Ben Lacey

61 papers receiving 3.3k citations

Ben Lacey's Hit Papers

Excess deaths associated with covid-19 pandemic in 2020: age and sex disaggregated time series analysis in 29 high income countries 2021 · 288 citations
2880+3+6Years since publication2505007501000

Peers

Ben Lacey
Comparison fields: 5 of 164
  • Modeling and Simulation 259
  • Cardiology and Cardiovascular Medicine 432
  • Health 140
  • Health, Toxicology and Mutagenesis 218
  • Immunology 280
Replace Li Zhu with:
Li Zhu China
Jonathan Pearson‐Stuttard United Kingdom
Yongning Zhou China
Tom Palmer United Kingdom
Zhaofeng Chen China
Yu Xu China
Xiansheng Liu China
Perviz Asaria United Kingdom
Chen Mao China
Jin-Ling Tang China
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Citations per field
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Citations per year

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 65 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 →
20161113
2 2020398
3
The Burden of Hypertension and Associated Risk for Cardiovascular Mortality in China
Hit paper breakdown →
2016295
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 →
2021288
5 2012157
6 2021156
7 2009105
8 202282
9 202174
10 202162
11 201748
12 202044
13 202343
14 202242
15 201935
16 201834
17 202230
18 202425
19 202124
20 202223

About Ben Lacey

Ben Lacey is a scholar working on Cardiology and Cardiovascular Medicine, Oncology, Physiology, Genetics and Infectious Diseases, having authored 65 papers that have together received 3.4k indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (7 papers), Blood Pressure and Hypertension Studies (5 papers), COVID-19 Clinical Research Studies (5 papers), Lipoproteins and Cardiovascular Health (5 papers), Smoking Behavior and Cessation (4 papers), COVID-19 and healthcare impacts (4 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (3 papers) and Cardiovascular Health and Disease Prevention (3 papers). The work is most often cited by research in Modeling and Simulation (259 citations), Cardiology and Cardiovascular Medicine (432 citations), Health (140 citations), Health, Toxicology and Mutagenesis (218 citations) and Immunology (280 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, Journal of Epidemiology & Community Health, BMJ, Journal of the American Heart Association and European Heart Journal.

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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