Amber Boys

952 total citations
10 papers, 281 citations indexed

About

Amber Boys is a scholar working on Genetics, Molecular Biology and Developmental and Educational Psychology. According to data from OpenAlex, Amber Boys has authored 10 papers receiving a total of 281 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Genetics, 4 papers in Molecular Biology and 3 papers in Developmental and Educational Psychology. Recurrent topics in Amber Boys's work include Genetics and Neurodevelopmental Disorders (5 papers), Genomic variations and chromosomal abnormalities (5 papers) and Language Development and Disorders (3 papers). Amber Boys is often cited by papers focused on Genetics and Neurodevelopmental Disorders (5 papers), Genomic variations and chromosomal abnormalities (5 papers) and Language Development and Disorders (3 papers). Amber Boys collaborates with scholars based in Australia, Netherlands and Italy. Amber Boys's co-authors include David J. Amor, Howard R. Slater, Ingrid E. Scheffer, Jacinta M. McMahon, Angela Morgan, Lorna Williams, Damien F. Hudson, Paul Kalitsis, Tao Zhang and Cristina Mei and has published in prestigious journals such as Brain, Neurology and PLoS Genetics.

In The Last Decade

Amber Boys

10 papers receiving 270 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Amber Boys Australia	7	154	143	41	35	35	10	281
Isaac B. Houston United States	9	115 0.7×	254 1.8×	35 0.9×	23 0.7×	9 0.3×	9	424
Adriana Lo‐Castro Italy	12	212 1.4×	166 1.2×	98 2.4×	19 0.5×	16 0.5×	18	390
Tracie C. Rosser United States	10	205 1.3×	260 1.8×	86 2.1×	31 0.9×	16 0.5×	13	444
Sureni V. Mullegama United States	15	308 2.0×	315 2.2×	65 1.6×	31 0.9×	8 0.2×	27	564
Matthew F. Hunter Australia	13	273 1.8×	225 1.6×	105 2.6×	49 1.4×	14 0.4×	35	478
Gérald Bussy France	8	80 0.5×	70 0.5×	31 0.8×	15 0.4×	25 0.7×	17	176
Elliot Sollis Netherlands	7	113 0.7×	147 1.0×	26 0.6×	16 0.5×	18 0.5×	9	240
Tiia Reimand Estonia	13	291 1.9×	229 1.6×	21 0.5×	97 2.8×	12 0.3×	41	488
Vera Beyer Germany	9	168 1.1×	181 1.3×	61 1.5×	27 0.8×	15 0.4×	15	318

Countries citing papers authored by Amber Boys

Since Specialization

Citations

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

Fields of papers citing papers by Amber Boys

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Amber Boys

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

All Works

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10 of 10 papers shown

Boys, Amber, et al.. (2020). The importance of phenotypic information to guide genetic testing. Pathology. 52. S27–S28. 1 indexed citations

Wallis, Mathew, Amber Boys, Elisa Tassano, & Martin B. Delatycki. (2019). Small interstitial 9p24.3 deletions principally involving KANK1 are likely benign copy number variants. European Journal of Medical Genetics. 63(1). 103618–103618. 3 indexed citations

Liégeois, Frédérique, Samantha J. Turner, Angela Mayes, et al.. (2019). Dorsal language stream anomalies in an inherited speech disorder. Brain. 142(4). 966–977. 18 indexed citations

Mei, Cristina, Evelina Fedorenko, David J. Amor, et al.. (2018). Deep phenotyping of speech and language skills in individuals with 16p11.2 deletion. European Journal of Human Genetics. 26(5). 676–686. 54 indexed citations

Brignell, Amanda, Miya St John, Amber Boys, et al.. (2018). Characterization of speech and language phenotype in children with NRXN1 deletions. American Journal of Medical Genetics Part B Neuropsychiatric Genetics. 177(8). 700–708. 11 indexed citations

Myers, Kenneth A., Steven Nasioulas, Amber Boys, et al.. (2017). ADGRV1 is implicated in myoclonic epilepsy. Epilepsia. 59(2). 381–388. 30 indexed citations

Hudson, Damien F., David J. Amor, Amber Boys, et al.. (2016). Loss of RMI2 Increases Genome Instability and Causes a Bloom-Like Syndrome. PLoS Genetics. 12(12). e1006483–e1006483. 56 indexed citations

Coman, David, Amber Boys, Duncan B. Sparrow, et al.. (2008). Spondylocostal dysostosis in a pregnancy complicated by confined placental mosaicism for tetrasomy 9p. American Journal of Medical Genetics Part A. 146A(15). 1972–1976. 3 indexed citations

Cardoso, Carlos, Amber Boys, Elena Parrini, et al.. (2008). Periventricular heterotopia, mental retardation, and epilepsy associated with 5q14.3-q15 deletion. Neurology. 72(9). 784–792. 87 indexed citations

10.

Ren, Hua, Wendy S. Francis, Amber Boys, et al.. (2005). BAC-based PCR fragment microarray: High-resolution detection of chromosomal deletion and duplication breakpoints. Human Mutation. 25(5). 476–482. 18 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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