Jacqueline Dickson

585 total citations
7 papers, 426 citations indexed

About

Jacqueline Dickson is a scholar working on Molecular Biology, Surgery and Small Animals. According to data from OpenAlex, Jacqueline Dickson has authored 7 papers receiving a total of 426 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 2 papers in Surgery and 1 paper in Small Animals. Recurrent topics in Jacqueline Dickson's work include Epigenetics and DNA Methylation (4 papers), Cancer-related gene regulation (3 papers) and RNA modifications and cancer (2 papers). Jacqueline Dickson is often cited by papers focused on Epigenetics and DNA Methylation (4 papers), Cancer-related gene regulation (3 papers) and RNA modifications and cancer (2 papers). Jacqueline Dickson collaborates with scholars based in United Kingdom and United States. Jacqueline Dickson's co-authors include Bernard Ramsahoye, Duncan I. Jodrell, Kenneth M. MacLeod, J. Michael Dixon, Jayne Culley, Andrew H. Sims, Duncan Sproul, David J. Harrison, Colm E. Nestor and Richard R. Meehan and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Blood.

In The Last Decade

Jacqueline Dickson

6 papers receiving 420 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jacqueline Dickson United Kingdom	6	358	78	53	50	44	7	426
Caila Ryan United States	9	385 1.1×	39 0.5×	51 1.0×	67 1.3×	12 0.3×	9	456
Irina Kholodnyuk Sweden	10	195 0.5×	83 1.1×	60 1.1×	64 1.3×	15 0.3×	18	278
Katharina Eirich Germany	6	313 0.9×	145 1.9×	83 1.6×	65 1.3×	14 0.3×	8	389
Yoshiko Munemasa Japan	9	310 0.9×	70 0.9×	57 1.1×	19 0.4×	14 0.3×	11	359
Maud Bizot France	8	380 1.1×	110 1.4×	36 0.7×	39 0.8×	13 0.3×	17	482
Svenja Leible Germany	7	366 1.0×	48 0.6×	64 1.2×	88 1.8×	10 0.2×	10	509
Angelique Lin United States	5	331 0.9×	55 0.7×	77 1.5×	70 1.4×	25 0.6×	6	418
Giorgia Montano Sweden	13	319 0.9×	45 0.6×	43 0.8×	49 1.0×	10 0.2×	17	435
Pytrick Jellema Netherlands	8	323 0.9×	50 0.6×	126 2.4×	37 0.7×	24 0.5×	12	451
Zuozhen Yang China	10	363 1.0×	72 0.9×	191 3.6×	53 1.1×	23 0.5×	40	482

Countries citing papers authored by Jacqueline Dickson

Since Specialization

Citations

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

Fields of papers citing papers by Jacqueline Dickson

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jacqueline Dickson

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

All Works

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7 of 7 papers shown

1.

Dickson, Jacqueline, Nicholas A. Kennedy, Letizia Foroni, et al.. (2015). Reliable Detection of Abl Tyrosine Kinase Domain Mutations to <1% Using NGS Data Quality Parsing and Corroboration of Overlapping Paired-End Sequences. Blood. 126(23). 4021–4021.

2.

Horne, Gillian A., Helen Stewart, Jacqueline Dickson, et al.. (2014). Nanog Requires BRD4 to Maintain Murine Embryonic Stem Cell Pluripotency and Is Suppressed by Bromodomain Inhibitor JQ1 Together with Lefty1. Stem Cells and Development. 24(7). 879–891. 39 indexed citations

3.

Sproul, Duncan, Colm E. Nestor, Jayne Culley, et al.. (2011). Transcriptionally repressed genes become aberrantly methylated and distinguish tumors of different lineages in breast cancer. Proceedings of the National Academy of Sciences. 108(11). 4364–4369. 118 indexed citations

4.

Dickson, Jacqueline, et al.. (2010). Targeting of 5-aza-2′-deoxycytidine residues by chromatin-associated DNMT1 induces proteasomal degradation of the free enzyme. Nucleic Acids Research. 38(13). 4313–4324. 128 indexed citations

5.

Dickson, Jacqueline, Humaira Gowher, Ruslan Strogantsev, et al.. (2010). VEZF1 Elements Mediate Protection from DNA Methylation. PLoS Genetics. 6(1). e1000804–e1000804. 81 indexed citations

6.

Clarke, Philip A., et al.. (2006). Gastrin Enhances the Angiogenic Potential of Endothelial Cells via Modulation of Heparin-Binding Epidermal-Like Growth Factor. Cancer Research. 66(7). 3504–3512. 39 indexed citations

7.

Dickson, Jacqueline, Anna M. Grabowska, Mohamad El‐Zaatari, J. Atherton, & Susan A. Watson. (2006). Helicobacter pylori Can Induce Heparin-Binding Epidermal Growth Factor Expression via Gastrin and Its Receptor. Cancer Research. 66(15). 7524–7531. 21 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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