Martin J. Aryee

44.7k total citations · 17 hit papers
92 papers, 17.9k citations indexed

About

Martin J. Aryee is a scholar working on Molecular Biology, Genetics and Cancer Research. According to data from OpenAlex, Martin J. Aryee has authored 92 papers receiving a total of 17.9k indexed citations (citations by other indexed papers that have themselves been cited), including 78 papers in Molecular Biology, 17 papers in Genetics and 16 papers in Cancer Research. Recurrent topics in Martin J. Aryee's work include Epigenetics and DNA Methylation (34 papers), CRISPR and Genetic Engineering (19 papers) and Genomics and Chromatin Dynamics (15 papers). Martin J. Aryee is often cited by papers focused on Epigenetics and DNA Methylation (34 papers), CRISPR and Genetic Engineering (19 papers) and Genomics and Chromatin Dynamics (15 papers). Martin J. Aryee collaborates with scholars based in United States, Switzerland and Canada. Martin J. Aryee's co-authors include J. Keith Joung, Andrew P. Feinberg, Rafael A. Irizarry, Shengdar Q. Tsai, Kasper D. Hansen, Christine Ladd‐Acosta, Nathalie T. Nguyen, Andrew E. Jaffe, Héctor Corrada Bravo and Ved V. Topkar and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Martin J. Aryee

91 papers receiving 17.6k citations

Hit Papers

Minfi: a flexible and comprehensive Bioconductor package ... 2009 2026 2014 2020 2014 2014 2015 2009 2014 500 1000 1.5k 2.0k 2.5k
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. Minfi: a flexible and comprehensive Bioconductor package for the analysis of Infinium DNA methylation microarrays
    2014 2.5k citations Martin J. Aryee, Andrew E. Jaffe et al. Bioinformatics profile →
  2. GUIDE-seq enables genome-wide profiling of off-target cleavage by CRISPR-Cas nucleases
    2014 1.6k citations Shengdar Q. Tsai, Zongli Zheng et al. Nature Biotechnology profile →
  3. Engineered CRISPR-Cas9 nucleases with altered PAM specificities
    2015 1.3k citations Shengdar Q. Tsai, Ved V. Topkar et al. profile →
  4. Differential methylation of tissue- and cancer-specific CpG island shores distinguishes human induced pluripotent stem cells, embryonic stem cells and fibroblasts
    2009 867 citations Martin J. Aryee, Rafael A. Irizarry et al. Nature Genetics profile →
  5. Dimeric CRISPR RNA-guided FokI nucleases for highly specific genome editing
    2014 749 citations Shengdar Q. Tsai, Martin J. Aryee et al. Nature Biotechnology profile →
  6. Epigenome-wide association data implicate DNA methylation as an intermediary of genetic risk in rheumatoid arthritis
    2013 662 citations Martin J. Aryee, M. Daniele Fallin et al. Nature Biotechnology profile →
  7. CIRCLE-seq: a highly sensitive in vitro screen for genome-wide CRISPR–Cas9 nuclease off-targets
    2017 547 citations Shengdar Q. Tsai, Nathalie T. Nguyen et al. Nature Methods profile →
  8. Genome-wide specificities of CRISPR-Cas Cpf1 nucleases in human cells
    2016 509 citations Shengdar Q. Tsai, Nathalie T. Nguyen et al. Nature Biotechnology profile →
  9. Global Causes of Diarrheal Disease Mortality in Children <5 Years of Age: A Systematic Review
    2013 489 citations Martin J. Aryee et al. profile →
  10. Comprehensive methylome map of lineage commitment from haematopoietic progenitors
    2010 467 citations Hwa-Jin Lee, Martin J. Aryee et al. profile →
  11. Transcriptome-wide off-target RNA editing induced by CRISPR-guided DNA base editors
    2019 462 citations Sowmya Iyer, Caleb A. Lareau et al. profile →
  12. Engineered CRISPR–Cas12a variants with increased activities and improved targeting ranges for gene, epigenetic and base editing
    2019 453 citations Luca Pinello, Martin J. Aryee et al. Nature Biotechnology profile →
  13. Integrated Single-Cell Analysis Maps the Continuous Regulatory Landscape of Human Hematopoietic Differentiation
    2018 397 citations Jason D. Buenrostro, Caleb A. Lareau et al. profile →
  14. Diarrhea incidence in low- and middle-income countries in 1990 and 2010: a systematic review
    2012 369 citations Martin J. Aryee et al. profile →
  15. Lineage Tracing in Humans Enabled by Mitochondrial Mutations and Single-Cell Genomics
    2019 325 citations Leif S. Ludwig, Caleb A. Lareau et al. profile →
  16. High levels of AAV vector integration into CRISPR-induced DNA breaks
    2019 289 citations Shengdar Q. Tsai, Martin Ingelsson et al. Nature Communications profile →
  17. Feature selection and dimension reduction for single-cell RNA-Seq based on a multinomial model
    2019 257 citations F. William Townes, Stephanie C. Hicks et al. Genome biology profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Martin J. Aryee United States 50 14.7k 3.5k 1.7k 1.1k 1.1k 92 17.9k
Jianbin Wang China 52 7.5k 0.5× 2.2k 0.6× 1.1k 0.7× 309 0.3× 357 0.3× 201 11.1k
Qi Zhou China 59 9.9k 0.7× 2.1k 0.6× 1.7k 1.0× 798 0.7× 288 0.3× 428 13.6k
Marina Bibikova United States 37 9.2k 0.6× 2.6k 0.8× 1.2k 0.7× 1.3k 1.2× 744 0.7× 87 11.3k
David Cox United States 27 20.5k 1.4× 4.6k 1.3× 1.0k 0.6× 143 0.1× 213 0.2× 81 25.2k
Christoph Bock Austria 71 13.9k 0.9× 3.1k 0.9× 1.9k 1.1× 1.4k 1.3× 705 0.7× 205 18.9k
Feng Zhang China 64 9.6k 0.7× 4.8k 1.4× 3.0k 1.8× 700 0.7× 1.5k 1.4× 745 20.1k
Hao Wu United States 53 10.0k 0.7× 3.8k 1.1× 1.6k 1.0× 485 0.5× 401 0.4× 219 15.1k
Christopher Wilson United States 51 8.2k 0.6× 2.4k 0.7× 799 0.5× 130 0.1× 266 0.3× 83 12.0k
Wei Li China 51 5.5k 0.4× 1.2k 0.3× 995 0.6× 344 0.3× 582 0.6× 335 10.2k
Manuel Garber United States 35 13.9k 0.9× 1.8k 0.5× 9.7k 5.8× 269 0.3× 222 0.2× 58 17.0k

Countries citing papers authored by Martin J. Aryee

Since Specialization
Citations

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

Fields of papers citing papers by Martin J. Aryee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Martin J. Aryee. 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 Martin J. Aryee. The network helps show where Martin J. Aryee may publish in the future.

Co-authorship network of co-authors of Martin J. Aryee

This figure shows the co-authorship network connecting the top 25 collaborators of Martin J. Aryee. A scholar is included among the top collaborators of Martin J. Aryee 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 Martin J. Aryee. Martin J. Aryee 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.
Redd, Robert, Martin J. Aryee, Anna E. Marneth, et al.. (2024). Risk of bleeding in patients with essential thrombocythemia and extreme thrombocytosis. Blood Advances. 8(23). 6043–6054. 3 indexed citations
2.
Sanalkumar, Rajendran, Rui Dong, Yu‐Hang Xing, et al.. (2023). Highly connected 3D chromatin networks established by an oncogenic fusion protein shape tumor cell identity. Science Advances. 9(13). 17 indexed citations
3.
Raabe, Michael J., Chenyue Lu, Vikram Deshpande, et al.. (2023). Spatial transcriptomics reveals distinct tissue niches linked with steroid responsiveness in acute gastrointestinal GVHD. Blood. 142(21). 1831–1844.
4.
Fayad, Sarah M., Daniel Y. Kim, Karl Petri, et al.. (2022). CRISPR-Cas9 treatment partially restores amyloid-β 42/40 in human fibroblasts with the Alzheimer’s disease PSEN1 M146L mutation. Molecular Therapy — Nucleic Acids. 28. 450–461. 28 indexed citations
5.
Roh, Heejin, Corin Wagen, Eric S. Zhou, et al.. (2022). Polycomb-lamina antagonism partitions heterochromatin at the nuclear periphery. Nature Communications. 13(1). 4199–4199. 17 indexed citations
6.
Malinin, Nikolay, GaHyun Lee, Cícera R. Lazzarotto, et al.. (2021). Defining genome-wide CRISPR–Cas genome-editing nuclease activity with GUIDE-seq. Nature Protocols. 16(12). 5592–5615. 46 indexed citations
7.
Berker, Yannick, Lindsey A. Vandergrift, Piet Habbel, et al.. (2021). Screening human lung cancer with predictive models of serum magnetic resonance spectroscopy metabolomics. Proceedings of the National Academy of Sciences. 118(51). 23 indexed citations
8.
Lareau, Caleb A., Leif S. Ludwig, Christoph Muus, et al.. (2020). Massively parallel single-cell mitochondrial DNA genotyping and chromatin profiling. Nature Biotechnology. 39(4). 451–461. 178 indexed citations
9.
Lareau, Caleb A., Fabiana M. Duarte, Jennifer Chew, et al.. (2019). Droplet-based combinatorial indexing for massive-scale single-cell chromatin accessibility. Nature Biotechnology. 37(8). 916–924. 279 indexed citations
10.
Ulirsch, Jacob C., Caleb A. Lareau, Erik L. Bao, et al.. (2019). Interrogation of human hematopoiesis at single-cell and single-variant resolution. Nature Genetics. 51(4). 683–693. 102 indexed citations
11.
Townes, F. William, Stephanie C. Hicks, Martin J. Aryee, & Rafael A. Irizarry. (2019). Feature selection and dimension reduction for single-cell RNA-Seq based on a multinomial model. Genome biology. 20(1). 295–295. 257 indexed citations breakdown →
12.
Pelikan, Richard, Jennifer A. Kelly, Yao Fu, et al.. (2018). Enhancer histone-QTLs are enriched on autoimmune risk haplotypes and influence gene expression within chromatin networks. Nature Communications. 9(1). 2905–2905. 50 indexed citations
13.
Chaligné, Ronan, Federico Gaiti, Steven Kothen-Hill, et al.. (2017). Single-Cell Joint Methylomics and Transcriptomics Define the Epigenetic Evolution and Lineage Histories of Chronic Lymphocytic Leukemia. Blood. 130. 55–55. 1 indexed citations
14.
Lareau, Caleb A. & Martin J. Aryee. (2017). diffloop: a computational framework for identifying and analyzing differential DNA loops from sequencing data. Bioinformatics. 34(4). 672–674. 47 indexed citations
15.
Tang, Qin, Sowmya Iyer, Riadh Lobbardi, et al.. (2017). Dissecting hematopoietic and renal cell heterogeneity in adult zebrafish at single-cell resolution using RNA sequencing. The Journal of Experimental Medicine. 214(10). 2875–2887. 141 indexed citations
16.
Rechem, Capucine Van, Joshua C. Black, Myriam Boukhali, et al.. (2015). Lysine Demethylase KDM4A Associates with Translation Machinery and Regulates Protein Synthesis. Cancer Discovery. 5(3). 255–263. 51 indexed citations
17.
Zou, James, Christoph Lippert, David Heckerman, Martin J. Aryee, & Jennifer Listgarten. (2014). Epigenome-wide association studies without the need for cell-type composition. Nature Methods. 11(3). 309–311. 147 indexed citations
18.
Guintivano, Jerry, Martin J. Aryee, & Zachary Kaminsky. (2013). A cell epigenotype specific model for the correction of brain cellular heterogeneity bias and its application to age, brain region and major depression. Epigenetics. 8(3). 290–302. 267 indexed citations
19.
Lee, Hwa-Jin, Andrew E. Jaffe, Jason I. Feinberg, et al.. (2012). DNA methylation shows genome-wide association ofNFIX,RAPGEF2andMSRB3with gestational age at birth. International Journal of Epidemiology. 41(1). 188–199. 55 indexed citations
20.
Aryee, Martin J., Zhijin Wu, Christine Ladd‐Acosta, et al.. (2010). Accurate genome-scale percentage DNA methylation estimates from microarray data. Biostatistics. 12(2). 197–210. 58 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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