., et al.. (2020). Anxiety and depression in a sample of UK college students: a study of prevalence, comorbidity, and quality of life. Journal of American College Health. 69(8). 813–819. 94 indexed citations
3.
Beecroft, Sarah J., Josine M. de Winter, Coen A. C. Ottenheijm, et al.. (2019). Recessive MYH7-related myopathy in two families. Neuromuscular Disorders. 29(6). 456–467. 8 indexed citations
4.
Duff, Rachael M., Anne-Marie J. Shearwood, Judith A. Ermer, et al.. (2015). A mutation in MT-TW causes a tRNA processing defect and reduced mitochondrial function in a family with Leigh syndrome. Mitochondrion. 25. 113–119. 9 indexed citations
5.
Reis, Gerald F., et al.. (2015). Complex sarcolemmal invaginations mimicking myotendinous junctions in a case of Laing early‐onset distal myopathy. Neuropathology. 35(6). 575–581. 3 indexed citations
6.
Yau, Kyle S., Richard Allcock, Gianina Ravenscroft, et al.. (2014). G.P.18. Neuromuscular Disorders. 24(9-10). 799–800. 2 indexed citations
7.
Cullup, Thomas, Phillipa J. Lamont, Sebahattin Çirak, et al.. (2012). Mutations in MYH7 cause Multi-minicore Disease (MmD) with variable cardiac involvement. Neuromuscular Disorders. 22(12). 1096–1104. 54 indexed citations
8.
Junckerstorff, Reimar, Rebecca Gooding, Phillipa J. Lamont, & Nigel G. Laing. (2012). G.P.52 A case of X-linked myopathy with excessive autophagy (XMEA) showing a VMA21 gene mutation. Neuromuscular Disorders. 22(9-10). 820–820. 1 indexed citations
9.
Schulz, Stefan, Stefan Vielhaber, Petra Muschke, et al.. (2007). Congenital Cataract, Ataxia, External Ophthalmoplegia and Dysphagia in Two Siblings. A Marinesco-Sjögren-Like Syndrome. Neuropediatrics. 38(2). 88–90. 3 indexed citations
10.
Chandler, David, Vijesh Vaghjiani, Rebecca Gooding, et al.. (2006). Founder mutation causing infantile GM1-gangliosidosis in the Gypsy population. Molecular Genetics and Metabolism. 88(1). 93–95. 29 indexed citations
11.
Mastroyianni, Sotiria, Anastasia Garoufi, Konstantinos Voudris, et al.. (2006). Congenital cataracts facial dysmorphism neuropathy (CCFDN) syndrome: a rare cause of parainfectious rhabdomyolysis. European Journal of Pediatrics. 166(7). 747–749. 8 indexed citations
12.
Colomer, J., Rebecca Gooding, Dora Angelicheva, et al.. (2006). Clinical spectrum of CMT4C disease in patients homozygous for the p.Arg1109X mutation in SH3TC2. Neuromuscular Disorders. 16(7). 449–453. 39 indexed citations
13.
Gooding, Rebecca, et al.. (2005). A novel Gypsy founder mutation, p.Arg1109X in the CMT4C gene, causes variable peripheral neuropathy phenotypes. Journal of Medical Genetics. 42(12). e69–e69. 58 indexed citations
14.
Müllner-Eidenböck, Andrea, Elisabeth Moser, Michael Amon, et al.. (2004). Ocular features of the congenital cataracts facial dysmorphism neuropathy syndrome. Ophthalmology. 111(7). 1415–1423. 18 indexed citations
15.
Merlini, Luciano, Rebecca Gooding, Hanns Lochmüller, et al.. (2002). Genetic identity of Marinesco–Sjogren/myoglobinuria and CCFDN syndromes. Neurology. 58(2). 231–236. 25 indexed citations
16.
Kalaydjieva, Luba, David Gresham, Rebecca Gooding, et al.. (2001). N‐MYC Downstream‐Regulated Gene 1 Is Mutated In Hereditary Motor And Sensory Neuropathy‐LOM. Journal of the Peripheral Nervous System. 6(1). 64–64. 4 indexed citations
17.
Kalaydjieva, Luba, David Gresham, Rebecca Gooding, et al.. (2000). N-myc Downstream-Regulated Gene 1 Is Mutated in Hereditary Motor and Sensory Neuropathy–Lom. The American Journal of Human Genetics. 67(1). 47–58. 290 indexed citations
18.
Tove, S.B., et al.. (1985). Effect of Ambient Temperature on the Toxicity of Palmitoyl Glycerol in Weanling Mice. Journal of Nutrition. 115(11). 1477–1480. 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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