Cathy E. Elks

9.0k total citations · 2 hit papers
26 papers, 2.6k citations indexed

About

Cathy E. Elks is a scholar working on Genetics, Molecular Biology and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, Cathy E. Elks has authored 26 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Genetics, 10 papers in Molecular Biology and 6 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in Cathy E. Elks's work include Genetic Associations and Epidemiology (8 papers), Birth, Development, and Health (6 papers) and Regulation of Appetite and Obesity (4 papers). Cathy E. Elks is often cited by papers focused on Genetic Associations and Epidemiology (8 papers), Birth, Development, and Health (6 papers) and Regulation of Appetite and Obesity (4 papers). Cathy E. Elks collaborates with scholars based in United Kingdom, United States and Canada. Cathy E. Elks's co-authors include Ken K. Ong, Ruth J. F. Loos, Nicholas J. Wareham, Stephen J. Sharp, Rajalakshmi Lakshman, Felix R. Day, Anna Murray, John R. B. Perry, Marcel den Hoed and Jing Hua Zhao and has published in prestigious journals such as Circulation, Journal of Clinical Oncology and American Journal of Clinical Nutrition.

In The Last Decade

Cathy E. Elks

25 papers receiving 2.5k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Variability in the Heritability of Body Mass Index: A Systematic Review and Meta-Regression

2012 435 citations Cathy E. Elks, Marcel den Hoed et al. Frontiers in Endocrinology profile →
Puberty timing associated with diabetes, cardiovascular disease and also diverse health outcomes in men and women: the UK Biobank study

2015 367 citations Felix R. Day, Cathy E. Elks et al. Scientific Reports profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Cathy E. Elks United Kingdom	17	764	727	582	460	455	26	2.6k
Cynthia K. Sites United States	30	745 1.0×	525 0.7×	361 0.6×	826 1.8×	424 0.9×	71	3.3k
Virpi Lindi Finland	29	877 1.1×	275 0.4×	370 0.6×	922 2.0×	414 0.9×	66	2.5k
Michael J. Wheeler United Kingdom	38	561 0.7×	269 0.4×	318 0.5×	612 1.3×	369 0.8×	94	3.4k
Cecilia Garcia Rudaz Australia	3	1.1k 1.4×	215 0.3×	342 0.6×	431 0.9×	363 0.8×	5	2.7k
Hala Tfayli United States	26	1.4k 1.8×	450 0.6×	425 0.7×	512 1.1×	563 1.2×	38	3.8k
Rosa Calvo Spain	29	903 1.2×	300 0.4×	685 1.2×	207 0.5×	589 1.3×	97	3.8k
Toshiya Matsuzaki Japan	30	435 0.6×	318 0.4×	245 0.4×	513 1.1×	596 1.3×	156	3.2k
Isabel Esteva Spain	30	495 0.6×	319 0.4×	130 0.2×	387 0.8×	504 1.1×	95	2.7k
Johannes C. Huber Austria	33	830 1.1×	404 0.6×	253 0.4×	235 0.5×	295 0.6×	99	2.9k
Prabhakaran Balagopal United States	30	633 0.8×	164 0.2×	201 0.3×	1.3k 2.8×	1.0k 2.2×	68	3.4k

Countries citing papers authored by Cathy E. Elks

Since Specialization

Citations

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

Fields of papers citing papers by Cathy E. Elks

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Cathy E. Elks. 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 Cathy E. Elks. The network helps show where Cathy E. Elks may publish in the future.

Co-authorship network of co-authors of Cathy E. Elks

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

All Works

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20 of 20 papers shown

Vat, Lidewij Eva, Brian Goodman, Ana Paula Martins, et al.. (2025). Creation of the ideal health care pathway for integrating ctDNA testing into clinical practice through multi-stakeholder engagement.. Journal of Clinical Oncology. 43(16_suppl).

Jones, Melanie A., Kirsten M. Timms, Elizabeth S. Cogan, et al.. (2023). The landscape of BRCA1 and BRCA2 large rearrangements in an international cohort of over 20 000 ovarian tumors identified using next‐generation sequencing. Genes Chromosomes and Cancer. 62(10). 589–596. 3 indexed citations

Hodgson, Darren, Jessica Brown, Simon Dearden, et al.. (2021). Concordance of BRCA mutation detection in tumor versus blood, and frequency of bi-allelic loss of BRCA in tumors from patients in the phase III SOLO2 trial. Gynecologic Oncology. 163(3). 563–568. 10 indexed citations

Elks, Cathy E., Paul Martin, David Carlile, et al.. (2017). Pharmacokinetics and pharmacogenetics of the MEK1/2 inhibitor, selumetinib, in Asian and Western healthy subjects: a pooled analysis. European Journal of Clinical Pharmacology. 73(6). 717–726. 12 indexed citations

Day, Felix R., Cathy E. Elks, Anna Murray, Ken K. Ong, & John R. B. Perry. (2015). Puberty timing associated with diabetes, cardiovascular disease and also diverse health outcomes in men and women: the UK Biobank study. Scientific Reports. 5(1). 11208–11208. 367 indexed citations breakdown →

Johnson, William, Kenneth Ong, Cathy E. Elks, et al.. (2014). Modification of genetic influences on adiposity between 36 and 63 years of age by physical activity and smoking in the 1946 British Birth Cohort Study. Nutrition and Diabetes. 4(9). e136–e136. 10 indexed citations

Elks, Cathy E., Ruth J. F. Loos, Rebecca Hardy, et al.. (2012). Adult obesity susceptibility variants are associated with greater childhood weight gain and a faster tempo of growth: the 1946 British Birth Cohort Study. American Journal of Clinical Nutrition. 95(5). 1150–1156. 72 indexed citations

Lakshman, Rajalakshmi, Cathy E. Elks, & Ken K. Ong. (2012). Childhood Obesity. Circulation. 126(14). 1770–1779. 244 indexed citations

Elks, Cathy E., Marcel den Hoed, Jing Hua Zhao, et al.. (2012). Variability in the Heritability of Body Mass Index: A Systematic Review and Meta-Regression. Frontiers in Endocrinology. 3. 29–29. 435 indexed citations breakdown →

10.

Elks, Cathy E. & Ken K. Ong. (2011). Whole genome associated studies for age at menarche. Briefings in Functional Genomics. 10(2). 91–97. 14 indexed citations

11.

Mumby, Hannah S., Cathy E. Elks, Shengxu Li, et al.. (2011). Mendelian Randomisation Study of Childhood BMI and Early Menarche. Journal of Obesity. 2011. 1–6. 61 indexed citations

12.

Elks, Cathy E., Ruth J. F. Loos, Stephen J. Sharp, et al.. (2010). Genetic Markers of Adult Obesity Risk Are Associated with Greater Early Infancy Weight Gain and Growth. PLoS Medicine. 7(5). e1000284–e1000284. 140 indexed citations

13.

Ong, Ken K., Cathy E. Elks, Andrew K. Wills, et al.. (2010). Associations between the Pubertal Timing-Related Variant inLIN28Band BMI Vary Across the Life Course. The Journal of Clinical Endocrinology & Metabolism. 96(1). E125–E129. 49 indexed citations

14.

Elks, Cathy E., et al.. (2010). Association between childhood obesity and subsequent Type 1 diabetes: a systematic review and meta‐analysis. Diabetic Medicine. 28(1). 10–18. 91 indexed citations

15.

Kang, Yu‐Ming, Liming Yang, Danian Qin, et al.. (2009). Brain tumour necrosis factor- modulates neurotransmitters in hypothalamic paraventricular nucleus in heart failure. Cardiovascular Research. 83(4). 737–746. 100 indexed citations

16.

Hardy, Rebecca, Andrew K. Wills, Andrew Wong, et al.. (2009). Life course variations in the associations between FTO and MC4R gene variants and body size. Human Molecular Genetics. 19(3). 545–552. 197 indexed citations

17.

Kang, Yu‐Ming, Ying Ma, Jianbao Zheng, et al.. (2009). Brain nuclear factor-kappa B activation contributes to neurohumoral excitation in angiotensin II-induced hypertension. Cardiovascular Research. 82(3). 503–512. 182 indexed citations

18.

Ruchat, Stéphanie-May, Cathy E. Elks, Ruth J. F. Loos, et al.. (2009). Evidence of Interaction between Type 2 Diabetes Susceptibility Genes and Dietary Fat Intake for Adiposity and Glucose Homeostasis-Related Phenotypes. Lifestyle Genomics. 2(4-5). 225–234. 22 indexed citations

19.

Kang, Yu‐Ming, Ying Ma, Cathy E. Elks, et al.. (2008). Cross-talk between cytokines and renin-angiotensin in hypothalamic paraventricular nucleus in heart failure: role of nuclear factor- B. Cardiovascular Research. 79(4). 671–678. 111 indexed citations

20.

Ruchat, Stéphanie-May, Cathy E. Elks, Ruth J. F. Loos, et al.. (2008). Association between insulin secretion, insulin sensitivity and type 2 diabetes susceptibility variants identified in genome-wide association studies. Acta Diabetologica. 46(3). 217–226. 91 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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