World's Best Scientists 2026 revealed!

D-Index & Metrics

Medicine

D-Index
73
Citations
22211
World Ranking
19599
National Ranking
663

Overview

H. Peter Soyer is affiliated with the University of Queensland in Australia and has a research profile centered primarily within the field of Medicine. Their work encompasses a range of specialized subfields, including Oncology, Epidemiology, Dermatology, Artificial Intelligence, and Molecular Biology.

Their research topics span several key areas, such as:

  • Cutaneous Melanoma Detection and Management
  • AI in cancer detection
  • Nonmelanoma Skin Cancer Studies
  • Digital Imaging in Medicine
  • Skin Protection and Aging
  • Cell Image Analysis Techniques
  • Melanin and skin pigmentation

Soyer has contributed to multiple frequent publication venues, including:

  • Journal of Investigative Dermatology
  • Journal of the European Academy of Dermatology and Venereology
  • Australasian Journal of Dermatology
  • British Journal of Dermatology
  • Dermatology

The scientist collaborates regularly with several co-authors, notably Monika Janda, Brigid Betz-Stablein, Mitchell Stark, Victoria Mar, and Clare Primiero.

Recent papers authored or co-authored by Soyer carry significance in dermatology and related AI applications. Key publications include:

  • "Human-computer collaboration for skin cancer recognition," 2020, Nature Medicine
  • "A survey of clinicians on the use of artificial intelligence in ophthalmology, dermatology, radiology and radiation oncology," 2021, Scientific Reports
  • "Skin cancer classification via convolutional neural networks: systematic review of studies involving human experts," 2021, European Journal of Cancer
  • "Genome-wide association meta-analyses combining multiple risk phenotypes provide insights into the genetic architecture of cutaneous melanoma susceptibility," 2020, Nature Genetics
  • "Checklist for Evaluation of Image-Based Artificial Intelligence Reports in Dermatology," 2021, JAMA Dermatology

Best Publications

  • Dermoscopy of pigmented skin lesions: results of a consensus meeting via the Internet

    Giuseppe Argenziano;H.Peter Soyer;Sergio Chimenti;Renato Talamini

  • Nanoparticles and microparticles for skin drug delivery

    Tarl W. Prow;Jeffrey E. Grice;Lynlee L. Lin;Rokhaya Faye

  • Human–computer collaboration for skin cancer recognition

    Philipp Tschandl;Christoph Rinner;Zoe Apalla;Giuseppe Argenziano

  • Dermoscopy of pigmented skin lesions--a valuable tool for early diagnosis of melanoma.

    Giuseppe Argenziano;H Peter Soyer

  • Vascular structures in skin tumors: a dermoscopy study.

    Giuseppe Argenziano;Iris Zalaudek;Rosamaria Corona;Francesco Sera

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

    Davide Altamura;Scott W. Menzies;Giuseppe Argenziano;Iris Zalaudek

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

    Philipp Tschandl;Noel Codella;Bengü Nisa Akay;Giuseppe Argenziano

  • Interactive atlas of dermoscopy

    Giuseppe Argenziano;H. Peter Soyer;Vincenzo De Giorgio;Domenico Piccolo

  • A patient-centric dataset of images and metadata for identifying melanomas using clinical context

    Veronica Rotemberg;Nicholas Kurtansky;Brigid Betz-Stablein;Liam Caffery

  • Dermoscopy Improves Accuracy of Primary Care Physicians to Triage Lesions Suggestive of Skin Cancer

    Giuseppe Argenziano;Susana Puig;Iris Zalaudek;Francesco Sera

  • Dermoscopy in general dermatology.

    Iris Zalaudek;Giuseppe Argenziano;Alessandro Di Stefani;Gerardo Ferrara

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

    Harald Kittler;Ashfaq A. Marghoob;Giuseppe Argenziano;Cristina Carrera

  • Three-point checklist of dermoscopy. A new screening method for early detection of melanoma.

    H. Peter Soyer;Giuseppe Argenziano;Iris Zalaudek;Rosamaria Corona

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

    Philipp Tschandl;Philipp Tschandl;Cliff Rosendahl;Cliff Rosendahl;Bengu Nisa Akay;Giuseppe Argenziano

  • Terminology in surface microscopy. Consensus meeting of the Committee on Analytical Morphology of the Arbeitsgemeinschaft Dermatologische Forschung, Hamburg, Federal Republic of Germany, Nov. 17, 1989.

    Friedrich A. Bahmer;Peter Fritsch;Juergen Kreusch;Hubert Pehamberger

  • Teledermatology for the Diagnosis and Management of Skin Cancer: A Systematic Review.

    Anna Finnane;Kathy Dallest;Monika Janda;H. Peter Soyer

  • Automatic detection of blue-white veil and related structures in dermoscopy images

    M. Emre Celebi;Hitoshi Iyatomi;William V. Stoecker;Randy H. Moss

  • The spectrum of Spitz nevi: a clinicopathologic study of 83 cases

    Gerardo Ferrara;Giuseppe Argenziano;H. Peter Soyer;Sergio Chimenti

  • Dermoscopic classification of atypical melanocytic nevi (Clark nevi).

    Rainer Hofmann-Wellenhof;Andreas Blum;Ingrid H. Wolf;Domenico Piccolo

  • A Patient-Centric Dataset of Images and Metadata for Identifying Melanomas Using Clinical Context

    Veronica Rotemberg;Nicholas Kurtansky;Brigid Betz-Stablein;Liam Caffery

Frequent Co-Authors

Giuseppe Argenziano
Giuseppe Argenziano University of Campania "Luigi Vanvitelli"
Iris Zalaudek
Iris Zalaudek University of Trieste
Adèle C. Green
Adèle C. Green QIMR Berghofer Medical Research Institute
Helmut Kerl
Helmut Kerl University of Graz
Josep Malvehy
Josep Malvehy University of Barcelona
Richard A. Sturm
Richard A. Sturm University of Queensland
Joanne F. Aitken
Joanne F. Aitken Cancer Council Queensland
Susana Puig
Susana Puig University of Barcelona
Allan C. Halpern
Allan C. Halpern Memorial Sloan Kettering Cancer Center
Ashfaq A. Marghoob
Ashfaq A. Marghoob Memorial Sloan Kettering Cancer Center

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