Robin Young

59 papers receiving 3.3k citations

Robin Young's Hit Papers

PhenoScanner V2: an expanded tool for searching human genotype–phenotype associations 2019 · 1.3k citations
1.3k0+3+6Years since publication4008001.2k

Peers

Robin Young
Comparison fields: 5 of 138
  • Genetics 778
  • Cardiology and Cardiovascular Medicine 427
  • Applied Mathematics 187
  • Nephrology 103
  • Mathematical Physics 136
Replace Stephen A. Williams with:
Stephen A. Williams United States
Paul Schaefer United States
Alan Barnes United Kingdom
Yoshihiro Ônishi Japan
Věra Lánská Czechia
Robert Culverhouse United States
Amke Caliebe Germany
George M. Maxwell Australia
Manfred Wischnewsky Germany
David C. Johnson United States
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Citations per year

Countries citing papers authored by Robin Young

Since Specialization
Citations

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

Fields of papers citing papers by Robin Young

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 71 papers — load more, or switch the sort, to bring in the rest.

#Work
1
PhenoScanner V2: an expanded tool for searching human genotype–phenotype associations
Hit paper breakdown →
20191324
2
PhenoScanner: a database of human genotype–phenotype associations
Hit paper breakdown →
2016902
3
Polygenic Risk Score Identifies Subgroup With Higher Burden of Atherosclerosis and Greater Relative Benefit From Statin Therapy in the Primary Prevention Setting
Hit paper breakdown →
2017364
4 2016159
5 1969119
6 201855
7 202154
8 201843
9 199630
10 201629
11 199320
12 202119
13 201318
14 199918
15 201214
16 200113
17 201712
18 201212
19 201912
20 200912

About Robin Young

Robin Young is a scholar working on Applied Mathematics, Mathematical Physics, Computational Mechanics, Cardiology and Cardiovascular Medicine and Sociology and Political Science, having authored 71 papers that have together received 3.4k indexed citations. Recurring topics across this work include Navier-Stokes equation solutions (22 papers), Advanced Mathematical Physics Problems (16 papers), Fluid Dynamics and Turbulent Flows (7 papers), Computational Fluid Dynamics and Aerodynamics (7 papers), Historical and Linguistic Studies (5 papers), Cardiovascular Function and Risk Factors (5 papers), Biblical Studies and Interpretation (4 papers) and Historical, Religious, and Philosophical Studies (4 papers). The work is most often cited by research in Genetics (778 citations), Cardiology and Cardiovascular Medicine (427 citations), Applied Mathematics (187 citations), Nephrology (103 citations) and Mathematical Physics (136 citations). Robin Young has collaborated with scholars based in United States, United Kingdom and France. Frequent co-authors include Adam S. Butterworth, John Danesh, James Blackshaw, Praveen Surendran, Stephen Burgess, James R Staley, Mihir Kamat, Dirk S. Paul, Benjamin B. Sun and Blake Temple. Their work appears in journals such as European Heart Journal, Journal of Differential Equations, Journal of Hyperbolic Differential Equations, Archive for Rational Mechanics and Analysis and Bioinformatics.

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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