Stephen Burgess

108.0k citations
334 papers · 48.2k indexed · 33 hit papers · h-index 78

Impact in

Papers in

    • Genetic Associations and Epidemiology 198
    • Genetic and phenotypic traits in livestock 52
    • Genetic Mapping and Diversity in Plants and Animals 24
    • Advanced Causal Inference Techniques 31
    • Statistical Methods in Clinical Trials 16

Stephen Burgess

316 papers receiving 47.9k citations

Hit Papers

Lipoprotein(a) Is Markedly More Atherogenic Than LDL 2024 · 98 citations
9820112026201620214008001.2k

Peers

Stephen Burgess
Comparison fields: 5 of 202
  • Genetics 22.5k
  • Biological Psychiatry 965
  • Rheumatology 5.1k
  • Endocrinology, Diabetes and Metabolism 4.7k
  • Physiology 6.0k
Replace Jack Bowden with:
Jack Bowden United Kingdom
Nicholas J. Timpson United Kingdom
John Danesh United Kingdom
Naveed Sattar United Kingdom
L. Adrienne Cupples United States
Eric Boerwinkle United States
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Stephen Burgess relative to Jack Bowden United Kingdom Jack Bowden's profile →
Citations per field
00.5×1.5×2.0×
Jack Bowden · 1×
Citations per year

Countries citing papers authored by Stephen Burgess

Since Specialization
Citations

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

Fields of papers citing papers by Stephen Burgess

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20250
2
Lipoprotein(a) Is Markedly More Atherogenic Than LDL
Hit paper breakdown →
202498
3 20243
4 202422
5 20249
6 202319
7 202218
8 202211
9 20229
10 202247
11 202129
12 202114
13 202114
14 202050
15 202035
16 202091
17 202032
18 201955
19 2017135
20 20161

About Stephen Burgess

Stephen Burgess is a scholar working on Genetics, Statistics and Probability, Endocrinology, Diabetes and Metabolism, Biological Psychiatry and Rheumatology, having authored 334 papers that have together received 48.2k indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (198 papers), Genetic and phenotypic traits in livestock (52 papers), Liver Disease Diagnosis and Treatment (31 papers), Advanced Causal Inference Techniques (31 papers), Genetic Mapping and Diversity in Plants and Animals (24 papers), Lipoproteins and Cardiovascular Health (24 papers), Folate and B Vitamins Research (21 papers) and Statistical Methods in Clinical Trials (16 papers). The work is most often cited by research in Genetics (22.5k citations), Biological Psychiatry (965 citations), Rheumatology (5.1k citations), Endocrinology, Diabetes and Metabolism (4.7k citations) and Physiology (6.0k citations). Stephen Burgess has collaborated with scholars based in United Kingdom, United States and Sweden. Frequent co-authors include Simon G. Thompson, George Davey Smith, Jack Bowden, Adam S. Butterworth, Simon G. Thompson, Philip Haycock, Susanna C. Larsson, Nicholas J. Timpson, James R Staley and Brandon L. Pierce. Their work appears in journals such as International Journal of Epidemiology, BMC Medicine, European Journal of Epidemiology, Statistics in Medicine and Journal of the American Heart Association.

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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