Sarah E. Noon

1.1k total citations
15 papers, 373 citations indexed

About

Sarah E. Noon is a scholar working on Genetics, Molecular Biology and Sensory Systems. According to data from OpenAlex, Sarah E. Noon has authored 15 papers receiving a total of 373 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Genetics, 8 papers in Molecular Biology and 3 papers in Sensory Systems. Recurrent topics in Sarah E. Noon's work include Genetic Syndromes and Imprinting (4 papers), Genomic variations and chromosomal abnormalities (4 papers) and Hearing, Cochlea, Tinnitus, Genetics (3 papers). Sarah E. Noon is often cited by papers focused on Genetic Syndromes and Imprinting (4 papers), Genomic variations and chromosomal abnormalities (4 papers) and Hearing, Cochlea, Tinnitus, Genetics (3 papers). Sarah E. Noon collaborates with scholars based in United States, Japan and United Kingdom. Sarah E. Noon's co-authors include Ian D. Krantz, Yi-Heng Hao, Margarita Sáenz, Robert C. Pedersen, Ankita Patel, Michael D. Fountain, Rocio Moran, Weimin Bi, Fan Xia and Christian P. Schaaf and has published in prestigious journals such as Molecular Cell, Clinical Cancer Research and The Journal of Infectious Diseases.

In The Last Decade

Sarah E. Noon

14 papers receiving 367 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sarah E. Noon United States 10 226 95 89 50 40 15 373
Sarah Williams United States 8 159 0.7× 51 0.5× 64 0.7× 15 0.3× 22 0.6× 10 349
Amal Hashem Saudi Arabia 9 236 1.0× 32 0.3× 138 1.6× 54 1.1× 19 0.5× 11 354
Yali Zhao China 10 197 0.9× 12 0.1× 130 1.5× 26 0.5× 28 0.7× 21 365
Thomas Parzefall Austria 10 93 0.4× 31 0.3× 20 0.2× 10 0.2× 12 0.3× 37 252
Craig B. Stevens United States 11 183 0.8× 36 0.4× 10 0.1× 59 1.2× 52 1.3× 15 358
Jost Schönberger Germany 7 351 1.6× 11 0.1× 39 0.4× 48 1.0× 11 0.3× 8 515
Ali Muhammad Waryah Pakistan 12 191 0.8× 13 0.1× 77 0.9× 38 0.8× 26 0.7× 39 412
Janice C. Palumbos United States 8 245 1.1× 13 0.1× 161 1.8× 23 0.5× 7 0.2× 13 391
Michelle Mack United States 5 190 0.8× 32 0.3× 125 1.4× 53 1.1× 98 2.5× 9 427
Dhanya Lakshmi Narayanan India 10 135 0.6× 15 0.2× 88 1.0× 19 0.4× 17 0.4× 42 261

Countries citing papers authored by Sarah E. Noon

Since Specialization
Citations

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

Fields of papers citing papers by Sarah E. Noon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sarah E. Noon. 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 Sarah E. Noon. The network helps show where Sarah E. Noon may publish in the future.

Co-authorship network of co-authors of Sarah E. Noon

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

All Works

15 of 15 papers shown
1.
Noon, Sarah E., et al.. (2020). A Study of Universal Severe Acute Respiratory Syndrome Coronavirus 2 RNA Testing Among Residents and Staff in a Large Group of Care Homes in South London. The Journal of Infectious Diseases. 223(3). 381–388. 12 indexed citations
2.
Keller‐Ramey, Jennifer, Amy Knight Johnson, Jennifer A. Lee, et al.. (2017). Molecular characterization of HDAC8 deletions in individuals with atypical Cornelia de Lange syndrome. Journal of Human Genetics. 63(3). 349–356. 10 indexed citations
3.
Noon, Sarah E., E Schwartz, Alisha Wilkens, et al.. (2016). Outcomes of evaluation and testing of 660 individuals with hearing loss in a pediatric genetics of hearing loss clinic. American Journal of Medical Genetics Part A. 170(10). 2523–2530. 36 indexed citations
4.
Shen, Jun, Heidi L. Rehm, Einar Hopp, et al.. (2016). CDH23 Related Hearing Loss. Otology & Neurotology. 37(10). 1583–1588. 12 indexed citations
5.
Conway, Laura, Matthew A. Deardorff, Ann Harrington, et al.. (2016). Benefits and limitations of a multidisciplinary approach to individualized management of Cornelia de Lange syndrome and related diagnoses. American Journal of Medical Genetics Part C Seminars in Medical Genetics. 172(2). 237–245. 4 indexed citations
6.
Conway, Laura, et al.. (2016). Attitudes about the use of internet support groups and the impact among parents of children with Cornelia de Lange syndrome. American Journal of Medical Genetics Part C Seminars in Medical Genetics. 172(2). 229–236. 8 indexed citations
7.
Kaur, Maninder, et al.. (2016). NIPBL expression levels in CdLS probands as a predictor of mutation type and phenotypic severity. American Journal of Medical Genetics Part C Seminars in Medical Genetics. 172(2). 163–170. 14 indexed citations
8.
Vergano, Samantha A. Schrier, et al.. (2016). Characterization of limb differences in children with Cornelia de Lange Syndrome. American Journal of Medical Genetics Part C Seminars in Medical Genetics. 172(2). 155–162. 17 indexed citations
9.
Noon, Sarah E., Matthew A. Deardorff, & Ian D. Krantz. (2016). Dr. Laird G. Jackson Festschrift. American Journal of Medical Genetics Part C Seminars in Medical Genetics. 172(2). 72–75.
10.
Krantz, Ian D., et al.. (2016). Interstitial deletion of 7q22.1q31.1 in a boy with structural brain abnormality, cardiac defect, developmental delay, and dysmorphic features. American Journal of Medical Genetics Part C Seminars in Medical Genetics. 172(2). 92–101. 2 indexed citations
11.
Zhao, Jianhua, Sarah E. Noon, Ian D. Krantz, & Yaning Wu. (2016). A de novo interstitial deletion of 7q31.2q31.31 identified in a girl with developmental delay and hearing loss. American Journal of Medical Genetics Part C Seminars in Medical Genetics. 172(2). 102–108. 9 indexed citations
12.
Hao, Yi-Heng, Michael D. Fountain, Klementina Fon Tacer, et al.. (2015). USP7 Acts as a Molecular Rheostat to Promote WASH-Dependent Endosomal Protein Recycling and Is Mutated in a Human Neurodevelopmental Disorder. Molecular Cell. 59(6). 956–969. 149 indexed citations
13.
Izumi, Kosuke, Katsunori Fujiki, Maninder Kaur, et al.. (2015). Elevation of insulin‐like growth factor binding protein‐2 level in Pallister–Killian syndrome: Implications for the postnatal growth retardation phenotype. American Journal of Medical Genetics Part A. 167(6). 1268–1274. 3 indexed citations
14.
Izumi, Kosuke, Sarah E. Noon, Alisha Wilkens, & Ian D. Krantz. (2014). NKX2.5 mutation identification on exome sequencing in a patient with heterotaxy. European Journal of Medical Genetics. 57(10). 558–561. 12 indexed citations
15.
Finegold, David N., Catherine J. Baty, Sarah E. Noon, et al.. (2012). Connexin 47 Mutations Increase Risk for Secondary Lymphedema Following Breast Cancer Treatment. Clinical Cancer Research. 18(8). 2382–2390. 85 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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