Laura J. Smyth

2.9k total citations
23 papers, 423 citations indexed

About

Laura J. Smyth is a scholar working on Molecular Biology, Genetics and Nephrology. According to data from OpenAlex, Laura J. Smyth has authored 23 papers receiving a total of 423 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 8 papers in Genetics and 5 papers in Nephrology. Recurrent topics in Laura J. Smyth's work include Epigenetics and DNA Methylation (13 papers), Birth, Development, and Health (4 papers) and Genetic Syndromes and Imprinting (3 papers). Laura J. Smyth is often cited by papers focused on Epigenetics and DNA Methylation (13 papers), Birth, Development, and Health (4 papers) and Genetic Syndromes and Imprinting (3 papers). Laura J. Smyth collaborates with scholars based in United Kingdom, United States and Ireland. Laura J. Smyth's co-authors include Amy Jayne McKnight, Alexander P. Maxwell, Gareth J. McKay, Marisa Cañadas‐Garre, Seamus Duffy, Helen McAneney, Shane McKee, Elizabeth Swan, Christopher Patterson and Claire Hill and has published in prestigious journals such as Gastroenterology, Social Science & Medicine and The Journals of Gerontology Series A.

In The Last Decade

Laura J. Smyth

22 papers receiving 415 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Laura J. Smyth United Kingdom 9 210 127 95 47 37 23 423
Nirupama Chandel United States 15 114 0.5× 135 1.1× 39 0.4× 113 2.4× 26 0.7× 23 487
Xiaoqiang Ding China 10 107 0.5× 242 1.9× 65 0.7× 21 0.4× 53 1.4× 33 446
Karin Luttropp Sweden 11 131 0.6× 84 0.7× 54 0.6× 42 0.9× 16 0.4× 23 377
Eiichiro Satake Japan 10 159 0.8× 82 0.6× 48 0.5× 35 0.7× 41 1.1× 25 348
Gudeta D. Fufaa United States 11 99 0.5× 233 1.8× 46 0.5× 33 0.7× 50 1.4× 13 423
José Carlos Rodríguez-Pérez Spain 12 83 0.4× 129 1.0× 57 0.6× 22 0.5× 68 1.8× 42 432
Richard Baines United Kingdom 10 120 0.6× 140 1.1× 33 0.3× 12 0.3× 53 1.4× 13 354
Tali Zitman‐Gal Israel 11 131 0.6× 60 0.5× 16 0.2× 38 0.8× 44 1.2× 40 401
Selvihan Beysel Türkiye 13 59 0.3× 97 0.8× 56 0.6× 33 0.7× 91 2.5× 38 491
Salvador Tranche Spain 16 103 0.5× 113 0.9× 49 0.5× 14 0.3× 57 1.5× 33 479

Countries citing papers authored by Laura J. Smyth

Since Specialization
Citations

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

Fields of papers citing papers by Laura J. Smyth

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Laura J. Smyth

This figure shows the co-authorship network connecting the top 25 collaborators of Laura J. Smyth. A scholar is included among the top collaborators of Laura J. Smyth 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 Laura J. Smyth. Laura J. Smyth is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Crimmins, Eileen M., Belinda Hernández, Claire Potter, et al.. (2025). Epigenetic Clocks Relate to 4 Age-related Health Outcomes Similarly Across 3 Countries. The Journals of Gerontology Series A. 80(7). 3 indexed citations
2.
Klopack, Eric T., Belinda Hernández, Claire Potter, et al.. (2025). Remarkable concordance in associations between epigenetic clocks and health behaviors across three countries. Social Science & Medicine. 381. 118287–118287.
3.
Mitchell, Jamie, Kenneth R. Sloan, Laura J. Smyth, et al.. (2025). Choroidal and retinal vascular changes in adults with Down syndrome: Insights into the Alzheimer's disease continuum. Alzheimer s & Dementia. 21(5). e70228–e70228. 1 indexed citations
4.
Potter, Claire, Claire Hill, Laura J. Smyth, et al.. (2024). Cohort profile: DNA methylation in the Northern Ireland Cohort for the Longitudinal Study of Ageing (NICOLA) – recruitment and participant characteristics. BMJ Open. 14(9). e085652–e085652. 1 indexed citations
5.
Hill, Claire, Amy Jayne McKnight, & Laura J. Smyth. (2024). Integrated multiomic analyses: An approach to improve understanding of diabetic kidney disease. Diabetic Medicine. 42(2). e15447–e15447. 5 indexed citations
6.
Cañadas‐Garre, Marisa, Laura J. Smyth, Claire Hill, et al.. (2024). Genetic variants affecting mitochondrial function provide further insights for kidney disease. BMC Genomics. 25(1). 576–576. 4 indexed citations
7.
Smyth, Laura J., Sharon Cruise, Jianjun Tang, et al.. (2023). Differential methylation in CD44 and SEC23A is associated with time preference in older individuals. Economics & Human Biology. 49. 101233–101233. 1 indexed citations
8.
Smyth, Laura J., et al.. (2022). Longitudinal Epigenome-Wide Analysis of Kidney Transplant Recipients Pretransplant and Posttransplant. Kidney International Reports. 8(2). 330–340. 8 indexed citations
9.
Smyth, Laura J., Sharon Cruise, Jianjun Tang, et al.. (2021). An investigation into DNA methylation patterns associated with risk preference in older individuals. Epigenetics. 17(10). 1159–1172. 3 indexed citations
10.
McAneney, Helen, et al.. (2020). A scoping review and proposed workflow for multi-omic rare disease research. Orphanet Journal of Rare Diseases. 15(1). 107–107. 32 indexed citations
11.
Smyth, Laura J., Christopher Patterson, Elizabeth Swan, Alexander P. Maxwell, & Amy Jayne McKnight. (2020). DNA Methylation Associated With Diabetic Kidney Disease in Blood-Derived DNA. Frontiers in Cell and Developmental Biology. 8. 561907–561907. 22 indexed citations
12.
Smyth, Laura J., et al.. (2019). Genetic associations between genes in the renin-angiotensin-aldosterone system and renal disease: a systematic review and meta-analysis. BMJ Open. 9(4). e026777–e026777. 42 indexed citations
13.
14.
Smyth, Laura J., et al.. (2019). Genetic Strategies to Understand Human Diabetic Nephropathy: Wet-Lab Approaches. Methods in molecular biology. 2067. 205–240. 2 indexed citations
15.
Cañadas‐Garre, Marisa, et al.. (2019). Genetic Susceptibility to Chronic Kidney Disease – Some More Pieces for the Heritability Puzzle. Frontiers in Genetics. 10. 453–453. 67 indexed citations
16.
17.
Benson, Katherine A., Sourabh Chand, Alexander P. Maxwell, et al.. (2017). Design and implementation of a custom next generation sequencing panel for selected vitamin D associated genes. BMC Research Notes. 10(1). 348–348. 2 indexed citations
18.
Smyth, Laura J., Gareth J. McKay, Alexander P. Maxwell, & Amy Jayne McKnight. (2013). DNA hypermethylation and DNA hypomethylation is present at different loci in chronic kidney disease. Epigenetics. 9(3). 366–376. 123 indexed citations
19.
Kettyle, Laura M., et al.. (2013). c‐Met inhibition in a HOXA9/Meis1 model of CN‐AML. Developmental Dynamics. 243(1). 172–181. 10 indexed citations
20.
Smyth, Laura J., et al.. (2000). Anaesthesia for magnetic resonance imaging: a survey of current practice in the UK and Ireland. Anaesthesia. 55(8). 737–743. 13 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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