Ben Lacey

58 papers receiving 3.2k citations

Hit Papers

Excess deaths associated with covid-19 pandemic in 2020: age and sex disaggregated time series analysis in 29 high income countries 2021 · 285 citations
2850+3+6Years since publication2505007501000

Peers

Ben Lacey
Comparison fields: 5 of 165
  • Modeling and Simulation 332
  • Health 248
  • Cardiology and Cardiovascular Medicine 671
  • Health, Toxicology and Mutagenesis 322
  • Immunology 331
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Xue Li China
Jonathan Pearson‐Stuttard United Kingdom
Xilin Yang China
Perviz Asaria United Kingdom
Kee Seng Chia Singapore
Yu Xu China
Yongning Zhou China
Vasilis Kontis United Kingdom
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Countries citing papers authored by Ben Lacey

Since Specialization
Citations

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

Fields of papers citing papers by Ben Lacey

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 61 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Epidemiology of Atherosclerosis and the Potential to Reduce the Global Burden of Atherothrombotic Disease
Hit paper breakdown →
20161078
2
Physical distancing interventions and incidence of coronavirus disease 2019: natural experiment in 149 countries
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2020391
3
The Burden of Hypertension and Associated Risk for Cardiovascular Mortality in China
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2016290
4
Excess deaths associated with covid-19 pandemic in 2020: age and sex disaggregated time series analysis in 29 high income countries
Hit paper breakdown →
2021285
5 2012155
6 2021154
7 2009106
8 202173
9 202270
10 202155
11 201748
12 202340
13 202039
14 202239
15 201935
16 201833
17 202227
18 202223
19 202322
20 202122

About Ben Lacey

Ben Lacey is a scholar working on Cardiology and Cardiovascular Medicine, Public Health, Environmental and Occupational Health, Physiology, Oncology and Infectious Diseases, having authored 61 papers that have together received 3.2k indexed citations. Recurring topics across this work include Obesity, Physical Activity, Diet (7 papers), COVID-19 Clinical Research Studies (7 papers), COVID-19 and healthcare impacts (7 papers), Genetic Associations and Epidemiology (6 papers), Cardiovascular Disease and Adiposity (6 papers), Lipoproteins and Cardiovascular Health (6 papers), Blood Pressure and Hypertension Studies (5 papers) and Health disparities and outcomes (5 papers). The work is most often cited by research in Modeling and Simulation (332 citations), Health (248 citations), Cardiology and Cardiovascular Medicine (671 citations), Health, Toxicology and Mutagenesis (322 citations) and Immunology (331 citations). Ben Lacey has collaborated with scholars based in United Kingdom, United States and Malaysia. Frequent co-authors include Sarah Lewington, Paul Sherliker, William G. Herrington, Jane Armitage, Nazrul Islam, Ichiro Kawachi, Martin White, Sharmin Shabnam, Gerardo Chowell and Kamlesh Khunti. Their work appears in journals such as International Journal of Epidemiology, BMJ, Journal of Epidemiology & Community Health, Journal of the American Heart Association and JAMA Network Open.

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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