Arlene D’Silva

789 total citations
23 papers, 487 citations indexed

About

Arlene D’Silva is a scholar working on Genetics, Molecular Biology and Surgery. According to data from OpenAlex, Arlene D’Silva has authored 23 papers receiving a total of 487 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Genetics, 10 papers in Molecular Biology and 6 papers in Surgery. Recurrent topics in Arlene D’Silva's work include Neurogenetic and Muscular Disorders Research (15 papers), RNA modifications and cancer (6 papers) and Congenital Anomalies and Fetal Surgery (5 papers). Arlene D’Silva is often cited by papers focused on Neurogenetic and Muscular Disorders Research (15 papers), RNA modifications and cancer (6 papers) and Congenital Anomalies and Fetal Surgery (5 papers). Arlene D’Silva collaborates with scholars based in Australia, United States and Canada. Arlene D’Silva's co-authors include Michelle A. Farrar, Didu Kariyawasam, Jon Hyett, Jens R. Coorssen, Cindy Lin, Veronica Wiley, Monique M. Ryan, Hugo Sampaio, Kate A. Carey and Nadine A. Kasparian and has published in prestigious journals such as Journal of Neurology Neurosurgery & Psychiatry, Molecular Therapy and Developmental Medicine & Child Neurology.

In The Last Decade

Arlene D’Silva

23 papers receiving 478 citations

Peers

Countries citing papers authored by Arlene D’Silva

Since Specialization

Citations

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

Fields of papers citing papers by Arlene D’Silva

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Arlene D’Silva. 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 Arlene D’Silva. The network helps show where Arlene D’Silva may publish in the future.

Co-authorship network of co-authors of Arlene D’Silva

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

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	Clinician Understanding, Acceptance and utilization of Ketogenic diet therapy for epilepsy in Australia and New Zealand: An online survey 2024 ·Epilepsy & Behavior Reports ·(unknown), Arlene D’Silva, Michael Cardamone, (unknown), Chong Wong, Michelle A. Farrar	1
2	Identification of Novel CSF-Derived miRNAs in Treated Paediatric Onset Spinal Muscular Atrophy: An Exploratory Study 2023 ·Pharmaceutics ·Arlene D’Silva, Didu Kariyawasam, (unknown), Chelsea Mayoh, Michelle A. Farrar	13
3	Structural and functional characterization of capsid binding by anti-AAV9 monoclonal antibodies from infants after SMA gene therapy 2023 ·Molecular Therapy ·Grant J. Logan, Mario Mietzsch, (unknown), Arlene D’Silva, Daniel G. Anderson, (unknown), (unknown), (unknown), Paul R. Chipman, (unknown), Peter R. Schofield, Daniel Christ, Christopher C. Goodnow, Joanne H. Reed, Michelle A. Farrar, Robert McKenna, Ian E. Alexander	19
4	Characterizing Common Phenotypes Across the Childhood Dementia Disorders: A Cross-sectional Study From Two Australian Centers 2023 ·Pediatric Neurology ·(unknown), Nicholas Smith, Alexandra Johnson, Kaustuv Bhattacharya, Simone Ardern‐Holmes, Carolyn Ellaway, Russell C. Dale, Arlene D’Silva, Didu Kariyawasam, (unknown), Tejaswi Kandula, Katherine Lewis, (unknown), Michelle A. Farrar	2
5	The Carrier Frequency of Two SMN1 Genes in Parents of Symptomatic Children with SMA and the Significance of SMN1 Exon 8 in Carriers 2023 ·Genes ·(unknown), (unknown), (unknown), David Mowat, Kristi Jones, Edwin P. Kirk, Didu Kariyawasam, Michelle A. Farrar, Arlene D’Silva	1
6	Newborn screening for spinal muscular atrophy in Australia: a non-randomised cohort study 2023 ·The Lancet Child & Adolescent Health ·Didu Kariyawasam, Arlene D’Silva, Hugo Sampaio, Nancy Briggs, (unknown), Veronica Wiley, Michelle A. Farrar	32
7	Decision-making and challenges within the evolving treatment algorithm in spinal muscular atrophy: a clinical perspective 2023 ·Expert Review of Neurotherapeutics ·(unknown), Michelle A. Farrar, Arlene D’Silva, Didu Kariyawasam	6
8	Incidence of Duchenne muscular dystrophy in the modern era; an Australian study 2022 ·European Journal of Human Genetics ·Didu Kariyawasam, Arlene D’Silva, David Mowat, (unknown), Hugo Sampaio, Kristi Jones, Peter J. Taylor, Michelle A. Farrar	17
9	Onasemnogene abeparvovec in spinal muscular atrophy: an Australian experience of safety and efficacy 2022 ·Annals of Clinical and Translational Neurology ·Arlene D’Silva, (unknown), Didu Kariyawasam, (unknown), Peter Barclay, Anita Cairns, (unknown), Monique M. Ryan, Hugo Sampaio, Nicholas M. A. Smith, Ian Woodcock, Eppie M. Yiu, Ian E. Alexander, Michelle A. Farrar	46
10	Growth and nutrition in pediatric neuromuscular disorders 2021 ·Clinical Nutrition ·(unknown), (unknown), Arlene D’Silva, Hugo Sampaio, Kristen Neville, Michelle A. Farrar	11
11	“We needed this”: perspectives of parents and healthcare professionals involved in a pilot newborn screening program for spinal muscular atrophy 2021 ·EClinicalMedicine ·Didu Kariyawasam, Arlene D’Silva, Janine Vetsch, Claire E. Wakefield, Veronica Wiley, Michelle A. Farrar	29
12	Real-world respiratory and bulbar comorbidities of SMA type 1 children treated with nusinersen: 2-Year single centre Australian experience 2020 ·Paediatric Respiratory Reviews ·(unknown), John Widger, Arthur Teng, Dominic A. Fitzgerald, Arlene D’Silva, Michelle A. Farrar	36
13	Health, wellbeing and lived experiences of adults with SMA: a scoping systematic review 2020 ·Orphanet Journal of Rare Diseases ·(unknown), Kate A. Carey, Arlene D’Silva, Steve Vucic, Matthew C. Kiernan, Nadine A. Kasparian, Michelle A. Farrar	31
14	Motor unit changes in children with symptomatic spinal muscular atrophy treated with nusinersen 2020 ·Journal of Neurology Neurosurgery & Psychiatry ·Didu Kariyawasam, Arlene D’Silva, James Howells, (unknown), (unknown), Cindy Lin, Michelle A. Farrar	46
15	First Trimester Protein Biomarkers for Risk of Spontaneous Preterm Birth: Identifying a Critical Need for More Rigorous Approaches to Biomarker Identification and Validation 2020 ·Fetal Diagnosis and Therapy ·Arlene D’Silva, Jon Hyett, Jens R. Coorssen	13
16	“Getting ready for the adult world”: how adults with spinal muscular atrophy perceive and experience healthcare, transition and well-being 2019 ·Orphanet Journal of Rare Diseases ·(unknown), Kate A. Carey, Arlene D’Silva, Nadine A. Kasparian, Michelle A. Farrar	25
17	Biomarkers and the Development of a Personalized Medicine Approach in Spinal Muscular Atrophy 2019 ·Frontiers in Neurology ·Didu Kariyawasam, Arlene D’Silva, Cindy Lin, Monique M. Ryan, Michelle A. Farrar	49
18	Proteomic analysis of first trimester maternal serum to identify candidate biomarkers potentially predictive of spontaneous preterm birth 2018 ·Journal of Proteomics ·Arlene D’Silva, Jon Hyett, Jens R. Coorssen	31
19	Identification of first trimester maternal serum markers predictive of spontaneous preterm birth 2018 ·Arlene D’Silva	2
20	Differential Placental Gene Expression in Term Pregnancies Affected by Fetal Growth Restriction and Macrosomia 2014 ·Fetal Diagnosis and Therapy ·(unknown), Donna Lai, Arlene D’Silva, Sean Seeho, (unknown), Cecilia Ng, Jon Hyett	22

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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