Ruth Boxall

49 papers receiving 2.9k citations

Ruth Boxall's Hit Papers

Alcohol consumption and risks of more than 200 diseases in Chinese men 2023 · 120 citations
1200+2+5Years since publication100200300

Peers

Ruth Boxall
Comparison fields: 5 of 145
  • Genetics 451
  • Cardiology and Cardiovascular Medicine 270
  • Health, Toxicology and Mutagenesis 171
  • Biological Psychiatry 29
  • Physiology 281
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Citations per year

Countries citing papers authored by Ruth Boxall

Since Specialization
Citations

This map shows the geographic impact of Ruth Boxall'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 Ruth Boxall with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ruth Boxall more than expected).

Fields of papers citing papers by Ruth Boxall

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ruth Boxall. 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 Ruth Boxall. The network helps show where Ruth Boxall may publish in the future.

Co-authors

The 25 scholars most cited alongside Ruth Boxall, 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 Ruth Boxall Line = papers co-authored together Ruth Boxall links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 52 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Lipids, Lipoproteins, and Metabolites and Risk of Myocardial Infarction and Stroke
Hit paper breakdown →
2018381
2
New genetic signals for lung function highlight pathways and chronic obstructive pulmonary disease associations across multiple ancestries
Hit paper breakdown →
2019346
3 2015303
4
Mortality and recurrent vascular events after first incident stroke: a 9-year community-based study of 0·5 million Chinese adults
Hit paper breakdown →
2020234
5 2017196
6 2018137
7 2021130
8 2022123
9
Alcohol consumption and risks of more than 200 diseases in Chinese men
Hit paper breakdown →
2023120
10 2020107
11 202090
12 201878
13 201871
14 201765
15 201464
16 201952
17 202343
18 201539
19 202236
20 202236

About Ruth Boxall

Ruth Boxall is a scholar working on Cardiology and Cardiovascular Medicine, Genetics, Health, Toxicology and Mutagenesis, Epidemiology and Endocrinology, Diabetes and Metabolism, having authored 52 papers that have together received 3.0k indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (7 papers), Lipoproteins and Cardiovascular Health (4 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (3 papers), Acute Ischemic Stroke Management (3 papers), Air Quality and Health Impacts (3 papers), Cardiovascular Function and Risk Factors (2 papers), Nutritional Studies and Diet (2 papers) and Metabolomics and Mass Spectrometry Studies (2 papers). The work is most often cited by research in Genetics (451 citations), Cardiology and Cardiovascular Medicine (270 citations), Health, Toxicology and Mutagenesis (171 citations), Biological Psychiatry (29 citations) and Physiology (281 citations). Ruth Boxall has collaborated with scholars based in United Kingdom, China and United States. Frequent co-authors include Robin G. Walters, Michael Vaclav Holmes, Iona Y. Millwood, Liming Li, Zhengming Chen, Richard Peto, Ruying Hu, Robert J. Clarke, Zheng Bian and Rory Collins. Their work appears in journals such as BMC Medicine, Journal of the American College of Cardiology, The Lancet Global Health, International Journal of Epidemiology and The Lancet Regional Health - Western Pacific.

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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