Bernard Ramsahoye

7.4k total citations · 1 hit paper
38 papers, 4.3k citations indexed

About

Bernard Ramsahoye is a scholar working on Molecular Biology, Genetics and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, Bernard Ramsahoye has authored 38 papers receiving a total of 4.3k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Molecular Biology, 12 papers in Genetics and 5 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in Bernard Ramsahoye's work include Epigenetics and DNA Methylation (29 papers), Cancer-related gene regulation (9 papers) and Genomics and Chromatin Dynamics (8 papers). Bernard Ramsahoye is often cited by papers focused on Epigenetics and DNA Methylation (29 papers), Cancer-related gene regulation (9 papers) and Genomics and Chromatin Dynamics (8 papers). Bernard Ramsahoye collaborates with scholars based in United Kingdom, United States and Germany. Bernard Ramsahoye's co-authors include Rudolf Jaenisch, Frank Lyko, Adrian Bird, Detlev Biniszkiewicz, Victoria H. Clark, Nick Gilbert, Jacky Guy, Valerie Wilson, Brian Hendrich and David J. Harrison and has published in prestigious journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Bernard Ramsahoye

38 papers receiving 4.2k citations

Hit Papers

Non-CpG methylation is prevalent in embryonic stem cells ... 2000 2026 2008 2017 2000 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Bernard Ramsahoye United Kingdom 26 3.6k 1.2k 328 298 261 38 4.3k
Laura P. O’Neill United Kingdom 33 3.4k 0.9× 1.1k 0.9× 408 1.2× 344 1.2× 320 1.2× 53 4.2k
Marnie E. Blewitt Australia 30 2.7k 0.7× 1.1k 0.9× 333 1.0× 290 1.0× 307 1.2× 68 3.6k
Renata Z. Jurkowska Germany 29 4.5k 1.3× 1.1k 1.0× 308 0.9× 205 0.7× 334 1.3× 51 5.0k
Gert Jan C. Veenstra Netherlands 32 4.7k 1.3× 1.5k 1.3× 364 1.1× 375 1.3× 213 0.8× 70 5.4k
Cheryl Paul Australia 11 4.3k 1.2× 1.1k 1.0× 482 1.5× 397 1.3× 347 1.3× 13 4.9k
Richard Shen United States 15 2.4k 0.7× 1.4k 1.2× 442 1.3× 363 1.2× 300 1.1× 22 3.5k
Ilana Keshet Israel 18 3.3k 0.9× 1.1k 0.9× 289 0.9× 223 0.7× 292 1.1× 26 3.7k
Lee Edsall United States 12 4.8k 1.3× 1.2k 1.1× 532 1.6× 470 1.6× 337 1.3× 19 5.4k
Robert Andrews United Kingdom 29 3.3k 0.9× 1.1k 1.0× 545 1.7× 205 0.7× 162 0.6× 59 4.4k
Chih‐Lin Hsieh United States 33 3.6k 1.0× 988 0.9× 299 0.9× 212 0.7× 180 0.7× 77 4.2k

Countries citing papers authored by Bernard Ramsahoye

Since Specialization
Citations

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

Fields of papers citing papers by Bernard Ramsahoye

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bernard Ramsahoye

This figure shows the co-authorship network connecting the top 25 collaborators of Bernard Ramsahoye. A scholar is included among the top collaborators of Bernard Ramsahoye 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 Bernard Ramsahoye. Bernard Ramsahoye 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.
O’Brien, Stephen J., Letizia Foroni, Wendy Osborne, et al.. (2018). Spirit 2: Final 5 Year Analysis of the UK National Cancer Research Institute Randomized Study Comparing Imatinib with Dasatinib in Patients with Newly Diagnosed Chronic Phase CML. Blood. 132(Supplement 1). 457–457. 10 indexed citations
2.
Lagger, Sabine, John Connelly, Gabriele Schweikert, et al.. (2017). MeCP2 recognizes cytosine methylated tri-nucleotide and di-nucleotide sequences to tune transcription in the mammalian brain. PLoS Genetics. 13(5). e1006793–e1006793. 101 indexed citations
3.
Boteva, Lora, Dinesh C. Soares, Catherine Naughton, et al.. (2017). SAF-A Regulates Interphase Chromosome Structure through Oligomerization with Chromatin-Associated RNAs. Cell. 169(7). 1214–1227.e18. 147 indexed citations
4.
Zhang, Tuo, Jayne Culley, Flávia de Lima Alves, et al.. (2016). G9a/GLP Complex Maintains Imprinted DNA Methylation in Embryonic Stem Cells. Cell Reports. 15(1). 77–85. 84 indexed citations
5.
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
6.
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
7.
Ramsahoye, Bernard, et al.. (2008). Selective IgA deficiency and hypoplenism. Clinical & Laboratory Haematology. 16(4). 375–377. 1 indexed citations
8.
Jørgensen, Helle F., Véronique Azuara, Shannon Amoils, et al.. (2007). The impact of chromatin modifiers on the timing of locus replication in mouse embryonic stem cells. Genome biology. 8(8). R169–R169. 63 indexed citations
9.
Latham, Tom, Nick Gilbert, & Bernard Ramsahoye. (2007). DNA methylation in mouse embryonic stem cells and development. Cell and Tissue Research. 331(1). 31–55. 37 indexed citations
11.
Ramsahoye, Bernard. (2003). Nearest-Neighbor Analysis. Humana Press eBooks. 200. 9–15. 29 indexed citations
12.
Mills, Ken & Bernard Ramsahoye. (2003). Overview. Humana Press eBooks. 200. 1–7. 4 indexed citations
13.
Ramsahoye, Bernard. (2003). Measurement of Genome-Wide DNA Cytosine-5 Methylation by Reversed-Phase High-Pressure Liquid Chromatography. Humana Press eBooks. 200. 17–27. 17 indexed citations
14.
Ramsahoye, Bernard. (2002). Measurement of genome wide DNA methylation by reversed-phase high-performance liquid chromatography. Methods. 27(2). 156–161. 82 indexed citations
15.
Hendrich, Brian, Jacky Guy, Bernard Ramsahoye, Valerie Wilson, & Adrian Bird. (2001). Closely related proteins MBD2 and MBD3 play distinctive but interacting roles in mouse development. Genes & Development. 15(6). 710–723. 390 indexed citations
16.
Lyko, Frank, Bernard Ramsahoye, & Rudolf Jaenisch. (2000). DNA methylation in Drosophila melanogaster. Nature. 408(6812). 538–540. 362 indexed citations
17.
Lyko, Frank, Bernard Ramsahoye, Helena Kashevsky, et al.. (1999). Mammalian (cytosine-5) methyltransferases cause genomic DNA methylation and lethality in Drosophila. Nature Genetics. 23(3). 363–366. 163 indexed citations
18.
Ramsahoye, Bernard. (1997). Restriction endonuclease isoschizomers ItaI, BsoFI and Fsp4HI are characterised by differences in their sensitivities to CpG methylation. Nucleic Acids Research. 25(16). 3196–3198. 13 indexed citations
19.
Ramsahoye, Bernard, et al.. (1996). DNA methylation: biology and significance. Blood Reviews. 10(4). 249–261. 30 indexed citations
20.
Ramsahoye, Bernard, et al.. (1995). Lesson of the Week: The mineralocorticoid effects of high dose hydrocortisone. BMJ. 310(6980). 656–657. 7 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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