Veronica J. Vieland
- Genetics top 1%
- Genetic Associations and Epidemiology 48
- Genetic Mapping and Diversity in Plants and Animals 33
- Genetics and Neurodevelopmental Disorders 21
- Genomic variations and chromosomal abnormalities 16
- Genetic and phenotypic traits in livestock 14
- Genomics and Rare Diseases 5
- Cognitive Neuroscience top 2%
- Autism Spectrum Disorder Research 16
- Statistics and Probability top 2%
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- Bioinformatics and Genomic Networks 11
- Co-authors
- Susan E. HodgeJian HuangMark W. LogueChristopher W. BartlettVal C. SheffieldDavid A. GreenbergRhinda GoedkenSusan E. Folstein
- Journals
- Proceedings of the National Academy of Sciences (1 paper)PLoS ONE (7 papers)American Journal of Psychiatry (1 paper)
- Partner nations
- United StatesCanadaUnited Kingdom
In The Last Decade
Veronica J. Vieland
108 papers receiving 2.9k citations
Peers
Comparison fields: 5 of 167
- Genetics 1.6k
- Cognitive Neuroscience 792
- Statistics and Probability 178
- Developmental and Educational Psychology 253
- History and Philosophy of Science 60
Countries citing papers authored by Veronica J. Vieland
This map shows the geographic impact of Veronica J. Vieland'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 Veronica J. Vieland with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Veronica J. Vieland more than expected).
Fields of papers citing papers by Veronica J. Vieland
This network shows the impact of papers produced by Veronica J. Vieland. 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 Veronica J. Vieland. The network helps show where Veronica J. Vieland may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Veronica J. Vieland, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 3 | |
| 2 | 2021 | 2 | |
| 3 | 2018 | 4 | |
| 4 | 2014 | 4 | |
| 5 | 2014 | 1 | |
| 6 | 2014 | 4 | |
| 7 | 2014 | 4 | |
| 8 | 2014 | 6 | |
| 9 | 2011 | 8 | |
| 10 | 2008 | 4 | |
| 11 | 2007 | 6 | |
| 12 | 2005 | 12 | |
| 13 | 2005 | 2 | |
| 14 | 2004 | 19 | |
| 15 | 2002 | 61 | |
| 16 | 2001 | 1 | |
| 17 | NONPARAMETRIC ESTIMATION OF MARGINAL DISTRIBUTIONS UNDER BIVARIATE TRUNCATION WITH APPLICATION TO TESTING FOR AGE-OF-ONSET ANTICIPATION | 2001 | 8 |
| 18 | 2000 | 60 | |
| 19 | 1999 | 24 | |
| 20 | Reply to Farrall. LOD wars: The affected-sib-pair paradigm strikes back! | 1997 | 2 |
About Veronica J. Vieland
Veronica J. Vieland is a scholar working on Genetics, Cognitive Neuroscience and Statistics and Probability, having authored 108 papers that have together received 3.0k indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (48 papers), Genetic Mapping and Diversity in Plants and Animals (33 papers), Genetics and Neurodevelopmental Disorders (21 papers), Autism Spectrum Disorder Research (16 papers), Genomic variations and chromosomal abnormalities (16 papers), Genetic and phenotypic traits in livestock (14 papers), Bioinformatics and Genomic Networks (11 papers) and Genomics and Rare Diseases (5 papers). The work is most often cited by research in Genetics (1.6k citations), Cognitive Neuroscience (792 citations) and Statistics and Probability (178 citations). Veronica J. Vieland has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Susan E. Hodge, Jian Huang, Mark W. Logue, Christopher W. Bartlett, Val C. Sheffield, David A. Greenberg, Rhinda Goedken, Susan E. Folstein, Thomas H. Wassink and Joseph Piven. Their work appears in journals such as Proceedings of the National Academy of Sciences, PLoS ONE and American Journal of Psychiatry.
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.