Anna L. Guyatt
Impact in
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- Metabolism and Genetic Disorders
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- Genetic Associations and Epidemiology
- Genomic variations and chromosomal abnormalities
Papers in
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- Mitochondrial Function and Pathology 2
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- Adipose Tissue and Metabolism 2
- Telomeres, Telomerase, and Senescence 2
- Asthma and respiratory diseases 2
- Co-authors
- Tom R. Gaunt (7 shared papers)Martin D. Tobin (10 shared papers)Dheeraj Rai (2 shared papers)Santiago Rodrı́guez (5 shared papers)Kimberley Burrows (3 shared papers)Jean Golding (1 shared paper)Jon Heron (1 shared paper)Debbie A. Lawlor (4 shared papers)
- Journals
- BMJ Open (2 papers)The Lancet Regional Health - Europe (2 papers)Bioinformatics (1 paper)Thrombosis and Haemostasis (1 paper)Mitochondrion (1 paper)
- Partner nations
- United KingdomUnited StatesBelgium
In The Last Decade
Anna L. Guyatt
19 papers receiving 237 citations
Peers
Comparison fields: 5 of 66
- Clinical Biochemistry 15
- Genetics 46
- Reproductive Medicine 10
- Health 9
- Molecular Biology 72
Countries citing papers authored by Anna L. Guyatt
This map shows the geographic impact of Anna L. Guyatt'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 Anna L. Guyatt with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anna L. Guyatt more than expected).
Fields of papers citing papers by Anna L. Guyatt
This network shows the impact of papers produced by Anna L. Guyatt. 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 Anna L. Guyatt. The network helps show where Anna L. Guyatt may publish in the future.
Co-authors
The 25 scholars most cited alongside Anna L. Guyatt, 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 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 37 | |
| 2 | 2020 | 31 | |
| 3 | 2015 | 30 | |
| 4 | 2018 | 25 | |
| 5 | 2019 | 24 | |
| 6 | 2021 | 14 | |
| 7 | 2022 | 13 | |
| 8 | 2017 | 13 | |
| 9 | 2022 | 10 | |
| 10 | 2013 | 9 | |
| 11 | 2022 | 7 | |
| 12 | 2023 | 6 | |
| 13 | 2024 | 5 | |
| 14 | 2018 | 4 | |
| 15 | 2022 | 4 | |
| 16 | 2017 | 3 | |
| 17 | 2024 | 2 | |
| 18 | 2018 | 2 | |
| 19 | 2022 | 1 | |
| 20 | 2026 | 0 |
About Anna L. Guyatt
Anna L. Guyatt is a scholar working on Molecular Biology, Physiology, Genetics, Pulmonary and Respiratory Medicine and Health, Toxicology and Mutagenesis, having authored 21 papers that have together received 240 indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (3 papers), COVID-19 and Mental Health (2 papers), Adipose Tissue and Metabolism (2 papers), Telomeres, Telomerase, and Senescence (2 papers), Mitochondrial Function and Pathology (2 papers), Employment and Welfare Studies (2 papers), Health, Environment, Cognitive Aging (2 papers) and Asthma and respiratory diseases (2 papers). The work is most often cited by research in Clinical Biochemistry (15 citations), Genetics (46 citations), Reproductive Medicine (10 citations), Health (9 citations) and Molecular Biology (72 citations). Anna L. Guyatt has collaborated with scholars based in United Kingdom, United States and Belgium. Frequent co-authors include Tom R. Gaunt, Martin D. Tobin, Dheeraj Rai, Santiago Rodrı́guez, Kimberley Burrows, Jean Golding, Jon Heron, Debbie A. Lawlor, Abigail Fraser and Raimondo Ascione. Their work appears in journals such as BMJ Open, The Lancet Regional Health - Europe, Bioinformatics, Thrombosis and Haemostasis and Mitochondrion.
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.