Anna L. Guyatt

3.9k citations
47 papers · 1.9k · 2 hit papers · h-index 20

Impact in

  • Health top 5%
    • Vaccine Coverage and Hesitancy
    • SARS-CoV-2 and COVID-19 Research
    • COVID-19 Clinical Research Studies

Papers in

Anna L. Guyatt

45 papers receiving 1.9k citations

Anna L. Guyatt's Hit Papers

Whole-genome sequencing reveals host factors underlying critical COVID-19 2022 · 228 citations
2280+2+4Years since publication100200300

Peers

Anna L. Guyatt
Comparison fields: 5 of 117
  • Health 138
  • Infectious Diseases 272
  • Pulmonary and Respiratory Medicine 427
  • Genetics 364
  • Modeling and Simulation 50
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Citations per year

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-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.

Border = papers with Anna L. Guyatt Line = papers co-authored together Anna L. Guyatt links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 47 papers — load more, or switch the sort, to bring in the rest.

#Work
1
New genetic signals for lung function highlight pathways and chronic obstructive pulmonary disease associations across multiple ancestries
Hit paper breakdown →
2019346
2 2019249
3
Whole-genome sequencing reveals host factors underlying critical COVID-19
Hit paper breakdown →
2022228
4 2015144
5 2021116
6 2022107
7 2023100
8 202090
9 202149
10 202239
11 202039
12 202236
13 202035
14 202132
15 201830
16 201530
17 202229
18 201928
19 202227
20 202124

About Anna L. Guyatt

Anna L. Guyatt is a scholar working on Genetics, Emergency Medical Services, Health, Physiology and Health, Toxicology and Mutagenesis, having authored 47 papers that have together received 1.9k indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (6 papers), Asthma and respiratory diseases (5 papers), Employment and Welfare Studies (4 papers), Chronic Obstructive Pulmonary Disease (COPD) Research (4 papers), SARS-CoV-2 and COVID-19 Research (3 papers), Mitochondrial Function and Pathology (3 papers), Genomic variations and chromosomal abnormalities (3 papers) and Vaccine Coverage and Hesitancy (3 papers). The work is most often cited by research in Health (138 citations), Infectious Diseases (272 citations), Pulmonary and Respiratory Medicine (427 citations), Genetics (364 citations) and Modeling and Simulation (50 citations). Anna L. Guyatt has collaborated with scholars based in United Kingdom, United States and Canada. Frequent co-authors include Martin D. Tobin, Tom R. Gaunt, Dheeraj Rai, Santiago Rodrı́guez, Debbie A. Lawlor, Kimberley Burrows, Jean Golding, Jon Heron, Philip A. I. Guthrie and Raimondo Ascione. Their work appears in journals such as Wellcome Open Research, The Lancet Regional Health - Europe, BMC Medicine, Nature Genetics and BMC Health Services 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.

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