Emily C. Oates

2.6k total citations
26 papers, 311 citations indexed

About

Emily C. Oates is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Genetics. According to data from OpenAlex, Emily C. Oates has authored 26 papers receiving a total of 311 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 8 papers in Cardiology and Cardiovascular Medicine and 6 papers in Genetics. Recurrent topics in Emily C. Oates's work include Muscle Physiology and Disorders (8 papers), Cardiomyopathy and Myosin Studies (8 papers) and RNA modifications and cancer (7 papers). Emily C. Oates is often cited by papers focused on Muscle Physiology and Disorders (8 papers), Cardiomyopathy and Myosin Studies (8 papers) and RNA modifications and cancer (7 papers). Emily C. Oates collaborates with scholars based in Australia, United Kingdom and United States. Emily C. Oates's co-authors include Nigel F. Clarke, Kathryn N. North, Jonathan M. Payne, Kristy Rose, Richard Webster, James J. Dowling, Eva L. Feldman, Elizabeth M. Gibbs, Melanie Porter and Kristina Prelog and has published in prestigious journals such as Brain, Annals of Neurology and Human Molecular Genetics.

In The Last Decade

Emily C. Oates

24 papers receiving 307 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Emily C. Oates Australia 9 160 80 78 64 52 26 311
Yalda Nilipour Iran 12 219 1.4× 70 0.9× 41 0.5× 64 1.0× 53 1.0× 61 426
Teresa Giugliano Italy 12 189 1.2× 51 0.6× 110 1.4× 54 0.8× 31 0.6× 21 339
Fábio Barroso Argentina 12 285 1.8× 49 0.6× 82 1.1× 35 0.5× 27 0.5× 34 392
M. Janka Germany 8 187 1.2× 51 0.6× 113 1.4× 48 0.8× 25 0.5× 14 342
Oronzo Scarciolla Italy 10 222 1.4× 123 1.5× 54 0.7× 50 0.8× 48 0.9× 12 386
N Beauchamp United Kingdom 7 103 0.6× 52 0.7× 60 0.8× 33 0.5× 46 0.9× 8 403
M. Osborn United Kingdom 9 291 1.8× 76 0.9× 182 2.3× 95 1.5× 25 0.5× 13 495
Simona Mellone Italy 13 133 0.8× 46 0.6× 54 0.7× 19 0.3× 41 0.8× 31 373
Tomohiro Yamasaki Japan 11 111 0.7× 73 0.9× 53 0.7× 24 0.4× 66 1.3× 31 305
Kristina Martens Canada 11 83 0.5× 35 0.4× 36 0.5× 103 1.6× 32 0.6× 16 264

Countries citing papers authored by Emily C. Oates

Since Specialization
Citations

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

Fields of papers citing papers by Emily C. Oates

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Emily C. Oates. 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 Emily C. Oates. The network helps show where Emily C. Oates may publish in the future.

Co-authorship network of co-authors of Emily C. Oates

This figure shows the co-authorship network connecting the top 25 collaborators of Emily C. Oates. A scholar is included among the top collaborators of Emily C. Oates 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 Emily C. Oates. Emily C. Oates 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.
Su, Zheng, et al.. (2025). GeneRAIN: multifaceted representation of genes via deep learning of gene expression networks. Genome biology. 26(1). 288–288.
2.
Su, Zheng, et al.. (2024). Post-transcriptional regulation supports the homeostatic expression of mature RNA. Briefings in Bioinformatics. 26(1). 2 indexed citations
3.
Gayevskiy, Velimir, Ryan L. Davis, Marie Wong, et al.. (2023). Introme accurately predicts the impact of coding and noncoding variants on gene splicing, with clinical applications. Genome biology. 24(1). 118–118. 10 indexed citations
4.
Waddell, Leigh B., Michaela Yuen, Samantha J. Bryen, et al.. (2023). Case report: Adult-onset limb girdle muscular dystrophy in sibling pair due to novel homozygous LAMA2 missense variant. Frontiers in Neurology. 14. 1055639–1055639. 1 indexed citations
5.
Servián‐Morilla, Emilia, Eloy Rivas, Fathimath Faiz, et al.. (2022). A KLHL40 3’ UTR splice-altering variant causes milder NEM8, an under-appreciated disease mechanism. Human Molecular Genetics. 32(7). 1127–1136. 7 indexed citations
6.
Bryen, Samantha J., Emily C. Oates, Frances J. Evesson, et al.. (2020). Pathogenic deep intronic MTM1 variant activates a pseudo-exon encoding a nonsense codon resulting in severe X-linked myotubular myopathy. European Journal of Human Genetics. 29(1). 61–66. 7 indexed citations
7.
Sullivan, Patricia A., Chelsea Mayoh, Marie Wong, et al.. (2020). NEW GENES AND DISEASES / NGS & RELATED TECHNIQUES. Neuromuscular Disorders. 30. S144–S144. 1 indexed citations
8.
Coppens, Sandra, Nicolas Deconinck, Rahul Phadke, et al.. (2019). P.241Congenital titinopathy as a cause of severe to profound congenital weakness and early death. Neuromuscular Disorders. 29. S137–S137. 1 indexed citations
9.
Phadke, Rahul, Anna Sárközy, Emily C. Oates, et al.. (2019). P.236Myofibres with subsarcolemmal rims and/or central aggregates of mitochondria (SRCAM) are prevalent in congenital titinopathies. Neuromuscular Disorders. 29. S135–S135.
10.
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
11.
Oates, Emily C., Sandra Coppens, Madhura Bakshi, et al.. (2018). CONGENITAL MYOPATHIES: NEMALINE AND TITINOPATHIES. Neuromuscular Disorders. 28. S104–S104. 1 indexed citations
12.
Oates, Emily C., Kyle S. Yau, John E. Smith, et al.. (2017). Do titin developmental isoforms contribute to the pathogenesis of congenital titinopathy?. Neuromuscular Disorders. 27. S237–S238. 1 indexed citations
13.
O’Grady, Gina, Heather Best, Emily C. Oates, et al.. (2014). Recessive ACTA1 variant causes congenital muscular dystrophy with rigid spine. European Journal of Human Genetics. 23(6). 883–886. 16 indexed citations
14.
Payne, Jonathan M., et al.. (2013). Longitudinal assessment of cognition and T2‐hyperintensities in NF1: An 18‐year study. American Journal of Medical Genetics Part A. 164(3). 661–665. 41 indexed citations
15.
Oates, Emily C., Jonathan M. Payne, Sheryl Foster, Nigel F. Clarke, & Kathryn N. North. (2013). Young Australian adults with NF1 have poor access to health care, high complication rates, and limited disease knowledge. American Journal of Medical Genetics Part A. 161(4). 659–666. 29 indexed citations
17.
Gibbs, Elizabeth M., Nigel F. Clarke, Kristy Rose, et al.. (2013). Neuromuscular junction abnormalities in DNM2-related centronuclear myopathy. Journal of Molecular Medicine. 91(6). 727–737. 61 indexed citations
18.
Oates, Emily C., Stephen Reddel, Michael Rodriguez, et al.. (2012). Autosomal dominant congenital spinal muscular atrophy: a true form of spinal muscular atrophy caused by early loss of anterior horn cells. Brain. 135(6). 1714–1723. 19 indexed citations
19.
Oates, Emily C., et al.. (1990). Intraosseous hemorrhage of the sacrum. Another cause of a photopenic lesion on indium-111 labeled leukocyte scintigraphy.. PubMed. 15(8). 578–9. 1 indexed citations
20.
Outwater, Eric K., et al.. (1988). Indium-111-labeled leukocyte scintigraphy: diagnosis of subperiosteal abscesses complicating osteomyelitis in a child.. PubMed. 29(11). 1871–4. 3 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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