Jonathan Davies

651 total citations
10 papers, 263 citations indexed

About

Jonathan Davies is a scholar working on Molecular Biology, Sociology and Political Science and Developmental and Educational Psychology. According to data from OpenAlex, Jonathan Davies has authored 10 papers receiving a total of 263 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 3 papers in Sociology and Political Science and 2 papers in Developmental and Educational Psychology. Recurrent topics in Jonathan Davies's work include Epigenetics and DNA Methylation (5 papers), RNA Research and Splicing (2 papers) and Identity, Memory, and Therapy (2 papers). Jonathan Davies is often cited by papers focused on Epigenetics and DNA Methylation (5 papers), RNA Research and Splicing (2 papers) and Identity, Memory, and Therapy (2 papers). Jonathan Davies collaborates with scholars based in United Kingdom, Italy and Singapore. Jonathan Davies's co-authors include Jonathan Mill, Eilís Hannon, Joe Burrage, Leonard C. Schalkwyk, Keeley J. Brookes, Katie Lunnon, Seth Love, Kevin Morgan, Alan Thomas and Gemma Shireby and has published in prestigious journals such as Nature Communications, Brain and Cell Reports.

In The Last Decade

Jonathan Davies

6 papers receiving 259 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jonathan Davies United Kingdom 4 202 48 38 28 24 10 263
Emma Walker United Kingdom 6 154 0.8× 61 1.3× 40 1.1× 25 0.9× 28 1.2× 14 235
Aisha Dahir United Kingdom 4 114 0.6× 32 0.7× 21 0.6× 19 0.7× 14 0.6× 5 237
Lily Wang United States 6 152 0.8× 38 0.8× 46 1.2× 12 0.4× 18 0.8× 11 196
Stephen A. Semick United States 7 225 1.1× 49 1.0× 131 3.4× 20 0.7× 25 1.0× 7 317
Daniel E. Groot Canada 5 186 0.9× 76 1.6× 60 1.6× 10 0.4× 19 0.8× 6 287
Iván Méndez-López Spain 10 261 1.3× 57 1.2× 47 1.2× 11 0.4× 16 0.7× 20 344
Sabrina Sordon Germany 2 117 0.6× 41 0.9× 45 1.2× 14 0.5× 17 0.7× 3 156
Sun-Chong Wang Taiwan 4 327 1.6× 111 2.3× 130 3.4× 20 0.7× 13 0.5× 8 417
Jeff Aaronson United States 4 164 0.8× 19 0.4× 47 1.2× 10 0.4× 8 0.3× 4 183
Silvana Geracitano Italy 11 111 0.5× 104 2.2× 38 1.0× 22 0.8× 29 1.2× 18 232

Countries citing papers authored by Jonathan Davies

Since Specialization
Citations

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

Fields of papers citing papers by Jonathan Davies

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jonathan Davies

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

All Works

10 of 10 papers shown
1.
Walker, Emma, Emma Dempster, Barry A. Chioza, et al.. (2025). Guidance for the design and analysis of cell-type-specific DNA methylation epidemiology studies. Briefings in Bioinformatics. 26(4). 1 indexed citations
2.
Chioza, Barry A., Joe Burrage, Darren M. Soanes, et al.. (2025). Optimised fluorescence-activated nuclei sorting for epigenomic analysis of cortical cell types. bioRxiv (Cold Spring Harbor Laboratory).
3.
Davies, Jonathan, Nicholas E. Clifton, Rosemary A. Bamford, et al.. (2025). Cell-type-specific DNA methylation dynamics in the prenatal and postnatal human cortex. Cell Genomics. 5(12). 101010–101010.
4.
Hannon, Eilís, Emma Dempster, Jonathan Davies, et al.. (2024). Quantifying the proportion of different cell types in the human cortex using DNA methylation profiles. BMC Biology. 22(1). 17–17. 7 indexed citations
5.
Bamford, Rosemary A., Szi Kay Leung, Aaron R. Jeffries, et al.. (2023). 59. ULTRA-DEEP LONG READ TRANSCRIPTOME SEQUENCING REVEALS DRAMATIC ISOFORM DIVERSITY ACROSS HUMAN CORTEX DEVELOPMENT: RELEVANCE FOR GENETIC STUDIES OF PSYCHIATRIC DISORDERS. European Neuropsychopharmacology. 75. S88–S88.
6.
Shireby, Gemma, Emma Dempster, Rebecca G. Smith, et al.. (2022). DNA methylation signatures of Alzheimer’s disease neuropathology in the cortex are primarily driven by variation in non-neuronal cell-types. Nature Communications. 13(1). 5620–5620. 60 indexed citations
7.
Leung, Szi Kay, Aaron R. Jeffries, Isabel Castanho, et al.. (2021). Full-length transcript sequencing of human and mouse cerebral cortex identifies widespread isoform diversity and alternative splicing. Cell Reports. 37(7). 110022–110022. 84 indexed citations
8.
Shireby, Gemma, Jonathan Davies, Paul T. Francis, et al.. (2020). Recalibrating the epigenetic clock: implications for assessing biological age in the human cortex. Brain. 143(12). 3763–3775. 110 indexed citations
10.
Davies, Jonathan. (2017). Transition, abstraction and perverse concreteness in J.G. Ballard’s High-Rise. Textual Practice. 32(10). 1741–1761. 1 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026