David Garrick

6.6k total citations · 1 hit paper
61 papers, 3.7k citations indexed

About

David Garrick is a scholar working on Molecular Biology, Genetics and Hematology. According to data from OpenAlex, David Garrick has authored 61 papers receiving a total of 3.7k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Molecular Biology, 13 papers in Genetics and 10 papers in Hematology. Recurrent topics in David Garrick's work include Genomics and Chromatin Dynamics (18 papers), Epigenetics and DNA Methylation (15 papers) and Genetics and Neurodevelopmental Disorders (9 papers). David Garrick is often cited by papers focused on Genomics and Chromatin Dynamics (18 papers), Epigenetics and DNA Methylation (15 papers) and Genetics and Neurodevelopmental Disorders (9 papers). David Garrick collaborates with scholars based in United Kingdom, France and Australia. David Garrick's co-authors include Douglas R. Higgs, Emma Whitelaw, David I. K. Martin, Steven Fiering, Richard J. Gibbons, Helena Ayyub, W. G. Wood, J A Sharpe, Cristina Tufarelli and Tarra L. McDowell and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

David Garrick

54 papers receiving 3.6k citations

Hit Papers

Repeat-induced gene silencing in mammals 1998 2026 2007 2016 1998 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David Garrick United Kingdom 26 2.9k 1.2k 376 370 291 61 3.7k
Cameron S. Osborne United Kingdom 23 3.1k 1.1× 625 0.5× 318 0.8× 338 0.9× 593 2.0× 40 3.6k
Dana J. Huebert United States 8 5.0k 1.7× 833 0.7× 459 1.2× 313 0.8× 427 1.5× 8 5.5k
Niall Dillon United Kingdom 34 4.4k 1.5× 996 0.8× 212 0.6× 523 1.4× 706 2.4× 64 5.1k
Joan Boyes United Kingdom 15 2.7k 0.9× 694 0.6× 211 0.6× 383 1.0× 220 0.8× 29 3.2k
G. Grant Welstead United States 15 4.6k 1.6× 905 0.7× 512 1.4× 712 1.9× 241 0.8× 22 5.6k
Michael Kamal United States 12 5.6k 2.0× 898 0.7× 537 1.4× 367 1.0× 486 1.7× 16 6.6k
P.N. Goodfellow United Kingdom 29 2.9k 1.0× 1.7k 1.4× 744 2.0× 386 1.0× 388 1.3× 54 4.0k
Mikhail Spivakov United Kingdom 29 4.1k 1.4× 700 0.6× 388 1.0× 1.1k 2.9× 579 2.0× 39 5.1k
Shelagh Boyle United Kingdom 30 5.1k 1.8× 933 0.8× 243 0.6× 269 0.7× 1.2k 4.0× 53 5.7k
Adam Shlien Canada 22 1.9k 0.7× 1.4k 1.2× 639 1.7× 150 0.4× 320 1.1× 62 3.4k

Countries citing papers authored by David Garrick

Since Specialization
Citations

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

Fields of papers citing papers by David Garrick

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Garrick

This figure shows the co-authorship network connecting the top 25 collaborators of David Garrick. A scholar is included among the top collaborators of David Garrick 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 David Garrick. David Garrick 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
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3.
Singh, Vijay Pal, David Garrick, Adam Barker, et al.. (2023). Universal scaling of the dynamic BKT transition in quenched 2D Bose gases. Science. 382(6669). 443–447. 15 indexed citations
4.
Choisy, Caroline, Stéphanie Harel, Bruno Royer, et al.. (2022). CAR‐T cells derived from multiple myeloma patients at diagnosis have improved cytotoxic functions compared to those produced at relapse or following daratumumab treatment. SHILAP Revista de lepidopterología. 3(3). 970–974. 21 indexed citations
5.
Talbot, Alexis, Caroline Choisy, Julien Lion, et al.. (2021). Correction to: The long non-coding RNA CRNDE regulates growth of multiple myeloma cells via an effect on IL6 signaling. Leukemia. 35(7). 2138–2138. 2 indexed citations
6.
Talbot, Alexis, Caroline Choisy, Julien Lion, et al.. (2020). The long non-coding RNA CRNDE regulates growth of multiple myeloma cells via an effect on IL6 signalling. Leukemia. 35(6). 1710–1721. 36 indexed citations
7.
Talbot, Alexis, Wendy Cuccuini, Jean‐Paul Fermand, et al.. (2017). Implication of the Long Non-Coding RNA Crnde in Multiple Myeloma. Blood. 130. 4357–4357. 1 indexed citations
8.
Jeziorska, Danuta M., Robert Murray, Marco De Gobbi, et al.. (2017). DNA methylation of intragenic CpG islands depends on their transcriptional activity during differentiation and disease. Proceedings of the National Academy of Sciences. 114(36). E7526–E7535. 105 indexed citations
9.
Kowalczyk, Monika S., Jim R. Hughes, David Garrick, et al.. (2012). Intragenic Enhancers Act as Alternative Promoters. Molecular Cell. 45(4). 447–458. 194 indexed citations
10.
Lower, Karen M., Jim R. Hughes, Marco De Gobbi, et al.. (2009). Adventitious changes in long-range gene expression caused by polymorphic structural variation and promoter competition. Proceedings of the National Academy of Sciences. 106(51). 21771–21776. 74 indexed citations
11.
Sloane-Stanley, Jacqueline A., Helena Ayyub, A. D. Stephens, et al.. (2007). A 16.5 kb deletion in the alpha globin cluster associated with an extremely mild phenotype. British Journal of Haematology. 137. 33–33. 1 indexed citations
12.
Muers, Mary, Jacqueline A. Sharpe, David Garrick, et al.. (2007). Defining the Cause of Skewed X-Chromosome Inactivation in X-Linked Mental Retardation by Use of a Mouse Model. The American Journal of Human Genetics. 80(6). 1138–1149. 24 indexed citations
13.
Bérubé, Nathalie G., Marie Mangelsdorf, Jacqueline L. Vanderluit, et al.. (2005). The chromatin-remodeling protein ATRX is critical for neuronal survival during corticogenesis. Journal of Clinical Investigation. 115(2). 258–267. 159 indexed citations
14.
Higgs, Douglas R., David Garrick, Eduardo Anguita, et al.. (2005). Understanding α‐Globin Gene Regulation: Aiming to Improve the Management of Thalassemia. Annals of the New York Academy of Sciences. 1054(1). 92–102. 34 indexed citations
15.
Gibbons, Richard J., Andrea Pellagatti, David Garrick, et al.. (2003). Identification of acquired somatic mutations in the gene encoding chromatin-remodeling factor ATRX in the α-thalassemia myelodysplasia syndrome (ATMDS). Nature Genetics. 34(4). 446–449. 97 indexed citations
16.
Tufarelli, Cristina, David Garrick, J A Sharpe, et al.. (2003). Transcription of antisense RNA leading to gene silencing and methylation as a novel cause of human genetic disease. Nature Genetics. 34(2). 157–165. 415 indexed citations
17.
Whitelaw, Emma, et al.. (2003). Epigenetic Effects on Transgene Expression. Humana Press eBooks. 158. 351–368. 30 indexed citations
18.
Boswell, James, et al.. (1986). The correspondence of James Boswell with David Garrick, Edmund Burke, and Edmond Malone. McGraw-Hill eBooks.
19.
Garrick, David, et al.. (1981). Garrick's adaptations of Shakespeare. 2 indexed citations
20.
Addison, Joseph, et al.. (1974). The beggar's opera and other eighteenth-century plays. 6 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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