Guy J. Maddern

Active 1984–2025

129
Papers
19,256
Citations
74
h-index
119
i10-index

Citations

Citations per year for Guy J. Maddern1939: 1 citations1979: 1 citations1981: 1 citations1985: 3 citations1986: 5 citations1987: 8 citations1988: 10 citations1989: 22 citations1990: 10 citations1991: 20 citations1992: 10 citations1993: 10 citations1994: 22 citations1995: 13 citations1996: 25 citations1997: 21 citations1998: 35 citations1999: 28 citations2000: 29 citations2001: 42 citations2002: 38 citations2003: 46 citations2004: 54 citations2005: 53 citations2006: 70 citations2007: 82 citations2008: 75 citations2009: 89 citations2010: 99 citations2011: 127 citations2012: 114 citations2013: 134 citations2014: 116 citations2015: 120 citations2016: 106 citations2017: 77 citations2018: 88 citations2019: 393 citations2020: 404 citations2021: 368 citations2022: 250 citations2023: 209 citations2024: 424 citations2025: 180 citations2026: 3 citations1940–1978: no citations, so these years are not shown1980: no citations, so this year is not shown1982–1984: no citations, so these years are not shown

Citation sources

Countries

World map of the countries and regions citing this authorUnited States: 1,162 citing papers, 19.9% of this breakdownUnited Kingdom: 505 citing papers, 8.7% of this breakdownChina: 466 citing papers, 8% of this breakdownGermany: 338 citing papers, 5.8% of this breakdownItaly: 318 citing papers, 5.4% of this breakdownNetherlands: 289 citing papers, 5% of this breakdownAustralia: 263 citing papers, 4.5% of this breakdownCanada: 253 citing papers, 4.3% of this breakdownJapan: 246 citing papers, 4.2% of this breakdownFrance: 227 citing papers, 3.9% of this breakdownSpain: 165 citing papers, 2.8% of this breakdownSwitzerland: 129 citing papers, 2.2% of this breakdown
0%19.9%Other 25.3%

Fields

  • Medicine84.3%
  • Health Professions2.6%
  • Biochemistry, Genetics and Molecular Biology2.6%
  • Computer Science1.8%
  • Engineering1.6%
  • Psychology1.4%
  • Other5.7%

Topics

  • Hepatocellular Carcinoma Treatment and Prognosis6.3%
  • Surgical Simulation and Training4.4%
  • Organ Transplantation Techniques and Outcomes3.6%
  • Cholangiocarcinoma and Gallbladder Cancer Studies3.3%
  • Pancreatic and Hepatic Oncology Research3.2%
  • Gallbladder and Bile Duct Disorders2.7%
  • Other76.5%

Coauthors

All papers

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  1. Posthepatectomy liver failure: A definition and grading by the International Study Group of Liver Surgery (ISGLS)

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , - Surgery 2011 cited by 2,273

  2. Bile leakage after hepatobiliary and pancreatic surgery: A definition and grading of severity by the International Study Group of Liver Surgery

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , - Surgery 2011 cited by 1,937

  3. The IDEAL framework for surgical robotics: development, comparative evaluation and long-term monitoring

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Alan Kuntz, Karen Kerr, Nigel Horwood, Panel 2. Technical evaluation, Katherine Anderon, Ka‐Wai Kwok, Rich Mahoney, Bill Peine, Ferdinando Rodriquez Y. Baena, Pietro Valdastri, Richard Leparmentier, Len Evans, Rebecca Langley, Garnette R. Sutherland, Sanju Lama, Naeem Soomro, Justin Collins, Mario M. Leitão, James Kinross, Alvin C. Goh, Bernard J. Park, Panel 4. Human factors, Matthias Weigl, Rebecca Randell, Steven Yule, Duncan McPherson, Laura Pickup, Richard J. E. Skipworth, Jennifer T. Anger, Denny Yu, Lora Cavuoto, Ann M. Bisantz, Tara Cohen, Panel 5. Health economics, Mirre Scholte, Guy J. Maddern, Laura Sampietro-Colom, Alane Clark, Tammy Clifford, Belén Corbacho, Cynthia P Iglesias, Janneke P.C. Grutters, Panel 6. Ethics, Katrina Hutchinson, Lesley Booth, Heather Draper, Len Evans, Sarah Goering, Alexander A. Kon, Rebecca Langley, Rob Sparrow, Panel 7. Surgical training, Kamran Ahmed, Deena Harji, Teodor Grantcharov, Lars Konge, Additional collaborators, Art Sedrakyan, Joel Horowitz, Arsenio Páez - Nature Medicine 2024 cited by 155

  4. Post-hepatectomy haemorrhage: a definition and grading by the International Study Group of Liver Surgery (ISGLS)

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , - HPB 2011 cited by 452

  5. Deep brain stimulation for essential tremor: A systematic review

    Authors: , , , - Movement Disorders 2010 cited by 321

  6. Systematic review of skills transfer after surgical simulation-based training

    Authors: , , , , , , - British journal of surgery 2014 cited by 472

  7. Surgical Simulation

    Authors: , , , , , , - Annals of Surgery 2006 cited by 532

  8. A Systematic Review of Skills Transfer After Surgical Simulation Training

    Authors: , , , , , - Annals of Surgery 2008 cited by 614

  9. Rapid reviews versus full systematic reviews: An inventory of current methods and practice in health technology assessment

    Authors: , , , , , , , , , - International Journal of Technology Assessment in Health Care 2008 cited by 228

  10. Robotic cholecystectomy versus conventional laparoscopic cholecystectomy: A meta-analysis

    Authors: , , , - Surgery 2016 cited by 123

  11. Devices measuring transepidermal water loss: A systematic review of measurement properties

    Authors: , , , , - Skin Research and Technology 2022 cited by 37

  12. Perhexiline: Old Drug, New Tricks? A Summary of Its Anti-Cancer Effects

    Authors: , , , , , , - Molecules 2023 cited by 29

  13. Weight loss with subcutaneous semaglutide versus other glucagon‐like peptide 1 receptor agonists in type 2 diabetes: a systematic review

    Authors: , , , , , , , , , , , , , , , , - Internal Medicine Journal 2023 cited by 24

  14. Depression after stoma surgery: a systematic review and meta-analysis

    Authors: , , , , , , , , , , , , , , , , , , , , , - BMC Psychiatry 2023 cited by 51

  15. A Systematic Review of Surgical Skills Transfer After Simulation-Based Training

    Authors: , , , , , - Annals of Surgery 2013 cited by 217

  16. RAPID VERSUS FULL SYSTEMATIC REVIEWS: VALIDITY IN CLINICAL PRACTICE?

    Authors: , , , , , , , , , - ANZ Journal of Surgery 2008 cited by 165

  17. Staging of colorectal cancer using lipid biomarkers and machine learning

    Authors: , , , , , , , , , - Metabolomics 2023 cited by 22

  18. Clinical application of cytokine-induced killer (CIK) cell therapy in colorectal cancer: Current strategies and future challenges

    Authors: , , , , , , , - Cancer Treatment Reviews 2023 cited by 22

  19. Evaluation and stages of surgical innovations

    Authors: , , , , - The Lancet 2009 cited by 556

  20. Bioengineered skin substitutes for the management of burns: A systematic review

    Authors: , , , , - Burns 2007 cited by 394

  21. Use of cytokine-induced killer cell therapy in patients with colorectal cancer: a systematic review and meta-analysis

    Authors: , , , , , , , , , - Journal for ImmunoTherapy of Cancer 2023 cited by 27

  22. The Adelaide Score: An artificial intelligence measure of readiness for discharge after general surgery

    Authors: , , , , , , , , , , , , , , , - ANZ Journal of Surgery 2023 cited by 23

  23. Artificial intelligence for surgical services in Australia and New Zealand: opportunities, challenges and recommendations

    Authors: , , , , , , , , , - The Medical Journal of Australia 2024 cited by 12

  24. Effect of lixisenatide on liquid gastric emptying in type 2 diabetes – Implications for the use of GLP-1 receptor agonists before procedures

    Authors: , , , , , , - Journal of Diabetes and its Complications 2024 cited by 9