Stephen J. Sharp

40.7k citations
381 papers · 31.4k · 17 hit papers · h-index 90

Impact in

Papers in

Stephen J. Sharp

368 papers receiving 30.3k citations

Stephen J. Sharp's Hit Papers

Wearable-device-measured physical activity and future health risk 2020 · 270 citations
2700+6+12Years since publication50010001.5k

Peers

Stephen J. Sharp
Comparison fields: 5 of 211
  • Endocrinology, Diabetes and Metabolism 3.5k
  • Physiology 5.0k
  • Virology 829
  • Genetics 4.5k
  • Public Health, Environmental and Occupational Health 4.1k
Replace David Schoenfeld with:
David Schoenfeld United States
Valerie Beral United Kingdom
Naomi Sharlene Levitt South Africa
LISA M. SULLIVAN United States
Murielle Bochud Switzerland
Rudi G. J. Westendorp Netherlands
Jean Ferrières France
Stephen T. McGarvey United States
Dominique Arveiler France
Diane M. Becker United States
Stephen J. Sharp relative to David Schoenfeld United States David Schoenfeld's profile →
Citations per field
00.5×1.5×2×2.3×
David Schoenfeld · 1×
Citations per year

Countries citing papers authored by Stephen J. Sharp

Since Specialization
Citations

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

Fields of papers citing papers by Stephen J. Sharp

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 381 papers — load more, or switch the sort, to bring in the rest.

#Work
1
New genetic loci implicated in fasting glucose homeostasis and their impact on type 2 diabetes risk
Hit paper breakdown →
20101842
2
Explaining heterogeneity in meta-analysis: a comparison of methods
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19991483
3
Sedentary behaviour and risk of all-cause, cardiovascular and cancer mortality, and incident type 2 diabetes: a systematic review and dose response meta-analysis
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20181042
4
Efficient Neutralization of Primary Isolates of HIV-1 by a Recombinant Human Monoclonal Antibody
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1994991
5
Variants in MTNR1B influence fasting glucose levels
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2008634
6
HMG-coenzyme A reductase inhibition, type 2 diabetes, and bodyweight: evidence from genetic analysis and randomised trials
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2014552
7 2010544
8
Association between alcohol and cardiovascular disease: Mendelian randomisation analysis based on individual participant data
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2014529
9
Variability in the Heritability of Body Mass Index: A Systematic Review and Meta-Regression
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2012493
10
Integrative genomic analysis implicates limited peripheral adipose storage capacity in the pathogenesis of human insulin resistance
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2016468
11
Physical Activity Attenuates the Influence of FTO Variants on Obesity Risk: A Meta-Analysis of 218,166 Adults and 19,268 Children
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2011467
12
Differences in the prospective association between individual plasma phospholipid saturated fatty acids and incident type 2 diabetes: the EPIC-InterAct case-cohort study
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2014454
13
Early Age at Menarche Associated with Cardiovascular Disease and Mortality
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2009438
14 2020422
15 2011378
16
Objectively measured physical activity in four-year-old British children: a cross-sectional analysis of activity patterns segmented across the day
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2014360
17 2011346
18
Genetic Predisposition to an Impaired Metabolism of the Branched-Chain Amino Acids and Risk of Type 2 Diabetes: A Mendelian Randomisation Analysis
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2016344
19
Association Between Low-Density Lipoprotein Cholesterol–Lowering Genetic Variants and Risk of Type 2 Diabetes
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2016325
20
Impact of common genetic determinants of Hemoglobin A1c on type 2 diabetes risk and diagnosis in ancestrally diverse populations: A transethnic genome-wide meta-analysis
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2017311

About Stephen J. Sharp

Stephen J. Sharp is a scholar working on Public Health, Environmental and Occupational Health, Physiology, Endocrinology, Diabetes and Metabolism, Genetics and Nutrition and Dietetics, having authored 381 papers that have together received 31.4k indexed citations. Recurring topics across this work include Physical Activity and Health (33 papers), Obesity, Physical Activity, Diet (28 papers), Nutritional Studies and Diet (22 papers), RNA and protein synthesis mechanisms (19 papers), Genetic Associations and Epidemiology (16 papers), RNA Research and Splicing (14 papers), RNA modifications and cancer (12 papers) and Fatty Acid Research and Health (11 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (3.5k citations), Physiology (5.0k citations), Virology (829 citations), Genetics (4.5k citations) and Public Health, Environmental and Occupational Health (4.1k citations). Stephen J. Sharp has collaborated with scholars based in United Kingdom, United States and France. Frequent co-authors include Simon G. Thompson, Nicholas J. Wareham, Søren Brage, Simon J. Griffin, Kay‐Tee Khaw, Robert Luben, Ulf Ekelund, Katrien L. Wijndaele, Nita G. Forouhi and Ken K. Ong. Their work appears in journals such as Diabetes Care, PLoS Medicine, BMJ Open, PLoS ONE and Diabetologia.

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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