Marcus J. Claesson

Active 2005–2026

75
Papers
18,628
Citations
53
h-index
69
i10-index

Citations

Citations per year for Marcus J. Claesson1983: 1 citations2005: 3 citations2006: 8 citations2007: 22 citations2008: 28 citations2009: 36 citations2010: 67 citations2011: 120 citations2012: 204 citations2013: 326 citations2014: 317 citations2015: 273 citations2016: 378 citations2017: 445 citations2018: 383 citations2019: 810 citations2020: 987 citations2021: 1,059 citations2022: 882 citations2023: 667 citations2024: 925 citations2025: 581 citations2026: 25 citations1984–2004: no citations, so these years are not shown

Citation sources

Countries

World map of the countries and regions citing this authorUnited States: 1,959 citing papers, 17.4% of this breakdownChina: 1,544 citing papers, 13.7% of this breakdownIreland: 671 citing papers, 6% of this breakdownItaly: 670 citing papers, 6% of this breakdownUnited Kingdom: 639 citing papers, 5.7% of this breakdownSpain: 373 citing papers, 3.3% of this breakdownCanada: 359 citing papers, 3.2% of this breakdownGermany: 359 citing papers, 3.2% of this breakdownNetherlands: 358 citing papers, 3.2% of this breakdownFrance: 353 citing papers, 3.1% of this breakdownAustralia: 291 citing papers, 2.6% of this breakdownIndia: 242 citing papers, 2.1% of this breakdown
0%17.4%Other 30.5%

Fields

  • Biochemistry, Genetics and Molecular Biology55.6%
  • Medicine19.2%
  • Agricultural and Biological Sciences9.9%
  • Environmental Science3.5%
  • Neuroscience3.1%
  • Nursing2.6%
  • Other6.1%

Topics

  • Gut microbiota and health22.9%
  • Probiotics and Fermented Foods6.5%
  • Diet and metabolism studies5.2%
  • Clostridium difficile and Clostridium perfringens research4.6%
  • Gastrointestinal motility and disorders3.6%
  • Tryptophan and brain disorders3.4%
  • Other53.8%

Coauthors

All papers

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  1. Gut microbiota composition correlates with diet and health in the elderly

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , - Nature 2012 cited by 3,335

  2. Composition, variability, and temporal stability of the intestinal microbiota of the elderly

    Authors: , , , , , , , , , , , , , , , , , , , , , , - National Academy of Sciences, Proceedings of the National Academy of Sciences 2010 cited by 1,742

  3. Applications of Machine Learning in Human Microbiome Studies: A Review on Feature Selection, Biomarker Identification, Disease Prediction and Treatment

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , - Frontiers in Microbiology 2021 cited by 394

  4. Tumour-associated and non-tumour-associated microbiota in colorectal cancer

    Authors: , , , , , , , , - Gut 2016 cited by 827

  5. Microbiota from young mice counteracts selective age-associated behavioral deficits

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , - Nature Aging 2021 cited by 310

  6. Ranking microbiome variance in inflammatory bowel disease: a large longitudinal intercontinental study

    Authors: , , , , , , , , , , , , , , - Gut 2020 cited by 250

  7. Regulation of prefrontal cortex myelination by the microbiota

    Authors: , , , , , , , - Translational Psychiatry 2016 cited by 640

  8. Colonic microbiota is associated with inflammation and host epigenomic alterations in inflammatory bowel disease

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , - Nature Communications 2020 cited by 283

  9. Gut microbiome, big data and machine learning to promote precision medicine for cancer

    Authors: , , , , , , , - Nature Reviews Gastroenterology & Hepatology 2020 cited by 337

  10. Examining the healthy human microbiome concept

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Jens Walter, Bo Yang, Natalia Yutin, Alexandra Zhernakova, Hub Zwart, Francesco Asnicar, Athanasios Typas, Fay Betsou, Hervé Blottière, Peer Bork, Isabelle Boutron, Federica Carraturo, Marcus Claesson, Magali Cordaillat-Simmons, Celine Druart, Alessio Fasano, Yolanda Godoy, Dirk Haller, Zahra Hassani, Diënty H. M. J. Hazenbrink, Mads Israelsen, Anandhi Iyappan, Alexander Jarde, Stephan Kampshoff, Aleksander Krag, Aicha Kriaa, Aonghus Lavelle, Amira Metwaly, Vitalina Morozova, Federica Pinto, Nicolas Pons, Pierre-Louis Prost, Philippe Ravaud, Moez Rhimi, Julie Rodriguez, Arjun Sarati, Robert Schierwagen, Nicola Segata, Debora Serra, Jonel Trebicka, Corrado Vecchi, Patrick Veiga, Laurence Zitvogel, Lisa Derosa, Joël Doré, R. Paul Ross - Nature Reviews Microbiology 2024 cited by 139

  11. An irritable bowel syndrome subtype defined by species-specific alterations in faecal microbiota

    Authors: , , , , , , - Gut 2011 cited by 828

  12. Fermented-Food Metagenomics Reveals Substrate-Associated Differences in Taxonomy and Health-Associated and Antibiotic Resistance Determinants

    Authors: , , , , , , , , , , - mSystems 2020 cited by 197

  13. Machine learning approaches in microbiome research: challenges and best practices

    Authors: , , , , , , , , , , , , , , , , - Frontiers in Microbiology 2023 cited by 117

  14. Diversity of Bifidobacteria within the Infant Gut Microbiota

    Authors: , , , , , , , , , , , , , , , , - PLoS ONE 2012 cited by 662

  15. Genome-scale analyses of health-promoting bacteria: probiogenomics

    Authors: , , , , , , - Nature Reviews Microbiology 2008 cited by 477

  16. Making Sense of … the Microbiome in Psychiatry

    Authors: , , , , - The International Journal of Neuropsychopharmacology 2018 cited by 221

  17. Statistical and Machine Learning Techniques in Human Microbiome Studies: Contemporary Challenges and Solutions

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Jaak Truu, Ciprian‐Octavian Truică, Baiba Vilne, Dimitriοs Vlachakis, Ercüment Yılmaz, Georg Zeller, Aldert Zomer, David Gómez-Cabrero, Marcus J. Claesson - Frontiers in Microbiology 2021 cited by 115

  18. The Athlete Gut Microbiome and its Relevance to Health and Performance: A Review

    Authors: , , , - Sports Medicine 2022 cited by 65

  19. Gut microbiota: Changes throughout the lifespan from infancy to elderly

    Authors: , - International Dairy Journal 2009 cited by 279

  20. Comparison of two next-generation sequencing technologies for resolving highly complex microbiota composition using tandem variable 16S rRNA gene regions

    Authors: , , , , , , - Nucleic Acids Research 2010 cited by 971

  21. Sequence-Based Characterization of Intratumoral Bacteria—A Guide to Best Practice

    Authors: , , - Frontiers in Oncology 2020 cited by 83

  22. Comparing Apples and Oranges?: Next Generation Sequencing and Its Impact on Microbiome Analysis

    Authors: , , , , , , - PLoS ONE 2016 cited by 283

  23. Microbes & neurodevelopment – Absence of microbiota during early life increases activity-related transcriptional pathways in the amygdala

    Authors: , , , , , , , - Brain Behavior and Immunity 2015 cited by 233

  24. Gutted! Unraveling the Role of the Microbiome in Major Depressive Disorder

    Authors: , , , , , - Harvard Review of Psychiatry 2020 cited by 158