P. J. van Diest

Active 1989–2025

Also published as
P J van Diest · P.J. van Diest
244
Papers
28,334
Citations
99
h-index
228
i10-index

Citations

Citations per year for P. J. van Diest1963: 1 citations1990: 2 citations1991: 1 citations1992: 4 citations1993: 3 citations1994: 8 citations1995: 17 citations1996: 10 citations1997: 18 citations1998: 37 citations1999: 72 citations2000: 94 citations2001: 130 citations2002: 162 citations2003: 183 citations2004: 187 citations2005: 235 citations2006: 209 citations2007: 218 citations2008: 229 citations2009: 179 citations2010: 209 citations2011: 219 citations2012: 217 citations2013: 230 citations2014: 230 citations2015: 231 citations2016: 226 citations2017: 270 citations2018: 214 citations2019: 618 citations2020: 817 citations2021: 851 citations2022: 651 citations2023: 577 citations2024: 916 citations2025: 409 citations2026: 32 citations1964–1989: no citations, so these years are not shown

Citation sources

Countries

World map of the countries and regions citing this authorUnited States: 2,934 citing papers, 24.6% of this breakdownChina: 1,021 citing papers, 8.5% of this breakdownNetherlands: 924 citing papers, 7.7% of this breakdownUnited Kingdom: 876 citing papers, 7.3% of this breakdownGermany: 586 citing papers, 4.9% of this breakdownItaly: 543 citing papers, 4.5% of this breakdownCanada: 428 citing papers, 3.6% of this breakdownFrance: 356 citing papers, 3% of this breakdownAustralia: 313 citing papers, 2.6% of this breakdownJapan: 299 citing papers, 2.5% of this breakdownSpain: 282 citing papers, 2.4% of this breakdownIndia: 236 citing papers, 2% of this breakdown
0%24.6%Other 26.4%

Fields

  • Medicine42.2%
  • Biochemistry, Genetics and Molecular Biology35.9%
  • Computer Science12.8%
  • Engineering3.3%
  • Immunology and Microbiology1.9%
  • Psychology0.8%
  • Other3.1%

Topics

  • AI in cancer detection5.6%
  • Breast Cancer Treatment Studies5.1%
  • Cancer Cells and Metastasis3.2%
  • Breast Lesions and Carcinomas2.9%
  • Radiomics and Machine Learning in Medical Imaging2.8%
  • Cancer, Hypoxia, and Metabolism2.8%
  • Other77.6%

Coauthors

All papers

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  1. An organoid platform for ovarian cancer captures intra- and interpatient heterogeneity

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Hans Clevers - Nature Medicine 2019 cited by 839

  2. Supplemental MRI Screening for Women with Extremely Dense Breast Tissue

    Authors: , , , , , , , , , , , , , , , , , , , - New England Journal of Medicine 2019 cited by 696

  3. Deep learning-based breast cancer grading and survival analysis on whole-slide histopathology images

    Authors: , , , , , , , - Scientific Reports 2022 cited by 103

  4. Spatial collagen stiffening promotes collective breast cancer cell invasion by reinforcing extracellular matrix alignment

    Authors: , , , , , , , , , , - Oncogene 2022 cited by 148

  5. Supplemental Breast MRI for Women with Extremely Dense Breasts: Results of the Second Screening Round of the DENSE Trial

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , M.A. Fernandez-Gallardo, Willem P.Th.M. Mali, Maurice A. A. J. van den Bosch, P. J. van Diest, Ritse M. Mann, Roel Mus, Mechli Imhof-Tas, Nico Karssemeijer, Claudette E. Loo, Petra K. de Koekkoek‐Doll, H.A.O. Winter-Warnars, Raf Bisschops, Marc C. J. M. Kock, Rasmus K. Storm, P H M van der Valk, Marc B. I. Lobbes, Suzanne Gommers, Marc B. I. Lobbes, Mathijn de Jong, Matthieu Rutten, Katya M. Duvivier, Pim de Graaf, Jeroen Veltman, R. L. J. H. Bourez, Harry J. de Koning - Radiology 2021 cited by 177

  6. Automatic Nuclei Segmentation in H&E Stained Breast Cancer Histopathology Images

    Authors: , , , , , - PLoS ONE 2013 cited by 365

  7. Prognostic Value of Stromal Tumor-Infiltrating Lymphocytes in Young, Node-Negative, Triple-Negative Breast Cancer Patients Who Did Not Receive (neo)Adjuvant Systemic Therapy

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , P. J. van Diest - 2022 cited by 103

  8. Digital pathology: current status and future perspectives

    Authors: , , - Histopathology 2011 cited by 364

  9. A comprehensive multi-domain dataset for mitotic figure detection

    Authors: , , , , , , , , , , , - Scientific Data 2023 cited by 61

  10. Targeting DDX3 with a small molecule inhibitor for lung cancer therapy

    Authors: , , , , , , , , , , , , , , , , , , , , , , - EMBO Molecular Medicine 2015 cited by 218

  11. Artificial intelligence applied to breast pathology

    Authors: , , , , , , , - Archiv für Pathologische Anatomie und Physiologie und für Klinische Medicin 2021 cited by 85

  12. The estimation of tumor cell percentage for molecular testing by pathologists is not accurate

    Authors: , , , , , , , , , , - Modern Pathology 2013 cited by 213

  13. Evaluating the benefits of digital pathology implementation: time savings in laboratory logistics

    Authors: , , , , , - Histopathology 2018 cited by 129

  14. Receptor Conversion in Distant Breast Cancer Metastases: A Systematic Review and Meta-analysis

    Authors: , , , , , - JNCI Journal of the National Cancer Institute 2017 cited by 302

  15. Diagnostic Accuracy of Radioactive Iodine Seed Placement in the Axilla With Sentinel Lymph Node Biopsy After Neoadjuvant Chemotherapy in Node-Positive Breast Cancer

    Authors: , , , , , , , , , , , , , , , , , , , , , - JAMA Surgery 2022 cited by 92

  16. Tumor-Specific Uptake of Fluorescent Bevacizumab–IRDye800CW Microdosing in Patients with Primary Breast Cancer: A Phase I Feasibility Study

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , - Clinical Cancer Research 2016 cited by 285

  17. Clinical significance and molecular annotation of cellular morphometric subtypes in lower-grade gliomas discovered by machine learning

    Authors: , , , , , , , , , , , , , , - Neuro-Oncology 2022 cited by 57

  18. Pros and cons of artificial intelligence implementation in diagnostic pathology

    Authors: , , , , , , , , - Histopathology 2024 cited by 37

  19. Dysplastic changes in prophylactically removed Fallopian tubes of women predisposed to developing ovarian cancer

    Authors: , , , , , , , , , , - The Journal of Pathology 2001 cited by 791

  20. Mitosis Counting in Breast Cancer: Object-Level Interobserver Agreement and Comparison to an Automatic Method

    Authors: , , , , - PLoS ONE 2016 cited by 134

  21. Nanobody-targeted photodynamic therapy induces significant tumor regression of trastuzumab-resistant HER2-positive breast cancer, after a single treatment session

    Authors: , , , , , , , , , , - Journal of Controlled Release 2020 cited by 75

  22. Inter‐observer agreement for the histological diagnosis of invasive lobular breast carcinoma

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Enrico Pelz, Mieke Raap, Alberto Ravarino, Tanja Reineke‐Plaaß, Nora Schaumann, Anne‐Marie Schelfhout, Maxim De Schepper, Jérôme Schlué, Koen Van de Vijver, Wim Waelput, Axel Wellmann, Monika Graeser, Oleg Gluz, Sherko Küemmel, Ulrike Nitz, Nadia Harbeck, Christine Desmedt, Giuseppe Floris, Patrick W.B. Derksen, P. J. van Diest, Anne Vincent‐Salomon, Hans Kreipe - The Journal of Pathology Clinical Research 2021 cited by 50

  23. A YAP-centered mechanotransduction loop drives collective breast cancer cell invasion

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , - Nature Communications 2024 cited by 44

  24. Results of a worldwide survey on the currently used histopathological diagnostic criteria for invasive lobular breast cancer

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Patrick W.B. Derksen, Giuseppe Floris, Christine Desmedt - Modern Pathology 2022 cited by 42