W. Ted Brown

6.2k total citations
97 papers, 3.4k citations indexed

About

W. Ted Brown is a scholar working on Genetics, Molecular Biology and Cognitive Neuroscience. According to data from OpenAlex, W. Ted Brown has authored 97 papers receiving a total of 3.4k indexed citations (citations by other indexed papers that have themselves been cited), including 73 papers in Genetics, 37 papers in Molecular Biology and 31 papers in Cognitive Neuroscience. Recurrent topics in W. Ted Brown's work include Genetics and Neurodevelopmental Disorders (66 papers), Autism Spectrum Disorder Research (31 papers) and Genomic variations and chromosomal abnormalities (24 papers). W. Ted Brown is often cited by papers focused on Genetics and Neurodevelopmental Disorders (66 papers), Autism Spectrum Disorder Research (31 papers) and Genomic variations and chromosomal abnormalities (24 papers). W. Ted Brown collaborates with scholars based in United States, China and Canada. W. Ted Brown's co-authors include R. D. Rudelli, Edmund C. Jenkins, K. E. Wisniewski, Veronica J. Hinton, Sarah L. Nolin, Vicki Sudhalter, Carl Dobkin, Anne Glicksman, Krystyna E. Wisniewski and Peter M. Vietze and has published in prestigious journals such as The Lancet, JAMA and Journal of the American College of Cardiology.

In The Last Decade

W. Ted Brown

96 papers receiving 3.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
W. Ted Brown United States 31 2.5k 1.6k 1.5k 292 262 97 3.4k
B. A. Oostra Netherlands 35 2.1k 0.8× 999 0.6× 1.9k 1.2× 163 0.6× 422 1.6× 72 3.7k
Ruthie E. Amir Israel 14 4.1k 1.6× 2.3k 1.4× 3.0k 2.0× 174 0.6× 260 1.0× 21 5.1k
Elena Maestrini Italy 29 1.5k 0.6× 792 0.5× 2.5k 1.7× 322 1.1× 439 1.7× 49 4.2k
Martine Raynaud France 25 2.1k 0.8× 757 0.5× 1.9k 1.2× 92 0.3× 309 1.2× 57 3.0k
Sylvain Briault France 23 1.6k 0.6× 610 0.4× 1.8k 1.2× 95 0.3× 426 1.6× 64 3.1k
David P. Roeltgen United States 35 1.3k 0.5× 1.1k 0.7× 777 0.5× 87 0.3× 262 1.0× 62 2.9k
Naoko Narita Japan 24 768 0.3× 521 0.3× 1.4k 0.9× 126 0.4× 328 1.3× 50 2.6k
Dawna Armstrong United States 20 2.1k 0.8× 793 0.5× 3.0k 2.0× 58 0.2× 863 3.3× 33 4.2k
Michele Zappella Italy 30 3.5k 1.4× 2.5k 1.6× 1.5k 1.0× 31 0.1× 147 0.6× 96 4.2k
M. W. Partington Canada 33 2.0k 0.8× 506 0.3× 1.8k 1.2× 46 0.2× 309 1.2× 110 3.5k

Countries citing papers authored by W. Ted Brown

Since Specialization
Citations

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

Fields of papers citing papers by W. Ted Brown

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by W. Ted Brown. 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 W. Ted Brown. The network helps show where W. Ted Brown may publish in the future.

Co-authorship network of co-authors of W. Ted Brown

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

All Works

20 of 20 papers shown
1.
Prokop, Jeremy W., et al.. (2024). Expansion of the phenotypic spectrum of KARS1‐related disorders to include arthrogryposis multiplex congenita and summary of experiences with lysine supplementation. American Journal of Medical Genetics Part A. 194(11). e63811–e63811. 1 indexed citations
2.
Nolin, Sarah L., Sachin Sah, Anne Glicksman, et al.. (2013). Fragile X AGG analysis provides new risk predictions for 45–69 repeat alleles. American Journal of Medical Genetics Part A. 161(4). 771–778. 99 indexed citations
4.
Ju, Weina, Ming Yan, Junhua Zou, et al.. (2010). Identification of differentially expressed transcripts and translatants targeted by knock-down of endogenous PCBP1. Biochimica et Biophysica Acta (BBA) - Proteins and Proteomics. 1804(10). 1954–1964. 16 indexed citations
5.
Nolin, Sarah L., W. Ted Brown, Anne Glicksman, et al.. (2003). Expansion of the Fragile X CGG Repeat in Females with Premutation or Intermediate Alleles. The American Journal of Human Genetics. 72(2). 454–464. 276 indexed citations
6.
Giampietro, Philip F., Bruce R. Haas, Evelyn G. Lipper, et al.. (1996). Fragile X syndrome in two siblings with major congenital malformations. American Journal of Medical Genetics. 63(2). 396–400. 4 indexed citations
7.
Dobkin, Carl, Sarah L. Nolin, Ira S. Cohen, et al.. (1996). Tissue differences in fragile X mosaics: Mosaicism in blood cells may differ greatly from skin. American Journal of Medical Genetics. 64(2). 296–301. 48 indexed citations
8.
Graaff, Esther de, Rob Willemsen, Nanbert Zhong, et al.. (1995). Instability of the CGG repeat and expression of the FMR1 protein in a male fragile X patient with a lung tumor.. PubMed. 57(3). 609–18. 49 indexed citations
9.
McConkie‐Rosell, Allyn, Ave M. Lachiewicz, Gail A. Spiridigliozzi, et al.. (1993). Evidence that methylation of the FMR-I locus is responsible for variable phenotypic expression of the fragile X syndrome.. PubMed. 53(4). 800–9. 138 indexed citations
10.
Reiss, Allan L., et al.. (1993). Bipolar spectrum disorder and fragile X syndrome: A family study. Biological Psychiatry. 33(3). 213–216. 14 indexed citations
11.
Brooks, Susan Sklower, et al.. (1991). Cytogenetically negative, linkage positive “fragile X” syndrome. American Journal of Medical Genetics. 38(2-3). 370–373. 2 indexed citations
12.
Brown, W. Ted, et al.. (1991). Linkage in fragile X families of three distal flanking markers: ST14, DX13, and F8. American Journal of Medical Genetics. 38(2-3). 343–346. 3 indexed citations
13.
Brown, W. Ted. (1990). The fragile X: progress toward solving the puzzle.. Europe PMC (PubMed Central). 10 indexed citations
14.
Jenkins, Edmund C., W. Ted Brown, Michael S. Krawczun, et al.. (1988). Recent experience in prenatal fra(X) detection. American Journal of Medical Genetics. 30(1-2). 329–336. 15 indexed citations
15.
Schwartz, Charles E., Mary C. Phelan, P. N. Howard‐Peebles, et al.. (1988). Fragile X syndrome: Linkage analysis in black and white populations. American Journal of Medical Genetics. 30(1-2). 531–542. 5 indexed citations
16.
Howard‐Peebles, Patricia N. & W. Ted Brown. (1988). The fragile X syndrome: Variability of expression in carrier females. American Journal of Medical Genetics. 30(1-2). 227–230. 3 indexed citations
17.
Watson, Michael S., W. Roy Breg, David L. Pauls, et al.. (1988). Aneuploidy and the fragile X syndrome. American Journal of Medical Genetics. 30(1-2). 115–121. 13 indexed citations
18.
Brown, W. Ted, et al.. (1988). Fragile X syndrome: Neuropathology center. American Journal of Medical Genetics. 30(1-2). 201–205. 5 indexed citations
19.
Devereux, Richard B., Randi Kramer-Fox, W. Ted Brown, et al.. (1986). Relation between clinical features of the mitral prolapse syndrome and echocardiographically documented mitral valve prolapse. Journal of the American College of Cardiology. 8(4). 763–772. 96 indexed citations
20.
Savage, Daniel D., Richard B. Devereux, Richard P. Donahue, et al.. (1982). Mitral Valve Prolapse in Blacks. PubMed Central. 74(9). 895. 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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