Generation Scotland

1.8k total citations
10 papers, 401 citations indexed

About

Generation Scotland is a scholar working on Molecular Biology, Genetics and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Generation Scotland has authored 10 papers receiving a total of 401 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Molecular Biology, 3 papers in Genetics and 2 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Generation Scotland's work include Genetic Associations and Epidemiology (2 papers), Genetics and Neurodevelopmental Disorders (2 papers) and Congenital heart defects research (2 papers). Generation Scotland is often cited by papers focused on Genetic Associations and Epidemiology (2 papers), Genetics and Neurodevelopmental Disorders (2 papers) and Congenital heart defects research (2 papers). Generation Scotland collaborates with scholars based in United Kingdom, Australia and Russia. Generation Scotland's co-authors include N Waugh, Michael P.T. Gillett, Elizabeth Goyder, Alan Brennan, R. Williams, Ann John, Paul McNamee, David J. Porteous, Ian J. Deary and Archie Campbell and has published in prestigious journals such as Pain, Journal of Hypertension and Health Technology Assessment.

In The Last Decade

Generation Scotland

9 papers receiving 386 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Generation Scotland United Kingdom 7 167 62 61 54 53 10 401
Kung‐Ting Kao Australia 13 98 0.6× 43 0.7× 58 1.0× 110 2.0× 55 1.0× 25 368
Miri Lutski Israel 12 103 0.6× 87 1.4× 57 0.9× 89 1.6× 29 0.5× 38 453
Marco Scardapane Italy 12 207 1.2× 63 1.0× 26 0.4× 23 0.4× 70 1.3× 22 412
Yueyue You China 11 71 0.4× 38 0.6× 36 0.6× 40 0.7× 27 0.5× 27 311
Jørgen Hangaard Denmark 12 234 1.4× 46 0.7× 38 0.6× 81 1.5× 77 1.5× 21 543
Sonali Shah United States 7 150 0.9× 79 1.3× 53 0.9× 140 2.6× 20 0.4× 14 757
Sonali N. Shah United States 12 150 0.9× 40 0.6× 35 0.6× 34 0.6× 28 0.5× 19 499
Gonzalo R. Pérez‐Roncero Spain 14 136 0.8× 38 0.6× 40 0.7× 211 3.9× 28 0.5× 28 586
Mathieu Firmann Switzerland 4 97 0.6× 70 1.1× 71 1.2× 125 2.3× 50 0.9× 5 576
Prataap K. Chandie Shaw Netherlands 9 169 1.0× 31 0.5× 24 0.4× 43 0.8× 22 0.4× 19 466

Countries citing papers authored by Generation Scotland

Since Specialization
Citations

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

Fields of papers citing papers by Generation Scotland

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Generation Scotland

This figure shows the co-authorship network connecting the top 25 collaborators of Generation Scotland. A scholar is included among the top collaborators of Generation Scotland based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Generation Scotland. Generation Scotland is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

10 of 10 papers shown
1.
Ryan, Niamh, Jayon Lihm, Melissa Kramer, et al.. (2019). BEYOND THE TRANSLOCATION: WHOLE GENOME SEQUENCING ANALYSIS OF THE SCOTTISH T(1;11) FAMILY. European Neuropsychopharmacology. 29. S890–S890.
2.
Hall, Lynsey S., Mark J. Adams, Aleix Arnau‐Soler, et al.. (2018). Genome-wide meta-analyses of stratified depression in Generation Scotland and UK Biobank. Translational Psychiatry. 8(1). 9–9. 53 indexed citations
3.
Campbell, Paul, Kelvin P. Jordan, Blair H. Smith, Generation Scotland, & Kate M. Dunn. (2017). Chronic pain in families: a cross-sectional study of shared social, behavioural, and environmental influences. Pain. 159(1). 41–47. 15 indexed citations
4.
Luciano, Michelle, Victoria Svinti, Archie Campbell, et al.. (2015). Exome Sequencing to Detect Rare Variants Associated With General Cognitive Ability: A Pilot Study. Twin Research and Human Genetics. 18(2). 117–125. 7 indexed citations
5.
Marioni, Riccardo E., Archie Campbell, Generation Scotland, et al.. (2015). Differential effects of the APOE e4 allele on different domains of cognitive ability across the life-course. European Journal of Human Genetics. 24(6). 919–923. 47 indexed citations
6.
Brown, C., Jeremy D. Flynn, David Carty, Generation Scotland, & Christian Delles. (2015). LB01.05. Journal of Hypertension. 33(Supplement 1). e46–e46. 5 indexed citations
7.
Denison, Fiona C., Patrícia Norwood, Siladitya Bhattacharya, et al.. (2015). Association Between Maternal Body Mass Index During Pregnancy, Short-term Morbidity, and Increased Health Service Costs. Obstetric Anesthesia Digest. 35(1). 18–19. 8 indexed citations
8.
Norsworthy, Penny J., Jana Vandrovcová, Ellen Thomas, et al.. (2014). Targeted genetic testing for familial hypercholesterolaemia using next generation sequencing: a population-based study. BMC Medical Genetics. 15(1). 70–70. 39 indexed citations
9.
Gillett, Michael P.T., Pamela Royle, A Snaith, et al.. (2012). Modifiable risk factors for type 2 diabetes mellitus. 1 indexed citations
10.
Waugh, N, Generation Scotland, Paul McNamee, et al.. (2007). Screening for type 2 diabetes: literature review and economic modelling. Health Technology Assessment. 11(17). iii–iv, ix. 226 indexed citations

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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2026