Richard L. Wahl

Active 1983–2024

198
Papers
38,272
Citations
105
h-index
191
i10-index

Citations

Citations per year for Richard L. Wahl1967: 2 citations1974: 1 citations1984: 2 citations1985: 2 citations1986: 2 citations1987: 1 citations1988: 6 citations1990: 1 citations1991: 1 citations1992: 5 citations1993: 13 citations1994: 18 citations1995: 31 citations1996: 96 citations1997: 80 citations1998: 134 citations1999: 170 citations2000: 174 citations2001: 229 citations2002: 250 citations2003: 302 citations2004: 318 citations2005: 391 citations2006: 300 citations2007: 405 citations2008: 349 citations2009: 348 citations2010: 279 citations2011: 302 citations2012: 244 citations2013: 225 citations2014: 208 citations2015: 184 citations2016: 172 citations2017: 187 citations2018: 156 citations2019: 616 citations2020: 664 citations2021: 637 citations2022: 517 citations2023: 371 citations2024: 659 citations2025: 309 citations2026: 20 citations1968–1973: no citations, so these years are not shown1975–1983: no citations, so these years are not shown1989: no citations, so this year is not shown

Citation sources

Countries

World map of the countries and regions citing this authorUnited States: 3,081 citing papers, 28.9% of this breakdownGermany: 789 citing papers, 7.4% of this breakdownChina: 696 citing papers, 6.5% of this breakdownUnited Kingdom: 666 citing papers, 6.2% of this breakdownNetherlands: 539 citing papers, 5.1% of this breakdownItaly: 499 citing papers, 4.7% of this breakdownFrance: 450 citing papers, 4.2% of this breakdownJapan: 354 citing papers, 3.3% of this breakdownCanada: 350 citing papers, 3.3% of this breakdownSwitzerland: 322 citing papers, 3% of this breakdownAustralia: 277 citing papers, 2.6% of this breakdownBelgium: 229 citing papers, 2.1% of this breakdown
0%28.9%Other 22.7%

Fields

  • Medicine77.8%
  • Biochemistry, Genetics and Molecular Biology12.4%
  • Computer Science3.6%
  • Engineering1.6%
  • Immunology and Microbiology1%
  • Physics and Astronomy0.9%
  • Other2.7%

Topics

  • Medical Imaging Techniques and Applications10.5%
  • Radiomics and Machine Learning in Medical Imaging6.6%
  • Radiopharmaceutical Chemistry and Applications3.8%
  • Lung Cancer Diagnosis and Treatment2.4%
  • MRI in cancer diagnosis2.1%
  • Cancer, Hypoxia, and Metabolism2%
  • Other72.6%

Coauthors

All papers

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  1. From RECIST to PERCIST: Evolving Considerations for PET Response Criteria in Solid Tumors

    Authors: , , , - Journal of Nuclear Medicine 2009 cited by 3,749

  2. Practical PERCIST: A Simplified Guide to PET Response Criteria in Solid Tumors 1.0

    Authors: , , - Radiology 2016 cited by 522

  3. Dynamic whole-body PET imaging: principles, potentials and applications

    Authors: , , , , , , , , , - European Journal of Nuclear Medicine and Molecular Imaging 2018 cited by 283

  4. Recommendations on the Use of 18F-FDG PET in Oncology

    Authors: , , , , , , , , , , , , , , , - Journal of Nuclear Medicine 2008 cited by 1,089

  5. Nuclear Medicine and Artificial Intelligence: Best Practices for Evaluation (the RELAINCE Guidelines)

    Authors: , , , , , , , , , , , , , , - Journal of Nuclear Medicine 2022 cited by 108

  6. Radiotherapy and theranostics: a Lancet Oncology Commission

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , David A. Jaffray, Peter Knoll, Jolanta Kunikowska, Jason S. Lewis, Yolande Lievens, Miriam Mikhail-Lette, Dennis A. Ostwald, Jatinder Palta, Platon Peristeris, Arthur Accioly Rosa, Soha Ahmed Salem, Marcos Augusto dos Santos, Mike Sathekge, Shyam Kishore Shrivastava, Egor Titovich, Jean-Luc Urbain, Verna Vanderpuye, Richard L. Wahl, Jennifer S. Yu, Mohamed S. Zaghloul, Hongcheng Zhu, Andrew M. Scott - The Lancet Oncology 2024 cited by 120

  7. American Society of Clinical Oncology Guideline Recommendations for Sentinel Lymph Node Biopsy in Early-Stage Breast Cancer

    Authors: , , , , , , , , , , , , , , , , , , , - Journal of Clinical Oncology 2005 cited by 1,893

  8. Quantitative imaging biomarkers: A review of statistical methods for technical performance assessment

    Authors: , , , , , , , , , , , , , , , , , - Statistical Methods in Medical Research 2014 cited by 384

  9. Bacteriolytic therapy can generate a potent immune response against experimental tumors

    Authors: , , , , , , , , , , , , , , , - National Academy of Sciences, Proceedings of the National Academy of Sciences 2004 cited by 299

  10. Normal-Tissue Tolerance to Radiopharmaceutical Therapies, the Knowns and the Unknowns

    Authors: , , , , , , , - Journal of Nuclear Medicine 2021 cited by 89

  11. Metrology Standards for Quantitative Imaging Biomarkers

    Authors: , , , , , , , , , , , , - Radiology 2015 cited by 414

  12. Ethical Considerations for Artificial Intelligence in Medical Imaging: Deployment and Governance

    Authors: , , , , , , , , , , , - Journal of Nuclear Medicine 2023 cited by 51

  13. Ethical Considerations for Artificial Intelligence in Medical Imaging: Data Collection, Development, and Evaluation

    Authors: , , , , , , , , , , , - Journal of Nuclear Medicine 2023 cited by 62

  14. Brown Adipose Reporting Criteria in Imaging STudies (BARCIST 1.0): Recommendations for Standardized FDG-PET/CT Experiments in Humans

    Authors: , , , , , , , , , , , , - Cell Metabolism 2016 cited by 302

  15. Nuclear Medicine and Artificial Intelligence: Best Practices for Algorithm Development

    Authors: , , , , , , , , , , , , , , , , - Journal of Nuclear Medicine 2021 cited by 92

  16. Joint EANM/SNMMI/ANZSNM practice guidelines/procedure standards on recommended use of [18F]FDG PET/CT imaging during immunomodulatory treatments in patients with solid tumors version 1.0

    Authors: , , , , , , , , , , , , , , - European Journal of Nuclear Medicine and Molecular Imaging 2022 cited by 105

  17. Artificial Intelligence in Nuclear Medicine: Opportunities, Challenges, and Responsibilities Toward a Trustworthy Ecosystem

    Authors: , , , , , , , , , , , , , , , , , - Journal of Nuclear Medicine 2022 cited by 67

  18. Dynamic Imaging of Allogeneic Mesenchymal Stem Cells Trafficking to Myocardial Infarction

    Authors: , , , , , , , , , , , , , , , , , - Circulation 2005 cited by 603

  19. Dynamic whole-body PET parametric imaging: I. Concept, acquisition protocol optimization and clinical application

    Authors: , , , , , - Physics in Medicine and Biology 2013 cited by 257

  20. Prediction of Response to Immune Checkpoint Inhibitor Therapy Using Early-Time-Point18F-FDG PET/CT Imaging in Patients with Advanced Melanoma

    Authors: , , , , , , , , , - Journal of Nuclear Medicine 2017 cited by 248

  21. Joint EANM, SNMMI and IAEA enabling guide: how to set up a theranostics centre

    Authors: , , , , , , , , , , , , , , , - European Journal of Nuclear Medicine and Molecular Imaging 2022 cited by 69

  22. Need for objective task‐based evaluation of deep learning‐based denoising methods: A study in the context of myocardial perfusion SPECT

    Authors: , , , , , , , - Medical Physics 2023 cited by 29

  23. FDG PET/CT–based Response Assessment in Malignancies

    Authors: , , - Radiographics 2023 cited by 50

  24. Dosimetry in Clinical Radiopharmaceutical Therapy of Cancer: Practicality Versus Perfection in Current Practice

    Authors: , , , , , , , , - Journal of Nuclear Medicine 2021 cited by 44