HR Slater

688 total citations
8 papers, 401 citations indexed

About

HR Slater is a scholar working on Genetics, Molecular Biology and Cognitive Neuroscience. According to data from OpenAlex, HR Slater has authored 8 papers receiving a total of 401 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Genetics, 4 papers in Molecular Biology and 4 papers in Cognitive Neuroscience. Recurrent topics in HR Slater's work include Genetics and Neurodevelopmental Disorders (6 papers), Genomic variations and chromosomal abnormalities (5 papers) and Autism Spectrum Disorder Research (4 papers). HR Slater is often cited by papers focused on Genetics and Neurodevelopmental Disorders (6 papers), Genomic variations and chromosomal abnormalities (5 papers) and Autism Spectrum Disorder Research (4 papers). HR Slater collaborates with scholars based in Australia, Canada and Iran. HR Slater's co-authors include Vida Petrovic, Lucille Voullaire, K. H. Andy Choo, Danuta Z. Loesch, Richard Huggins, Trent Burgess, M.K. Horne, Wendyl D’Souza, Paul Kalitsis and Katya Kotschet and has published in prestigious journals such as BJOG An International Journal of Obstetrics & Gynaecology, Journal of Medical Genetics and Translational Psychiatry.

In The Last Decade

HR Slater

8 papers receiving 394 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
HR Slater Australia	8	252	243	206	70	69	8	401
Shashidhar Pai United States	8	278 1.1×	237 1.0×	35 0.2×	61 0.9×	25 0.4×	13	391
Sergio Espeso‐Gil United States	10	238 0.9×	127 0.5×	97 0.5×	18 0.3×	31 0.4×	14	374
Midori Sugawara Japan	11	157 0.6×	234 1.0×	45 0.2×	28 0.4×	31 0.4×	12	323
D F Smeets Netherlands	10	296 1.2×	391 1.6×	48 0.2×	47 0.7×	10 0.1×	11	478
Hayley Webber United States	4	364 1.4×	299 1.2×	64 0.3×	40 0.6×	40 0.6×	5	446
Damina Balmer Switzerland	11	261 1.0×	415 1.7×	69 0.3×	88 1.3×	6 0.1×	17	505
W. Ted Brown United States	9	202 0.8×	244 1.0×	22 0.1×	129 1.8×	17 0.2×	11	326
Debashish U. Menon United States	12	272 1.1×	201 0.8×	105 0.5×	71 1.0×	10 0.1×	15	375
Emilie Landais France	10	117 0.5×	177 0.7×	26 0.1×	40 0.6×	17 0.2×	15	253
Tessa Webb United Kingdom	12	186 0.7×	304 1.3×	19 0.1×	143 2.0×	28 0.4×	19	403

Countries citing papers authored by HR Slater

Since Specialization

Citations

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

Fields of papers citing papers by HR Slater

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of HR Slater

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

All Works

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8 of 8 papers shown

1.

Cornish, Kim, Scott Kolbe, Meaghan Clough, et al.. (2016). Brain structure and intragenic DNA methylation are correlated, and predict executive dysfunction in fragile X premutation females. Translational Psychiatry. 6(12). e984–e984. 12 indexed citations

2.

Ganesamoorthy, Devika, George McGillivray, F Norris, et al.. (2013). Meeting the challenge of interpreting high‐resolution single nucleotide polymorphism array data in prenatal diagnosis: does increased diagnostic power outweigh the dilemma of rare variants?. BJOG An International Journal of Obstetrics & Gynaecology. 120(5). 594–606. 29 indexed citations

3.

Loesch, Danuta Z., et al.. (2012). New evidence for, and challenges in, linking small CGG repeat expansion FMR1 alleles with Parkinson's disease. Clinical Genetics. 84(4). 382–385. 14 indexed citations

4.

Loesch, Danuta Z., HR Slater, Justin P. Rubio, et al.. (2009). Small CGG repeat expansion alleles of FMR1 gene are associated with parkinsonism. Clinical Genetics. 76(5). 471–476. 55 indexed citations

5.

Slater, HR, et al.. (2004). FMR1 alleles in Tasmania: a screening study of the special educational needs population. Clinical Genetics. 67(1). 38–46. 16 indexed citations

6.

Loesch, Danuta Z., Richard Huggins, Vida Petrovic, & HR Slater. (1995). Expansion of the CGG repeat in fragile X in the FMR1 gene depends on the sex of the offspring.. PubMed. 57(6). 1408–13. 24 indexed citations

7.

Voullaire, Lucille, HR Slater, Vida Petrovic, & K. H. Andy Choo. (1993). A functional marker centromere with no detectable alpha-satellite, satellite III, or CENP-B protein: activation of a latent centromere?. PubMed. 52(6). 1153–63. 233 indexed citations

8.

Slater, HR, et al.. (1988). Interstitial deletion (6) (q11----q15) in an infant with congenital abnormalities.. Journal of Medical Genetics. 25(3). 210–211. 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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