Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
Age-specific relevance of usual blood pressure to vascular mortality: a meta-analysis of individual data for one million adults in 61 prospective studies
20027.2k citationsSarah Lewington, Nawab Qizilbash et al.The Lancetprofile →
Body-mass index and cause-specific mortality in 900 000 adults: collaborative analyses of 57 prospective studies
20093.4k citationsGary Whitlock, Sarah Lewington et al.The Lancetprofile →
Blood cholesterol and vascular mortality by age, sex, and blood pressure: a meta-analysis of individual data from 61 prospective studies with 55 000 vascular deaths
20071.7k citationsSarah Lewington, Gary Whitlock et al.The Lancetprofile →
Epidemiology of Atherosclerosis and the Potential to Reduce the Global Burden of Atherothrombotic Disease
20161.1k citationsWilliam G. Herrington, Ben Lacey et al.profile →
Underestimation of Risk Associations Due to Regression Dilution in Long-term Follow-up of Prospective Studies
1999672 citationsSarah Lewington, Rory Collins et al.profile →
The Age-Specific Quantitative Effects of Metabolic Risk Factors on Cardiovascular Diseases and Diabetes: A Pooled Analysis
2013532 citationsGitanjali M Singh, Goodarz Danaei et al.PLoS ONEprofile →
Associations of Omega-3 Fatty Acid Supplement Use With Cardiovascular Disease Risks
2018442 citationsRory Collins, Sarah Lewington et al.profile →
The Burden of Hypertension and Associated Risk for Cardiovascular Mortality in China
2016290 citationsSarah Lewington, Ben Lacey et al.profile →
Excess deaths associated with covid-19 pandemic in 2020: age and sex disaggregated time series analysis in 29 high income countries
2021285 citationsNazrul Islam, Vladimir M. Shkolnikov et al.BMJprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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Countries citing papers authored by Sarah Lewington
Since
Specialization
Citations
This map shows the geographic impact of Sarah Lewington'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 Sarah Lewington with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sarah Lewington more than expected).
This network shows the impact of papers produced by Sarah Lewington. 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 Sarah Lewington. The network helps show where Sarah Lewington may publish in the future.
Co-authorship network of co-authors of Sarah Lewington
This figure shows the co-authorship network connecting the top 25 collaborators of Sarah Lewington.
A scholar is included among the top collaborators of Sarah Lewington 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 Sarah Lewington. Sarah Lewington is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Islam, Nazrul, Vladimir M. Shkolnikov, Rolando J. Acosta, et al.. (2021). Excess deaths associated with covid-19 pandemic in 2020: age and sex disaggregated time series analysis in 29 high income countries. BMJ. 373. n1137–n1137.285 indexed citations breakdown →
Заридзе, Д Г, Sarah Lewington, & Alexander Boroda. (2014). Alcohol and mortality in Russia: prospective observational study of 151 000 adults (vol 383, pg 1465, 2014). The Lancet. 383. 1464–1464.2 indexed citations
13.
Lewington, Sarah, et al.. (2014). Outdoor temperature, blood pressure and cardiovascular disease mortality among people with diagnosed cardiovascular diseases: findings from the China Kadoorie Biobank. European Heart Journal. 35. 556–556.1 indexed citations
14.
Singh, Gitanjali M, Goodarz Danaei, Farshad Farzadfar, et al.. (2013). The Age-Specific Quantitative Effects of Metabolic Risk Factors on Cardiovascular Diseases and Diabetes: A Pooled Analysis. PLoS ONE. 8(7). e65174–e65174.532 indexed citations breakdown →
Lewington, Sarah, et al.. (2012). Age specific relevance of usual blood pressure to vascular mortality. Author's reply. STM:n Hallinnonalan avoin julkaisuarkisto (Julkari).2 indexed citations
17.
Redón, Josep, Peter Sleight, G. Mancia, et al.. (2009). SAFETY AND EFFICACY OF AGGRESSIVE BLOOD PRESSURE LOWERING AMONG PATIENTS WITH DIABETES: SUBGROUP ANALYSES FROM THE ONTARGET TRIAL. UCL Discovery (University College London).6 indexed citations
18.
Qizilbash, Nawab, et al.. (2005). Tacrine for Alzheimer's disease (Withdrawn Paper. 1999, art. no. CD000202).13 indexed citations
19.
Lewington, Sarah. (2003). Prospective studies collaboration. Age-specific relevance of usual blood pressure to vascular mortality: a meta-analysis of individual data for one million adults in 61 prospective studies (vol 360, pg 1903, 2002). Oxford University Research Archive (ORA) (University of Oxford).64 indexed citations
20.
Lewington, Sarah, Robert Clarke, M Shipley, Rory Collins, & R Peto. (1998). Underestimation of BP risk association due to regression dilution in long-term follow-up of prospective studies. Journal of Hypertension. 16.3 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.