Simon Sheard

19 papers receiving 2.8k citations

Simon Sheard's Hit Papers

Whole-genome sequencing of 490,640 UK Biobank participants 2025 · 31 citations
310+3+6Years since publication250500750

Peers

Simon Sheard
Comparison fields: 5 of 127
  • Physiology 672
  • Genetics 763
  • Health Informatics 39
  • Endocrine and Autonomic Systems 65
  • Psychiatry and Mental health 200
Replace Christine Lebrun‐Frénay with:
Christine Lebrun‐Frénay France
Nathan E. Wineinger United States
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Citations per field
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Citations per year

Countries citing papers authored by Simon Sheard

Since Specialization
Citations

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

Fields of papers citing papers by Simon Sheard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

19 of 19 papers shown
#Work
1
Large Scale Population Assessment of Physical Activity Using Wrist Worn Accelerometers: The UK Biobank Study
Hit paper breakdown →
2017944
2
The Allelic Landscape of Human Blood Cell Trait Variation and Links to Common Complex Disease
Hit paper breakdown →
2016905
3
The UK Biobank imaging enhancement of 100,000 participants: rationale, data collection, management and future directions
Hit paper breakdown →
2020521
4 202298
5 201787
6 202258
7 198844
8 202036
9 202134
10
Whole-genome sequencing of 490,640 UK Biobank participants
Hit paper breakdown →
202531
11 201913
12 20237
13 20196
14 19895
15 20193
16 19882
17 20192
18 19881
19 20231

About Simon Sheard

Simon Sheard is a scholar working on Psychiatry and Mental health, Genetics, Health, Toxicology and Mutagenesis, Electronic, Optical and Magnetic Materials and Physiology, having authored 19 papers that have together received 2.8k indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (6 papers), Dementia and Cognitive Impairment Research (5 papers), Magnetic Properties and Applications (3 papers), Health, Environment, Cognitive Aging (3 papers), Clinical Laboratory Practices and Quality Control (2 papers), Metallic Glasses and Amorphous Alloys (2 papers), COVID-19 Clinical Research Studies (1 paper) and Gene expression and cancer classification (1 paper). The work is most often cited by research in Physiology (672 citations), Genetics (763 citations), Health Informatics (39 citations), Endocrine and Autonomic Systems (65 citations) and Psychiatry and Mental health (200 citations). Simon Sheard has collaborated with scholars based in United Kingdom, United States and Netherlands. Frequent co-authors include Tim C. Peakman, Christopher G. Owen, Søren Brage, Nils Hammerla, Patrick L. Olivier, Aiden Doherty, Malcolm Howard Granat, Thomas Plötz, Dan Jackson and Vincent T. van Hees. Their work appears in journals such as The Journal of Clinical Psychiatry, Nature Communications, Wellcome Open Research, Journal of Magnetism and Magnetic Materials and PLoS ONE.

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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