Matthew B. Schabath

2000–2025 年に発表

142
論文数
18,768
被引用数
64
h 指数
114
i10 指数

被引用数

Matthew B. Schabath の年別被引用数1983 年: 被引用 1 件1989 年: 被引用 1 件1999 年: 被引用 1 件2000 年: 被引用 1 件2001 年: 被引用 1 件2002 年: 被引用 7 件2003 年: 被引用 4 件2004 年: 被引用 19 件2005 年: 被引用 29 件2006 年: 被引用 22 件2007 年: 被引用 22 件2008 年: 被引用 34 件2009 年: 被引用 30 件2010 年: 被引用 43 件2011 年: 被引用 48 件2012 年: 被引用 33 件2013 年: 被引用 47 件2014 年: 被引用 41 件2015 年: 被引用 76 件2016 年: 被引用 105 件2017 年: 被引用 173 件2018 年: 被引用 263 件2019 年: 被引用 737 件2020 年: 被引用 989 件2021 年: 被引用 1,109 件2022 年: 被引用 958 件2023 年: 被引用 789 件2024 年: 被引用 1,166 件2025 年: 被引用 573 件2026 年: 被引用 36 件1984〜1988 年は被引用が無いため表示していません1990〜1998 年は被引用が無いため表示していません

引用元

国・地域

この著者を引用した国・地域の世界地図アメリカ合衆国: 引用元論文 2,272 件、この内訳の 21.7%中国: 引用元論文 2,235 件、この内訳の 21.4%イギリス: 引用元論文 542 件、この内訳の 5.2%イタリア: 引用元論文 428 件、この内訳の 4.1%カナダ: 引用元論文 376 件、この内訳の 3.6%ドイツ: 引用元論文 373 件、この内訳の 3.6%オランダ: 引用元論文 337 件、この内訳の 3.2%フランス: 引用元論文 294 件、この内訳の 2.8%インド: 引用元論文 269 件、この内訳の 2.6%スペイン: 引用元論文 228 件、この内訳の 2.2%オーストラリア: 引用元論文 215 件、この内訳の 2%韓国: 引用元論文 191 件、この内訳の 1.8%
0%21.7%その他 25.8%

分野

  • Medicine68.8%
  • Biochemistry, Genetics and Molecular Biology15.5%
  • Computer Science4.8%
  • Psychology2.5%
  • Immunology and Microbiology1.7%
  • Engineering1.5%
  • その他5.2%

トピック

  • 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%
  • その他67.4%

共著者

全論文

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

    著者: , , , , , , , , , , , , , , , , , , - CA A Cancer Journal for Clinicians 2019 被引用: 1,829

  2. Radiomics: the process and the challenges

    著者: , , , , , , , , , , , , , , , - Magnetic Resonance Imaging 2012 被引用: 2,252

  3. Cancer Progress and Priorities: Lung Cancer

    著者: , - Cancer Epidemiology Biomarkers & Prevention 2019 被引用: 1,154

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

    著者: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , 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 ほか 40 名 - Nature Genetics 2017 被引用: 794

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

    著者: , , , , , , , , - Journal for ImmunoTherapy of Cancer 2021 被引用: 205

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

    著者: , , , , , , , , , , , , - Nature Communications 2020 被引用: 296

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

    著者: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , 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 被引用: 242

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

    著者: , , , , , , , , , , , , - Medical Physics 2017 被引用: 580

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

    著者: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Stephen C. Yang, Kristina M. Gregory, Miranda Hughes - Journal of the National Comprehensive Cancer Network 2018 被引用: 631

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

    著者: , , , , , - European Journal of Nuclear Medicine and Molecular Imaging 2019 被引用: 184

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

    著者: , , - Cold Spring Harbor Perspectives in Medicine 2021 被引用: 117

  12. Radiomics Improves Cancer Screening and Early Detection

    著者: , - Cancer Epidemiology Biomarkers & Prevention 2020 被引用: 155

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

    著者: , , , , , , , , , , , , , , , , - Oncogene 2015 被引用: 445

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

    著者: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , 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 被引用: 150

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

    著者: , , , , , , , , , , - National Academy of Sciences, Proceedings of the National Academy of Sciences 2014 被引用: 214

  16. Predicting Malignant Nodules from Screening CT Scans

    著者: , , , , , , , , , , , , , - Journal of Thoracic Oncology 2016 被引用: 301

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

    著者: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , 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 被引用: 121

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

    著者: , , - Cancer Research 2022 被引用: 57

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

    著者: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Hongbing Shen, Christopher I. Amos - International Journal of Cancer 2020 被引用: 174

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

    著者: , , , , , , , - CA A Cancer Journal for Clinicians 2015 被引用: 484

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

    著者: , , , , , , - Tomography 2016 被引用: 178

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

    著者: , , , , , , - Scientific Reports 2020 被引用: 83

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

    著者: , , , , , , , , , , , , , - PLoS ONE 2015 被引用: 265

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

    著者: , , , , , , , , , , , , , , , , , , , , , , , , , , , , - Cancer Research 2021 被引用: 95