Jacques Bergman

Active 1993–2025

155
Papers
19,909
Citations
83
h-index
145
i10-index

Citations

Citations per year for Jacques Bergman1990: 1 citations1994: 1 citations1995: 2 citations1996: 11 citations1997: 9 citations1998: 16 citations1999: 12 citations2000: 14 citations2001: 21 citations2002: 25 citations2003: 33 citations2004: 27 citations2005: 17 citations2006: 43 citations2007: 69 citations2008: 99 citations2009: 84 citations2010: 116 citations2011: 110 citations2012: 92 citations2013: 139 citations2014: 93 citations2015: 125 citations2016: 145 citations2017: 99 citations2018: 120 citations2019: 405 citations2020: 598 citations2021: 633 citations2022: 554 citations2023: 478 citations2024: 725 citations2025: 369 citations2026: 4 citations1991–1993: no citations, so these years are not shown

Citation sources

Countries

World map of the countries and regions citing this authorUnited States: 1,057 citing papers, 18.9% of this breakdownChina: 639 citing papers, 11.4% of this breakdownNetherlands: 472 citing papers, 8.4% of this breakdownUnited Kingdom: 430 citing papers, 7.7% of this breakdownItaly: 299 citing papers, 5.3% of this breakdownGermany: 298 citing papers, 5.3% of this breakdownJapan: 203 citing papers, 3.6% of this breakdownFrance: 165 citing papers, 2.9% of this breakdownAustralia: 144 citing papers, 2.6% of this breakdownCanada: 141 citing papers, 2.5% of this breakdownBelgium: 138 citing papers, 2.5% of this breakdownSpain: 121 citing papers, 2.2% of this breakdown
0%18.9%Other 26.7%

Fields

  • Medicine72.8%
  • Biochemistry, Genetics and Molecular Biology22.1%
  • Immunology and Microbiology1.2%
  • Computer Science1.1%
  • Engineering0.9%
  • Neuroscience0.4%
  • Other1.5%

Topics

  • Esophageal Cancer Research and Treatment10.7%
  • Gut microbiota and health8.3%
  • Gastric Cancer Management and Outcomes6.5%
  • Esophageal and GI Pathology5.7%
  • Diet and metabolism studies4%
  • Colorectal Cancer Screening and Detection3.8%
  • Other61%

Coauthors

All papers

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  1. Improvement of Insulin Sensitivity after Lean Donor Feces in Metabolic Syndrome Is Driven by Baseline Intestinal Microbiota Composition

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , - Cell Metabolism 2017 cited by 1,008

  2. Faecal microbiota transplantation halts progression of human new-onset type 1 diabetes in a randomised controlled trial

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , F. Holleman, Lorenzo Piemonti, Willem M. de Vos, Bart O. Roep, Max Nieuwdorp - Gut 2020 cited by 305

  3. Donor metabolic characteristics drive effects of faecal microbiota transplantation on recipient insulin sensitivity, energy expenditure and intestinal transit time

    Authors: , , , , , , , , , , , , , , , , , , , , , - Gut 2019 cited by 302

  4. Neoadjuvant Chemoradiotherapy Combined with Atezolizumab for Resectable Esophageal Adenocarcinoma: A Single-arm Phase II Feasibility Trial (PERFECT)

    Authors: , , , , , , , , , , , , , , , , , , , , , - Clinical Cancer Research 2021 cited by 278

  5. Donor Fecal Microbiota Transplantation Alters Gut Microbiota and Metabolites in Obese Individuals With Steatohepatitis

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , - Hepatology Communications 2020 cited by 143

  6. Deep-Learning System Detects Neoplasia in Patients With Barrett’s Esophagus With Higher Accuracy Than Endoscopists in a Multistep Training and Validation Study With Benchmarking

    Authors: , , , , , , , , , , , , , , , , , , - Gastroenterology 2019 cited by 331

  7. Infusion of donor feces affects the gut–brain axis in humans with metabolic syndrome

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Dirk Haller, Max Nieuwdorp - Molecular Metabolism 2020 cited by 107

  8. Endoscopic management of Barrett’s esophagus: European Society of Gastrointestinal Endoscopy (ESGE) Position Statement

    Authors: , , , , , , , , , , - Endoscopy 2017 cited by 613

  9. Expected value of artificial intelligence in gastrointestinal endoscopy: European Society of Gastrointestinal Endoscopy (ESGE) Position Statement

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Andrew Veitch, Ian M. Gralnek, Cesare Hassan, Mário Dinis‐Ribeiro - Endoscopy 2022 cited by 162

  10. AGA Clinical Practice Update on New Technology and Innovation for Surveillance and Screening in Barrett’s Esophagus: Expert Review

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , - Clinical Gastroenterology and Hepatology 2022 cited by 145

  11. Duodenal Anaerobutyricum soehngenii infusion stimulates GLP-1 production, ameliorates glycaemic control and beneficially shapes the duodenal transcriptome in metabolic syndrome subjects: a randomised double-blind placebo-controlled cross-over study

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , - Gut 2021 cited by 52

  12. A deep learning system for detection of early Barrett's neoplasia: a model development and validation study

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Jacques Bergman, Alaa Alkhalaf, Lorenza Alvarez Herrero, Francisco Baldaque‐Silva, Maximilien Barret, Jacques Bergman, Tors ten Beyna, Raf Bisschops, Tim Boers, Wouter L. Curvers, Pierre H. Deprez, Lucas C. Duits, Peter Elbe, José Miguel Esteban López-Jamar, Gary W. Falk, Kiki Fockens, Eric K. Ganguly, Gregory G. Ginsberg, Albert J. de Groof, Rehan Haidry, Martin H. Houben, Anthony Infantolino, Prasad G. Iyer, Martijn R. Jong, Pieter-Jan de Jonge, Jelmer B. Jukema, Arjun K Koch, Srinadh Komanduri, Vani J. Konda, Carolus H. J. Kusters, Philippe Leclercq, Cadman L. Leggett, Arnaud Lemmers, Charles J. Lightdale, Rosalie C. Mallant–Hent, Guiomar Moral Villarejo, V. Raman Muthusamy, Wouter B. Nagengast, Jacobo Ortiz Fernández‐Sordo, Oliver Pech, Ian Penman, Douglas K. Pleskow, Roos E. Pouw, Joost van der Putten, Krish Ragunath, Pieter Scholten, Stefan Seewald, Amritha Sethi, Michael S. Smith, Fons van der Sommen, Arvind J. Trindade, Sachin Wani, Irving Waxman, Jessie Westerhof, Bas L. Weusten, Peter H. N. de With, Herbert C. Wolfsen - The Lancet Digital Health 2023 cited by 61

  13. The Development and Validation of an Endoscopic Grading System for Barrett’s Esophagus: The Prague C & M Criteria

    Authors: , , , , , , , , , , - Gastroenterology 2006 cited by 1,044

  14. Radiofrequency Ablation vs Endoscopic Surveillance for Patients With Barrett Esophagus and Low-Grade Dysplasia

    Authors: , , , , , , , , , , , , , , , - JAMA 2014 cited by 639

  15. Safety and efficacy of hydrothermal duodenal mucosal resurfacing in patients with type 2 diabetes: the randomised, double-blind, sham-controlled, multicentre REVITA-2 feasibility trial

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , - Gut 2021 cited by 112

  16. AGA Clinical Practice Update on Endoscopic Treatment of Barrett’s Esophagus With Dysplasia and/or Early Cancer: Expert Review

    Authors: , , , - Gastroenterology 2019 cited by 215

  17. Towards a robust and compact deep learning system for primary detection of early Barrett’s neoplasia: Initial image‐based results of training on a multi‐center retrospectively collected data set

    Authors: , , , , , , , , , , , , , , , , , , , , , , , - United European Gastroenterology Journal 2023 cited by 37

  18. Standard endoscopy with random biopsies versus narrow band imaging targeted biopsies in Barrett's oesophagus: a prospective, international, randomised controlled trial

    Authors: , , , , , , , , , , , , , - Gut 2012 cited by 372

  19. A computer-assisted algorithm for narrow-band imaging-based tissue characterization in Barrett’s esophagus

    Authors: , , , , , , , , , , , , - Gastrointestinal Endoscopy 2020 cited by 80

  20. Computer-aided detection of early neoplastic lesions in Barrett’s esophagus

    Authors: , , , , , , , , - Endoscopy 2016 cited by 178

  21. Estrogen-related receptor alpha drives mitochondrial biogenesis and resistance to neoadjuvant chemoradiation in esophageal cancer

    Authors: , , , , , , , , , , , , , , , , , , , , , - Cell Reports Medicine 2022 cited by 50

  22. Machine learning in GI endoscopy: practical guidance in how to interpret a novel field

    Authors: , , , , , , , , , , , - Gut 2020 cited by 123

  23. Deep learning algorithm detection of Barrett’s neoplasia with high accuracy during live endoscopic procedures: a pilot study (with video)

    Authors: , , , , , , , , , , , , - Gastrointestinal Endoscopy 2020 cited by 121

  24. Evaluating the Endoscopic Reference Score for eosinophilic esophagitis: moderate to substantial intra- and interobserver reliability

    Authors: , , , , , , , , , - Endoscopy 2014 cited by 107