Steven Bell

92 papers receiving 3.5k citations

Steven Bell's Hit Papers

Comparison of risk factor associations in UK Biobank against representative, general population based studies with conventional response rates: prospective cohort study and individual participant meta-analysis 2020 · 452 citations
4520+3+7Years since publication100200300400

Peers

Steven Bell
Comparison fields: 5 of 156
  • Pathology and Forensic Medicine 491
  • Neurology 374
  • Biological Psychiatry 60
  • Epidemiology 626
  • Health 112
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Mary Kwasny United States
Lazaros Belbasis Greece
Dianxu Ren United States
Sadao Suzuki Japan
Rania A. Mekary United States
Tatjana Pekmezović Serbia
Jet Veldhuijzen Zanten United Kingdom
François Curtin Switzerland
Meei‐Shyuan Lee Taiwan
Eliisa Löyttyniemi Finland
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Citations per year

Countries citing papers authored by Steven Bell

Since Specialization
Citations

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

Fields of papers citing papers by Steven Bell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 95 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Comparison of risk factor associations in UK Biobank against representative, general population based studies with conventional response rates: prospective cohort study and individual participant meta-analysis
Hit paper breakdown →
2020452
2 2020327
3
Alcohol Consumption and the Risk of Type 2 Diabetes: A Systematic Review and Dose-Response Meta-analysis of More Than 1.9 Million Individuals From 38 Observational Studies
Hit paper breakdown →
2015291
4 2017220
5 2015188
6 2001171
7 2019125
8 2014123
9 2019119
10 201898
11 201983
12 201475
13 201659
14 201855
15 201553
16 202251
17 202150
18 202048
19 202144
20 201641

About Steven Bell

Steven Bell is a scholar working on Pathology and Forensic Medicine, Epidemiology, Surgery, Neurology and Anesthesiology and Pain Medicine, having authored 95 papers that have together received 3.6k indexed citations. Recurring topics across this work include Alcohol Consumption and Health Effects (17 papers), Substance Abuse Treatment and Outcomes (11 papers), Anesthesia and Pain Management (5 papers), Genetic Associations and Epidemiology (4 papers), Pain Management and Opioid Use (4 papers), Cerebrovascular and genetic disorders (4 papers), Reproductive tract infections research (4 papers) and Dementia and Cognitive Impairment Research (3 papers). The work is most often cited by research in Pathology and Forensic Medicine (491 citations), Neurology (374 citations), Biological Psychiatry (60 citations), Epidemiology (626 citations) and Health (112 citations). Steven Bell has collaborated with scholars based in United Kingdom, United States and Australia. Frequent co-authors include Annie Britton, G. David Batty, Mika Kivimäki, Catharine R. Galé, Craig Knott, Hugh S. Markus, Ian J. Deary, Stefania Nannoni, Rosa de Groot and Diana Kuh. Their work appears in journals such as Anesthesiology, BMC Medicine, Drug and Alcohol Dependence, Nature Communications and BMJ.

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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