Helen Ray-Jones

528 total citations
12 papers, 201 citations indexed

About

Helen Ray-Jones is a scholar working on Molecular Biology, Immunology and Neurology. According to data from OpenAlex, Helen Ray-Jones has authored 12 papers receiving a total of 201 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 5 papers in Immunology and 4 papers in Neurology. Recurrent topics in Helen Ray-Jones's work include Neuroinflammation and Neurodegeneration Mechanisms (4 papers), Genomics and Chromatin Dynamics (4 papers) and Glycosylation and Glycoproteins Research (2 papers). Helen Ray-Jones is often cited by papers focused on Neuroinflammation and Neurodegeneration Mechanisms (4 papers), Genomics and Chromatin Dynamics (4 papers) and Glycosylation and Glycoproteins Research (2 papers). Helen Ray-Jones collaborates with scholars based in United Kingdom, United States and Netherlands. Helen Ray-Jones's co-authors include Mikhail Spivakov, Jonathan Lifshitz, Jenna M. Ziebell, Richard B. Warren, Stephen Eyre, Anne Barton, Amanda McGovern, James Ding, Gisela Orozco and Paul Martin and has published in prestigious journals such as Nature Communications, Nature Protocols and Neuroscience.

In The Last Decade

Helen Ray-Jones

12 papers receiving 199 citations

Peers

Helen Ray-Jones
Ryan O’Hara United States
David Urech Switzerland
Hyun-Jin Kim South Korea
Kevin I. Rosenberg United States
Guanglin Bian United States
Adi Minis United States
Grigorios Koulouras United Kingdom
Helen Ray-Jones
Citations per year, relative to Helen Ray-Jones Helen Ray-Jones (= 1×) peers Evi Goulielmaki

Countries citing papers authored by Helen Ray-Jones

Since Specialization
Citations

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

Fields of papers citing papers by Helen Ray-Jones

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Helen Ray-Jones. 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 Helen Ray-Jones. The network helps show where Helen Ray-Jones may publish in the future.

Co-authorship network of co-authors of Helen Ray-Jones

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

All Works

12 of 12 papers shown
1.
Ray-Jones, Helen, Changmin Sung, Frances Burden, et al.. (2025). Genetic coupling of enhancer activity and connectivity in gene expression control. Nature Communications. 16(1). 970–970. 1 indexed citations
2.
Ray-Jones, Helen, James Ding, Kate Duffus, et al.. (2021). Chromatin Looping Links Target Genes with Genetic Risk Loci for Dermatological Traits. Journal of Investigative Dermatology. 141(8). 1975–1984. 18 indexed citations
3.
Freire-Pritchett, Paula, Helen Ray-Jones, Chris Eijsbouts, et al.. (2021). Detecting chromosomal interactions in Capture Hi-C data with CHiCAGO and companion tools. Nature Protocols. 16(9). 4144–4176. 15 indexed citations
4.
Thiecke, Michiel J., et al.. (2021). Prioritisation of Candidate Genes Underpinning COVID-19 Host Genetic Traits Based on High-Resolution 3D Chromosomal Topology. Frontiers in Genetics. 12. 745672–745672. 1 indexed citations
5.
Ray-Jones, Helen & Mikhail Spivakov. (2021). Transcriptional enhancers and their communication with gene promoters. Cellular and Molecular Life Sciences. 78(19-20). 6453–6485. 33 indexed citations
6.
Ray-Jones, Helen, Kate Duffus, Amanda McGovern, et al.. (2020). Mapping DNA interaction landscapes in psoriasis susceptibility loci highlights KLF4 as a target gene in 9q31. BMC Biology. 18(1). 47–47. 19 indexed citations
7.
Martin, Paul, James Ding, Kate Duffus, et al.. (2019). Chromatin interactions reveal novel gene targets for drug repositioning in rheumatic diseases. Annals of the Rheumatic Diseases. 78(8). 1127–1134. 18 indexed citations
8.
Ziebell, Jenna M., Helen Ray-Jones, & Jonathan Lifshitz. (2017). Nogo presence is inversely associated with shifts in cortical microglial morphology following experimental diffuse brain injury. Neuroscience. 359. 209–223. 18 indexed citations
9.
Ray-Jones, Helen, Stephen Eyre, Anne Barton, & Richard B. Warren. (2016). One SNP at a Time: Moving beyond GWAS in Psoriasis. Journal of Investigative Dermatology. 136(3). 567–573. 42 indexed citations
10.
Ray-Jones, Helen, et al.. (2015). Primer for Immunohistochemistry on Cryosectioned Rat Brain Tissue: Example Staining for Microglia and Neurons. Journal of Visualized Experiments. e52293–e52293. 22 indexed citations
11.
Ray-Jones, Helen, et al.. (2015). Primer for Immunohistochemistry on Cryosectioned Rat Brain Tissue: Example Staining for Microglia and Neurons. Journal of Visualized Experiments. 10 indexed citations
12.
Ray-Jones, Helen, et al.. (2015). Microglia in Experimental Brain Injury: Implications on Neuronal Injury and Circuit Remodeling. eCite Digital Repository (University of Tasmania). 79–90. 4 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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