James Eales

2.1k total citations
28 papers, 586 citations indexed

About

James Eales is a scholar working on Molecular Biology, Genetics and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, James Eales has authored 28 papers receiving a total of 586 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 11 papers in Genetics and 5 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in James Eales's work include Biomedical Text Mining and Ontologies (6 papers), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (6 papers) and Genetic Associations and Epidemiology (5 papers). James Eales is often cited by papers focused on Biomedical Text Mining and Ontologies (6 papers), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (6 papers) and Genetic Associations and Epidemiology (5 papers). James Eales collaborates with scholars based in United Kingdom, Australia and Poland. James Eales's co-authors include Maciej Tomaszewski, Fadi J. Charchar, Xiaoguang Xu, Robert Stevens, Petra Zürbig, Harald Mischak, Julie Klein, Antonia Vlahou, Artur Akbarov and Joshua Rowland and has published in prestigious journals such as ACS Nano, Scientific Reports and Kidney International.

In The Last Decade

James Eales

27 papers receiving 571 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
James Eales United Kingdom 13 276 166 85 61 44 28 586
Mark E. Brady United Kingdom 10 460 1.7× 171 1.0× 56 0.7× 24 0.4× 17 0.4× 17 732
Daniel Helbling United States 12 417 1.5× 72 0.4× 189 2.2× 61 1.0× 54 1.2× 21 689
Yangzhige He China 10 288 1.0× 53 0.3× 97 1.1× 56 0.9× 62 1.4× 21 527
Sarah Eckenrode United States 12 315 1.1× 188 1.1× 29 0.3× 182 3.0× 66 1.5× 17 680
Anastasia Meshcheryakova Austria 15 381 1.4× 49 0.3× 105 1.2× 228 3.7× 50 1.1× 30 771
Rachel Lorier United States 10 363 1.3× 124 0.7× 56 0.7× 247 4.0× 33 0.8× 13 698
Vasiliki Lygirou Greece 14 241 0.9× 22 0.1× 93 1.1× 38 0.6× 49 1.1× 29 451
Ulrich Tschulena Germany 13 524 1.9× 53 0.3× 314 3.7× 88 1.4× 39 0.9× 23 862
Tze‐Kiong Er Taiwan 17 390 1.4× 57 0.3× 123 1.4× 67 1.1× 31 0.7× 56 838

Countries citing papers authored by James Eales

Since Specialization
Citations

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

Fields of papers citing papers by James Eales

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of James Eales

This figure shows the co-authorship network connecting the top 25 collaborators of James Eales. A scholar is included among the top collaborators of James Eales 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 James Eales. James Eales 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.
Eales, James, Xiaoguang Xu, Rita Neumann, et al.. (2025). Multiple origins and phenotypic implications of an extended human pseudoautosomal region shown by analysis of the UK Biobank. The American Journal of Human Genetics. 112(4). 927–939.
2.
Eales, James, et al.. (2022). Telomere Therapy for Chronic Kidney Disease. Epigenomics. 14(17). 1039–1054. 12 indexed citations
3.
Eales, James, Paul Human, John Lawrenson, et al.. (2022). Investigation of Copy Number Variation in South African Patients With Congenital Heart Defects. Circulation Genomic and Precision Medicine. 15(6). e003510–e003510. 5 indexed citations
4.
Tomaszewski, Maciej, Andrew P. Morris, Joanna M. M. Howson, et al.. (2022). Kidney omics in hypertension: from statistical associations to biological mechanisms and clinical applications. Kidney International. 102(3). 492–505. 8 indexed citations
5.
Watts, Jeremy, et al.. (2022). Adapting Random Forests to Predict Obesity-Associated Gene Expression. 2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC). 2022. 4407–4410. 1 indexed citations
6.
Xu, Xiaoguang, James Eales, Xiao Jiang, et al.. (2021). Contributions of obesity to kidney health and disease: insights from Mendelian randomization and the human kidney transcriptomics. Cardiovascular Research. 118(15). 3151–3161. 22 indexed citations
7.
Rowland, Joshua, Artur Akbarov, James Eales, et al.. (2019). Uncovering genetic mechanisms of kidney aging through transcriptomics, genomics, and epigenomics. Kidney International. 95(3). 624–635. 35 indexed citations
8.
Rowland, Joshua, et al.. (2018). Tick-Tock Chimes the Kidney Clock – from Biology of Renal Ageing to Clinical Applications. Kidney & Blood Pressure Research. 43(1). 55–67. 12 indexed citations
9.
Haitjema, Saskia, Daniel Kofink, Jessica van Setten, et al.. (2017). Loss of Y Chromosome in Blood Is Associated With Major Cardiovascular Events During Follow-Up in Men After Carotid Endarterectomy. Circulation Cardiovascular Genetics. 10(4). e001544–e001544. 70 indexed citations
10.
Myers, Stephen, et al.. (2017). A Novel Y-Specific Long Non-Coding RNA Associated with Cellular Lipid Accumulation in HepG2 cells and Atherosclerosis-related Genes. Scientific Reports. 7(1). 16710–16710. 33 indexed citations
11.
Eales, James, Artur Akbarov, Joshua Rowland, et al.. (2017). The Y chromosome: a blueprint for men’s health?. European Journal of Human Genetics. 25(11). 1181–1188. 90 indexed citations
12.
Haitjema, Saskia, Jessica van Setten, James Eales, et al.. (2017). Genetic variation within the Y chromosome is not associated with histological characteristics of the atherosclerotic carotid artery or aneurysmal wall. Atherosclerosis. 259. 114–119. 6 indexed citations
13.
Marques, Francine Z., Simon P.R. Romaine, Matthew Denniff, et al.. (2015). Signatures of miR-181a on the Renal Transcriptome and Blood Pressure. Molecular Medicine. 21(1). 739–748. 35 indexed citations
14.
Dunlop, Ian, Steve Pettifer, Alasdair J. G. Gray, et al.. (2013). Open PHACTS Explorer Bringing the web to the semantic web. Research Explorer (The University of Manchester). 1 indexed citations
15.
Bloomer, Lisa D.S., Christopher P. Nelson, James Eales, et al.. (2013). Male-Specific Region of the Y Chromosome and Cardiovascular Risk. Arteriosclerosis Thrombosis and Vascular Biology. 33(7). 1722–1727. 57 indexed citations
16.
Klein, Julie, James Eales, Petra Zürbig, et al.. (2013). Proteasix: A tool for automated and large‐scale prediction of proteases involved in naturally occurring peptide generation. PROTEOMICS. 13(7). 1077–1082. 95 indexed citations
17.
Afzal, Hammad, James Eales, Robert Stevens, & Goran Nenadić. (2011). Mining semantic networks of bioinformatics e-resources from the literature. Journal of Biomedical Semantics. 2(S1). S4–S4. 4 indexed citations
18.
Afzal, Hammad, James Eales, Robert Stevens, & Goran Nenadić. (2009). Mining semantic networks of bioinformatics e-resources from the literature. Research Explorer (The University of Manchester). 1 indexed citations
19.
Eales, James, et al.. (2008). Full-Text Mining: Linking Practice, Protocols and Articles in Biological Research. Research Explorer (The University of Manchester). 4 indexed citations
20.
Eales, James, John W. Pinney, Robert Stevens, & David L. Robertson. (2008). Methodology capture: discriminating between the "best" and the rest of community practice. BMC Bioinformatics. 9(1). 359–359. 16 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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