Christian Maaß

1.3k total citations
18 papers, 563 citations indexed

About

Christian Maaß is a scholar working on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering and Molecular Biology. According to data from OpenAlex, Christian Maaß has authored 18 papers receiving a total of 563 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Radiology, Nuclear Medicine and Imaging, 7 papers in Biomedical Engineering and 6 papers in Molecular Biology. Recurrent topics in Christian Maaß's work include Radiopharmaceutical Chemistry and Applications (6 papers), 3D Printing in Biomedical Research (6 papers) and Innovative Microfluidic and Catalytic Techniques Innovation (4 papers). Christian Maaß is often cited by papers focused on Radiopharmaceutical Chemistry and Applications (6 papers), 3D Printing in Biomedical Research (6 papers) and Innovative Microfluidic and Catalytic Techniques Innovation (4 papers). Christian Maaß collaborates with scholars based in Germany, United States and Netherlands. Christian Maaß's co-authors include Linda G. Griffith, Cynthia L. Stokes, Peter Kletting, Murat Cirit, Gerhard Glatting, Ambros J. Beer, Deni Hardiansyah, David L. Trumper, Charles Wright and Vincent L. Butty and has published in prestigious journals such as PLoS ONE, Scientific Reports and Toxicological Sciences.

In The Last Decade

Christian Maaß

18 papers receiving 549 citations

Peers

Countries citing papers authored by Christian Maaß

Since Specialization

Citations

This map shows the geographic impact of Christian Maaß's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Christian Maaß with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christian Maaß more than expected).

Fields of papers citing papers by Christian Maaß

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Christian Maaß. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Christian Maaß. The network helps show where Christian Maaß may publish in the future.

Co-authorship network of co-authors of Christian Maaß

This figure shows the co-authorship network connecting the top 25 collaborators of Christian Maaß. A scholar is included among the top collaborators of Christian Maaß based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Christian Maaß. Christian Maaß is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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18 of 18 papers shown

#	Work	Indexed citations
1	Digital twin-enhanced three-organ microphysiological system for studying drug pharmacokinetics in pregnant women 2025 ·Frontiers in Pharmacology ·Katja Graf, José M. Murrieta-Coxca, Thomas Vogt, (unknown), (unknown), (unknown), Albert Bothe, Diana M. Morales‐Prieto, (unknown), Stephan Schaller, (unknown), Martin Raasch, Ramy M. Ammar, Christian Maaß	3
2	DigiLoCS: A leap forward in predictive organ-on-chip simulations 2025 ·PLoS ONE ·(unknown), Chittaranjan Mandal, Alex Pothen, Stephan Schaller, Christian Maaß	7
3	Modernizing Preclinical Drug Development: The Role of New Approach Methodologies 2025 ·ACS Pharmacology & Translational Science ·(unknown), Christian Maaß, L. Cucurull-Sanchez, César Pichardo‐Almarza, (unknown), Ioannis P. Androulakis, Jogarao Gobburu, Stephan Schaller, Catherine M.T. Sherwin	4
4	Considering developmental neurotoxicityin vitrodata for human health risk assessment using physiologically-based kinetic modeling: deltamethrin case study 2023 ·Toxicological Sciences ·Christian Maaß, Stephan Schaller, André Dallmann, (unknown), Dennis Müller	7
5	A systematic review of kidney-on-a-chip-based models to study human renal (patho-)physiology 2023 ·Disease Models & Mechanisms ·(unknown), (unknown), Christian Maaß, Marianne C. Verhaar, Robin W.M. Vernooij, Bas W. M. van Balkom	16
6	Studying metabolism with multi-organ chips: new tools for disease modelling, pharmacokinetics and pharmacodynamics 2022 ·Open Biology ·(unknown), (unknown), Christian Maaß, Madalena Cipriano, Joeri Lambrecht, Frank Tacke, Alexander S. Mosig, Peter Loskill	33
7	Modelling human liver fibrosis in the context of non-alcoholic steatohepatitis using a microphysiological system 2021 ·Communications Biology ·Tomasz Kostrzewski, (unknown), (unknown), S Peel, Zahida Ahmad, (unknown), (unknown), Aurélie Bornot, Julia Lindgren, Maria Ryaboshapkina, Maryam Clausen, Daniel Lindén, Christian Maaß, (unknown), Adam Corrigan, Lorna Ewart, David Hughes	33
8	Minimal brain PBPK model to support the preclinical and clinical development of antibody therapeutics for CNS diseases 2021 ·Journal of Pharmacokinetics and Pharmacodynamics ·(unknown), Suruchi Bakshi, Christian Maaß, (unknown), César Pichardo‐Almarza, Daniela Bumbaca Yadav, (unknown), Nitin Mehrotra	23
9	Gut-Liver Physiomimetics Reveal Paradoxical Modulation of IBD-Related Inflammation by Short-Chain Fatty Acids 2020 ·Cell Systems ·Martin Trapečar, Catherine Communal, Jason Velazquez, Christian Maaß, Yu-Ja Huang, Kirsten Schneider, Charles Wright, Vincent L. Butty, George Eng, Ömer Yılmaz, David L. Trumper, Linda G. Griffith	147
10	Translational Assessment of Drug‐Induced Proximal Tubule Injury Using a Kidney Microphysiological System 2019 ·CPT Pharmacometrics & Systems Pharmacology ·Christian Maaß, (unknown), Jonathan Himmelfarb, Edward J. Kelly, Cynthia L. Stokes, Murat Cirit	49
11	Establishing quasi-steady state operations of microphysiological systems (MPS) using tissue-specific metabolic dependencies 2018 ·Scientific Reports ·Christian Maaß, Matthew Dallas, (unknown), Michael Shockley, Jorge Valdez, Emily Geishecker, Cynthia L. Stokes, Linda G. Griffith, Murat Cirit	20
12	Multi-functional scaling methodology for translational pharmacokinetic and pharmacodynamic applications using integrated microphysiological systems (MPS) 2017 ·Integrative Biology ·Christian Maaß, Cynthia L. Stokes, Linda G. Griffith, Murat Cirit	60
13	Dependence of treatment planning accuracy in peptide receptor radionuclide therapy on the sampling schedule 2016 ·EJNMMI Research ·Christian Maaß, (unknown), Deni Hardiansyah, Felix M. Mottaghy, Peter Kletting, Gerhard Glatting	30
14	Physiologically based pharmacokinetic modeling of 18F-SiFAlin-Asp3-PEG1-TATE in AR42J tumor bearing mice 2016 ·Nuclear Medicine and Biology ·Christian Maaß, (unknown), (unknown), Deni Hardiansyah, Sabrina Niedermoser, (unknown), Carmen Wängler, Björn Wängler, Gerhard Glatting	2
15	Population-Based Modeling Improves Treatment Planning Before ⁹⁰ Y-Labeled Anti-CD66 Antibody Radioimmunotherapy 2015 ·Cancer Biotherapy and Radiopharmaceuticals ·Christian Maaß, Peter Kletting, Donald Bunjes, (unknown), Ambros J. Beer, Gerhard Glatting	8
16	Physiologically Based Pharmacokinetic Modeling Is Essential in 90Y-Labeled Anti-CD66 Radioimmunotherapy 2015 ·PLoS ONE ·Peter Kletting, Christian Maaß, Sven N. Reske, Ambros J. Beer, Gerhard Glatting	24
17	The role of patient-based treatment planning in peptide receptor radionuclide therapy 2015 ·European Journal of Nuclear Medicine and Molecular Imaging ·Deni Hardiansyah, Christian Maaß, (unknown), (unknown), Peter Kletting, Felix M. Mottaghy, Gerhard Glatting	50
18	Optimized Peptide Amount and Activity for ⁹⁰Y-Labeled DOTATATE Therapy 2015 ·Journal of Nuclear Medicine ·Peter Kletting, Thomas Kull, Christian Maaß, Noeen Malik, Markus Luster, Ambros J. Beer, Gerhard Glatting	47

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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