W. Ted Brown

6.2k citations
97 papers · 3.4k indexed · h-index 31

W. Ted Brown

96 papers receiving 3.2k citations

Peers

W. Ted Brown
Comparison fields: 5 of 110
  • Genetics 2.5k
  • Cognitive Neuroscience 1.6k
  • Developmental Neuroscience 133
  • Molecular Biology 1.5k
  • Cellular and Molecular Neuroscience 262
Replace Ruthie E. Amir with:
Ruthie E. Amir Israel
Elena Maestrini Italy
B. A. Oostra Netherlands
Martine Raynaud France
Eva W.C. Chow Canada
Michele Zappella Italy
David P. Roeltgen United States
Sylvain Briault France
M. W. Partington Canada
Dawna Armstrong United States
W. Ted Brown relative to Ruthie E. Amir Israel Ruthie E. Amir's profile →
Citations per field
00.5×1.5×
Ruthie E. Amir · 1×
Citations per year

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

The 25 scholars most cited alongside W. Ted Brown, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with W. Ted Brown Line = papers co-authored together W. Ted Brown links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20241
2 201399
3 201317
4 201016
5 2003276
6 19964
7 199648
8
Instability of the CGG repeat and expression of the FMR1 protein in a male fragile X patient with a lung tumor.
199549
9
Evidence that methylation of the FMR-I locus is responsible for variable phenotypic expression of the fragile X syndrome.
1993138
10 199314
11 19912
12 19913
13
The fragile X: progress toward solving the puzzle.
199010
14 198815
15 19885
16 19883
17 198813
18 19885
19 198696
20
Mitral Valve Prolapse in Blacks
198218

About W. Ted Brown

W. Ted Brown is a scholar working on Genetics, Cognitive Neuroscience and Molecular Biology, having authored 97 papers that have together received 3.4k indexed citations. Recurring topics across this work include Genetics and Neurodevelopmental Disorders (66 papers), Autism Spectrum Disorder Research (31 papers), Genomic variations and chromosomal abnormalities (24 papers), Congenital heart defects research (9 papers), Prenatal Screening and Diagnostics (9 papers), RNA modifications and cancer (9 papers), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (6 papers) and Ubiquitin and proteasome pathways (6 papers). The work is most often cited by research in Genetics (2.5k citations), Cognitive Neuroscience (1.6k citations) and Developmental Neuroscience (133 citations). W. Ted Brown has collaborated with scholars based in United States, China and Canada. Frequent 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.

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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