Andrew H. Beck

2004–2024 年に発表

83
論文数
18,837
被引用数
64
h 指数
80
i10 指数

被引用数

Andrew H. Beck の年別被引用数1985 年: 被引用 1 件1990 年: 被引用 1 件1999 年: 被引用 1 件2000 年: 被引用 1 件2003 年: 被引用 1 件2004 年: 被引用 2 件2005 年: 被引用 3 件2006 年: 被引用 2 件2007 年: 被引用 1 件2008 年: 被引用 2 件2009 年: 被引用 18 件2010 年: 被引用 37 件2011 年: 被引用 38 件2012 年: 被引用 75 件2013 年: 被引用 68 件2014 年: 被引用 102 件2015 年: 被引用 163 件2016 年: 被引用 253 件2017 年: 被引用 385 件2018 年: 被引用 520 件2019 年: 被引用 1,181 件2020 年: 被引用 1,318 件2021 年: 被引用 1,352 件2022 年: 被引用 1,102 件2023 年: 被引用 921 件2024 年: 被引用 1,027 件2025 年: 被引用 665 件2026 年: 被引用 104 件1986〜1989 年は被引用が無いため表示していません1991〜1998 年は被引用が無いため表示していません2001〜2002 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 3,338 件、この内訳の 24.3%中国: 引用元論文 2,184 件、この内訳の 15.9%イギリス: 引用元論文 880 件、この内訳の 6.4%ドイツ: 引用元論文 587 件、この内訳の 4.3%カナダ: 引用元論文 500 件、この内訳の 3.7%イタリア: 引用元論文 449 件、この内訳の 3.3%フランス: 引用元論文 374 件、この内訳の 2.7%オランダ: 引用元論文 356 件、この内訳の 2.6%インド: 引用元論文 333 件、この内訳の 2.4%オーストラリア: 引用元論文 331 件、この内訳の 2.4%日本: 引用元論文 311 件、この内訳の 2.3%韓国: 引用元論文 285 件、この内訳の 2.1%
0%24.3%その他 27.6%

分野

  • Medicine32.6%
  • Biochemistry, Genetics and Molecular Biology30.3%
  • Computer Science29%
  • Immunology and Microbiology2.7%
  • Engineering1.5%
  • Neuroscience0.6%
  • その他3.3%

トピック

  • AI in cancer detection10.4%
  • Radiomics and Machine Learning in Medical Imaging6.1%
  • Digital Imaging for Blood Diseases2.9%
  • Cancer Genomics and Diagnostics2.3%
  • Cell Image Analysis Techniques2.1%
  • Circular RNAs in diseases1.9%
  • その他74.3%

共著者

全論文

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  1. Diagnostic Assessment of Deep Learning Algorithms for Detection of Lymph Node Metastases in Women With Breast Cancer

    著者: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Mustafa Ümit Öner, Rengül Çetin-Atalay, Matt Berseth, Vitali Khvatkov, Alexei Vylegzhanin, Oren Kraus, Muhammad Shaban, Nasir Rajpoot, Ruqayya Awan, Korsuk Sirinukunwattana, Talha Qaiser, Yee‐Wah Tsang, David Tellez, Jonas Annuscheit, Peter Hufnagl, Mira Valkonen, Kimmo Kartasalo, Leena Latonen, Pekka Ruusuvuori, Kaisa Liimatainen, Shadi Albarqouni, Bharti Mungal, Ami George, Stefanie Demirci, Nassir Navab, Seiryo Watanabe, Shigeto Seno, Yoichi Takenaka, Hideo Matsuda, Hady Ahmady Phoulady, Vassili Kovalev, Alexander Kalinovsky, Vitali Liauchuk, Gloria Bueno, M. Milagro Fernández-Carrobles, Ismael Serrano, Óscar Déniz, Daniel Racoceanu, Rui Venâncio - JAMA 2017 被引用: 3,297

  2. Comprehensive Molecular Portraits of Invasive Lobular Breast Cancer

    著者: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Tari A. King, Charles M. Perou, Rehan Akbani, J. Todd Auman, Miruna Balasundaram, Saianand Balu, Thomas Barr, Andrew H. Beck, Christopher C. Benz, Stephen C. Benz, Mario Berríos, Rameen Beroukhim, Tom Bodenheimer, Lori Boice, Lori Boice, Jay Bowen, Reanne Bowlby, Denise Brooks, Andrew D. Cherniack, Lynda Chin, Juok Cho, Sudha Chudamani, Giovanni Ciriello, Tanja M. Davidsen, John A. Demchok, Jennifer B. Dennison, Li Ding, Ina Felau, Martin L. Ferguson, Scott Frazer, Stacey Gabriel, Jianjiong Gao, Julie M. Gastier-Foster, Michael L. Gatza, Nils Gehlenborg, Mark Gerken, Gad Getz, William J. Gibson, D. Neil Hayes, David I. Heiman, Katherine A. Hoadley, Andrea Holbrook, Robert A. Holt, Alan P. Hoyle, Hai Hu, Mei Huang, Carolyn M. Hutter, E. Shelley Hwang, E. Shelley Hwang, Steven J.M. Jones, Zhenlin Ju, Jaegil Kim, Phillip H. Lai, Peter W. Laird, Michael S. Lawrence, Kristen M. Leraas, Tara M. Lichtenberg, Pei Lin, Shiyun Ling, Jia Liu, Wenbin Liu, Laxmi Lolla, Yiling Lu, Yussanne Ma, Dennis T. Maglinte, Elaine R. Mardis, Jeffrey R. Marks, Marco A. Marra, Cynthia McAllister, Michael D. McLellan ほか 60 名 - Cell 2015 被引用: 1,981

  3. Computational pathology definitions, best practices, and recommendations for regulatory guidance: a white paper from the Digital Pathology Association

    著者: , , , , , , , , , , , - The Journal of Pathology 2019 被引用: 438

  4. Human-interpretable image features derived from densely mapped cancer pathology slides predict diverse molecular phenotypes

    著者: , , , , , , , , , , , , , , , , , , , , , - Nature Communications 2021 被引用: 283

  5. Deep Learning for Identifying Metastatic Breast Cancer

    著者: , , , , - arXiv (Cornell University), CoRR 2016 被引用: 804

  6. Combination Therapies Including Cilofexor and Firsocostat for Bridging Fibrosis and Cirrhosis Attributable to NASH

    著者: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Mitchell L. Shiffman, Simone I. Strasser, Vincent Wai‐Sun Wong, Naim Alkhouri, for the ATLAS Investigators - Hepatology 2020 被引用: 278

  7. Predicting breast tumor proliferation from whole-slide images: The TUPAC16 challenge

    著者: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Andrew H. Beck, Paul J. van Diest, Josien P. W. Pluim - Medical Image Analysis, Medical Image Anal. 2019 被引用: 319

  8. Systematic Analysis of Breast Cancer Morphology Uncovers Stromal Features Associated with Survival

    著者: , , , , , , , , - Science Translational Medicine 2011 被引用: 793

  9. Oncogenic Role of Fusion-circRNAs Derived from Cancer-Associated Chromosomal Translocations

    著者: , , , , , , , , , - Cell 2016 被引用: 770

  10. Prostate cancer–associated SPOP mutations confer resistance to BET inhibitors through stabilization of BRD4

    著者: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , James E. Bradner, Wenyi Wei - Nature Medicine 2017 被引用: 340

  11. A Machine Learning Approach Enables Quantitative Measurement of Liver Histology and Disease Monitoring in NASH

    著者: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Zobair M. Younossi - Hepatology 2021 被引用: 195

  12. Pitfalls in assessing stromal tumor infiltrating lymphocytes (sTILs) in breast cancer

    著者: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Jeroen van der Laak, Francesco Ciompi, Anne‐Vibeke Lænkholm, Enrique Bellolio, Tina Gruosso, Stephen B. Fox, Juan Carlos Araya, Giuseppe Floris, Jan Hudeček, Leonie Voorwerk, Andrew H. Beck, J. Kaplan Kerner, Denis Larsimont, Sabine Declercq, Gert Van den Eynden, Lajos Pusztai, Anna Ehinger, Wentao Yang, Khalid AbdulJabbar, Yinyin Yuan, Rajendra Singh, Crispin T. Hiley, Maise Al Bakir, Alexander J. Lazar, Stephen P. Naber, Stephan Wienert, Miluska Castillo, Giuseppe Curigliano, Maria Vittoria Dieci, Fabrice André, Charles Swanton, Jorge S. Reis‐Filho, Joseph A. Sparano, Eva Balslev, I‐Chun Chen, Elisabeth Ida Specht Stovgaard, Katherine L. Pogue–Geile, Kim Blenman, Frédérique Penault–Llorca, Stuart J. Schnitt, Sunil R. Lakhani, Anne Vincent‐Salomon, Federico Rojo, Jeremy Braybrooke, Matthew G. Hanna, María Teresa Soler-Monsó, Daniel Bethmann, Carlos Castaneda, Karen Willard‐Gallo, Ashish Sharma, Huang‐Chun Lien, Susan Fineberg, Jeppe Thagaard, Laura Comerma, Paula I. González-Ericsson, Edi Brogi, Sherene Loi, Joel Saltz, Frederick Klaushen, Lee Cooper, Mohamed Amgad, David Moore, Roberto Salgado, the International Immuno-Oncology Biomarker Working Group, Aini Hyytiäinen, Akira I. Hida, Alastair Thompson, Alexis Lefevre, Allen M. Gown, Amy Lo ほか 156 名 - npj Breast Cancer 2020 被引用: 206

  13. The Reprogramming of Tumor Stroma by HSF1 Is a Potent Enabler of Malignancy

    著者: , , , , , , , , , , - Cell 2014 被引用: 424

  14. Molecular analysis of TCGA breast cancer histologic types

    著者: , , , , , , , , , , , - Cell Genomics 2021 被引用: 116

  15. A Diverse Array of Cancer-Associated MTOR Mutations Are Hyperactivating and Can Predict Rapamycin Sensitivity

    著者: , , , , , , , , - Cancer Discovery 2014 被引用: 456

  16. Report on computational assessment of Tumor Infiltrating Lymphocytes from the International Immuno-Oncology Biomarker Working Group

    著者: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Giancarlo Pruneri, Sandra Demaria, Sylvia Adams, Stuart J. Schnitt, Sunil R. Lakhani, Federico Rojo, Laura Comerma, Sunil Badve, Mehrnoush Khojasteh, W. Fraser Symmans, Christos Sotiriou, Paula I. González-Ericsson, Katherine L. Pogue–Geile, Rim S. Kim, David L. Rimm, Giuseppe Viale, Stephen M. Hewitt, John M. S. Bartlett, Frédérique Penault–Llorca, Shom Goel, Huang‐Chun Lien, Sibylle Loibl, Zuzana Kos, Sherene Loi, Matthew G. Hanna, Stefan Michiels, Marleen Kok, Torsten O. Nielsen, Alexander J. Lazar, Zsuzsanna Bagó-Horváth, Loes Kooreman, Jeroen van der Laak, Joel Saltz, Brandon D. Gallas, Uday Kurkure, Michael Barnes, Roberto Salgado, Lee Cooper, International Immuno-Oncology Biomarker Working Group, Aini Hyytiäinen, Akira I. Hida, Alastair M. Thompson, Alexis Lefevre, Allen M. Gown, Amy Lo, Anna Sapino, André L. Moreira, Andrea L. Richardson, Andrea Vingiani, Andrew M. Bellizzi, Andrew Tutt, Ángel Guerrero‐Zotano, Anita Grigoriadis, Anna Ehinger, Ana C. Garrido-Castro, Anne Vincent-Salomon, Anne‐Vibeke Lænkholm, Ashley Cimino‐Mathews, Ashok Srinivasan, Balázs Ács, Baljit Singh, Benjamin C. Calhoun, Benjamin Haibe-Kans, Benjamin Solomon, Bibhusal Thapa, Brad H. Nelson, Carlos Castaneda, Carmen Ballesteroes-Merino, Carmen Criscitiello, Carolien Boeckx ほか 158 名 - npj Breast Cancer 2020 被引用: 166

  17. Artificial Intelligence Enables Quantitative Assessment of Ulcerative Colitis Histology

    著者: , , , , , , , , , , , , - Modern Pathology 2023 被引用: 66

  18. The Combined Effect of FGFR Inhibition and PD-1 Blockade Promotes Tumor-Intrinsic Induction of Antitumor Immunity

    著者: , , , , , , , , , , , , , , , , , , , , , , , , , , , - Cancer Immunology Research 2019 被引用: 147

  19. Association of artificial intelligence-powered and manual quantification of programmed death-ligand 1 (PD-L1) expression with outcomes in patients treated with nivolumab ± ipilimumab

    著者: , , , , , , , , , , , , , , , , , - Modern Pathology 2022 被引用: 62

  20. Nanoscale imaging of clinical specimens using pathology-optimized expansion microscopy

    著者: , , , , , , , , , , , , , - Nature Biotechnology 2017 被引用: 244

  21. PharmacoGx: an R package for analysis of large pharmacogenomic datasets

    著者: , , , , , , , , , , , , , , - Bioinformatics, Bioinform. 2015 被引用: 299

  22. Using deep convolutional neural networks to identify and classify tumor-associated stroma in diagnostic breast biopsies

    著者: , , , , , , , , , , , , , - Modern Pathology 2018 被引用: 218

  23. AlphaGo, Deep Learning, and the Future of the Human Microscopist

    著者: , , - Archives of Pathology & Laboratory Medicine 2017 被引用: 147

  24. AI-based automation of enrollment criteria and endpoint assessment in clinical trials in liver diseases

    著者: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Andrew H. Beck - Nature Medicine 2024 被引用: 42