P. Goonewardena
- Genetics top 5%
- Molecular Biology
- Cognitive Neuroscience top 10%
- Cellular and Molecular Neuroscience
- Cell Biology
- Co-authors
- W. Ted BrownJack TarletonU. PetterssonRobert G. PergolizziSusan ErsterNiklas DahlMary C. PhelanAllyn McConkie‐Rosell
- Topics
- Genetics and Neurodevelopmental Disorders (15 papers)Autism Spectrum Disorder Research (6 papers)Genomic variations and chromosomal abnormalities (5 papers)
- Journals
- The LancetNature GeneticsGenomics
- Partner nations
- SwedenUnited StatesNetherlands
In The Last Decade
P. Goonewardena
23 papers receiving 600 citations
Peers
Comparison fields: 5 of 49
- Genetics 491
- Molecular Biology 377
- Cognitive Neuroscience 238
- Cellular and Molecular Neuroscience 88
- Cell Biology 29
Countries citing papers authored by P. Goonewardena
This map shows the geographic impact of P. Goonewardena'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 P. Goonewardena with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites P. Goonewardena more than expected).
Fields of papers citing papers by P. Goonewardena
This network shows the impact of papers produced by P. Goonewardena. 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 P. Goonewardena. The network helps show where P. Goonewardena may publish in the future.
Co-authorship network of co-authors of P. Goonewardena
This figure shows the co-authorship network connecting the top 25 collaborators of P. Goonewardena. A scholar is included among the top collaborators of P. Goonewardena 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 P. Goonewardena. P. Goonewardena is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Evidence that methylation of the FMR-I locus is responsible for variable phenotypic expression of the fragile X syndrome. | 138 |
| 2 | 74 | |
| 3 | 6 | |
| 4 | 11 | |
| 5 | 152 | |
| 6 | 50 | |
| 7 | 6 | |
| 8 | 3 | |
| 9 | 7 | |
| 10 | 3 | |
| 11 | 6 | |
| 12 | 3 | |
| 13 | 16 | |
| 14 | 31 | |
| 15 | Linkage analysis of families with fragile-X mental retardation, using a novel RFLP marker (DXS 304). | 34 |
| 16 | 24 | |
| 17 | 17 | |
| 18 | 2 | |
| 19 | 16 | |
| 20 | 9 |
About P. Goonewardena
P. Goonewardena is a scholar working on Genetics, Cognitive Neuroscience and Molecular Biology, having authored 23 papers that have together received 613 indexed citations. Recurring topics across this work include Genetics and Neurodevelopmental Disorders (15 papers), Autism Spectrum Disorder Research (6 papers) and Genomic variations and chromosomal abnormalities (5 papers). The work is most often cited by research in Genetics (491 citations), Cognitive Neuroscience (238 citations) and Molecular Biology (377 citations). P. Goonewardena has collaborated with scholars based in Sweden, United States and Netherlands. Frequent co-authors include W. Ted Brown, Jack Tarleton, W. Ted Brown, U. Pettersson, Robert G. Pergolizzi, Susan Erster, Niklas Dahl, Mary C. Phelan, Allyn McConkie‐Rosell and Xin Ding. Their work appears in journals such as The Lancet, Nature Genetics and Genomics.
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.