Michael Hoffmeister

Active 2005–2025

243
Papers
24,811
Citations
86
h-index
222
i10-index

Citations

Citations per year for Michael Hoffmeister1943: 1 citations1977: 1 citations1989: 4 citations1991: 1 citations1997: 2 citations2002: 1 citations2003: 1 citations2006: 4 citations2007: 7 citations2008: 23 citations2009: 28 citations2010: 45 citations2011: 64 citations2012: 90 citations2013: 96 citations2014: 113 citations2015: 149 citations2016: 134 citations2017: 132 citations2018: 186 citations2019: 693 citations2020: 899 citations2021: 1,156 citations2022: 1,288 citations2023: 1,162 citations2024: 1,849 citations2025: 1,012 citations2026: 110 citations1944–1976: no citations, so these years are not shown1978–1988: no citations, so these years are not shown1990: no citations, so this year is not shown1992–1996: no citations, so these years are not shown1998–2001: no citations, so these years are not shown2004–2005: no citations, so these years are not shown

Citation sources

Countries

World map of the countries and regions citing this authorUnited States: 2,027 citing papers, 17.2% of this breakdownChina: 1,836 citing papers, 15.6% of this breakdownGermany: 951 citing papers, 8.1% of this breakdownUnited Kingdom: 864 citing papers, 7.3% of this breakdownItaly: 457 citing papers, 3.9% of this breakdownNetherlands: 373 citing papers, 3.2% of this breakdownAustralia: 369 citing papers, 3.1% of this breakdownFrance: 347 citing papers, 3% of this breakdownCanada: 344 citing papers, 2.9% of this breakdownSpain: 335 citing papers, 2.8% of this breakdownSouth Korea: 265 citing papers, 2.3% of this breakdownSweden: 262 citing papers, 2.2% of this breakdown
0%17.2%Other 28.4%

Fields

  • Medicine51.9%
  • Biochemistry, Genetics and Molecular Biology22.6%
  • Computer Science17.3%
  • Engineering3.1%
  • Immunology and Microbiology1.6%
  • Neuroscience0.5%
  • Other3%

Topics

  • Colorectal Cancer Screening and Detection8.8%
  • AI in cancer detection7.2%
  • Radiomics and Machine Learning in Medical Imaging5.1%
  • Genetic factors in colorectal cancer4.7%
  • Gastric Cancer Management and Outcomes2.4%
  • Cancer Genomics and Diagnostics2.3%
  • Other69.5%

Coauthors

All papers

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  1. Deep learning can predict microsatellite instability directly from histology in gastrointestinal cancer

    Authors: , , , , , , , , , , , , , , , , - Nature Medicine 2019 cited by 1,416

  2. Predicting survival from colorectal cancer histology slides using deep learning: A retrospective multicenter study

    Authors: , , , , , , , , , , , , , , , , , - PLoS Medicine 2019 cited by 1,058

  3. Pan-cancer image-based detection of clinically actionable genetic alterations

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , - Nature Cancer 2020 cited by 634

  4. Transformer-based biomarker prediction from colorectal cancer histology: A large-scale multicentric study

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Jennifer Hay, Viktor H. Koelzer, David N. Church, David N. Church, Enric Domingo, Joanne Edwards, Bengt Glimelius, Ismail Gögenür, Andrea Harkin, Jen Hay, Timothy Iveson, Emma Jaeger, Caroline Kelly, Rachel Kerr, Noori Maka, Hannah Morgan, Karin A. Oien, Clare Orange, Claire Palles, Campbell S.D. Roxburgh, Owen J. Sansom, Mark Saunders, Ian Tomlinson, Christian Matek, Carol Geppert, Chaolong Peng, Cheng Zhi, Xiaoming Ouyang, Jacqueline A. James, Maurice B. Loughrey, Manuel Salto‐Tellez, Hermann Brenner, Michael Hoffmeister, Daniel Truhn, Julia A. Schnabel, Melanie Boxberg, Tingying Peng, Jakob Nikolas Kather - Cancer Cell 2023 cited by 247

  5. Physical activity and risks of breast and colorectal cancer: a Mendelian randomisation analysis

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Michael Hoffmeister, John L. Hopper, Li Hsu, José María Huerta, Jeroen R. Huyghe, Mark A. Jenkins, Temitope O. Keku, Tilman Kühn, Carlo La Vecchia, Loı̈c Le Marchand, Christopher I. Li, Li Li, Annika Lindblom, Noralane M. Lindor, Brigid M. Lynch, Sanford D. Markowitz, Giovanna Masala, Anne M. May, Roger L. Milne, Evelyn M. Monninkhof, Lorena Moreno, Vı́ctor Moreno, Polly A. Newcomb, Kenneth Offit, Vittorio Perduca, Paul D.P. Pharoah, Elizabeth A. Platz, John D. Potter, Gad Rennert, Elio Ríboli, María‐José Sánchez, Stephanie L. Schmit, Robert E. Schoen, Gianluca Severi, Sabina Sieri, Martha L. Slattery, Mingyang Song, Catherine M. Tangen, Stephen N. Thibodeau, Ruth C. Travis, Antonia Trichopoulou, Cornelia M. Ulrich, Franzel J. B. van Duijnhoven, Bethany Van Guelpen, Pavel Vodička, Emily White, Alicja Wolk, Michael O. Woods, Anna H. Wu, Ulrike Peters, Marc J. Gunter, Neil Murphy - Nature Communications 2020 cited by 697

  6. Swarm learning for decentralized artificial intelligence in cancer histopathology

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , - Nature Medicine 2022 cited by 209

  7. Clinical-Grade Detection of Microsatellite Instability in Colorectal Tumors by Deep Learning

    Authors: , , , , , , , , , , , , , , , , , , , , , , - Gastroenterology 2020 cited by 375

  8. Benchmarking weakly-supervised deep learning pipelines for whole slide classification in computational pathology

    Authors: , , , , , , , , , , , , , , , , , , , , , , - Medical Image Analysis, Medical Image Anal. 2022 cited by 173

  9. Colorectal cancer incidence, mortality, and stage distribution in European countries in the colorectal cancer screening era: an international population-based study

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Marloes A.G. Elferink, Tom Børge Johannesen, Hartwig Kørner, F. Pfeffer, María José Bento, Jéssica Rodrigues, Filipa Alves da Costa, Ana Miranda, Vesna Zadnik, Tina Žagar, Arantza López de Munain, Rafael Marcos‐Gragera, Montse Puigdemont, Jaume Galcerán, Marià Carulla, María‐Dolores Chirlaque, Mónica Ballesta, Kristina Sundquist, Jan Sundquist, Marco Weber, Andrea Jordan, C. Herrmann, Seyed Mohsen Mousavi, Anton Ryzhov, Michael Hoffmeister, Hermann Brenner - The Lancet Oncology 2021 cited by 482

  10. Deciphering colorectal cancer genetics through multi-omic analysis of 100,204 cases and 154,587 controls of European and east Asian ancestries

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Marilena Melas, Gad Rennert, Mireia Obón‐Santacana, Vicente Martín, Ferrán Moratalla-Navarro, Jae Hwan Oh, Jeongseon Kim, Sun Ha Jee, Keum Ji Jung, Sun‐Seog Kweon, Min‐Ho Shin, Aesun Shin, Yoon‐Ok Ahn, Dong-Hyun Kim, Isao Oze, Wanqing Wen, Keitaro Matsuo, Koichi Matsuda, Chizu Tanikawa, Zefang Ren, Yu‐Tang Gao, Wei‐Hua Jia, John L. Hopper, Mark A. Jenkins, Aung Ko Win, Rish K. Pai, Jane C. Figueiredo, Robert W. Haile, Steven Gallinger, Michael O. Woods, Polly A. Newcomb, David Duggan, Jeremy P. Cheadle, Richard Kaplan, Tim Maughan, Rachel Kerr, David Kerr, Iva Kirac, Jan Böhm, Lukka-Pekka Mecklin, Pekka Jousilahti, Paul Knekt, Lauri A. Aaltonen, Harri Rissanen, ­Eero Pukkala, Johan G. Eriksson, Tatiana Cajuso, Ulrika A. Hänninen, Johanna Kondelin, Kimmo Palin, Tomas Tanskanen, Laura Renkonen‐Sinisalo, Brent W. Zanke, Satu Männistö, Demetrius Albanes, Stephanie J. Weinstein, Edward Ruiz-Narváez, Julie R. Palmer, Daniel D. Buchanan, Elizabeth A. Platz, Kala Visvanathan, Cornelia M. Ulrich, Erin M. Siegel, Stefanie Brezina, Andrea Gsur, Peter T. Campbell, Jenny Chang‐Claude, Michael Hoffmeister, Hermann Brenner, Martha L. Slattery and 110 more - Nature Genetics 2022 cited by 242

  11. Discovery of common and rare genetic risk variants for colorectal cancer

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Hermann Brenner, Stefanie Brezina, Stephan Buch, Daniel D. Buchanan, Andrea N. Burnett‐Hartman, Katja Butterbach, Bette J. Caan, Peter T. Campbell, Christopher S. Carlson, Sergi Castellvı́-Bel, Andrew T. Chan, Jenny Chang-Claude, Stephen J. Chanock, María‐Dolores Chirlaque, Sang‐Hee Cho, Charles M. Connolly, Amanda J. Cross, Katarina Ćuk, Keith R. Curtis, Albert de la Chapelle, Kimberly F. Doheny, David Duggan, Douglas F. Easton, Sjoerd G. Elias, Faye Elliott, Dallas R. English, Edith J. M. Feskens, Jane C. Figueiredo, Rocky Fischer, Liesel M. FitzGerald, David Forman, Manish Gala, Steven Gallinger, W. James Gauderman, Graham G. Giles, Elizabeth M. Gillanders, Jian Gong, Phyllis J. Goodman, William M. Grady, John Grove, Andrea Gsur, Marc J. Gunter, Robert W. Haile, Jochen Hampe, Heather Hampel, Sophia Harlid, Richard B. Hayes, Philipp Hofer, Michael Hoffmeister, John L. Hopper, Wan‐Ling Hsu, Wen‐Yi Huang, Thomas J. Hudson, David J. Hunter, Gemma Ibáñez‐Sanz, Gregory Idos, Roxann Ingersoll, Rebecca D. Jackson, Eric J. Jacobs, Mark A. Jenkins, Amit D. Joshi, Corinne E. Joshu, Temitope O. Keku, Timothy J. Key, Hyeong Rok Kim, Emiko Kobayashi, Laurence N. Kolonel, Charles Kooperberg, Tilman Kühn, Sébastien Küry and 99 more - Nature Genetics 2018 cited by 605

  12. Gastrointestinal cancer classification and prognostication from histology using deep learning: Systematic review

    Authors: , , , , , , , , , , , , , - European Journal of Cancer 2021 cited by 191

  13. Effect of screening sigmoidoscopy and screening colonoscopy on colorectal cancer incidence and mortality: systematic review and meta-analysis of randomised controlled trials and observational studies

    Authors: , , - BMJ 2014 cited by 867

  14. Characteristics of Early-Onset vs Late-Onset Colorectal Cancer

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Jacobus W. A. Burger, Никита Бурлов, Michela Campanelli, Maylis Capdepont, Michele Carvello, Hwee-Hoon Chew, Dimitri Christoforidis, David A. Clark, Marta Climent, Kyle G. Cologne, Tomás Contreras, Roland S. Croner, I. R. Daniels, Giovanni Dapri, Justin Davies, Paolo Delrio, Quentin Denost, Michael Deutsch, André Roncon Dias, André D’Hoore, E. S. Drozdov, Daniel Duek, Malcolm G. Dunlop, Adam Dziki, Aleksandra Edmundson, Sergey Efetov, Alaa El‐Hussuna, Brodie Elliot, Sameh Hany Emile, Eloy Espín, M. D. Evans, Seraina Faes, Omar Faiz, Fergal J. Fleming, Caterina Foppa, G Fowler, Matteo Frasson, Nuno Figueiredo, Tim Forgan, Frank Frizelle, Shamil Gadaev, José Gellona, Tamara Glyn, Jianping Gong, Goran Barisic, Emma Greenwood, Marianne G. Guren, Stephanie Guillon, Ida Gutlic, Dieter Hahnloser, Heather Hampel, Ann Hanly, Hirotoshi Hasegawa, Lene Hjerrild Iversen, Andrew Hill, James Hill, Jiří Hoch, Michael Hoffmeister, Roel Hompes, Luis Hurtado‐Pardo, Fabiano Iaquinandi, Ugnė Imbrasaitė, Rumana Islam, Mehrenah Dorna Jafari, Yukihide Kanemitsu, А. М. Карачун, Ahmer Karimuddin, Deborah S. Keller, Justin Kelly, Rory Kennelly and 122 more - JAMA Surgery 2021 cited by 289

  15. Generalizable biomarker prediction from cancer pathology slides with self-supervised deep learning: A retrospective multi-centric study

    Authors: , , , , , , , , , , , , , , , , , , - Cell Reports Medicine 2023 cited by 96

  16. Endothelial Notch1 Activity Facilitates Metastasis

    Authors: , , , , , , , , , , , , , , , , , , - Cancer Cell 2017 cited by 322

  17. Colorectal cancer: A health and economic problem

    Authors: , , , - Best Practice & Research Clinical Gastroenterology 2023 cited by 208

  18. End-to-end prognostication in colorectal cancer by deep learning: a retrospective, multicentre study

    Authors: , , , , , , , , , , , , , , , , , , - The Lancet Digital Health 2023 cited by 89

  19. Artificial intelligence for detection of microsatellite instability in colorectal cancer—a multicentric analysis of a pre-screening tool for clinical application

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Hermann Brenner, Christian Trautwein, Peter Boor, D. Jaeger, Nadine T. Gaisa, Michael Hoffmeister, Nicholas P. West, Jakob Nikolas Kather - ESMO Open 2022 cited by 107

  20. Topography of cancer-associated immune cells in human solid tumors

    Authors: , , , , , , , , , , , , , , , , , , , - eLife 2018 cited by 281

  21. Association of Body Mass Index With Risk of Early-Onset Colorectal Cancer: Systematic Review and Meta-Analysis

    Authors: , , , , - The American Journal of Gastroenterology 2021 cited by 121

  22. Weakly supervised annotation‐free cancer detection and prediction of genotype in routine histopathology

    Authors: , , , , , , , , , , , , , , , , , , - The Journal of Pathology 2021 cited by 79

  23. Reduction in colorectal cancer incidence by screening endoscopy

    Authors: , , , - Nature Reviews Gastroenterology & Hepatology 2023 cited by 73

  24. Genome-wide Modeling of Polygenic Risk Score in Colorectal Cancer Risk

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , David Duggan, David R. Crosslin, Demetrius Albanes, Edward L. Giovannucci, Eric B. Larson, Flora Qu, Frank Mentch, Graham G. Giles, Håkon Håkonarson, Heather Hampel, Ian B. Stanaway, Jane C. Figueiredo, Jeroen R. Huyghe, Jessica Minnier, Jenny Chang‐Claude, Jochen Hampe, John B. Harley, Kala Visvanathan, Keith R. Curtis, Kenneth Offit, Li Li, Loı̈c Le Marchand, Ludmila Vodičková, Marc J. Gunter, Mark A. Jenkins, Martha L. Slattery, Mathieu Lemire, Michael O. Woods, Mingyang Song, Neil Murphy, Noralane M. Lindor, Ozan Dikilitas, Paul D.P. Pharoah, Peter T. Campbell, Polly A. Newcomb, Roger L. Milne, Robert J. MacInnis, Sergi Castellvı́-Bel, Shuji Ogino, Sonja I. Berndt, Stéphane Bezieau, Stephen N. Thibodeau, Steven Gallinger, Syed Hassan Ejaz Zaidi, Tabitha A. Harrison, Temitope O. Keku, Thomas J. Hudson, Veronika Vymetálková, Vı́ctor Moreno, Vicente Martín, Volker Arndt, Wei‐Qi Wei, Wendy K. Chung, Yu‐Ru Su, Richard B. Hayes, Emily White, Pavel Vodička, Graham Casey, Stephen B. Gruber, Robert E. Schoen, Andrew T. Chan, John D. Potter, Hermann Brenner, Gail P. Jarvik, Douglas A. Corley, Ulrike Peters, Li Hsu - The American Journal of Human Genetics 2020 cited by 228