Amber Burt
Impact in
- Neurology top 5%
- Parkinson's Disease Mechanisms and Treatments
- Neurological diseases and metabolism
- Clinical Biochemistry top 5%
- Paraoxonase enzyme and polymorphisms
Papers in
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- Epigenetics and DNA Methylation 10
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- Birth, Development, and Health 10
- Co-authors
- Susan H. Blanton (7 shared papers)Gail P. Jarvik (20 shared papers)Jacqueline T. Hecht (6 shared papers)John B. Mulliken (5 shared papers)Samuel Stal (5 shared papers)Daniel Seung Kim (16 shared papers)Todd L. Edwards (2 shared papers)William K. Scott (2 shared papers)
- Journals
- Journal of Lipid Research (5 papers)Epigenetics (5 papers)Scientific Reports (3 papers)Annals of Human Genetics (3 papers)Pediatric Research (3 papers)
- Partner nations
- United StatesThailandCanada
In The Last Decade
Amber Burt
57 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 111
- Neurology 317
- Clinical Biochemistry 112
- Genetics 425
- Neurology 112
- Pediatrics, Perinatology and Child Health 175
Countries citing papers authored by Amber Burt
This map shows the geographic impact of Amber Burt'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 Amber Burt with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Amber Burt more than expected).
Fields of papers citing papers by Amber Burt
This network shows the impact of papers produced by Amber Burt. 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 Amber Burt. The network helps show where Amber Burt may publish in the future.
Co-authors
The 25 scholars most cited alongside Amber Burt, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 57 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 384 | |
| 2 | 2008 | 147 | |
| 3 | 2011 | 97 | |
| 4 | 2019 | 95 | |
| 5 | 2014 | 76 | |
| 6 | 2015 | 57 | |
| 7 | 2008 | 40 | |
| 8 | 2019 | 40 | |
| 9 | 2014 | 37 | |
| 10 | 2012 | 37 | |
| 11 | 2009 | 37 | |
| 12 | 2013 | 35 | |
| 13 | 2013 | 34 | |
| 14 | 2016 | 33 | |
| 15 | 2017 | 31 | |
| 16 | 2016 | 31 | |
| 17 | 2014 | 30 | |
| 18 | 2012 | 29 | |
| 19 | 2010 | 29 | |
| 20 | 2020 | 28 |
About Amber Burt
Amber Burt is a scholar working on Molecular Biology, Pediatrics, Perinatology and Child Health, Genetics, Obstetrics and Gynecology and Health, Toxicology and Mutagenesis, having authored 57 papers that have together received 1.7k indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (10 papers), Birth, Development, and Health (10 papers), Pregnancy and preeclampsia studies (7 papers), Paraoxonase enzyme and polymorphisms (6 papers), Cleft Lip and Palate Research (5 papers), Neonatal Respiratory Health Research (5 papers), Heavy Metal Exposure and Toxicity (4 papers) and Cynara cardunculus studies (3 papers). The work is most often cited by research in Neurology (317 citations), Clinical Biochemistry (112 citations), Genetics (425 citations), Neurology (112 citations) and Pediatrics, Perinatology and Child Health (175 citations). Amber Burt has collaborated with scholars based in United States, Thailand and Canada. Frequent co-authors include Susan H. Blanton, Gail P. Jarvik, Jacqueline T. Hecht, John B. Mulliken, Samuel Stal, Daniel Seung Kim, Todd L. Edwards, William K. Scott, Liyong Wang and Jeffery M. Vance. Their work appears in journals such as Journal of Lipid Research, Epigenetics, Scientific Reports, Annals of Human Genetics and Pediatric Research.
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.