Anna L. Guyatt

3.7k total citations
19 papers, 225 citations indexed

About

Anna L. Guyatt is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Genetics. According to data from OpenAlex, Anna L. Guyatt has authored 19 papers receiving a total of 225 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 5 papers in Pulmonary and Respiratory Medicine and 5 papers in Genetics. Recurrent topics in Anna L. Guyatt's work include Chronic Obstructive Pulmonary Disease (COPD) Research (4 papers), Genetic Associations and Epidemiology (3 papers) and Birth, Development, and Health (3 papers). Anna L. Guyatt is often cited by papers focused on Chronic Obstructive Pulmonary Disease (COPD) Research (4 papers), Genetic Associations and Epidemiology (3 papers) and Birth, Development, and Health (3 papers). Anna L. Guyatt collaborates with scholars based in United Kingdom, United States and Belarus. Anna L. Guyatt's co-authors include Martin D. Tobin, Tom R. Gaunt, Dheeraj Rai, Debbie A. Lawlor, Santiago Rodrı́guez, Jon Heron, Jean Golding, Kimberley Burrows, Abigail Fraser and Susan M. Ring and has published in prestigious journals such as SHILAP Revista de lepidopterología, Bioinformatics and The American Journal of Human Genetics.

In The Last Decade

Anna L. Guyatt

19 papers receiving 224 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Anna L. Guyatt United Kingdom 10 77 64 28 22 22 19 225
Andy Heard United Kingdom 7 91 1.2× 18 0.3× 71 2.5× 17 0.8× 29 1.3× 12 285
Øyvind Helgeland Norway 9 66 0.9× 141 2.2× 17 0.6× 127 5.8× 13 0.6× 16 302
Thea G. A. Strieder Netherlands 10 43 0.6× 134 2.1× 25 0.9× 32 1.5× 12 0.5× 14 507
Zeyuan Wang United States 8 93 1.2× 30 0.5× 27 1.0× 36 1.6× 16 0.7× 18 177
Xiaobin Wang United States 7 36 0.5× 29 0.5× 67 2.4× 18 0.8× 14 0.6× 15 261
H. Pan United Kingdom 6 37 0.5× 55 0.9× 51 1.8× 87 4.0× 10 0.5× 14 249
Shih-Tzu Tsai Taiwan 8 47 0.6× 17 0.3× 62 2.2× 20 0.9× 10 0.5× 12 324
Chunxiao Liao China 10 61 0.8× 47 0.7× 36 1.3× 51 2.3× 7 0.3× 28 230
Elizabeth A. DeVilbiss United States 11 36 0.5× 37 0.6× 21 0.8× 132 6.0× 29 1.3× 31 445
Alicia Jones Australia 12 24 0.3× 12 0.2× 16 0.6× 24 1.1× 7 0.3× 28 233

Countries citing papers authored by Anna L. Guyatt

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Anna L. Guyatt

This figure shows the co-authorship network connecting the top 25 collaborators of Anna L. Guyatt. A scholar is included among the top collaborators of Anna L. Guyatt based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Anna L. Guyatt. Anna L. Guyatt is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

19 of 19 papers shown
1.
Medišauskaitė, Asta, et al.. (2024). Factors associated with attrition from the UK healthcare workforce since the COVID-19 pandemic: results from a nationwide survey study. The Lancet Regional Health - Europe. 47. 101133–101133. 3 indexed citations
2.
Guyatt, Anna L., Yutong Cai, Dany Doiron, Martin D. Tobin, & Anna Hansell. (2024). Air pollution, lung function and mortality: survival and mediation analyses in UK Biobank. ERJ Open Research. 10(2). 93–2024. 2 indexed citations
3.
Packer, Richard, William Hennah, Nick Shrine, et al.. (2023). DeepPheWAS: an R package for phenotype generation and association analysis for phenome-wide association studies. Bioinformatics. 39(4). 6 indexed citations
4.
Guyatt, Anna L., Catherine John, Alexander T. Williams, et al.. (2022). Mendelian randomisation of eosinophils and other cell types in relation to lung function and disease. Thorax. 78(5). 496–503. 13 indexed citations
5.
6.
Martin, Christopher, Katherine Woolf, Luke Bryant, et al.. (2022). Persistent hesitancy for SARS-CoV-2 vaccines among healthcare workers in the United Kingdom: analysis of longitudinal data from the UK-REACH cohort study. The Lancet Regional Health - Europe. 13. 100299–100299. 10 indexed citations
7.
8.
Gogoi, Mayuri, Amani Al‐Oraibi, Fatimah Wobi, et al.. (2022). Factors influencing the mental health of an ethnically diverse healthcare workforce during COVID-19: a qualitative study in the United Kingdom. European journal of psychotraumatology. 13(2). 2105577–2105577. 6 indexed citations
9.
10.
Korologou‐Linden, Roxanna, Robyn E. Wootton, Anna L. Guyatt, et al.. (2020). Smoking, DNA Methylation, and Lung Function: a Mendelian Randomization Analysis to Investigate Causal Pathways. The American Journal of Human Genetics. 106(3). 315–326. 34 indexed citations
11.
Magnus, Maria C., Anna L. Guyatt, Rebecca B. Lawn, et al.. (2020). Identifying potential causal effects of age at menarche: a Mendelian randomization phenome-wide association study. BMC Medicine. 18(1). 71–71. 29 indexed citations
12.
Guyatt, Anna L., Kimberley Burrows, Philip A. I. Guthrie, et al.. (2019). A genome-wide association study of mitochondrial DNA copy number in two population-based cohorts. Human Genomics. 13(1). 6–6. 24 indexed citations
13.
Guyatt, Anna L., Santiago Rodrı́guez, Tom R. Gaunt, Abigail Fraser, & Emma L. Anderson. (2018). Early life adiposity and telomere length across the life course: a systematic review and meta-analysis. SHILAP Revista de lepidopterología. 2. 118–118. 3 indexed citations
14.
Wain, Louise V., Nick Shrine, Anna L. Guyatt, et al.. (2018). A weighted genetic risk score based on 279 signals of association with lung function predicts Chronic Obstructive Pulmonary Disease. Genes and Environment. OA2188–OA2188. 2 indexed citations
15.
Guyatt, Anna L., Evie Stergiakouli, Joanna Martin, et al.. (2018). Association of copy number variation across the genome with neuropsychiatric traits in the general population. American Journal of Medical Genetics Part B Neuropsychiatric Genetics. 177(5). 489–502. 23 indexed citations
16.
Guyatt, Anna L., Santiago Rodrı́guez, Tom R. Gaunt, Abigail Fraser, & Emma L. Anderson. (2017). Early life adiposity and telomere length across the life course: a systematic review and meta-analysis. 2. 118–118. 2 indexed citations
17.
Guyatt, Anna L., Kimberley Burrows, Philip A. I. Guthrie, et al.. (2017). Cardiometabolic phenotypes and mitochondrial DNA copy number in two cohorts of UK women. Mitochondrion. 39. 9–19. 12 indexed citations
18.
Guyatt, Anna L., et al.. (2015). Digit ratio and autism spectrum disorders in the Avon Longitudinal Study of Parents and Children: a birth cohort study. BMJ Open. 5(8). e007433–e007433. 29 indexed citations
19.
Shah, Sonia, Anna L. Guyatt, Meena Kumari, et al.. (2013). Gene-centric association signals for haemostasis and thrombosis traits identified with the HumanCVD BeadChip. Thrombosis and Haemostasis. 110(11). 995–1003. 9 indexed citations

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.

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2026