Jerzy Adamski

Active 1994–2025

203
Papers
28,349
Citations
99
h-index
195
i10-index

Citations

Citations per year for Jerzy Adamski1995: 10 citations1996: 12 citations1997: 19 citations1998: 21 citations1999: 39 citations2000: 24 citations2001: 51 citations2002: 24 citations2003: 61 citations2004: 62 citations2005: 36 citations2006: 65 citations2007: 38 citations2008: 81 citations2009: 46 citations2010: 125 citations2011: 154 citations2012: 228 citations2013: 305 citations2014: 326 citations2015: 440 citations2016: 429 citations2017: 387 citations2018: 336 citations2019: 1,172 citations2020: 1,285 citations2021: 1,216 citations2022: 949 citations2023: 694 citations2024: 1,171 citations2025: 465 citations2026: 19 citations

Citation sources

Countries

World map of the countries and regions citing this authorUnited States: 2,898 citing papers, 19.8% of this breakdownChina: 1,485 citing papers, 10.1% of this breakdownGermany: 1,248 citing papers, 8.5% of this breakdownUnited Kingdom: 1,197 citing papers, 8.2% of this breakdownNetherlands: 571 citing papers, 3.9% of this breakdownItaly: 508 citing papers, 3.5% of this breakdownCanada: 487 citing papers, 3.3% of this breakdownFrance: 452 citing papers, 3.1% of this breakdownAustralia: 447 citing papers, 3.1% of this breakdownSweden: 420 citing papers, 2.9% of this breakdownSpain: 416 citing papers, 2.8% of this breakdownFinland: 314 citing papers, 2.1% of this breakdown
0%19.8%Other 28.7%

Fields

  • Biochemistry, Genetics and Molecular Biology49.1%
  • Medicine35.6%
  • Neuroscience4.4%
  • Immunology and Microbiology2.1%
  • Nursing1.9%
  • Environmental Science1.6%
  • Other5.3%

Topics

  • Metabolomics and Mass Spectrometry Studies9.1%
  • Diet and metabolism studies2.8%
  • Epigenetics and DNA Methylation2.3%
  • Gut microbiota and health2%
  • Adipose Tissue and Metabolism1.9%
  • Genetic Associations and Epidemiology1.8%
  • Other80.1%

Coauthors

All papers

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  1. Identification of Serum Metabolites Associated With Risk of Type 2 Diabetes Using a Targeted Metabolomic Approach

    Authors: , , , , , , , , , , , , , , , , , - Diabetes 2012 cited by 1,018

  2. Discovery of drug–omics associations in type 2 diabetes with generative deep-learning models

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Angus G. Jones, Gwen Kennedy, Jimmy Bell, E. Louise Thomas, Gary Frost, Henrik S. Thomsen, Elizaveta Hansen, Tue H. Hansen, Henrik Vestergaard, Mirthe Muilwijk, Marieke T. Blom, Leen M. ‘t Hart, François Pattou, Violeta Raverdy, Søren Brage, Tarja Kokkola, Alison Heggie, Donna McEvoy, Miranda Mourby, Jane Kaye, Andrew T. Hattersley, Timothy J. McDonald, Martin Ridderstråle, Mark Walker, Ian Forgie, Giuseppe N. Giordano, Imre Pavo, Hartmut Ruetten, Oluf Pedersen, Torben Hansen, Emmanouil Dermitzakis, Paul W. Franks, Jochen M. Schwenk, Jerzy Adamski, Mark I. McCarthy, Ewan R. Pearson, Karina Banasik, Simon Rasmussen, Søren Brunak, Philippe Froguel, Cecilia Engel Thomas, Ragna S. Häussler, Joline W. J. Beulens, Femke Rutters, Giel Nijpels, Sabine van Oort, Lenka Groeneveld, Petra J. M. Elders, Toni Giorgino, Marianne Rodriquez, Rachel Nice, Mandy H. Perry, Susanna Bianzano, Ulrike Graefe‐Mody, Anita M. Hennige, Rolf Grempler, Patrick Baum, Hans‐Henrik Stærfeldt, Nisha Shah, Harriet Teare, Beate Ehrhardt, J. Tillner, Christiane Dings, Thorsten Lehr, Nina Scherer, Iryna Sihinevich, Louise Cabrelli, Heather Loftus, Roberto Bizzotto, Andrea Tura and 69 more - Nature Biotechnology 2023 cited by 105

  3. Metabolite Profiling and Cardiovascular Event Risk

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Nish Chaturvedi, Mika Ala‐Korpela, Veikko Salomaa - Circulation 2015 cited by 697

  4. Atlas of Circadian Metabolism Reveals System-wide Coordination and Communication between Clocks

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , - Cell 2018 cited by 343

  5. Tobacco Smoking Leads to Extensive Genome-Wide Changes in DNA Methylation

    Authors: , , , , , , , , , , , , - PLoS ONE 2013 cited by 865

  6. Human metabolic individuality in biomedical and pharmaceutical research

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Tim D. Spector, Jerzy Adamski, Nicole Soranzo, Christian Gieger - Nature 2011 cited by 1,076

  7. Differences between Human Plasma and Serum Metabolite Profiles

    Authors: , , , , , , , , , , , , , , , , , , , , , - PLoS ONE 2011 cited by 490

  8. Altered metabolism distinguishes high-risk from stable carotid atherosclerotic plaques

    Authors: , , , , , , , , , , , - European Heart Journal 2018 cited by 176

  9. Gender-specific pathway differences in the human serum metabolome

    Authors: , , , , , , , , , , , , , , , , , - Metabolomics 2015 cited by 304

  10. Human serum metabolic profiles are age dependent

    Authors: , , , , , , , , , , , , , , , , , , , , , - Aging Cell 2012 cited by 356

  11. Metabolomics for clinical use and research in chronic kidney disease

    Authors: , - Nature Reviews Nephrology 2017 cited by 337

  12. Characterization of missing values in untargeted MS-based metabolomics data and evaluation of missing data handling strategies

    Authors: , , , , , , , , , , , , , , , - Metabolomics 2018 cited by 205

  13. Cross-Laboratory Standardization of Preclinical Lipidomics Using Differential Mobility Spectrometry and Multiple Reaction Monitoring

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Yolanda B. de Rijke, Martin Giera - Analytical Chemistry 2021 cited by 99

  14. Machine learning for classification of hypertension subtypes using multi-omics: A multi-centre, retrospective, data-driven study

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Christian Cole, Isabella Sudano, Cornelia Prehn, Jerzy Adamski, Anne‐Paule Gimenez‐Roqueplo, Guillaume Assié, Wiebke Arlt, Felix Beuschlein, Graeme Eisenhofer, Eleanor Davies, Maria‐Christina Zennaro, Emily Jefferson - EBioMedicine 2022 cited by 89

  15. A genome-wide perspective of genetic variation in human metabolism

    Authors: , , , , , , , , , , , , , , , , , - Nature Genetics 2009 cited by 667

  16. Rapamycin extends murine lifespan but has limited effects on aging

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Thomas Klopstock, Markus Ollert, Jörg Stypmann, Eckhard Wolf, Wolfgang Wurst, Andreas Zimmer, Helmut Fuchs, Valérie Gailus‐Durner, Martin Hrabě de Angelis, Dan Ehninger - Journal of Clinical Investigation 2013 cited by 379

  17. Four groups of type 2 diabetes contribute to the etiological and clinical heterogeneity in newly diagnosed individuals: An IMI DIRECT study

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Tue H. Hansen, Henrik Vestergaard, Torben Hansen, Femke Rutters, Petra J. M. Elders, Leen M. ‘t Hart, Amélie Bonnefond, Mickaël Canouil, Søren Brage, Tarja Kokkola, Alison Heggie, Donna McEvoy, Andrew T. Hattersley, Timothy J. McDonald, Harriet Teare, Martin Ridderstråle, Mark Walker, Ian Forgie, Giuseppe N. Giordano, Philippe Froguel, Imre Pávó, Hartmut Ruetten, Oluf Pedersen, Emmanouil T. Dermitzakis, Paul W. Franks, Jochen M. Schwenk, Jerzy Adamski, Ewan R. Pearson, Mark I. McCarthy, Søren Brunak - Cell Reports Medicine 2022 cited by 89

  18. Novel biomarkers for pre‐diabetes identified by metabolomics

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Heiner Boeing, Hans‐Georg Joost, Martin Hrabě de Angelis, Wolfgang Rathmann, Karsten Suhre, Holger Prokisch, Annette Peters, Thomas Meitinger, Michael Roden, H‐Erich Wichmann, Tobias Pischon, Jerzy Adamski, Thomas Illig - Molecular Systems Biology 2012 cited by 708

  19. Genome-wide association study of caffeine metabolites provides new insights to caffeine metabolism and dietary caffeine-consumption behavior

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , - Human Molecular Genetics 2016 cited by 187

  20. High levels of modified ceramides are a defining feature of murine and human cancer cachexia

    Authors: , , , , , , , , , , , , , - Journal of Cachexia Sarcopenia and Muscle 2020 cited by 60

  21. Genetics Meets Metabolomics: A Genome-Wide Association Study of Metabolite Profiles in Human Serum

    Authors: , , , , , , , , , , , - PLoS Genetics 2008 cited by 766

  22. Discovery of Sexual Dimorphisms in Metabolic and Genetic Biomarkers

    Authors: , , , , , , , , , , , , , , , , , - PLoS Genetics 2011 cited by 403

  23. Gaussian graphical modeling reconstructs pathway reactions from high-throughput metabolomics data

    Authors: , , , , - BMC Systems Biology, BMC Syst. Biol. 2011 cited by 341

  24. International Ring Trial of a High Resolution Targeted Metabolomics and Lipidomics Platform for Serum and Plasma Analysis

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Mark R. Viant, Catherine Winder, David S. Wishart, Lun Zhang, Jiamin Zheng, M. Arthur Moseley - Analytical Chemistry 2019 cited by 96