Iris Zalaudek

Active 2003–2025

208
Papers
22,067
Citations
88
h-index
195
i10-index

Citations

Citations per year for Iris Zalaudek1981: 1 citations1985: 1 citations1992: 3 citations2000: 2 citations2001: 2 citations2004: 2 citations2005: 13 citations2006: 19 citations2007: 28 citations2008: 44 citations2009: 52 citations2010: 52 citations2011: 55 citations2012: 92 citations2013: 86 citations2014: 64 citations2015: 71 citations2016: 73 citations2017: 115 citations2018: 240 citations2019: 517 citations2020: 749 citations2021: 923 citations2022: 721 citations2023: 618 citations2024: 1,056 citations2025: 557 citations2026: 53 citations1982–1984: no citations, so these years are not shown1986–1991: no citations, so these years are not shown1993–1999: no citations, so these years are not shown2002–2003: no citations, so these years are not shown

Citation sources

Countries

World map of the countries and regions citing this authorUnited States: 1,090 citing papers, 15.2% of this breakdownItaly: 698 citing papers, 9.7% of this breakdownGermany: 490 citing papers, 6.8% of this breakdownChina: 458 citing papers, 6.4% of this breakdownUnited Kingdom: 364 citing papers, 5.1% of this breakdownAustralia: 302 citing papers, 4.2% of this breakdownSpain: 298 citing papers, 4.1% of this breakdownFrance: 267 citing papers, 3.7% of this breakdownIndia: 233 citing papers, 3.2% of this breakdownAustria: 216 citing papers, 3% of this breakdownGreece: 167 citing papers, 2.3% of this breakdownCanada: 162 citing papers, 2.3% of this breakdown
0%15.2%Other 34%

Fields

  • Medicine75.3%
  • Biochemistry, Genetics and Molecular Biology6.7%
  • Computer Science6.7%
  • Immunology and Microbiology2.9%
  • Engineering2.4%
  • Social Sciences1.1%
  • Other4.9%

Topics

  • Cutaneous Melanoma Detection and Management16.3%
  • Nonmelanoma Skin Cancer Studies9.2%
  • AI in cancer detection8.6%
  • Artificial Intelligence in Healthcare and Education3.2%
  • Skin Protection and Aging2.1%
  • Cutaneous lymphoproliferative disorders research2.1%
  • Other58.5%

Coauthors

All papers

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  1. Human–computer collaboration for skin cancer recognition

    Authors: , , , , , , , , , , , , , , , - Nature Medicine 2020 cited by 912

  2. Man against machine: diagnostic performance of a deep learning convolutional neural network for dermoscopic melanoma recognition in comparison to 58 dermatologists

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Lara‐Elena Hakim‐Meibodi, Susanne Hanner, Franziska Hartmann, Julia Hartmann, Georg Haus, Elti Hoxha, Raimonds Karls, Hiroshi Koga, Jürgen Kreusch, Aimilios Lallas, Pawel Majenka, A.A. Marghoob, Cesare Massone, Lali Mekokishvili, Dominik Mestel, Volker Meyer, Anna Neuberger, K. Nielsen, Margaret Oliviero, Riccardo Pampena, John Paoli, Erika Pawlik, Barbar Rao, Adriana Rendón, Teresa Russo, Ahmed Sadek, Kinga T. Samhaber, Roland Schneiderbauer, Anissa Schweizer, Ferdinand Toberer, Lukas Trennheuser, Lyobomira Vlahova, Alexander Wald, Julia K. Winkler, Priscila Wölbing, Iris Zalaudek - Annals of Oncology 2018 cited by 1,565

  3. Comparison of the accuracy of human readers versus machine-learning algorithms for pigmented skin lesion classification: an open, web-based, international, diagnostic study

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , - The Lancet Oncology 2019 cited by 539

  4. European consensus-based interdisciplinary guideline for melanoma. Part 1: Diagnostics: Update 2022

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , - European Journal of Cancer 2022 cited by 321

  5. A reinforcement learning model for AI-based decision support in skin cancer

    Authors: , , , , , , , , , , , , , , , , - Nature Medicine 2023 cited by 96

  6. European consensus-based interdisciplinary guideline for melanoma. Part 2: Treatment - Update 2022

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , - European Journal of Cancer 2022 cited by 287

  7. Diagnosis and treatment of basal cell carcinoma: European consensus–based interdisciplinary guidelines

    Authors: , , , , , , , , , , , , , , , , , , , , , , , - European Journal of Cancer 2019 cited by 590

  8. European consensus-based interdisciplinary guideline for diagnosis and treatment of basal cell carcinoma—update 2023

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Iris Zalaudek, Claus Garbe - European Journal of Cancer 2023 cited by 267

  9. Expert-Level Diagnosis of Nonpigmented Skin Cancer by Combined Convolutional Neural Networks

    Authors: , , , , , , , , , , , , , , , , , , , , , , - JAMA Dermatology 2018 cited by 331

  10. Epidemiology and Risk Factors of Melanoma: A Review

    Authors: , - Dermatology Practical & Conceptual 2021 cited by 185

  11. European interdisciplinary guideline on invasive squamous cell carcinoma of the skin: Part 2. Treatment

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , - European Journal of Cancer 2020 cited by 320

  12. Diagnosis and treatment of Merkel cell carcinoma: European consensus-based interdisciplinary guideline – Update 2022

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , - European Journal of Cancer 2022 cited by 174

  13. European interdisciplinary guideline on invasive squamous cell carcinoma of the skin: Part 1. epidemiology, diagnostics and prevention

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , - European Journal of Cancer 2020 cited by 240

  14. Diagnosis and treatment of invasive squamous cell carcinoma of the skin: European consensus-based interdisciplinary guideline

    Authors: , , , , , , , , , , , , , - European Journal of Cancer 2015 cited by 507

  15. Three-Point Checklist of Dermoscopy

    Authors: , , , , , , , , , , , , , - Dermatology 2004 cited by 240

  16. European consensus-based interdisciplinary guideline for invasive cutaneous squamous cell carcinoma: Part 2. Treatment - update 2026

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Petr Arenberger, Alexander M.M. Eggermont, Martin Röcken, Jean‐Jacques Grob, Paul Lorigan - European Journal of Cancer 2023 cited by 94

  17. Dermatoscopy of basal cell carcinoma: Morphologic variability of global and local features and accuracy of diagnosis

    Authors: , , , , , , , , , - Journal of the American Academy of Dermatology 2009 cited by 332

  18. Melasma treatment: a systematic review

    Authors: , , , , , , , , , , - Journal of Dermatological Treatment 2021 cited by 133

  19. Attitudes towards artificial intelligence within dermatology: an international online survey

    Authors: , , , , , , - British Journal of Dermatology 2020 cited by 92

  20. European consensus-based interdisciplinary guideline for melanoma. Part 2: Treatment – Update 2024

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Iris Zalaudek, Paul Lorigan, Mario Mandalà - European Journal of Cancer 2024 cited by 68

  21. Phase 3 study (PIVOTAL) of neoadjuvant intralesional daromun vs. immediate surgery in fully resectable melanoma with regional skin and/or nodal metastases.

    Authors: , , , , , , , , , , , , , , , , , , , - Journal of Clinical Oncology 2024 cited by 31

  22. Accuracy of dermatoscopy for the diagnosis of nonpigmented cancers of the skin

    Authors: , , , , , , , , , , , , , , , , , , , , , - Journal of the American Academy of Dermatology 2017 cited by 125

  23. Dupilumab ocular side effects in patients with atopic dermatitis: a systematic review

    Authors: , , , , , , - Journal of the European Academy of Dermatology and Venereology 2022 cited by 67

  24. Standardization of terminology in dermoscopy/dermatoscopy: Results of the third consensus conference of the International Society of Dermoscopy

    Authors: , , , , , , , , , , , , , , , , , , , , - Journal of the American Academy of Dermatology 2016 cited by 310