Andrew E. Teschendorff

Active 2003–2025

142
Papers
28,425
Citations
88
h-index
131
i10-index

Citations

Citations per year for Andrew E. Teschendorff1969: 2 citations1977: 1 citations1988: 1 citations1989: 2 citations1993: 1 citations1998: 7 citations1999: 1 citations2000: 2 citations2001: 1 citations2003: 2 citations2005: 6 citations2006: 15 citations2007: 56 citations2008: 111 citations2009: 127 citations2010: 225 citations2011: 280 citations2012: 299 citations2013: 353 citations2014: 355 citations2015: 432 citations2016: 470 citations2017: 487 citations2018: 531 citations2019: 1,117 citations2020: 1,109 citations2021: 1,222 citations2022: 1,080 citations2023: 753 citations2024: 1,161 citations2025: 670 citations2026: 34 citations1970–1976: no citations, so these years are not shown1978–1987: no citations, so these years are not shown1990–1992: no citations, so these years are not shown1994–1997: no citations, so these years are not shown2002: no citations, so this year is not shown2004: no citations, so this year is not shown

Citation sources

Countries

World map of the countries and regions citing this authorUnited States: 3,751 citing papers, 24.8% of this breakdownChina: 1,838 citing papers, 12.1% of this breakdownUnited Kingdom: 1,420 citing papers, 9.4% of this breakdownGermany: 838 citing papers, 5.5% of this breakdownCanada: 618 citing papers, 4.1% of this breakdownItaly: 505 citing papers, 3.3% of this breakdownSpain: 476 citing papers, 3.1% of this breakdownAustralia: 474 citing papers, 3.1% of this breakdownFrance: 469 citing papers, 3.1% of this breakdownNetherlands: 445 citing papers, 2.9% of this breakdownSweden: 375 citing papers, 2.5% of this breakdownJapan: 265 citing papers, 1.8% of this breakdown
0%24.8%Other 24.3%

Fields

  • Biochemistry, Genetics and Molecular Biology66.8%
  • Medicine21.9%
  • Computer Science2.3%
  • Immunology and Microbiology2.3%
  • Neuroscience1.7%
  • Environmental Science1.3%
  • Other3.7%

Topics

  • Epigenetics and DNA Methylation12%
  • Cancer-related molecular mechanisms research3.6%
  • RNA modifications and cancer3.5%
  • Cancer Genomics and Diagnostics3.3%
  • MicroRNA in disease regulation2.8%
  • Genomics and Chromatin Dynamics2.5%
  • Other72.3%

Coauthors

All papers

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  1. Differential oestrogen receptor binding is associated with clinical outcome in breast cancer

    Authors: , , , , , , , , , , , , , , - Nature 2012 cited by 2,419

  2. DNA methylation aging clocks: challenges and recommendations

    Authors: , , , , , , , , , , , , , , , , , , , , - Genome biology 2019 cited by 1,103

  3. ChAMP: updated methylation analysis pipeline for Illumina BeadChips

    Authors: , , , , , , - Bioinformatics, Bioinform. 2017 cited by 1,219

  4. A beta-mixture quantile normalization method for correcting probe design bias in Illumina Infinium 450 k DNA methylation data

    Authors: , , , , , , - Bioinformatics, Bioinform. 2012 cited by 1,852

  5. Making sense of the ageing methylome

    Authors: , , , , - Nature Reviews Genetics 2022 cited by 274

  6. ChAMP: 450k Chip Analysis Methylation Pipeline

    Authors: , , , , , , - Bioinformatics, Bioinform. 2013 cited by 1,146

  7. Single-cell entropy for accurate estimation of differentiation potency from a cell’s transcriptome

    Authors: , - Nature Communications 2017 cited by 378

  8. Menopause accelerates biological aging

    Authors: , , , , , , , , , , , , , , , , , , - National Academy of Sciences, Proceedings of the National Academy of Sciences 2016 cited by 502

  9. Correlation of an epigenetic mitotic clock with cancer risk

    Authors: , , , , , , , , , - Genome biology 2016 cited by 350

  10. Identification of differentially methylated cell types in epigenome-wide association studies

    Authors: , , , - Nature Methods 2018 cited by 361

  11. Age-dependent DNA methylation of genes that are suppressed in stem cells is a hallmark of cancer

    Authors: , , , , , , , , , , , , , , , , , , , , - Genome Research 2010 cited by 890

  12. A comparison of epigenetic mitotic-like clocks for cancer risk prediction

    Authors: - Genome Medicine 2020 cited by 154

  13. Tumor origin detection with tissue-specific miRNA and DNA methylation markers

    Authors: , , , , - Bioinformatics, Bioinform. 2017 cited by 352

  14. A Novel Cell-Type Deconvolution Algorithm Reveals Substantial Contamination by Immune Cells in Saliva, Buccal and Cervix

    Authors: , , , , , , , , , , - Epigenomics 2018 cited by 214

  15. Data integration in the era of omics: current and future challenges

    Authors: , , , , , , , , , - BMC Systems Biology, BMC Syst. Biol. 2014 cited by 423

  16. dbDEMC 2.0: updated database of differentially expressed miRNAs in human cancers

    Authors: , , , , , , - Nucleic Acids Research, Nucleic Acids Res. 2016 cited by 353

  17. Statistical mechanics meets single-cell biology

    Authors: , - Nature Reviews Genetics 2021 cited by 124

  18. A pan-tissue DNA methylation atlas enables in silico decomposition of human tissue methylomes at cell-type resolution

    Authors: , , , , , , , , - Nature Methods 2022 cited by 107

  19. Epigenetic ageing clocks: statistical methods and emerging computational challenges

    Authors: , - Nature Reviews Genetics 2025 cited by 163

  20. eFORGE v2.0: updated analysis of cell type-specific signal in epigenomic data

    Authors: , , , , , , , , , , - Bioinformatics, Bioinform. 2019 cited by 153

  21. Cell-type heterogeneity: Why we should adjust for it in epigenome and biomarker studies

    Authors: , - Clinical Epigenetics 2022 cited by 89

  22. Quantifying the stochastic component of epigenetic aging

    Authors: , , , , , , - Nature Aging 2024 cited by 65

  23. Statistical and integrative system-level analysis of DNA methylation data

    Authors: , - Nature Reviews Genetics 2017 cited by 334

  24. A meta-analysis of immune-cell fractions at high resolution reveals novel associations with common phenotypes and health outcomes

    Authors: , , , , , , , , , , , , , , , , , - Genome Medicine 2023 cited by 73