Steven A. Skinner

6.3k total citations
59 papers, 2.7k citations indexed

About

Steven A. Skinner is a scholar working on Genetics, Cognitive Neuroscience and Molecular Biology. According to data from OpenAlex, Steven A. Skinner has authored 59 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 53 papers in Genetics, 31 papers in Cognitive Neuroscience and 19 papers in Molecular Biology. Recurrent topics in Steven A. Skinner's work include Genetics and Neurodevelopmental Disorders (42 papers), Autism Spectrum Disorder Research (31 papers) and Family and Disability Support Research (17 papers). Steven A. Skinner is often cited by papers focused on Genetics and Neurodevelopmental Disorders (42 papers), Autism Spectrum Disorder Research (31 papers) and Family and Disability Support Research (17 papers). Steven A. Skinner collaborates with scholars based in United States, Denmark and Canada. Steven A. Skinner's co-authors include Daniel G. Glaze, Alan K. Percy, Jeffrey L. Neul, Jane B. Lane, Kathleen J. Motil, Fran Annese, Judy O. Barrish, Suzanne Geerts, Lauren McNair and Daniel Tarquinio and has published in prestigious journals such as SHILAP Revista de lepidopterología, Nature Immunology and PLoS ONE.

In The Last Decade

Steven A. Skinner

59 papers receiving 2.7k citations

Peers

Steven A. Skinner

GENET

PMH

Eli Hatchwell United States

Talaignair N. Venkatraman United States

Christopher D. Lascola United States

N. Carolyn Schanen United States

Mónica Bayés Spain

Genila Bibat United States

Jane B. Lane United States

Ruthie E. Amir Israel

Anne Philippe France

Jeannie Visootsak United States

Eli Hatchwell United States

Steven A. Skinner

984 ×0.4

GENET

534 ×0.4

1.2k ×1.2

128 ×0.2

172 ×0.8

PMH

Citations per year, relative to Steven A. Skinner Steven A. Skinner (= 1×) peers Eli Hatchwell

Countries citing papers authored by Steven A. Skinner

Since Specialization

Citations

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

Fields of papers citing papers by Steven A. Skinner

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Steven A. Skinner. 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 Steven A. Skinner. The network helps show where Steven A. Skinner may publish in the future.

Co-authorship network of co-authors of Steven A. Skinner

This figure shows the co-authorship network connecting the top 25 collaborators of Steven A. Skinner. A scholar is included among the top collaborators of Steven A. Skinner 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 Steven A. Skinner. Steven A. Skinner 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

Broeckel, Ulrich, M. Anwar Iqbal, Brynn Levy, et al.. (2024). Detection of Constitutional Structural Variants by Optical Genome Mapping. Journal of Molecular Diagnostics. 26(3). 213–226. 8 indexed citations

Sadhwani, Anjali, Anne Wheeler, Sarika U. Peters, et al.. (2024). Developmental milestones and daily living skills in individuals with Angelman syndrome. Journal of Neurodevelopmental Disorders. 16(1). 32–32. 1 indexed citations

Pérez‐Cano, Laura, Luigi Boccuto, Francesco Sirci, et al.. (2024). Characterization of a Clinically and Biologically Defined Subgroup of Patients with Autism Spectrum Disorder and Identification of a Tailored Combination Treatment. Biomedicines. 12(5). 991–991. 2 indexed citations

Neul, Jeffrey L., Tim A. Benke, Eric D. Marsh, et al.. (2023). Distribution of hand function by age in individuals with Rett syndrome. SHILAP Revista de lepidopterología. 1(3). 228–238. 5 indexed citations

Neul, Jeffrey L., Tim A. Benke, Eric D. Marsh, et al.. (2023). Top caregiver concerns in Rett syndrome and related disorders: data from the US natural history study. Journal of Neurodevelopmental Disorders. 15(1). 33–33. 36 indexed citations

Harrington, Adam J., Stefano Berto, Ahlem Assali, et al.. (2020). MEF2C Hypofunction in Neuronal and Neuroimmune Populations Produces MEF2C Haploinsufficiency Syndrome–like Behaviors in Mice. Biological Psychiatry. 88(6). 488–499. 36 indexed citations

Neul, Jeffrey L., Steven A. Skinner, Fran Annese, et al.. (2020). Metabolic Signatures Differentiate Rett Syndrome From Unaffected Siblings. Frontiers in Integrative Neuroscience. 14. 7–7. 27 indexed citations

Motil, Kathleen J., Jane B. Lane, Judy O. Barrish, et al.. (2019). Biliary Tract Disease in Girls and Young Women With Rett Syndrome. Journal of Pediatric Gastroenterology and Nutrition. 68(6). 799–805. 14 indexed citations

Louie, Raymond J., Michael J. Friez, Jaime L. Frías, et al.. (2018). Two unrelated patients with autosomal dominant omodysplasia and FRIZZLED2 mutations. Clinical Case Reports. 6(11). 2252–2255. 7 indexed citations

10.

Percy, Alan K., et al.. (2018). When Rett syndrome is due to genes other than MECP2. PubMed. 3(1). 49–53. 22 indexed citations

11.

Glaze, Daniel G., Jane B. Lane, Steven A. Skinner, et al.. (2018). Behavioral profiles in Rett syndrome: Data from the natural history study. Brain and Development. 41(2). 123–134. 42 indexed citations

12.

Tarquinio, Daniel, Wei Hou, Jeffrey L. Neul, et al.. (2018). The course of awake breathing disturbances across the lifespan in Rett syndrome. Brain and Development. 40(7). 515–529. 68 indexed citations

13.

Neul, Jeffrey L., Tim A. Benke, Eric D. Marsh, et al.. (2018). The array of clinical phenotypes of males with mutations in Methyl‐CpG binding protein 2. American Journal of Medical Genetics Part B Neuropsychiatric Genetics. 180(1). 55–67. 66 indexed citations

14.

Neul, Jeffrey L., Jane B. Lane, Hye Seung Lee, et al.. (2014). Developmental delay in Rett syndrome: data from the natural history study. Journal of Neurodevelopmental Disorders. 6(1). 20–20. 120 indexed citations

15.

Shinawi, Marwan, Trilochan Sahoo, Bruno Maranda, et al.. (2011). 11p14.1 microdeletions associated with ADHD, autism, developmental delay, and obesity. American Journal of Medical Genetics Part A. 155(6). 1272–1280. 71 indexed citations

16.

Gentile, Jennifer, Wen‐Hann Tan, Lucia T. Horowitz, et al.. (2010). A Neurodevelopmental Survey of Angelman Syndrome With Genotype-Phenotype Correlations. Journal of Developmental & Behavioral Pediatrics. 31(7). 592–601. 117 indexed citations

17.

Percy, Alan K., Hye‐Seung Lee, Jeffrey L. Neul, et al.. (2010). Profiling Scoliosis in Rett Syndrome. Pediatric Research. 67(4). 435–439. 52 indexed citations

18.

Schroer, Richard J., Mary C. Phelan, Ron C. Michaelis, et al.. (1998). Autism and maternally derived aberrations of chromosome 15q. American Journal of Medical Genetics. 76(4). 327–336. 284 indexed citations

19.

Michaelis, Ron C., Steven A. Skinner, Richard J. Simensen, et al.. (1995). Deletion involving D15S113 in a mother and son without Angelman syndrome: Refinement of the Angelman syndrome critical deletion region. American Journal of Medical Genetics. 55(1). 120–126. 9 indexed citations

20.

Phelan, Mary C., et al.. (1995). Prenatal diagnosis of mosaic 4p – in a fetus with trisomy 21. Prenatal Diagnosis. 15(3). 274–277. 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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