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Mitchell D. Schnall

Active 1985–2024

138
Papers
28,462
Citations
88
h-index
128
i10-index

Citations

Citations per year for Mitchell D. Schnall1967: 1 citations1986: 2 citations1988: 1 citations1990: 1 citations1991: 3 citations1992: 2 citations1993: 5 citations1994: 13 citations1995: 22 citations1996: 42 citations1997: 68 citations1998: 57 citations1999: 101 citations2000: 136 citations2001: 126 citations2002: 158 citations2003: 180 citations2004: 192 citations2005: 233 citations2006: 192 citations2007: 276 citations2008: 315 citations2009: 337 citations2010: 281 citations2011: 250 citations2012: 217 citations2013: 201 citations2014: 194 citations2015: 193 citations2016: 219 citations2017: 265 citations2018: 249 citations2019: 699 citations2020: 707 citations2021: 635 citations2022: 452 citations2023: 387 citations2024: 469 citations2025: 210 citations2026: 13 citations1968–1985: no citations, so these years are not shown1987: no citations, so this year is not shown1989: no citations, so this year is not shown

Citation sources

Countries

World map of the countries and regions citing this authorUnited States: 3,152 citing papers, 34.5% of this breakdownChina: 668 citing papers, 7.3% of this breakdownUnited Kingdom: 607 citing papers, 6.7% of this breakdownGermany: 568 citing papers, 6.2% of this breakdownItaly: 447 citing papers, 4.9% of this breakdownNetherlands: 442 citing papers, 4.8% of this breakdownCanada: 342 citing papers, 3.8% of this breakdownFrance: 260 citing papers, 2.9% of this breakdownSouth Korea: 208 citing papers, 2.3% of this breakdownJapan: 196 citing papers, 2.1% of this breakdownSwitzerland: 182 citing papers, 2% of this breakdownAustralia: 161 citing papers, 1.8% of this breakdown
0%34.5%Other 20.7%

Institutions

Fields

  • Medicine74.8%
  • Biochemistry, Genetics and Molecular Biology11.4%
  • Computer Science6.6%
  • Engineering3.8%
  • Materials Science0.8%
  • Neuroscience0.5%
  • Other2.1%

Topics

  • MRI in cancer diagnosis9.5%
  • Radiomics and Machine Learning in Medical Imaging7.3%
  • AI in cancer detection5.5%
  • Prostate Cancer Diagnosis and Treatment5.5%
  • Breast Cancer Treatment Studies4.7%
  • Advanced MRI Techniques and Applications4.3%
  • Other63.2%

Coauthors

All papers

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  1. PI-RADS Prostate Imaging – Reporting and Data System: 2015, Version 2

    Authors: Jeffrey C. Weinreb, Jelle O. Barentsz, Peter L. Choyke, F. Cornud, Masoom A. Haider, Katarzyna J. Macura, Daniel Margolis, Mitchell D. Schnall, Faina Shtern, Clare M. Tempany, Harriet C. Thoeny, Sadna Verma - European Urology 2015 cited by 2,937

  2. The National Lung Screening Trial: Overview and Study Design

    Authors: Constantine A. Gatsonis, Denise R. Aberle, Christine B. Berg, William C. Black, Timothy R. Church, Richard M. Fagerstrom, Barbara Galen, Ilana F. Gareen, Constantine Gatsonis, Jonathan Goldin, John K. Gohagan, Bruce J. Hillman, C. Carl Jaffe, Barnett S. Kramer, David A. Lynch, Pamela M. Marcus, Mitchell D. Schnall, Daniel C. Sullivan, Dorothy Sullivan - Radiology 2010 cited by 1,275

  3. Comparison of Abbreviated Breast MRI vs Digital Breast Tomosynthesis for Breast Cancer Detection Among Women With Dense Breasts Undergoing Screening

    Authors: Christopher Comstock, Constantine Gatsonis, Gillian M. Newstead, Bradley S. Snyder, Ilana F. Gareen, Jennifer T. Bergin, Habib Rahbar, Janice S. Sung, Christina Jacobs, Jennifer A. Harvey, Mary H. Nicholson, Robert C. Ward, Jacqueline Holt, Andrew D. Prather, Kathy D. Miller, Mitchell D. Schnall, Christiane Kühl - JAMA 2020 cited by 449

  4. American Cancer Society Guidelines for Breast Screening with MRI as an Adjunct to Mammography

    Authors: Debbie Saslow, C. Boetes, Wylie Burke, S.E. Harms, Martin O. Leach, Constance D. Lehman, Elizabeth A. Morris, Etta D. Pisano, Mitchell D. Schnall, S.F. Sener, Robert A. Smith, Elizabeth Warner, Yaffe Mj, Kimberly Andrews, Christy Russell, for the American Cancer Society Breast Cancer Advisory Group - CA A Cancer Journal for Clinicians 2007 cited by 2,648

  5. Neoadjuvant Chemotherapy for Breast Cancer: Functional Tumor Volume by MR Imaging Predicts Recurrence-free Survival—Results from the ACRIN 6657/CALGB 150007 I-SPY 1 TRIAL

    Authors: Nola M. Hylton, Constantine Gatsonis, Mark Rosen, Constance D. Lehman, David C. Newitt, Savannah C. Partridge, Wanda K. Bernreuter, Etta D. Pisano, Elizabeth A. Morris, Paul T. Weatherall, Sandra M. Polin, Gillian M. Newstead, Helga S. Marques, Laura J. Esserman, Mitchell D. Schnall, For the ACRIN 6657 Trial Team and I-SPY 1 TRIAL Investigators - Radiology 2015 cited by 277

  6. Locally Advanced Breast Cancer: MR Imaging for Prediction of Response to Neoadjuvant Chemotherapy—Results from ACRIN 6657/I-SPY TRIAL

    Authors: Nola M. Hylton, Jeffrey D. Blume, Wanda K. Bernreuter, Etta D. Pisano, Mark Rosen, Elizabeth A. Morris, Paul T. Weatherall, Constance D. Lehman, Gillian M. Newstead, Sandra M. Polin, Helga S. Marques, Laura J. Esserman, Mitchell D. Schnall - Radiology 2012 cited by 489

  7. First-generation clinical dual-source photon-counting CT: ultra-low-dose quantitative spectral imaging

    Authors: Leening P. Liu, Nadav Shapira, Andrew A. Chen, Russell T. Shinohara, Pooyan Sahbaee, Mitchell D. Schnall, Harold Litt, Peter B. Noël - European Radiology 2022 cited by 65

  8. Association of Digital Breast Tomosynthesis vs Digital Mammography With Cancer Detection and Recall Rates by Age and Breast Density

    Authors: Emily F. Conant, William E. Barlow, Sally D. Herschorn, Donald L. Weaver, Elisabeth F. Beaber, Anna N.A. Tosteson, Jennifer S. Haas, Kathryn P. Lowry, Natasha K. Stout, Amy Trentham‐Dietz, Roberta M. diFlorio‐Alexander, Christopher I. Li, Mitchell D. Schnall, Tracy Onega, Brian L. Sprague - JAMA Oncology 2019 cited by 209

  9. Variation in Mammographic Breast Density Assessments Among Radiologists in Clinical Practice

    Authors: Brian L. Sprague, Emily F. Conant, Tracy Onega, Michael P. Garcia, Elisabeth F. Beaber, Sally D. Herschorn, Constance D. Lehman, Anna N.A. Tosteson, Ronilda Lacson, Mitchell D. Schnall, Despina Kontos, Jennifer S. Haas, Donald L. Weaver, William E. Barlow - Annals of Internal Medicine 2016 cited by 201

  10. MRI Evaluation of the Contralateral Breast in Women with Recently Diagnosed Breast Cancer

    Authors: Constance D. Lehman, Constantine Gatsonis, Christiane Kühl, R. Edward Hendrick, Etta D. Pisano, Lucy Hanna, Sue Peacock, Stanley F. Smazal, Daniel D. Maki, Thomas B. Julian, Elizabeth R. DePeri, David A. Bluemke, Mitchell D. Schnall - New England Journal of Medicine 2007 cited by 936

  11. Clinicopathologic factors associated with false negative FDG–PET in primary breast cancer

    Authors: Rakesh Kumar, Anil Chauhan, Hongming Zhuang, Prem Chandra, Mitchell D. Schnall, Abass Alavi - Breast Cancer Research and Treatment 2006 cited by 232

  12. Imaging Phenotypes of Breast Cancer Heterogeneity in Preoperative Breast Dynamic Contrast Enhanced Magnetic Resonance Imaging (DCE-MRI) Scans Predict 10-Year Recurrence

    Authors: Rhea Chitalia, J Rowland, Elizabeth S. McDonald, Lauren Pantalone, Eric A. Cohen, Aimilia Gastounioti, Michael D. Feldman, Mitchell D. Schnall, Emily F. Conant, Despina Kontos - Clinical Cancer Research 2019 cited by 109

  13. MRI, Clinical Examination, and Mammography for Preoperative Assessment of Residual Disease and Pathologic Complete Response After Neoadjuvant Chemotherapy for Breast Cancer: ACRIN 6657 Trial

    Authors: John R. Scheel, Eunhee Kim, Savannah C. Partridge, Constance D. Lehman, Mark Rosen, Wanda K. Bernreuter, Etta D. Pisano, Helga S. Marques, Elizabeth A. Morris, Paul T. Weatherall, Sandra M. Polin, Gillian M. Newstead, Laura J. Esserman, Mitchell D. Schnall, Nola M. Hylton, for the ACRIN 6657 Trial Team and I-SPY Investigators Network - American Journal of Roentgenology 2018 cited by 128

  14. Five Consecutive Years of Screening with Digital Breast Tomosynthesis: Outcomes by Screening Year and Round

    Authors: Emily F. Conant, Samantha P. Zuckerman, Elizabeth S. McDonald, Susan P. Weinstein, Katrina E. Korhonen, J Birnbaum, Jennifer D. Tobey, Mitchell D. Schnall, Rebecca A. Hubbard - Radiology 2020 cited by 105

  15. Effectiveness of Digital Breast Tomosynthesis Compared With Digital Mammography

    Authors: Elizabeth S. McDonald, Andrew Oustimov, Susan P. Weinstein, Marie Synnestvedt, Mitchell D. Schnall, Emily F. Conant - JAMA Oncology 2016 cited by 212

  16. 1H magnetic resonance spectroscopy of 2H-to-1H exchange quantifies the dynamics of cellular metabolism in vivo

    Authors: Laurie J. Rich, Puneet Bagga, Neil Wilson, Mitchell D. Schnall, John A. Detre, Mohammad Haris, Ravinder Reddy - Nature Biomedical Engineering 2020 cited by 69

  17. Abbreviated Breast Magnetic Resonance Imaging for Supplemental Screening of Women With Dense Breasts and Average Risk

    Authors: Susan P. Weinstein, Katrina E. Korhonen, Claire Cirelli, Mitchell D. Schnall, Elizabeth S. McDonald, Austin R. Pantel, Samantha P. Zuckerman, Arijitt Borthakur, Emily F. Conant - Journal of Clinical Oncology 2020 cited by 65

  18. Screening women at high risk for breast cancer with mammography and magnetic resonance imaging

    Authors: Constance D. Lehman, Jeffrey D. Blume, Paul T. Weatherall, David Thickman, Nola Hylton, Ellen Warner, Etta D. Pisano, Stuart J. Schnitt, Constantine Gatsonis, Mitchell D. Schnall - Cancer 2005 cited by 400

  19. Conditional activation of Neu in the mammary epithelium of transgenic mice results in reversible pulmonary metastasis

    Authors: Susan E. Moody, Christopher J. Sarkisian, Kristina Hähn, Edward J. Gunther, Steven Pickup, Katherine D. Dugan, Nathalie Innocent, Robert D. Cardiff, Mitchell D. Schnall, Lewis A. Chodosh - Cancer Cell 2002 cited by 353

  20. Breast cancer screening using tomosynthesis in combination with digital mammography compared to digital mammography alone: a cohort study within the PROSPR consortium

    Authors: Emily F. Conant, Elisabeth F. Beaber, Brian L. Sprague, Sally D. Herschorn, Donald L. Weaver, Tracy Onega, Anna N.A. Tosteson, Anne Marie McCarthy, Steven P. Poplack, Jennifer S. Haas, Katrina Armstrong, Mitchell D. Schnall, William E. Barlow - Breast Cancer Research and Treatment 2016 cited by 182

  21. Utility of Diffusion-weighted Imaging to Decrease Unnecessary Biopsies Prompted by Breast MRI: A Trial of the ECOG-ACRIN Cancer Research Group (A6702)

    Authors: Habib Rahbar, Zheng Zhang, Thomas L. Chenevert, Justin Romanoff, Averi E. Kitsch, Lucy Hanna, Sara Harvey, Linda Moy, Wendy B. DeMartini, Başak E. Doğan, Wei Yang, Lilian C. Wang, Bonnie N. Joe, Karen Y. Oh, Colleen H. Neal, Elizabeth S. McDonald, Mitchell D. Schnall, Constance D. Lehman, Christopher Comstock, Savannah C. Partridge - Clinical Cancer Research 2019 cited by 141

  22. Comparison of Study Activity Times for “Full” versus “Fast MRI” for Breast Cancer Screening

    Authors: Arijitt Borthakur, Susan P. Weinstein, Mitchell D. Schnall, Emily F. Conant - Journal of the American College of Radiology 2019 cited by 42

  23. Quantification of abdominal fat from computed tomography using deep learning and its association with electronic health records in an academic biobank

    Authors: Matthew T. MacLean, Qasim Jehangir, Marijana Vujkovic, Yi-An Ko, Harold Litt, Arijitt Borthakur, Hersh Sagreiya, Mark Rosen, David A. Mankoff, Mitchell D. Schnall, Haochang Shou, Julio A. Chirinos, Scott M. Damrauer, Drew A. Torigian, Rotonya Carr, Daniel J. Rader, Walter R. Witschey - Journal of the American Medical Informatics Association, J. Am. Medical Informatics Assoc. 2021 cited by 33

  24. Diagnostic Architectural and Dynamic Features at Breast MR Imaging: Multicenter Study

    Authors: Mitchell D. Schnall, Jeffrey D. Blume, David A. Bluemke, Gia A. DeAngelis, N D DeBruhl, Steven E. Harms, Sylvia H. Heywang‐Köbrunner, Nola Hylton, Christiane Kühl, Etta D. Pisano, Petrina A. Causer, Stuart J. Schnitt, David Thickman, Carol B. Stelling, Paul T. Weatherall, Constance D. Lehman, Constantine Gatsonis - Radiology 2006 cited by 511