Simon Sadedin

3.1k total citations
17 papers, 454 citations indexed

About

Simon Sadedin is a scholar working on Genetics, Molecular Biology and Cancer Research. According to data from OpenAlex, Simon Sadedin has authored 17 papers receiving a total of 454 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Genetics, 9 papers in Molecular Biology and 3 papers in Cancer Research. Recurrent topics in Simon Sadedin's work include Genomics and Rare Diseases (10 papers), Genomic variations and chromosomal abnormalities (7 papers) and Cancer Genomics and Diagnostics (3 papers). Simon Sadedin is often cited by papers focused on Genomics and Rare Diseases (10 papers), Genomic variations and chromosomal abnormalities (7 papers) and Cancer Genomics and Diagnostics (3 papers). Simon Sadedin collaborates with scholars based in Australia, United States and United Kingdom. Simon Sadedin's co-authors include Alicia Oshlack, Bernard J. Pope, Harriet Dashnow, Zornitza Stark, Susan M. White, Sebastian Lunke, Belinda Phipson, Andreas Halman, Daniel G. MacArthur and Andrew Lonsdale and has published in prestigious journals such as Bioinformatics, The American Journal of Human Genetics and Human Molecular Genetics.

In The Last Decade

Simon Sadedin

17 papers receiving 451 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Simon Sadedin Australia 11 293 201 54 52 43 17 454
Mohamed El-Kalioby Saudi Arabia 9 125 0.4× 116 0.6× 17 0.3× 18 0.3× 12 0.3× 12 293
William P. Bone United States 10 291 1.0× 276 1.4× 79 1.5× 18 0.3× 3 0.1× 13 484
Andreas Zaucker United Kingdom 9 190 0.6× 51 0.3× 35 0.6× 11 0.2× 4 0.1× 12 299
Herman H. H. B. M. van Haagen Netherlands 7 253 0.9× 68 0.3× 58 1.1× 16 0.3× 12 0.3× 7 361
Andrew R. Jackson United States 8 285 1.0× 147 0.7× 100 1.9× 6 0.1× 6 0.1× 9 375
Ivan Limongelli Italy 11 187 0.6× 165 0.8× 29 0.5× 7 0.1× 6 0.1× 19 370
Snehit Prabhu United States 5 349 1.2× 335 1.7× 76 1.4× 18 0.3× 7 606
Arpit Mehta United States 10 260 0.9× 104 0.5× 64 1.2× 44 0.8× 11 356
A.L. Hillyard United States 7 265 0.9× 179 0.9× 10 0.2× 27 0.5× 2 0.0× 10 386
Xiaoying S. Zhong United States 11 207 0.7× 55 0.3× 42 0.8× 52 1.0× 2 0.0× 23 367

Countries citing papers authored by Simon Sadedin

Since Specialization
Citations

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

Fields of papers citing papers by Simon Sadedin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Simon Sadedin

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

All Works

17 of 17 papers shown
1.
Alshawsh, Mohammed Abdullah, Melissa Wake, Jozef Gécz, et al.. (2024). Epigenomic newborn screening for conditions with intellectual disability and autistic features in Australian newborns. Epigenomics. 16(18). 1203–1214. 2 indexed citations
2.
Halman, Andreas, et al.. (2024). Benchmarking pharmacogenomics genotyping tools: Performance analysis on short‐read sequencing samples and depth‐dependent evaluation. Clinical and Translational Science. 17(8). e13911–e13911. 2 indexed citations
3.
Horton, Ari, Sebastian Lunke, Simon Sadedin, Andrew Fennell, & Zornitza Stark. (2023). Elusive variants in autosomal recessive disease: how can we improve timely diagnosis?. European Journal of Human Genetics. 31(4). 371–374. 2 indexed citations
4.
Mordaunt, Dylan, Sebastian Lunke, Stefanie Eggers, et al.. (2023). The cost of proband and trio exome and genome analysis in rare disease: A micro-costing study. Genetics in Medicine. 26(4). 101058–101058. 7 indexed citations
5.
Marshall, Aren E., Xiaomin Dong, Aziz Mhanni, et al.. (2021). Compound heterozygous variants in SHQ1 are associated with a spectrum of neurological features, including early-onset dystonia. Human Molecular Genetics. 31(4). 614–624. 10 indexed citations
6.
Tan, Tiong Yang, Jiří Sedmík, Mark P. Fitzgerald, et al.. (2020). Bi-allelic ADARB1 Variants Associated with Microcephaly, Intellectual Disability, and Seizures. The American Journal of Human Genetics. 106(4). 467–483. 34 indexed citations
7.
Tan, Tiong Yang, Sebastian Lunke, Belinda Chong, et al.. (2019). A head-to-head evaluation of the diagnostic efficacy and costs of trio versus singleton exome sequencing analysis. European Journal of Human Genetics. 27(12). 1791–1799. 35 indexed citations
8.
Sadedin, Simon & Alicia Oshlack. (2019). Bazam: a rapid method for read extraction and realignment of high-throughput sequencing data. Genome biology. 20(1). 78–78. 14 indexed citations
9.
Tucker, Elena J., Sylvie Jaillard, Sonia Grover, et al.. (2019). TP63‐truncating variants cause isolated premature ovarian insufficiency. Human Mutation. 40(7). 886–892. 36 indexed citations
10.
Rius, Rocío, Nicole J. Van Bergen, Alison G. Compton, et al.. (2019). Clinical Spectrum and Functional Consequences Associated with Bi-Allelic Pathogenic PNPT1 Variants. Journal of Clinical Medicine. 8(11). 2020–2020. 20 indexed citations
11.
Sadedin, Simon, Justine A. Ellis, Seth L. Masters, & Alicia Oshlack. (2018). Ximmer: a system for improving accuracy and consistency of CNV calling from exome data. GigaScience. 7(10). 19 indexed citations
12.
Dashnow, Harriet, Monkol Lek, Belinda Phipson, et al.. (2018). STRetch: detecting and discovering pathogenic short tandem repeat expansions. Genome biology. 19(1). 121–121. 82 indexed citations
13.
Dashnow, Harriet, et al.. (2018). Oshlack/STRetch: STRetch v0.2.0. Zenodo (CERN European Organization for Nuclear Research). 1 indexed citations
14.
Stark, Zornitza, Harriet Dashnow, Sebastian Lunke, et al.. (2017). A clinically driven variant prioritization framework outperforms purely computational approaches for the diagnostic analysis of singleton WES data. European Journal of Human Genetics. 25(11). 1268–1272. 13 indexed citations
15.
Vasudevan, Pradeep, Kate Chandler, Deirdre E. Donnelly, et al.. (2017). De novo mutations in HNRNPU result in a neurodevelopmental syndrome. American Journal of Medical Genetics Part A. 173(11). 3003–3012. 30 indexed citations
16.
Sadedin, Simon, Harriet Dashnow, Paul A. James, et al.. (2015). Cpipe: a shared variant detection pipeline designed for diagnostic settings. Genome Medicine. 7(1). 54 indexed citations
17.
Sadedin, Simon, Bernard J. Pope, & Alicia Oshlack. (2012). Bpipe: a tool for running and managing bioinformatics pipelines. Bioinformatics. 28(11). 1525–1526. 93 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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