Roger J. Daly

Active 1988–2025

97
Papers
17,943
Citations
66
h-index
94
i10-index

Citations

Citations per year for Roger J. Daly1958: 1 citations1973: 1 citations1986: 1 citations1988: 1 citations1991: 1 citations1992: 24 citations1993: 197 citations1994: 398 citations1995: 205 citations1996: 163 citations1997: 158 citations1998: 115 citations1999: 99 citations2000: 94 citations2001: 119 citations2002: 102 citations2003: 93 citations2004: 94 citations2005: 118 citations2006: 97 citations2007: 99 citations2008: 93 citations2009: 89 citations2010: 70 citations2011: 90 citations2012: 108 citations2013: 148 citations2014: 161 citations2015: 164 citations2016: 162 citations2017: 164 citations2018: 178 citations2019: 534 citations2020: 608 citations2021: 573 citations2022: 524 citations2023: 429 citations2024: 571 citations2025: 262 citations2026: 28 citations1959–1972: no citations, so these years are not shown1974–1985: no citations, so these years are not shown1987: no citations, so this year is not shown1989–1990: no citations, so these years are not shown

Citation sources

Countries

World map of the countries and regions citing this authorUnited States: 2,595 citing papers, 28.7% of this breakdownChina: 1,213 citing papers, 13.4% of this breakdownUnited Kingdom: 596 citing papers, 6.6% of this breakdownAustralia: 526 citing papers, 5.8% of this breakdownGermany: 476 citing papers, 5.3% of this breakdownJapan: 377 citing papers, 4.2% of this breakdownCanada: 373 citing papers, 4.1% of this breakdownItaly: 283 citing papers, 3.1% of this breakdownFrance: 252 citing papers, 2.8% of this breakdownSpain: 192 citing papers, 2.1% of this breakdownSouth Korea: 149 citing papers, 1.6% of this breakdownIndia: 148 citing papers, 1.6% of this breakdown
0%28.7%Other 20.7%

Fields

  • Biochemistry, Genetics and Molecular Biology56.9%
  • Medicine31.2%
  • Immunology and Microbiology3.9%
  • Neuroscience2.4%
  • Computer Science2%
  • Chemistry1.1%
  • Other2.5%

Topics

  • Protein Kinase Regulation and GTPase Signaling3.6%
  • Machine Learning in Bioinformatics3.3%
  • Pancreatic and Hepatic Oncology Research3.1%
  • Cancer Genomics and Diagnostics2.1%
  • PI3K/AKT/mTOR signaling in cancer2%
  • RNA and protein synthesis mechanisms1.9%
  • Other84%

Coauthors

All papers

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  1. iFeature: a Python package and web server for features extraction and selection from protein and peptide sequences

    Authors: , , , , , , , , , , - Bioinformatics, Bioinform. 2018 cited by 694

  2. Pancreatic cancer genomes reveal aberrations in axon guidance pathway genes

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Darrin F. Taylor, Scott Wood, Qinying Xu, Kátia Nones, J. Lynn Fink, Angelika N. Christ, Timothy J. C. Bruxner, Nicole Cloonan, Gabriel Kolle, Felicity Newell, Mark Pinese, R. Scott Mead, Jeremy L. Humphris, Warren Kaplan, Marc D. Jones, Emily K. Colvin, Adnan Nagrial, Emily S. Humphrey, Angela Chou, Venessa Chin, Lorraine A. Chantrill, Amanda Mawson, Jaswinder S. Samra, James G. Kench, Jessica A. Lovell, Roger J. Daly, Neil D. Merrett, Christopher W. Toon, Krishna Epari, Nam Q. Nguyen, Andrew P. Barbour, Nikolajs Zeps, Nipun Kakkar, Fengmei Zhao, Yuan Wu, Min Wang, Donna M. Muzny, William E. Fisher, F. Charles Brunicardi, Sally E. Hodges, Jeffrey G. Reid, Jennifer Drummond, Kyle Chang, Yi Han, Lora Lewis, Huyen Dinh, Christian Buhay, Timothy A. Beck, Lee E. Timms, Michelle Sam, Kimberly Begley, Andrew Brown, Deepa Pai, Ami Panchal, Nicholas Buchner, Richard de Borja, Robert E. Denroche, Christina K. Yung, Stefano Serra, Nicole Onetto, Debabrata Mukhopadhyay, Ming‐Sound Tsao, Patricia A. Shaw, Gloria M. Petersen, Steven Gallinger, Ralph H. Hruban, Anirban Maitra, Christine A. Iacobuzio–Donahue, Richard D. Schulick, Christopher L. Wolfgang and 27 more - Nature 2012 cited by 2,128

  3. iLearnPlus:a comprehensive and automated machine-learning platform for nucleic acid and protein sequence analysis, prediction and visualization

    Authors: , , , , , , , , , , , - Nucleic Acids Research 2021 cited by 280

  4. iLearn : an integrated platform and meta-learner for feature engineering, machine-learning analysis and modeling of DNA, RNA and protein sequence data

    Authors: , , , , , , , , , , , , , , - Briefings in Bioinformatics, Briefings Bioinform. 2019 cited by 437

  5. PTP1B Is an Intracellular Checkpoint that Limits T-cell and CAR T-cell Antitumor Immunity

    Authors: , , , , , , , , , , , , , , - Cancer Discovery 2021 cited by 137

  6. FAK signaling in human cancer as a target for therapeutics

    Authors: , , , - Pharmacology & Therapeutics 2014 cited by 453

  7. Mesenchymal Niche-Derived Neuregulin-1 Drives Intestinal Stem Cell Proliferation and Regeneration of Damaged Epithelium

    Authors: , , , , , , , , , , , , , , , , , , , , , - Cell stem cell 2020 cited by 158

  8. HNF4A and GATA6 Loss Reveals Therapeutically Actionable Subtypes in Pancreatic Cancer

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Susanna L. Cooke, Stephan B. Dreyer, Paul Grimwood, Shane Kelly, John L. Marshall, Brian McDade, Daniel L. McElroy, Donna Ramsay, Rosanna Upstill‐Goddard, Selma Rebus, Jane Hair, Nigel B. Jamieson, Colin J. McKay, Paul Westwood, Nicola Williams, Fraser R. Duthie, Andrew V. Biankin, Amber L. Johns, Amanda Mawson, David K. Chang, Christopher J. Scarlett, Mary-Anne L. Brancato, Sarah J. Rowe, Skye H. Simpson, Mona Martyn-Smith, Michelle T. Thomas, Lorraine A. Chantrill, Venessa Chin, Angela Chou, Mark J. Cowley, Jeremy L. Humphris, R. Scott Mead, Adnan Nagrial, Marina Pajic, Jessica Pettit, Mark Pinese, Ilse Rooman, Jianmin Wu, Tao Jiang, Renee DiPietro, Clare Watson, Angela Steinmann, Hong Ching Lee, Rachel Wong, Andreia V. Pinho, Marc Giry-Laterrière, Roger J. Daly, Elizabeth A. Musgrove, Robert L. Sutherland, Sean M. Grimmond, Nicola Waddell, Karin S. Kassahn, David K. Miller, Peter J. Wilson, Ann-Marie Patch, Sarah Song, Ivon Harliwong, Senel Idrisoglu, Ehsan Nourbakhsh, Suzanne Manning, Shivangi Wani, Milena Gongora, Matthew J. Anderson, Oliver Holmes, Conrad Leonard, Darrin F. Taylor, Scott Wood, Christina Xu, Kátia Nones, J. Lynn Fink and 105 more - Cell Reports 2020 cited by 127

  9. Dual-specificity phosphatases: critical regulators with diverse cellular targets

    Authors: , , , - Biochemical Journal 2009 cited by 748

  10. Cell graph neural networks enable the precise prediction of patient survival in gastric cancer

    Authors: , , , , , , , , , , , , , , , , , - npj Precision Oncology 2022 cited by 65

  11. The SH2 and SH3 domain-containing protein GRB2 links receptor tyrosine kinases to ras signaling

    Authors: , , , , , , , , , - Cell 1992 cited by 1,657

  12. FGFR3 signaling and function in triple negative breast cancer

    Authors: , , , , , , , , , - Cell Communication and Signaling 2020 cited by 77

  13. Targeting tumor heterogeneity: multiplex-detection-based multiple instance learning for whole slide image classification

    Authors: , , , , , , , , , - Bioinformatics, Bioinform. 2023 cited by 22

  14. Evaluation of FGFR targeting in breast cancer through interrogation of patient-derived models

    Authors: , , , , , , , , , , , , , , , , , , , , , - Breast Cancer Research 2021 cited by 49

  15. Proteomic Profiling of Human Prostate Cancer-associated Fibroblasts (CAF) Reveals LOXL2-dependent Regulation of the Tumor Microenvironment

    Authors: , , , , , , , , , , , , , , , , - Molecular & Cellular Proteomics 2019 cited by 104

  16. Quokka: a comprehensive tool for rapid and accurate prediction of kinase family-specific phosphorylation sites in the human proteome

    Authors: , , , , , , , , , , - Bioinformatics, Bioinform. 2018 cited by 173

  17. A distinct plasma lipid signature associated with poor prognosis in castration‐resistant prostate cancer

    Authors: , , , , , , , , , , , , , , - International Journal of Cancer 2017 cited by 83

  18. INPP4B promotes PI3Kα-dependent late endosome formation and Wnt/β-catenin signaling in breast cancer

    Authors: , , , , , , , , , , , , , , , , , , , , - Nature Communications 2021 cited by 61

  19. The kinome 'at large' in cancer

    Authors: , , , - Nature reviews. Cancer 2016 cited by 271

  20. Intravital imaging technology guides FAK-mediated priming in pancreatic cancer precision medicine according to Merlin status

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Andrew V. Biankin, Jaswinder S. Samra, Sean M. Grimmond, Angela Chou, Jacky G. Goetz, Michael S. Samuel, J. Guy Lyons, Andrew Burgess, C. Elizabeth Caldon, Lisa G. Horvath, Roger J. Daly, Nikolaj Gadegaard, Yingxiao Wang, Owen J. Sansom, Jennifer P. Morton, Thomas R. Cox, Marina Pajic, David Herrmann, Paul Timpson - Science Advances 2021 cited by 48

  21. Pediatric glioma histone H3.3 K27M/G34R mutations drive abnormalities in PML nuclear bodies

    Authors: , , , , , , , , , , , , , , , , , - Genome biology 2023 cited by 20

  22. A robust methodology to subclassify pseudokinases based on their nucleotide-binding properties

    Authors: , , , , , , , , , , , , , , , , , , , , , , , - Biochemical Journal 2013 cited by 287

  23. Circulating microRNAs are associated with docetaxel chemotherapy outcome in castration-resistant prostate cancer

    Authors: , , , , , , , , , , , , , , , - British Journal of Cancer 2014 cited by 140

  24. AXL confers cell migration and invasion by hijacking a PEAK1-regulated focal adhesion protein network

    Authors: , , , , , , , , , , , , , , , - Nature Communications 2020 cited by 61