Jamie A. Hackett

5.6k total citations · 3 hit papers
51 papers, 3.9k citations indexed

About

Jamie A. Hackett is a scholar working on Molecular Biology, Genetics and Ecology. According to data from OpenAlex, Jamie A. Hackett has authored 51 papers receiving a total of 3.9k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Molecular Biology, 14 papers in Genetics and 9 papers in Ecology. Recurrent topics in Jamie A. Hackett's work include Epigenetics and DNA Methylation (17 papers), Pluripotent Stem Cells Research (13 papers) and Bacteriophages and microbial interactions (9 papers). Jamie A. Hackett is often cited by papers focused on Epigenetics and DNA Methylation (17 papers), Pluripotent Stem Cells Research (13 papers) and Bacteriophages and microbial interactions (9 papers). Jamie A. Hackett collaborates with scholars based in United Kingdom, Italy and Australia. Jamie A. Hackett's co-authors include M. Azim Surani, Jan J Żylicz, Caroline Lee, Sabine Dietmann, Kazuhiro Murakami, Thomas A. Down, Roopsha Sengupta, Harry G. Leitch, Stephen R. Attridge and Patrick F. Chinnery and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Jamie A. Hackett

48 papers receiving 3.8k citations

Hit Papers

Germline DNA Demethylation Dynamics and Imprint Erasure T... 2012 2026 2016 2021 2012 2015 2024 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jamie A. Hackett United Kingdom 31 3.1k 863 403 386 293 51 3.9k
Anne Boland France 34 1.8k 0.6× 2.4k 2.8× 65 0.2× 228 0.6× 939 3.2× 119 5.0k
Felipe Moreno Spain 46 4.2k 1.4× 1.7k 2.0× 65 0.2× 453 1.2× 302 1.0× 131 6.3k
J P Kraehenbühl Switzerland 38 2.0k 0.7× 441 0.5× 62 0.2× 233 0.6× 261 0.9× 66 4.4k
P. H. Vogt Germany 32 3.1k 1.0× 3.3k 3.8× 233 0.6× 83 0.2× 80 0.3× 90 4.9k
Amol C. Shetty United States 28 1.3k 0.4× 470 0.5× 105 0.3× 72 0.2× 89 0.3× 90 2.7k
James D. Murray United States 34 1.4k 0.5× 1.5k 1.7× 70 0.2× 147 0.4× 43 0.1× 121 3.1k
Emilio García García Spain 25 1.2k 0.4× 1.0k 1.2× 51 0.1× 95 0.2× 222 0.8× 183 2.4k
Patricia S. Connelly United States 28 1.4k 0.4× 221 0.3× 48 0.1× 185 0.5× 349 1.2× 38 3.2k
Kiyoshi Imaizumi Japan 23 811 0.3× 899 1.0× 382 0.9× 77 0.2× 111 0.4× 128 2.1k
François Cuzin France 39 3.9k 1.3× 2.6k 3.0× 293 0.7× 48 0.1× 107 0.4× 117 6.1k

Countries citing papers authored by Jamie A. Hackett

Since Specialization
Citations

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

Fields of papers citing papers by Jamie A. Hackett

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jamie A. Hackett. 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 Jamie A. Hackett. The network helps show where Jamie A. Hackett may publish in the future.

Co-authorship network of co-authors of Jamie A. Hackett

This figure shows the co-authorship network connecting the top 25 collaborators of Jamie A. Hackett. A scholar is included among the top collaborators of Jamie A. Hackett 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 Jamie A. Hackett. Jamie A. Hackett 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.
Dabin, Juliette, et al.. (2025). Papillomavirus-like particles as vectors for ex vivo gene therapy of the skin. Molecular Therapy — Nucleic Acids. 36(2). 102501–102501.
3.
Argaw-Denboba, Ayele, Thomas Schmidt, Monica Di Giacomo, et al.. (2024). Paternal microbiome perturbations impact offspring fitness. Nature. 629(8012). 652–659. 72 indexed citations breakdown →
4.
Munafò, Marzia, et al.. (2024). Systematic epigenome editing captures the context-dependent instructive function of chromatin modifications. Nature Genetics. 56(6). 1168–1180. 50 indexed citations
5.
Carbognin, Elena, Francesco Panariello, Elena Guerzoni, et al.. (2023). Esrrb guides naive pluripotent cells through the formative transcriptional programme. Nature Cell Biology. 25(5). 643–657. 11 indexed citations
6.
Hackett, Jamie A., et al.. (2022). Epigenetic inheritance is gated by naïve pluripotency and Dppa2. The EMBO Journal. 41(7). e108677–e108677. 16 indexed citations
7.
Gretarsson, Kristjan H. & Jamie A. Hackett. (2020). Dppa2 and Dppa4 counteract de novo methylation to establish a permissive epigenome for development. Nature Structural & Molecular Biology. 27(8). 706–716. 46 indexed citations
8.
Gretarsson, Kristjan H., et al.. (2020). Genome-Scale CRISPR Screening for Regulators of Cell Fate Transitions. Methods in molecular biology. 2214. 91–108. 2 indexed citations
9.
Maffei, Mariano, Fernanda de Castro Reis, Linda Nocchi, et al.. (2019). A ligand-based system for receptor-specific delivery of proteins. Scientific Reports. 9(1). 19214–19214. 9 indexed citations
10.
Hackett, Jamie A., Yun Huang, Ufuk Günesdogan, et al.. (2018). Tracing the transitions from pluripotency to germ cell fate with CRISPR screening. Nature Communications. 9(1). 4292–4292. 49 indexed citations
11.
Hackett, Jamie A., Toshihiro Kobayashi, Sabine Dietmann, & M. Azim Surani. (2017). Activation of Lineage Regulators and Transposable Elements across a Pluripotent Spectrum. Stem Cell Reports. 8(6). 1645–1658. 45 indexed citations
12.
Kim, Shinseog, Ufuk Günesdogan, Jan J Żylicz, et al.. (2014). PRMT5 Protects Genomic Integrity during Global DNA Demethylation in Primordial Germ Cells and Preimplantation Embryos. Molecular Cell. 56(4). 564–579. 107 indexed citations
13.
Singer, Zakary S., John Yong, Julia Tischler, et al.. (2014). Dynamic Heterogeneity and DNA Methylation in Embryonic Stem Cells. Molecular Cell. 55(2). 319–331. 214 indexed citations
14.
Hackett, Jamie A. & M. Azim Surani. (2014). Regulatory Principles of Pluripotency: From the Ground State Up. Cell stem cell. 15(4). 416–430. 282 indexed citations
15.
Hackett, Jamie A., Sabine Dietmann, Kazuhiro Murakami, et al.. (2013). Synergistic Mechanisms of DNA Demethylation during Transition to Ground-State Pluripotency. Stem Cell Reports. 1(6). 518–531. 96 indexed citations
16.
Grabole, Nils, Julia Tischler, Jamie A. Hackett, et al.. (2013). Prdm14 promotes germline fate and naive pluripotency by repressing FGF signalling and DNA methylation. EMBO Reports. 14(7). 629–637. 128 indexed citations
17.
Hackett, Jamie A., Jan J Żylicz, & M. Azim Surani. (2012). Parallel mechanisms of epigenetic reprogramming in the germline. Trends in Genetics. 28(4). 164–174. 136 indexed citations
18.
Sanford, Jeremy R., Pedro M. Coutinho, Jamie A. Hackett, et al.. (2008). Identification of Nuclear and Cytoplasmic mRNA Targets for the Shuttling Protein SF2/ASF. Publisher. 1 indexed citations
19.
Sanford, Jeremy R., Pedro M. Coutinho, Jamie A. Hackett, et al.. (2008). Identification of Nuclear and Cytoplasmic mRNA Targets for the Shuttling Protein SF2/ASF. PLoS ONE. 3(10). e3369–e3369. 93 indexed citations
20.
Hackett, Jamie A., Stephen R. Attridge, & David Rowley. (1988). Oral Immunization with Live, Avirulent fla+ Strains of Salmonella Protects Mice Against Subsequent Oral Challenge with Salmonella typhimurium. The Journal of Infectious Diseases. 157(1). 78–84. 14 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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