Amy Barrett
Impact in
- Cancer Research top 5%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Physiology top 10%
- Pain Mechanisms and Treatments
Papers in
- Surgery 19
- Pancreatic function and diabetes 15
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- Metabolism, Diabetes, and Cancer 5
- Epigenetics and DNA Methylation 4
- Co-authors
- Mark I. McCarthy (15 shared papers)Anna L. Gloyn (17 shared papers)Cecilia M. Lindgren (4 shared papers)Ari Gnanasakthy (4 shared papers)Jennifer M. Taylor (3 shared papers)Helen Lockstone (3 shared papers)Amy S. Chappell (1 shared paper)Robert H. Dworkin (1 shared paper)
- Journals
- Value in Health (11 papers)PLoS ONE (4 papers)Analytical Chemistry (3 papers)Med (2 papers)Diabetes (2 papers)
- Partner nations
- United StatesUnited KingdomGermany
In The Last Decade
Amy Barrett
67 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 140
- Cancer Research 300
- Physiology 279
- Genetics 270
- Molecular Biology 657
- Endocrinology, Diabetes and Metabolism 129
Countries citing papers authored by Amy Barrett
This map shows the geographic impact of Amy Barrett'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 Amy Barrett with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Amy Barrett more than expected).
Fields of papers citing papers by Amy Barrett
This network shows the impact of papers produced by Amy Barrett. 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 Amy Barrett. The network helps show where Amy Barrett may publish in the future.
Co-authors
The 25 scholars most cited alongside Amy Barrett, 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 72 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 238 | |
| 2 | 2007 | 180 | |
| 3 | 2009 | 108 | |
| 4 | 2015 | 107 | |
| 5 | 2014 | 91 | |
| 6 | 2019 | 72 | |
| 7 | 2010 | 67 | |
| 8 | 2018 | 65 | |
| 9 | 2019 | 64 | |
| 10 | 2016 | 60 | |
| 11 | 2015 | 59 | |
| 12 | 2012 | 59 | |
| 13 | 2012 | 58 | |
| 14 | 2008 | 55 | |
| 15 | 2008 | 52 | |
| 16 | 2018 | 48 | |
| 17 | 2014 | 43 | |
| 18 | 2017 | 37 | |
| 19 | 2015 | 36 | |
| 20 | 1999 | 36 |
About Amy Barrett
Amy Barrett is a scholar working on Surgery, Molecular Biology, Genetics, Cardiology and Cardiovascular Medicine and Economics and Econometrics, having authored 72 papers that have together received 2.0k indexed citations. Recurring topics across this work include Pancreatic function and diabetes (15 papers), Genetics and Neurodevelopmental Disorders (6 papers), Metabolism, Diabetes, and Cancer (5 papers), Pharmaceutical Economics and Policy (5 papers), Genetic Associations and Epidemiology (5 papers), Diabetes and associated disorders (4 papers), Epigenetics and DNA Methylation (4 papers) and Antiplatelet Therapy and Cardiovascular Diseases (4 papers). The work is most often cited by research in Cancer Research (300 citations), Physiology (279 citations), Genetics (270 citations), Molecular Biology (657 citations) and Endocrinology, Diabetes and Metabolism (129 citations). Amy Barrett has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Mark I. McCarthy, Anna L. Gloyn, Cecilia M. Lindgren, Ari Gnanasakthy, Jennifer M. Taylor, Helen Lockstone, Amy S. Chappell, Robert H. Dworkin, Trong Kim Le and R.L. Robinson. Their work appears in journals such as Value in Health, PLoS ONE, Analytical Chemistry, Med and Diabetes.
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.