Claire Bellis

13.2k total citations
37 papers, 890 citations indexed

About

Claire Bellis is a scholar working on Genetics, Molecular Biology and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Claire Bellis has authored 37 papers receiving a total of 890 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Genetics, 13 papers in Molecular Biology and 7 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Claire Bellis's work include Genetic Associations and Epidemiology (9 papers), Migraine and Headache Studies (7 papers) and Genetic and phenotypic traits in livestock (6 papers). Claire Bellis is often cited by papers focused on Genetic Associations and Epidemiology (9 papers), Migraine and Headache Studies (7 papers) and Genetic and phenotypic traits in livestock (6 papers). Claire Bellis collaborates with scholars based in Australia, United States and New Zealand. Claire Bellis's co-authors include Lyn R. Griffiths, John Blangero, Rod A. Lea, Joanne E. Curran, Thomas D. Dyer, Sharon Quinlan, Kevin J. Ashton, Hannah C. Cox, Peter J. Meikle and Hemant Kulkarni and has published in prestigious journals such as PLoS ONE, Scientific Reports and International Journal of Molecular Sciences.

In The Last Decade

Claire Bellis

37 papers receiving 870 citations

Peers

Claire Bellis
Michael D. Bates United States
Jagannadha Avasarala United States
Simone de Jong United Kingdom
Kimberly P. Keil United States
Claudia Gragnoli United States
Claire Bellis
Citations per year, relative to Claire Bellis Claire Bellis (= 1×) peers Vanessa F. Gonçalves

Countries citing papers authored by Claire Bellis

Since Specialization
Citations

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

Fields of papers citing papers by Claire Bellis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Claire Bellis

This figure shows the co-authorship network connecting the top 25 collaborators of Claire Bellis. A scholar is included among the top collaborators of Claire Bellis 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 Claire Bellis. Claire Bellis 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.
Zapata, Isain, Elizabeth Hare, Katharine M. N. Lee, et al.. (2022). Genome scanning of behavioral selection in a canine olfactory detection breeding cohort. Scientific Reports. 12(1). 14984–14984. 5 indexed citations
2.
Benton, Miles C., Rod A. Lea, Donia Macartney‐Coxson, et al.. (2015). A Phenomic Scan of the Norfolk Island Genetic Isolate Identifies a Major Pleiotropic Effect Locus Associated with Metabolic and Renal Disorder Markers. PLoS Genetics. 11(10). e1005593–e1005593. 3 indexed citations
3.
Benton, Miles C., Shani Stuart, Claire Bellis, et al.. (2015). ‘Mutiny on the Bounty’: the genetic history of Norfolk Island reveals extreme gender-biased admixture. PubMed. 6(1). 11–11. 7 indexed citations
4.
Smith, Robert A., Gwladys Revêchon, Claire Bellis, et al.. (2015). Association of the microRNA-Single Nucleotide Polymorphism rs2910164 in miR146a with sporadic breast cancer susceptibility: A case control study. Gene. 576(1). 256–260. 19 indexed citations
5.
Benton, Miles C., Rod A. Lea, Donia Macartney‐Coxson, et al.. (2015). Serum bilirubin concentration is modified by UGT1A1 Haplotypes and influences risk of Type-2 diabetes in the Norfolk Island genetic isolate. BMC Genetics. 16(1). 136–136. 10 indexed citations
6.
Rudkowska, Iwona, Louis Përusse, Claire Bellis, et al.. (2015). Interaction between Common Genetic Variants and Total Fat Intake on Low-Density Lipoprotein Peak Particle Diameter: A Genome-Wide Association Study. Lifestyle Genomics. 8(1). 44–53. 21 indexed citations
7.
Kulkarni, Hemant, Peter J. Meikle, Manju Mamtani, et al.. (2014). Plasma lipidome is independently associated with variability in metabolic syndrome in Mexican American families. Journal of Lipid Research. 55(5). 939–946. 12 indexed citations
8.
Demerath, Ellen W., Audrey C. Choh, William Johnson, et al.. (2013). The Positive Association of Obesity Variants with Adulthood Adiposity Strengthens over an 80-Year Period: A Gene-by-Birth Year Interaction. Human Heredity. 75(2-4). 175–185. 32 indexed citations
9.
Johnson, William, Audrey C. Choh, Joanne E. Curran, et al.. (2012). Genetic risk for earlier menarche also influences peripubertal body mass index. American Journal of Physical Anthropology. 150(1). 10–20. 16 indexed citations
10.
Cox, Hannah C., Rod A. Lea, Claire Bellis, et al.. (2012). A genome-wide analysis of 'Bounty' descendants implicates several novel variants in migraine susceptibility. Neurogenetics. 13(3). 261–266. 30 indexed citations
11.
Mackey, David A., Justin C. Sherwin, Lisa S. Kearns, et al.. (2011). The Norfolk Island Study (NIES): Rationale, Methodology and Distribution of Ocular Biometry (Biometry of the Bounty). UWA Profiles and Research Repository (UWA). 11 indexed citations
12.
Mackey, David A., Justin C. Sherwin, Lisa S. Kearns, et al.. (2011). The Norfolk Island Eye Study (NIES): Rationale, Methodology and Distribution of Ocular Biometry (Biometry of the Bounty). Twin Research and Human Genetics. 14(1). 42–52. 1 indexed citations
13.
Kumar, Satish, Claire Bellis, Mark Zlojutro, et al.. (2011). Large scale mitochondrial sequencing in Mexican Americans suggests a reappraisal of Native American origins. BMC Evolutionary Biology. 11(1). 293–293. 66 indexed citations
14.
Cox, Hannah C., Rod A. Lea, Claire Bellis, et al.. (2011). Heritability and genome-wide linkage analysis of migraine in the genetic isolate of Norfolk Island. Gene. 494(1). 119–123. 2 indexed citations
15.
Cox, Hannah C., Claire Bellis, Rod A. Lea, et al.. (2009). Principal Component and Linkage Analysis of Cardiovascular Risk Traits in the Norfolk Isolate. Human Heredity. 68(1). 55–64. 18 indexed citations
16.
Fernandez, Francesca, Rod A. Lea, Natalie Colson, et al.. (2006). Association between a 19 bp deletion polymorphism at the dopamine beta-hydroxylase (DBH) locus and migraine with aura. Journal of the Neurological Sciences. 251(1-2). 118–123. 56 indexed citations
18.
Bellis, Claire, Roger Hughes, Sharon Quinlan, et al.. (2005). Phenotypical Characterisation of the Isolated Norfolk Island Population Focusing on Epidemiological Indicators of Cardiovascular Disease. Human Heredity. 60(4). 211–219. 34 indexed citations
19.
Curtain, Robert P., Rod A. Lea, Sharon Quinlan, et al.. (2004). Investigation of the low-density lipoprotein receptor gene and cholesterol as a risk factor for migraine. Journal of the Neurological Sciences. 227(1). 95–100. 11 indexed citations
20.
Bellis, Claire, et al.. (2003). A molecular genetic approach for forensic animal species identification. Forensic Science International. 134(2-3). 99–108. 83 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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