David I. K. Martin

15.0k total citations · 4 hit papers
94 papers, 11.5k citations indexed

About

David I. K. Martin is a scholar working on Molecular Biology, Genetics and Plant Science. According to data from OpenAlex, David I. K. Martin has authored 94 papers receiving a total of 11.5k indexed citations (citations by other indexed papers that have themselves been cited), including 82 papers in Molecular Biology, 25 papers in Genetics and 13 papers in Plant Science. Recurrent topics in David I. K. Martin's work include Epigenetics and DNA Methylation (31 papers), Genomics and Chromatin Dynamics (23 papers) and CRISPR and Genetic Engineering (15 papers). David I. K. Martin is often cited by papers focused on Epigenetics and DNA Methylation (31 papers), Genomics and Chromatin Dynamics (23 papers) and CRISPR and Genetic Engineering (15 papers). David I. K. Martin collaborates with scholars based in United States, Australia and United Kingdom. David I. K. Martin's co-authors include Emma Whitelaw, Steven Fiering, Stuart H. Orkin, Catherine M. Suter, Mark Groudine, Heidi G. Sutherland, Hugh D. Morgan, Shih‐Feng Tsai, Robyn L. Ward and David Garrick and has published in prestigious journals such as Nature, New England Journal of Medicine and Cell.

In The Last Decade

David I. K. Martin

93 papers receiving 11.3k citations

Hit Papers

Epigenetic inheritance at the agouti locus in the mouse 1989 2026 2001 2013 1999 1989 1998 2016 250 500 750
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Epigenetic inheritance at the agouti locus in the mouse
    1999 992 citations Heidi G. Sutherland, David I. K. Martin et al. Nature Genetics profile →
  2. Cloning of cDNA for the major DNA-binding protein of the erythroid lineage through expression in mammalian cells
    1989 849 citations David I. K. Martin et al. profile →
  3. Repeat-induced gene silencing in mammals
    1998 759 citations Steven Fiering, David I. K. Martin et al. Nature Genetics profile →
  4. Selection-free genome editing of the sickle mutation in human adult hematopoietic stem/progenitor cells
    2016 342 citations Mark A. DeWitt, Wendy Magis et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David I. K. Martin United States 52 9.1k 2.8k 1.6k 1.1k 987 94 11.5k
Frank Lyko Germany 67 13.3k 1.5× 2.4k 0.9× 2.7k 1.7× 904 0.8× 922 0.9× 161 16.4k
John M. Greally United States 53 6.8k 0.7× 2.3k 0.8× 1.0k 0.7× 579 0.5× 615 0.6× 196 9.1k
S. Steven Potter United States 60 9.2k 1.0× 3.0k 1.1× 898 0.6× 741 0.7× 1.1k 1.1× 166 12.4k
Hongcang Gu United States 36 10.5k 1.2× 2.6k 0.9× 1.2k 0.8× 528 0.5× 763 0.8× 73 12.5k
David F. Callen Australia 52 5.1k 0.6× 3.2k 1.2× 1.3k 0.8× 1.0k 0.9× 629 0.6× 265 9.6k
Dirk Schübeler Switzerland 70 17.8k 2.0× 4.3k 1.6× 1.8k 1.2× 1.6k 1.5× 902 0.9× 113 19.9k
Simon Andrews United Kingdom 54 12.4k 1.4× 3.2k 1.2× 1.4k 0.9× 1.6k 1.5× 1.2k 1.2× 109 15.1k
Paul A. Wade United States 61 11.8k 1.3× 3.0k 1.1× 1.1k 0.7× 1.0k 0.9× 954 1.0× 135 14.2k
Huck‐Hui Ng Singapore 60 19.4k 2.1× 3.6k 1.3× 1.8k 1.2× 2.1k 1.9× 909 0.9× 113 21.7k
Gerd A. Blobel United States 71 13.0k 1.4× 1.6k 0.6× 1.3k 0.9× 1.0k 0.9× 1.1k 1.1× 185 15.7k

Countries citing papers authored by David I. K. Martin

Since Specialization
Citations

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

Fields of papers citing papers by David I. K. Martin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David I. K. Martin

This figure shows the co-authorship network connecting the top 25 collaborators of David I. K. Martin. A scholar is included among the top collaborators of David I. K. Martin 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 I. K. Martin. David I. K. Martin 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.
Meijer, Hedda A., Sara Johnson, Richard P. Gallagher, et al.. (2025). NOTCH1 S2513 is critical for the regulation of NICD levels impacting the segmentation clock in hiPSC-derived PSM cells and somitoids. Genes & Development. 39(17-18). 1025–1044.
2.
Martin, David I. K., et al.. (2024). RNA Pol II–dependent transcription efficiency fine-tunes A-to-I editing levels. Genome Research. 34(2). 231–242. 3 indexed citations
3.
Magis, Wendy, K. Manjunatha Prasad, Srujan Marepally, et al.. (2024). Enhanced fetal hemoglobin production via dual-beneficial mutation editing of the HBG promoter in hematopoietic stem and progenitor cells for β-hemoglobinopathies. Stem Cell Research & Therapy. 15(1). 504–504. 1 indexed citations
4.
Shieh, Joseph T.C., K. Wong, Michal Levy‐Sakin, et al.. (2021). Application of full-genome analysis to diagnose rare monogenic disorders. npj Genomic Medicine. 6(1). 77–77. 29 indexed citations
5.
Magis, Wendy, Mark A. DeWitt, Stacia K. Wyman, et al.. (2021). High-Level Correction of the Sickle Mutation is Amplified in Vivo During Erythroid Differentiation. SSRN Electronic Journal. 1 indexed citations
6.
Licht, Konstantin, Utkarsh Kapoor, Fabian Amman, et al.. (2019). A high resolution A-to-I editing map in the mouse identifies editing events controlled by pre-mRNA splicing. Genome Research. 29(9). 1453–1463. 91 indexed citations
7.
Tan, Lin, Jennifer Perry, John W. Calvert, et al.. (2019). Redox activation of JNK2α2 mediates thyroid hormone-stimulated proliferation of neonatal murine cardiomyocytes. Scientific Reports. 9(1). 17731–17731. 17 indexed citations
8.
Naqvi, Nawazish, Ming Li, John W. Calvert, et al.. (2014). A Proliferative Burst during Preadolescence Establishes the Final Cardiomyocyte Number. Cell. 157(4). 795–807. 209 indexed citations
9.
Muñoz, Denise P., Sachiko Takayama, Jean‐Philippe Coppé, et al.. (2013). Activation-induced cytidine deaminase (AID) is necessary for the epithelial–mesenchymal transition in mammary epithelial cells. Proceedings of the National Academy of Sciences. 110(32). E2977–86. 57 indexed citations
10.
Boffelli, Dario & David I. K. Martin. (2012). Epigenetic Inheritance: A Contributor to Species Differentiation?. DNA and Cell Biology. 31(S1). S–11. 11 indexed citations
11.
Cropley, Jennifer E., Thurston H. Y. Dang, David I. K. Martin, & Catherine M. Suter. (2012). The penetrance of an epigenetic trait in mice is progressively yet reversibly increased by selection and environment. Proceedings of the Royal Society B Biological Sciences. 279(1737). 2347–2353. 45 indexed citations
12.
Li, Cheryl C. Y., Jennifer E. Cropley, Mark J. Cowley, et al.. (2011). A Sustained Dietary Change Increases Epigenetic Variation in Isogenic Mice. PLoS Genetics. 7(4). e1001380–e1001380. 58 indexed citations
13.
Martin, David I. K., Meromit Singer, Joseph M. Dhahbi, et al.. (2011). Phyloepigenomic comparison of great apes reveals a correlation between somatic and germline methylation states. Genome Research. 21(12). 2049–2057. 30 indexed citations
14.
Martin, David I. K., Jennifer E. Cropley, & Catherine M. Suter. (2011). Epigenetics in disease: Leader or follower?. Epigenetics. 6(7). 843–848. 34 indexed citations
15.
Dhahbi, Joseph M., Hani Atamna, Dario Boffelli, et al.. (2011). Deep Sequencing Reveals Novel MicroRNAs and Regulation of MicroRNA Expression during Cell Senescence. PLoS ONE. 6(5). e20509–e20509. 72 indexed citations
16.
Martin, David I. K., Robyn L. Ward, & Catherine M. Suter. (2005). Germline Epimutation: A Basis for Epigenetic Disease in Humans. Annals of the New York Academy of Sciences. 1054(1). 68–77. 32 indexed citations
17.
Suter, Catherine M., David I. K. Martin, & Robyn L. Ward. (2004). Germline epimutation of MLH1 in individuals with multiple cancers. Nature Genetics. 36(5). 497–501. 332 indexed citations
18.
Eszterhas, Susan K., Eric E. Bouhassira, David I. K. Martin, & Steven Fiering. (2002). Transcriptional Interference by Independently Regulated Genes Occurs in Any Relative Arrangement of the Genes and Is Influenced by Chromosomal Integration Position. Molecular and Cellular Biology. 22(2). 469–479. 140 indexed citations
19.
Epner, Elliot, Andreas Reik, Daniel Cimbora, et al.. (1998). The β-Globin LCR Is Not Necessary for an Open Chromatin Structure or Developmentally Regulated Transcription of the Native Mouse β-Globin Locus. Molecular Cell. 2(4). 447–455. 170 indexed citations
20.
Sutherland, Heidi G., David I. K. Martin, & Emma Whitelaw. (1997). A Globin Enhancer Acts by Increasing the Proportion of Erythrocytes Expressing a Linked Transgene. Molecular and Cellular Biology. 17(3). 1607–1614. 67 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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