Jennifer Skaug
- Neurology top 5%
- Amyotrophic Lateral Sclerosis Research 2
- Genetics top 5%
- Genetics and Neurodevelopmental Disorders 2
- Neurogenetic and Muscular Disorders Research 2
- Genomic variations and chromosomal abnormalities 2
- Genetics top 5%
- Genetics and Neurodevelopmental Disorders 2
- Neurogenetic and Muscular Disorders Research 2
- Genomic variations and chromosomal abnormalities 2
- Cognitive Neuroscience top 5%
- Neurology top 5%
- Amyotrophic Lateral Sclerosis Research 2
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- RNA and protein synthesis mechanisms 2
- Protein Kinase Regulation and GTPase Signaling 1
- Chromatin Remodeling and Cancer 1
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- Cancer Genomics and Diagnostics 1
- Co-authors
- Stephen W. SchererPéter SzatmáriJames S. SutcliffeDalila PintoRainald MoessnerLonnie ZwaigenbaumJohn B. VincentChristian R. Marshall
- Journals
- Nature Genetics (2 papers)Biochemical and Biophysical Research Communications (2 papers)Molecular and Cellular Biology (1 paper)
- Partner nations
- CanadaUnited StatesUnited Kingdom
In The Last Decade
Jennifer Skaug
11 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 91
- Neurology 407
- Genetics 277
- Genetics 572
- Cognitive Neuroscience 319
- Neurology 135
Countries citing papers authored by Jennifer Skaug
This map shows the geographic impact of Jennifer Skaug'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 Jennifer Skaug with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jennifer Skaug more than expected).
Fields of papers citing papers by Jennifer Skaug
This network shows the impact of papers produced by Jennifer Skaug. 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 Jennifer Skaug. The network helps show where Jennifer Skaug may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jennifer Skaug, 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 | 2007 | 494 | |
| 2 | 2003 | 57 | |
| 3 | 2003 | 199 | |
| 4 | 2001 | 12 | |
| 5 | 2001 | 42 | |
| 6 | 2001 | 499 | |
| 7 | 2000 | 321 | |
| 8 | 2000 | 55 | |
| 9 | 2000 | 1 | |
| 10 | 1999 | 11 | |
| 11 | 1999 | 102 |
About Jennifer Skaug
Jennifer Skaug is a scholar working on Genetics, Clinical Biochemistry and Nephrology, having authored 11 papers that have together received 1.8k indexed citations. Recurring topics across this work include Genetics and Neurodevelopmental Disorders (2 papers), Neurogenetic and Muscular Disorders Research (2 papers), RNA and protein synthesis mechanisms (2 papers), Genomic variations and chromosomal abnormalities (2 papers), Amyotrophic Lateral Sclerosis Research (2 papers), Cancer Genomics and Diagnostics (1 paper), Protein Kinase Regulation and GTPase Signaling (1 paper) and Chromatin Remodeling and Cancer (1 paper). The work is most often cited by research in Neurology (407 citations), Genetics (277 citations) and Genetics (572 citations). Jennifer Skaug has collaborated with scholars based in Canada, United States and United Kingdom. Frequent co-authors include Stephen W. Scherer, Péter Szatmári, James S. Sutcliffe, Dalila Pinto, Rainald Moessner, Lonnie Zwaigenbaum, John B. Vincent, Christian R. Marshall, Wendy Roberts and Bridget A. Fernandez. Their work appears in journals such as Nature Genetics, Biochemical and Biophysical Research Communications, Molecular and Cellular Biology, The American Journal of Human Genetics and Neurosurgery.
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.