Thomas Härtung

Active 1909–2025

Also published as
Thomas Hartung
238
Papers
36,892
Citations
101
h-index
220
i10-index

Citations

Citations per year for Thomas Härtung1953: 1 citations1965: 1 citations1969: 1 citations1970: 5 citations1971: 7 citations1972: 8 citations1973: 4 citations1974: 2 citations1975: 8 citations1976: 6 citations1977: 2 citations1978: 1 citations1979: 6 citations1980: 2 citations1981: 3 citations1982: 3 citations1983: 5 citations1984: 2 citations1985: 5 citations1986: 11 citations1987: 14 citations1988: 9 citations1989: 10 citations1990: 6 citations1991: 12 citations1992: 7 citations1993: 8 citations1994: 9 citations1995: 18 citations1996: 21 citations1997: 15 citations1998: 30 citations1999: 48 citations2000: 45 citations2001: 69 citations2002: 151 citations2003: 203 citations2004: 207 citations2005: 307 citations2006: 336 citations2007: 317 citations2008: 437 citations2009: 353 citations2010: 355 citations2011: 321 citations2012: 295 citations2013: 298 citations2014: 296 citations2015: 203 citations2016: 301 citations2017: 289 citations2018: 302 citations2019: 729 citations2020: 826 citations2021: 906 citations2022: 755 citations2023: 610 citations2024: 944 citations2025: 550 citations2026: 41 citations1954–1964: no citations, so these years are not shown1966–1968: no citations, so these years are not shown

Citation sources

Countries

World map of the countries and regions citing this authorUnited States: 3,094 citing papers, 23.1% of this breakdownGermany: 1,160 citing papers, 8.7% of this breakdownUnited Kingdom: 1,013 citing papers, 7.6% of this breakdownChina: 882 citing papers, 6.6% of this breakdownItaly: 610 citing papers, 4.6% of this breakdownFrance: 565 citing papers, 4.2% of this breakdownNetherlands: 522 citing papers, 3.9% of this breakdownCanada: 442 citing papers, 3.3% of this breakdownJapan: 369 citing papers, 2.8% of this breakdownSwitzerland: 354 citing papers, 2.6% of this breakdownIndia: 315 citing papers, 2.3% of this breakdownSpain: 292 citing papers, 2.2% of this breakdown
0%23.1%Other 28.1%

Fields

  • Medicine25.4%
  • Biochemistry, Genetics and Molecular Biology19.1%
  • Immunology and Microbiology16.8%
  • Neuroscience6.9%
  • Computer Science6%
  • Agricultural and Biological Sciences5.6%
  • Other20.2%

Topics

  • Immune Response and Inflammation4.7%
  • Computational Drug Discovery Methods3.2%
  • 3D Printing in Biomedical Research2.4%
  • Animal testing and alternatives1.9%
  • Metabolomics and Mass Spectrometry Studies1.6%
  • Pluripotent Stem Cells Research1.3%
  • Other84.9%

Coauthors

All papers

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  1. New approach methodologies in human regulatory toxicology – Not if, but how and when!

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , - Environment International 2023 cited by 330

  2. Organoid intelligence (OI): the new frontier in biocomputing and intelligence-in-a-dish

    Authors: , , , , , , , , , , , , , , , , , , , , - Frontiers in Science 2023 cited by 260

  3. Shell microelectrode arrays (MEAs) for brain organoids

    Authors: , , , , , , , , , , , , , , , , - Science Advances 2022 cited by 187

  4. Multi-tissue interactions in an integrated three-tissue organ-on-a-chip platform

    Authors: , , , , , , , , , , , , , , , , , , , , , - Scientific Reports 2017 cited by 597

  5. Toxicity testing in the 21st century: progress in the past decade and future perspectives

    Authors: , , , , , , , , , , , , - Archives of Toxicology 2019 cited by 379

  6. Machine Learning of Toxicological Big Data Enables Read-Across Structure Activity Relationships (RASAR) Outperforming Animal Test Reproducibility

    Authors: , , , - Toxicological Sciences 2018 cited by 324

  7. C9orf72 regulates energy homeostasis by stabilizing mitochondrial complex I assembly

    Authors: , , , , , , , , , - Cell Metabolism 2021 cited by 152

  8. A JOURNAL OF PHARMACOLOGY AND EXPERIMENTAL THERAPEUTICS

    Authors: , , , , , , , , , , , , , , , , - Journal of the American Medical Association 1909 cited by 7,904

  9. Reference materials for MS-based untargeted metabolomics and lipidomics: a review by the metabolomics quality assurance and quality control consortium (mQACC)

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , - Metabolomics 2022 cited by 128

  10. Artificial intelligence (AI)—it’s the end of the tox as we know it (and I feel fine)*

    Authors: , - Archives of Toxicology 2024 cited by 100

  11. CATMoS: Collaborative Acute Toxicity Modeling Suite

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Feng Gao, Jeffery M. Gearhart, Garett Goh, Jonathan M. Goodman, Francesca Grisoni, Chris Grulke, Thomas Härtung, Matthew Hirn, Pavel Karpov, Alexandru Korotcov, Giovanna J. Lavado, Michael S. Lawless, Xinhao Li, Thomas Luechtefeld, Filippo Lunghini, Giuseppe Felice Mangiatordi, Gilles Marcou, Dan H. Marsh, Todd M. Martin, Andrea Mauri, Eugene Muratov, Glenn J. Myatt, Ðắc-Trung Nguyễn, Orazio Nicolotti, Reine Note, Paritosh Pande, Amanda K. Parks, Tyler Peryea, Ahsan Habib Polash, Robert Ralló, Alessandra Roncaglioni, Craig Rowlands, Patricia Ruiz, Daniel P. Russo, Ahmed E Sayed, Risa Sayre, Timothy Sheils, Charles Siegel, Arthur C. Silva, Anton Simeonov, Sergey Sosnin, Noel Southall, Judy Strickland, Yun Tang, Brian J. Teppen, Igor V. Tetko, Dennis Thomas, Valery Tkachenko, Roberto Todeschini, Cosimo Toma, Ignacio J. Tripodi, Daniela Trisciuzzi, Alexander Tropsha, Alexandre Varnek, Kristijan Vuković, Zhongyu Wang, Liguo Wang, Katrina M. Waters, Andrew J. Wedlake, Sanjeeva J. Wijeyesakere, Dan Wilson, Zijun Xiao, Hongbin Yang, Gergely Zahoránszky-Köhalmi, Alexey Zakharov, Fagen F. Zhang, Zhen Zhang, Tongan Zhao, Hao Zhu, Kimberley M. Zorn and 2 more - Environmental Health Perspectives 2021 cited by 141

  12. “ToxRTool”, a new tool to assess the reliability of toxicological data

    Authors: , , , , , , , - Toxicology Letters 2009 cited by 427

  13. Adverse outcome pathways: opportunities, limitations and open questions

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Jens M. Kelm, David A. Fluri, Gerhard F. Ecker, Barbara Zdrazil, Andrea Terron, Paul Jennings, Bart van der Burg, Steven Dooley, Annemarie H. Meijer, Egon Willighagen, Marvin Martens, Chris T. Evelo, Enrico Mombelli, Olivier Taboureau, Alberto Mantovani, Barry Hardy, Bjørn E. V. Koch, Sylvia E. Escher, Christoph van Thriel, Cristina Cadenas, Dinant Kroese, Bob van de Water, Jan G. Hengstler - Archives of Toxicology 2017 cited by 368

  14. Combination therapy with BPTES nanoparticles and metformin targets the metabolic heterogeneity of pancreatic cancer

    Authors: , , , , , , , , , , , , , , , , , , , , , , - National Academy of Sciences, Proceedings of the National Academy of Sciences 2016 cited by 231

  15. Artificial intelligence as the new frontier in chemical risk assessment

    Authors: - Frontiers in Artificial Intelligence, Frontiers Artif. Intell. 2023 cited by 56

  16. Toxicology for the twenty-first century

    Authors: - Nature 2009 cited by 655

  17. First Organoid Intelligence (OI) workshop to form an OI community

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Andre Levchenko, Rabih E. Jabbour, Brett J. Kagan, Cynthia A. Berlinicke, Qi Huang, Alexandra Maertens, Kathrin Herrmann, Katya Tsaioun, Raha M. Dastgheyb, Christa Whelan Habela, Joshua T. Vogelstein, Thomas Hartung - Frontiers in Artificial Intelligence, Frontiers Artif. Intell. 2023 cited by 52

  18. The (misleading) role of animal models in drug development

    Authors: - Frontiers in Drug Discovery 2024 cited by 75

  19. The Promise and Potential of Brain Organoids

    Authors: , - Advanced Healthcare Materials 2024 cited by 71

  20. ToxAIcology - The evolving role of artificial intelligence in advancing toxicology and modernizing regulatory science

    Authors: - ALTEX 2023 cited by 62

  21. Towards quality assurance and quality control in untargeted metabolomics studies

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Fariba Tayyari, Baljit K. Ubhi, Mukesh Verma, Tilman Walk, Ian D. Wilson, Keren L. Witkin, Daniel W. Bearden, Krista A. Zanetti - Metabolomics 2019 cited by 149

  22. Nutrition and the ageing brain: Moving towards clinical applications

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , - Ageing Research Reviews 2020 cited by 117

  23. From the exposome to mechanistic understanding of chemical-induced adverse effects

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Gerrit Schüürmann, Benno Schwikowski, Yu-Mei Tan, Saskia Trump, Susanne Walter-Rohde, John F. Wambaugh - Environment International 2016 cited by 212

  24. Dissemination and analysis of the quality assurance (QA) and quality control (QC) practices of LC–MS based untargeted metabolomics practitioners

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , - Metabolomics 2020 cited by 117