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Author

Christian Maaß

Observed names: C. Maass, Christian Alexander Maass, Christian Maass, Maass, C., Maaß, C., Maaß, Christian
Observed institutions: Heidelberg University, Max Planck Institute for Solar System Research, University Medical Centre Mannheim, Medizinische Fakultät Mannheim, Math2Market GmbH (Germany), Massachusetts Institute of Technology
ORCID: 0000-0001-7618-0421
Observed ORCID: 0000-0001-7618-0421
OpenAlex ID: A5070536964
Interconnected Microphysiological Systems for Quantitative Biology and Pharmacology Studies
2018 · Collin D. Edington, Wen Li Kelly Chen, et al. · Scientific Reports · 487
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Gut-Liver Physiomimetics Reveal Paradoxical Modulation of IBD-Related Inflammation by Short-Chain Fatty Acids
2020 · Martin Trapecar, Catherine Communal, et al. · Cell Systems · 215
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Multi-functional scaling methodology for translational pharmacokinetic and pharmacodynamic applications using integrated microphysiological systems (MPS)
2017 · Christian Maass, Cynthia L. Stokes, et al. · Integrative Biology · 72
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The role of patient-based treatment planning in peptide receptor radionuclide therapy
2015 · Deni Hardiansyah, Christian Maass, et al. · European Journal of Nuclear Medicine and Molecular Imaging · 71
Studying metabolism with multi-organ chips: new tools for disease modelling, pharmacokinetics and pharmacodynamics
2022 · Tanvi Shroff, Kehinde Aina, et al. · Open Biology · 68
Translational Assessment of Drug‐Induced Proximal Tubule Injury Using a Kidney Microphysiological System
2019 · Christian Maass, Nathan B. Sorensen, et al. · CPT Pharmacometrics & Systems Pharmacology · 68
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Optimized Peptide Amount and Activity for 90Y-Labeled DOTATATE Therapy
2015 · Peter Kletting, Thomas Kull, et al. · Journal of Nuclear Medicine · 66
Modelling human liver fibrosis in the context of non-alcoholic steatohepatitis using a microphysiological system
2021 · Tomasz Kostrzewski, Sophie Snow, et al. · Communications Biology · 51
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Modernizing Preclinical Drug Development: The Role of New Approach Methodologies
2025 · Krina Mehta, Christian Maass, et al. · ACS Pharmacology & Translational Science · 44
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Dependence of treatment planning accuracy in peptide receptor radionuclide therapy on the sampling schedule
2016 · Christian Maaß, Jan Philipp Sachs, et al. · EJNMMI Research · 44
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Minimal brain PBPK model to support the preclinical and clinical development of antibody therapeutics for CNS diseases
2021 · Peter Bloomingdale, Suruchi Bakshi, et al. · Journal of Pharmacokinetics and Pharmacodynamics · 37
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Digital twin-enhanced three-organ microphysiological system for studying drug pharmacokinetics in pregnant women
2025 · Katja Graf, José Martin Murrieta-Coxca, et al. · Frontiers in Pharmacology · 35
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A systematic review of kidney-on-a-chip-based models to study human renal (patho-)physiology
2023 · Vivian V. T. Nguyen, Vasiliki Gkouzioti, et al. · Disease Models & Mechanisms · 33
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DigiLoCS: A leap forward in predictive organ-on-chip simulations
2025 · Manoja Rajalakshmi Aravindakshan, Chittaranjan Mandal, et al. · PLoS ONE · 29
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Physiologically Based Pharmacokinetic Modeling Is Essential in 90Y-Labeled Anti-CD66 Radioimmunotherapy
2015 · Peter Kletting, Christian Maaß, et al. · PLoS ONE · 29
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Establishing quasi-steady state operations of microphysiological systems (MPS) using tissue-specific metabolic dependencies
2018 · Christian Maass, Matthew Dallas, et al. · Scientific Reports · 27
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Considering developmental neurotoxicityin vitrodata for human health risk assessment using physiologically-based kinetic modeling: deltamethrin case study
2023 · Christian Maass, Stephan Schaller, et al. · Toxicological Sciences · 15
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Next-generation discovery: empowering organoid research with machine learning, artificial intelligence, and mathematical modeling
2026 · Sneha Pushpa Ramesan, Jasmitha Boovadira Poonacha, et al. · Trends in biotechnology · 11
Population-Based Modeling Improves Treatment Planning Before 90 Y-Labeled Anti-CD66 Antibody Radioimmunotherapy
2015 · Christian Maaß, Peter Kletting, et al. · Cancer Biotherapy and Radiopharmaceuticals · 9
Studying Metabolism with Multi-Organ Chips: New Tools for Disease Modelling, Pharmacokinetics and Pharmacodynamics
2023 · Tanvi Shroff, Kehinde Aina, et al. · 5
Need for NAMs: A systematic evidence synthesis revealing over half a century of drug development failure
2026 · Dilyana Filipova, Wolfgang Boomgaarden, et al. · NAM journal. · 4
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Physiologically based pharmacokinetic modeling of 18F-SiFAlin-Asp3-PEG1-TATE in AR42J tumor bearing mice
2016 · Christian Maaß, Jose Ricardo Avelar Rivas, et al. · Nuclear Medicine and Biology · 2
OS01-09 DigiToCs: A Mechanistic PK- and AI-Enhanced Digital Toxicityon-Chip Simulator for Drug-Induced Liver Injury Classification
2025 · B. Amiri, J. Fabjan, et al. · Toxicology Letters · 1
OS02-05 3D human intestinal organoids as a platform to assess compound-induced gastrointestinal toxicity
2026 · T. Martianez, C. Demeester, et al. · Toxicology Letters
P18-49 DigiToCs 2.0: A Federated Hybrid Mechanistic-Machine Learning Model for Cross-Platform Drug-Induced Liver Injury Prediction
2026 · H. Leithner, B. Amiri, et al. · Toxicology Letters
Works count: 39
Citation count: 1,423
H-index: 16
I10-index: 18
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