W. Ted Brown
- Genetics top 0.5%
- Cognitive Neuroscience top 1%
- Molecular Biology top 5%
- Cardiology and Cardiovascular Medicine top 10%
- Cellular and Molecular Neuroscience top 10%
- Co-authors
- R. D. RudelliEdmund C. JenkinsK. E. WisniewskiVeronica J. HintonSarah L. NolinVicki SudhalterCarl DobkinAnne Glicksman
- Topics
- Genetics and Neurodevelopmental Disorders (66 papers)Autism Spectrum Disorder Research (31 papers)Genomic variations and chromosomal abnormalities (24 papers)
- Partner nations
- United StatesChinaCanada
In The Last Decade
W. Ted Brown
96 papers receiving 3.2k citations
Peers
Comparison fields: 5 of 110
- Genetics 2.5k
- Cognitive Neuroscience 1.6k
- Molecular Biology 1.5k
- Cardiology and Cardiovascular Medicine 292
- Cellular and Molecular Neuroscience 262
Countries citing papers authored by W. Ted Brown
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 99 | |
| 3 | 17 | |
| 4 | 16 | |
| 5 | 276 | |
| 6 | 4 | |
| 7 | 48 | |
| 8 | Instability of the CGG repeat and expression of the FMR1 protein in a male fragile X patient with a lung tumor. | 49 |
| 9 | Evidence that methylation of the FMR-I locus is responsible for variable phenotypic expression of the fragile X syndrome. | 138 |
| 10 | 14 | |
| 11 | 2 | |
| 12 | 3 | |
| 13 | The fragile X: progress toward solving the puzzle. | 10 |
| 14 | 15 | |
| 15 | 5 | |
| 16 | 3 | |
| 17 | 13 | |
| 18 | 5 | |
| 19 | 96 | |
| 20 | Mitral Valve Prolapse in Blacks | 18 |
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) and Genomic variations and chromosomal abnormalities (24 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. Their work appears in journals such as The Lancet, JAMA and Journal of the American College of Cardiology.
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.