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Matthew B. Schabath

Active 2000–2025

142
Papers
18,768
Citations
64
h-index
114
i10-index

Citations

Citations per year for Matthew B. Schabath1983: 1 citations1989: 1 citations1999: 1 citations2000: 1 citations2001: 1 citations2002: 7 citations2003: 4 citations2004: 19 citations2005: 29 citations2006: 22 citations2007: 22 citations2008: 34 citations2009: 30 citations2010: 43 citations2011: 48 citations2012: 33 citations2013: 47 citations2014: 41 citations2015: 76 citations2016: 105 citations2017: 173 citations2018: 263 citations2019: 737 citations2020: 989 citations2021: 1,109 citations2022: 958 citations2023: 789 citations2024: 1,166 citations2025: 573 citations2026: 36 citations1984–1988: no citations, so these years are not shown1990–1998: no citations, so these years are not shown

Citation sources

Countries

World map of the countries and regions citing this authorUnited States: 2,272 citing papers, 21.7% of this breakdownChina: 2,235 citing papers, 21.4% of this breakdownUnited Kingdom: 542 citing papers, 5.2% of this breakdownItaly: 428 citing papers, 4.1% of this breakdownCanada: 376 citing papers, 3.6% of this breakdownGermany: 373 citing papers, 3.6% of this breakdownNetherlands: 337 citing papers, 3.2% of this breakdownFrance: 294 citing papers, 2.8% of this breakdownIndia: 269 citing papers, 2.6% of this breakdownSpain: 228 citing papers, 2.2% of this breakdownAustralia: 215 citing papers, 2% of this breakdownSouth Korea: 191 citing papers, 1.8% of this breakdown
0%21.7%Other 25.8%

Institutions

Fields

  • Medicine68.8%
  • Biochemistry, Genetics and Molecular Biology15.5%
  • Computer Science4.8%
  • Psychology2.5%
  • Immunology and Microbiology1.7%
  • Engineering1.5%
  • Other5.2%

Topics

  • Radiomics and Machine Learning in Medical Imaging14.4%
  • Lung Cancer Diagnosis and Treatment6.6%
  • AI in cancer detection4.2%
  • Lung Cancer Treatments and Mutations3%
  • Advanced X-ray and CT Imaging2.3%
  • Cancer Immunotherapy and Biomarkers2.1%
  • Other67.4%

Coauthors

All papers

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  1. Artificial intelligence in cancer imaging: Clinical challenges and applications

    Authors: Wenya Linda Bi, Ahmed Hosny, Matthew B. Schabath, Maryellen L. Giger, Nicolai J. Birkbak, Alireza Mehrtash, Tavis Allison, Omar Arnaout, Christopher Abbosh, Ian F. Dunn, Raymond H. Mak, Rulla M. Tamimi, Clare M. Tempany, Charles Swanton, Udo Hoffmann, Lawrence H. Schwartz, Robert J. Gillies, Raymond Y. Huang, Hugo J.W.L. Aerts - CA A Cancer Journal for Clinicians 2019 cited by 1,829

  2. Radiomics: the process and the challenges

    Authors: Virendra Kumar, Yuhua Gu, Satrajit Basu, Anders Berglund, Steven A. Eschrich, Matthew B. Schabath, Kenneth Forster, Hugo J.W.L. Aerts, André Dekker, David Fenstermacher, Dmitry B. Goldgof, Lawrence Hall, Philippe Lambin, Yoganand Balagurunathan, Robert A. Gatenby, Robert J. Gillies - Magnetic Resonance Imaging 2012 cited by 2,252

  3. Cancer Progress and Priorities: Lung Cancer

    Authors: Matthew B. Schabath, Michele L. Coté - Cancer Epidemiology Biomarkers & Prevention 2019 cited by 1,154

  4. Large-scale association analysis identifies new lung cancer susceptibility loci and heterogeneity in genetic susceptibility across histological subtypes

    Authors: James McKay, Rayjean J Hung, Younghun Han, Xuchen Zong, Robert Carreras‐Torres, David C. Christiani, Neil E. Caporaso, Mattias Johansson, Xiangjun Xiao, Yafang Li, Jinyoung Byun, Alison M. Dunning, Karen A. Pooley, David C. Qian, Xuemei Ji, Geoffrey Liu, Maria Timofeeva, Stig E. Bojesen, Xifeng Wu, Loı̈c Le Marchand, Demetrius Albanes, Heike Bickeböller, Melinda C. Aldrich, William S. Bush, Adonina Tardón, Gad Rennert, M. Dawn Teare, John K. Field, Lambertus A. Kiemeney, Philip Lazarus, Aage Haugen, Stephen Lam, Matthew B. Schabath, Angeline S. Andrew, Hongbing Shen, Yun‐Chul Hong, Jian‐Min Yuan, Pier Alberto Bertazzi, Angela Cecilia Pesatori, Yuanqing Ye, Nancy Diao, Li Su, Ruyang Zhang, Yonathan Brhane, Natasha B. Leighl, Jakob Sidenius Johansen, Anders Mellemgaard, Walid Saliba, Christopher A. Haiman, Lynne R. Wilkens, Ana Fernández‐Somoano, Guillermo Fernández‐Tardón, Erik H.F.M. van der Heijden, Jin Hee Kim, Juncheng Dai, Zhibin Hu, Michael P.A. Davies, Michael W. Marcus, Hans Brunnström, Jonas Manjer, Olle Melander, David C. Muller, Kim Overvad, Antonia Trichopoulou, ­Rosario ­Tumino, Jennifer A. Doherty, Matt P Barnett, Chu Chen, Gary E. Goodman, Angela Cox, Fiona Taylor, Penella J. Woll, Irene Brüske, H‐Erich Wichmann, Judith Manz, Thomas R Muley, Angela Risch, Albert Rosenberger, Kjell Grankvist, Mikael Johansson, Frances A. Shepherd, Ming‐Sound Tsao, Susanne M. Arnold, Eric B. Haura, Ciprian Bolca, Ivana Holcátová, Vladimí­r Janout, Milica Kontić, Jolanta Lissowska, Anush Mukeria, Simona Ognjanovic, Tadeusz Orłowski, Ghislaine Scélo, Beata Świątkowska, Давид Заридзе, Per Bakke, Vidar Skaug, Shanbeh Zienolddiny, Eric J. Duell, Lesley M. Butler and 40 more - Nature Genetics 2017 cited by 794

  5. Non-invasive measurement of PD-L1 status and prediction of immunotherapy response using deep learning of PET/CT images

    Authors: Wei Mu, Lei Jiang, Yu Shi, Ilke Tunali, Jhanelle E Gray, Evangelia Katsoulakis, Jie Tian, Robert J. Gillies, Matthew B. Schabath - Journal for ImmunoTherapy of Cancer 2021 cited by 205

  6. Non-invasive decision support for NSCLC treatment using PET/CT radiomics

    Authors: Wei Mu, Lei Jiang, Jianyuan Zhang, Yu Shi, Jhanelle E. Gray, Ilke Tunali, Chao Gao, Yingying Sun, Jie Tian, Xinming Zhao, Xilin Sun, Robert J. Gillies, Matthew B. Schabath - Nature Communications 2020 cited by 296

  7. Genomic and evolutionary classification of lung cancer in never smokers

    Authors: Tongwu Zhang, Philippe Joubert, Naser Ansari‐Pour, Zhao Wei, Phuc H. Hoang, Rachel Lokanga, Aaron L. Moye, Jennifer Rosenbaum, Abel González-Pérez, Francisco Martínez-Jiménez, Andrea Castro, Lucia Anna Muscarella, Paul L. Hofman, Dario Consonni, Angela Cecilia Pesatori, Michael Kebede, Mengying Li, Bonnie E. Gould Rothberg, Iliana Peneva, Matthew B. Schabath, Maria Luana Poeta, Manuela Costantini, Daniela Hirsch, Kerstin Heselmeyer‐Haddad, Amy Hutchinson, Mary E. Olanich, Scott M. Lawrence, Petra H. Lenz, Máire A. Duggan, Praphulla Bhawsar, Jian Sang, Jung Kim, Laura Mendoza, Natalie Saini, Leszek J. Klimczak, S. M. Ashiqul Islam, Burçak Otlu, Azhar Khandekar, Nathan Cole, Douglas R. Stewart, Jiyeon Choi, Kevin M. Brown, Neil E. Caporaso, Samuel H. Wilson, Yves Pommier, Qing Lan, Nathaniel Rothman, Jonas S. Almeida, Hannah Carter, Thomas Ried, Carla F. Kim, Núria López-Bigas, Montserrat García‐Closas, Jianxin Shi, Yohan Bossé, Bin Zhu, Dmitry A. Gordenin, Ludmil B. Alexandrov, Stephen J. Chanock, David C. Wedge, Maria Teresa Landi - Nature Genetics 2021 cited by 242

  8. Intrinsic dependencies of CT radiomic features on voxel size and number of gray levels

    Authors: Muhammad Shafiq‐ul‐Hassan, Geoffrey Zhang, Kujtim Latifi, Ghanim Ullah, Dylan Hunt, Yoganand Balagurunathan, Mahmoud A. Abdalah, Matthew B. Schabath, Dmitry Goldgof, Dennis Mackin, Laurence E. Court, Robert J. Gillies, Eduardo G. Moros - Medical Physics 2017 cited by 580

  9. Lung Cancer Screening, Version 3.2018, NCCN Clinical Practice Guidelines in Oncology

    Authors: Douglas E. Wood, Ella A. Kazerooni, Scott Baum, George A. Eapen, David S. Ettinger, Lifang Hou, David M. Jackman, Donald Klippenstein, Rohit Kumar, Rudy P. Lackner, Lorriana E. Leard, Inga T. Lennes, Ann N. Leung, Samir Makani, Pierre P. Massion, Peter J. Mazzone, Robert E. Merritt, Bryan F. Meyers, David E. Midthun, Sudhakar Pipavath, Christie Pratt, Chakravarthy Reddy, Mary E. Reid, Arnold Rotter, Peter B. Sachs, Matthew B. Schabath, Mark L. Schiebler, Betty Tong, William D. Travis, Benjamin Wei, Stephen C. Yang, Kristina M. Gregory, Miranda Hughes - Journal of the National Comprehensive Cancer Network 2018 cited by 631

  10. Radiomics of 18F-FDG PET/CT images predicts clinical benefit of advanced NSCLC patients to checkpoint blockade immunotherapy

    Authors: Wei Mu, Ilke Tunali, Jhanelle E. Gray, Jin Qi, Matthew B. Schabath, Robert J. Gillies - European Journal of Nuclear Medicine and Molecular Imaging 2019 cited by 184

  11. Application of Radiomics and Artificial Intelligence for Lung Cancer Precision Medicine

    Authors: Ilke Tunali, Robert J. Gillies, Matthew B. Schabath - Cold Spring Harbor Perspectives in Medicine 2021 cited by 117

  12. Radiomics Improves Cancer Screening and Early Detection

    Authors: Robert J. Gillies, Matthew B. Schabath - Cancer Epidemiology Biomarkers & Prevention 2020 cited by 155

  13. Differential association of STK11 and TP53 with KRAS mutation-associated gene expression, proliferation and immune surveillance in lung adenocarcinoma

    Authors: Matthew B. Schabath, E A Welsh, William J. Fulp, Lieping Chen, Jamie K. Teer, Zachary Thompson, Brienne E. Engel, Min Xie, Anders Berglund, Ben Creelan, S. Antonia, Jhanelle E. Gray, Steven A. Eschrich, D-T Chen, W. Douglas Cress, Eric B. Haura, Amer A. Beg - Oncogene 2015 cited by 445

  14. NCCN Guidelines® Insights: Lung Cancer Screening, Version 1.2022

    Authors: Douglas E. Wood, Ella A. Kazerooni, Denise R. Aberle, Abigail T. Berman, Lisa M. Brown, Georgie A. Eapen, David S. Ettinger, J. Scott Ferguson, Lifang Hou, Dipen Kadaria, Donald Klippenstein, Rohit Kumar, Rudy P. Lackner, Lorriana E. Leard, Inga T. Lennes, Ann N. Leung, Peter J. Mazzone, Robert E. Merritt, David E. Midthun, Mark W. Onaitis, Sudhakar Pipavath, Christie Pratt, Varun Puri, Dan J. Raz, Chakravarthy Reddy, Mary E. Reid, Kim L. Sandler, Jacob Sands, Matthew B. Schabath, Jamie L. Studts, Lynn Tanoue, Betty C. Tong, William D. Travis, Benjamin Wei, Kenneth D. Westover, Stephen C. Yang, Beth McCullough, Miranda Hughes - Journal of the National Comprehensive Cancer Network 2022 cited by 150

  15. TGF-β–inducible microRNA-183 silences tumor-associated natural killer cells

    Authors: Sarah S. Donatelli, Junmin Zhou, Danielle L. Gilvary, Erika A. Eksioglu, Xianghong Chen, W. Douglas Cress, Eric B. Haura, Matthew B. Schabath, Domenico Coppola, Sheng Wei, Julie Y. Djeu - National Academy of Sciences, Proceedings of the National Academy of Sciences 2014 cited by 214

  16. Predicting Malignant Nodules from Screening CT Scans

    Authors: Samuel Hawkins, Hua Wang, Ying Liu, Alberto López García, Olya Stringfield, Henry Krewer, Qian Li, Dmitry Cherezov, Robert A. Gatenby, Yoganand Balagurunathan, Dmitry B. Goldgof, Matthew B. Schabath, Lawrence Hall, Robert J. Gillies - Journal of Thoracic Oncology 2016 cited by 301

  17. Cross-ancestry genome-wide meta-analysis of 61,047 cases and 947,237 controls identifies new susceptibility loci contributing to lung cancer

    Authors: Jinyoung Byun, Younghun Han, Yafang Li, Jun Xia, Erping Long, Jiyeon Choi, Xiangjun Xiao, Meng Zhu, Wen Zhou, Ryan Sun, Yohan Bossé, Zhuoyi Song, Ann G. Schwartz, Christine M. Lusk, Þórunn Rafnar, Kāri Stefánsson, Tongwu Zhang, Zhao Wei, Rowland W. Pettit, Yanhong Liu, Xihao Li, Hufeng Zhou, Kyle M. Walsh, Ivan P. Gorlov, Olga Y. Gorlova, Dakai Zhu, Susan M. Rosenberg, Susan M. Pinney, Joan E. Bailey‐Wilson, Diptasri Mandal, Mariza de Andrade, Colette Gaba, James C. Willey, Ming You, Marshall W. Anderson, John K. Wiencke, Demetrius Albanes, Stephan Lam, Adonina Tardón, Chu Chen, Gary E. Goodman, Stig Bojeson, Hermann Brenner, Maria Teresa Landi, Stephen J. Chanock, Mattias Johansson, Thomas Muley, Angela Risch, H.‐Erich Wichmann, Heike Bickeböller, David C. Christiani, Gad Rennert, Susanne M. Arnold, John K. Field, Sanjay Shete, Loı̈c Le Marchand, Olle Melander, Hans Brunnström, Geoffrey Liu, Angeline S. Andrew, Lambertus A. Kiemeney, Hongbing Shen, Shanbeh Zienolddiny, Kjell Grankvist, Mikael Johansson, Neil E. Caporaso, Angela Cox, Yun‐Chul Hong, Jian‐Min Yuan, Philip Lazarus, Matthew B. Schabath, Melinda C. Aldrich, Alpa V. Patel, Qing Lan, Nathaniel Rothman, Fiona Taylor, Linda Kachuri, John S. Witte, Lori C. Sakoda, Margaret R. Spitz, Paul Brennan, Xihong Lin, James McKay, Rayjean J. Hung, Christopher I. Amos - Nature Genetics 2022 cited by 121

  18. Images Are Data: Challenges and Opportunities in the Clinical Translation of Radiomics

    Authors: Wei Mu, Matthew B. Schabath, Robert J. Gillies - Cancer Research 2022 cited by 57

  19. Causal relationships between body mass index, smoking and lung cancer: Univariable and multivariable Mendelian randomization

    Authors: Wen Zhou, Geoffrey Liu, Rayjean J. Hung, Philip Haycock, Melinda C. Aldrich, Angeline S. Andrew, Susanne M. Arnold, Heike Bickeböller, Stig E. Bojesen, Paul Brennan, Hans Brunnström, Olle Melander, Neil E. Caporaso, Maria Teresa Landi, Chu Chen, Gary E. Goodman, David C. Christiani, Angela Cox, John K. Field, Mikael Johansson, Lambertus A. Kiemeney, Stephen Lam, Philip Lazarus, Loı̈c Le Marchand, Gad Rennert, Angela Risch, Matthew B. Schabath, Sanjay Shete, Adonina Tardón, Shanbeh Zienolddiny, Hongbing Shen, Christopher I. Amos - International Journal of Cancer 2020 cited by 174

  20. Cancer and lesbian, gay, bisexual, transgender/transsexual, and queer/questioning (LGBTQ) populations

    Authors: Gwendolyn P. Quinn, Julian Sanchez, Steven K. Sutton, Susan T. Vadaparampil, Giang T. Nguyen, B. Lee Green, Peter A. Kanetsky, Matthew B. Schabath - CA A Cancer Journal for Clinicians 2015 cited by 484

  21. Deep Feature Transfer Learning in Combination with Traditional Features Predicts Survival among Patients with Lung Adenocarcinoma

    Authors: Rahul Paul, Samuel Hawkins, Yoganand Balagurunathan, Matthew B. Schabath, Robert J. Gillies, Lawrence Hall, Dmitry Goldgof - Tomography 2016 cited by 178

  22. Peritumoral and intratumoral radiomic features predict survival outcomes among patients diagnosed in lung cancer screening

    Authors: Jaileene Pérez‐Morales, Ilke Tunali, Olya Stringfield, Steven A. Eschrich, Yoganand Balagurunathan, Robert J. Gillies, Matthew B. Schabath - Scientific Reports 2020 cited by 83

  23. Quantitative Computed Tomographic Descriptors Associate Tumor Shape Complexity and Intratumor Heterogeneity with Prognosis in Lung Adenocarcinoma

    Authors: Olya Grove, Anders Berglund, Matthew B. Schabath, Hugo J.W.L. Aerts, André Dekker, Hua Wang, Emmanuel Rios Velazquez, Philippe Lambin, Yuhua Gu, Yoganand Balagurunathan, Edward A. Eikman, Robert A. Gatenby, Steven A. Eschrich, Robert J. Gillies - PLoS ONE 2015 cited by 265

  24. Assessing Lung Cancer Absolute Risk Trajectory Based on a Polygenic Risk Model

    Authors: Rayjean J. Hung, Matthew T. Warkentin, Yonathan Brhane, Nilanjan Chatterjee, David C. Christiani, Maria Teresa Landi, Neil E. Caporaso, Geoffrey Liu, Mattias Johansson, Demetrius Albanes, Loı̈c Le Marchand, Adonina Tardón, Gad Rennert, Stig E. Bojesen, Chu Chen, John K. Field, Lambertus A. Kiemeney, Philip Lazarus, Shanbeth Zienolddiny, Stephen Lam, Angeline S. Andrew, Susanne M. Arnold, Melinda C. Aldrich, Heike Bickeböller, Angela Risch, Matthew B. Schabath, James McKay, Paul Brennan, Christopher I. Amos - Cancer Research 2021 cited by 95