Jac Charlesworth

3.2k total citations
66 papers, 1.9k citations indexed

About

Jac Charlesworth is a scholar working on Pathology and Forensic Medicine, Molecular Biology and Genetics. According to data from OpenAlex, Jac Charlesworth has authored 66 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Pathology and Forensic Medicine, 22 papers in Molecular Biology and 15 papers in Genetics. Recurrent topics in Jac Charlesworth's work include Multiple Sclerosis Research Studies (19 papers), Genetic Associations and Epidemiology (9 papers) and Glaucoma and retinal disorders (8 papers). Jac Charlesworth is often cited by papers focused on Multiple Sclerosis Research Studies (19 papers), Genetic Associations and Epidemiology (9 papers) and Glaucoma and retinal disorders (8 papers). Jac Charlesworth collaborates with scholars based in Australia, United States and China. Jac Charlesworth's co-authors include John Blangero, Thomas D. Dyer, Joanne E. Curran, Laura Almasy, Harald H.H. Göring, Matthew P. Johnson, Bruce Taylor, Eric K. Moses, Jack W. Kent and Ingrid van der Mei and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Genetics and PLoS ONE.

In The Last Decade

Jac Charlesworth

63 papers receiving 1.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jac Charlesworth Australia 26 721 523 306 264 229 66 1.9k
Antonio Agostino Sinisi Italy 36 639 0.9× 584 1.1× 311 1.0× 82 0.3× 103 0.4× 118 3.3k
Thomas F. Wienker Germany 32 1.9k 2.7× 755 1.4× 99 0.3× 165 0.6× 462 2.0× 79 4.1k
G. Bragi Walters Iceland 13 975 1.4× 812 1.6× 162 0.5× 238 0.9× 53 0.2× 20 2.1k
John P. Kemp United Kingdom 26 592 0.8× 871 1.7× 110 0.4× 112 0.4× 66 0.3× 47 2.0k
Andrew D. Skol United States 23 762 1.1× 948 1.8× 190 0.6× 105 0.4× 251 1.1× 56 2.3k
Pascale Cervera France 26 1.4k 2.0× 285 0.5× 302 1.0× 158 0.6× 109 0.5× 69 3.8k
G. R. Merriam United States 24 610 0.8× 567 1.1× 106 0.3× 229 0.9× 209 0.9× 57 3.5k
Donald R. Johns United States 31 2.2k 3.1× 334 0.6× 414 1.4× 68 0.3× 212 0.9× 57 3.8k
F. Yesim Demirci United States 25 843 1.2× 490 0.9× 71 0.2× 146 0.6× 467 2.0× 89 2.1k
Erdogan Taskesen Netherlands 14 1.3k 1.8× 1.1k 2.0× 137 0.4× 81 0.3× 187 0.8× 20 2.8k

Countries citing papers authored by Jac Charlesworth

Since Specialization
Citations

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

Fields of papers citing papers by Jac Charlesworth

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jac Charlesworth

This figure shows the co-authorship network connecting the top 25 collaborators of Jac Charlesworth. A scholar is included among the top collaborators of Jac Charlesworth 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 Jac Charlesworth. Jac Charlesworth 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.
Blackburn, Nicholas B., Bennet J. McComish, Allan Motyer, et al.. (2025). Rare variation in neurological disease genes and its role in multiple sclerosis mimicry and phenotype. Genome Medicine. 17(1). 149–149.
2.
Charlesworth, Jac, et al.. (2024). Measuring the impact of rare diseases in Tasmania, Australia. Orphanet Journal of Rare Diseases. 19(1). 399–399.
3.
Chen, Ming, Allan Motyer, Bruce Taylor, et al.. (2024). Multiple Sclerosis Polygenic Risk Is Not Enriched in Three Multicase Families in Comparison to Population-Based Cases. Human Mutation. 2024. 1–8.
4.
Gresle, Melissa, Margaret A. Jordan, Jim Stankovich, et al.. (2020). Multiple sclerosis risk variants regulate gene expression in innate and adaptive immune cells. Life Science Alliance. 3(7). e202000650–e202000650. 27 indexed citations
5.
Lucas, Sionne E. M., Tiger Zhou, Nicholas B. Blackburn, et al.. (2018). Rare, potentially pathogenic variants in 21 keratoconus candidate genes are not enriched in cases in a large Australian cohort of European descent. PLoS ONE. 13(6). e0199178–e0199178. 28 indexed citations
6.
Zhou, Yuan, Jennifer Graves, Steve Simpson, et al.. (2017). Genetic variation in the gene LRP2 increases relapse risk in multiple sclerosis. Research Bank (Australian Catholic University). 1 indexed citations
7.
Zhou, Yuan, Steve Simpson, Jac Charlesworth, et al.. (2017). Variation within MBP gene predicts disease course in multiple sclerosis. Brain and Behavior. 7(4). e00670–e00670. 25 indexed citations
8.
FitzGerald, Liesel M., James R. Marthick, Matthew A. Field, et al.. (2017). Impact of the G84E variant on HOXB13 gene and protein expression in formalin-fixed, paraffin-embedded prostate tumours. Scientific Reports. 7(1). 17778–17778. 6 indexed citations
9.
Zhou, Yuan, Ming Chen, Steve Simpson, et al.. (2017). Common genetic variation within miR-146a predicts disease onset and relapse in multiple sclerosis. Neurological Sciences. 39(2). 297–304. 19 indexed citations
10.
Simpson, Steve, Ingrid van der Mei, Jac Charlesworth, et al.. (2016). Role of genetic susceptibility variants in predicting clinical course in multiple sclerosis: a cohort study. Journal of Neurology Neurosurgery & Psychiatry. 87(11). 1204–1211. 27 indexed citations
11.
Thomson, Russell, et al.. (2016). Comparison of pre-processing methodologies for Illumina 450k methylation array data in familial analyses. Clinical Epigenetics. 8(1). 75–75. 10 indexed citations
12.
Kent, Jack W., Harald H.H. Göring, Jac Charlesworth, et al.. (2012). Genotype×age interaction in human transcriptional ageing. Mechanisms of Ageing and Development. 133(9-10). 581–590. 19 indexed citations
13.
Bastarrachea, Raúl A., Edna J. Nava‐González, Karin Haack, et al.. (2012). Integrating Genomic Analysis with the Genetic Basis of Gene Expression: Preliminary Evidence of the Identification of Causal Genes for Cardiovascular and Metabolic Traits Related to Nutrition in Mexicans. Advances in Nutrition. 3(4). 596S–604S. 4 indexed citations
14.
Glahn, David C., Joanne E. Curran, Anderson M. Winkler, et al.. (2011). High Dimensional Endophenotype Ranking in the Search for Major Depression Risk Genes. Biological Psychiatry. 71(1). 6–14. 125 indexed citations
15.
Field, Judith, Sharon R. Browning, Laura Johnson, et al.. (2010). A Polymorphism in the HLA-DPB1 Gene Is Associated with Susceptibility to Multiple Sclerosis. PLoS ONE. 5(10). e13454–e13454. 69 indexed citations
16.
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
17.
Charlesworth, Jac, Juan M. Peralta, Eugene Drigalenko, et al.. (2009). Toward the identification of causal genes in complex diseases: a gene-centric joint test of significance combining genomic and transcriptomic data. BMC Proceedings. 3(S7). S92–S92. 21 indexed citations
18.
Curran, Joanne E., Matthew P. Johnson, Thomas D. Dyer, et al.. (2007). Genetic determinants of mitochondrial content. Human Molecular Genetics. 16(12). 1504–1514. 44 indexed citations
19.
Viel, Kevin R., Jac Charlesworth, Thomas D. Dyer, et al.. (2007). A linkage analysis of cigarette and alcohol consumption in an unselected Mexican American population. American Journal of Medical Genetics Part B Neuropsychiatric Genetics. 147B(6). 983–986. 2 indexed citations
20.
Charlesworth, Jac, et al.. (2005). Confirmation of the Adult-Onset Primary Open Angle Glaucoma Locus GLC1B at 2cen-q13 in an Australian Family. Ophthalmologica. 220(1). 23–30. 5 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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