Tim Menzen

1.0k total citations
48 papers, 755 citations indexed

About

Tim Menzen is a scholar working on Molecular Biology, Biomedical Engineering and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Tim Menzen has authored 48 papers receiving a total of 755 indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Molecular Biology, 19 papers in Biomedical Engineering and 13 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Tim Menzen's work include Protein purification and stability (35 papers), Viral Infectious Diseases and Gene Expression in Insects (20 papers) and Microfluidic and Bio-sensing Technologies (13 papers). Tim Menzen is often cited by papers focused on Protein purification and stability (35 papers), Viral Infectious Diseases and Gene Expression in Insects (20 papers) and Microfluidic and Bio-sensing Technologies (13 papers). Tim Menzen collaborates with scholars based in Germany, United States and Netherlands. Tim Menzen's co-authors include Wolfgang Frieß, Andrea Hawe, Gerhard Winter, Wim Jiskoot, Klaus Wuchner, Hristo L. Svilenov, Daan J.A. Crommelin, David B. Volkin, Stylianos Michalakis and Klaus Richter and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Chromatography A and International Journal of Pharmaceutics.

In The Last Decade

Tim Menzen

39 papers receiving 727 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Tim Menzen Germany 16 615 210 180 113 66 48 755
Takahiro Maruno Japan 17 543 0.9× 185 0.9× 121 0.7× 158 1.4× 79 1.2× 54 827
Tetsuo Torisu Japan 14 376 0.6× 158 0.8× 112 0.6× 134 1.2× 57 0.9× 37 502
Muppalla Sukumar United States 13 467 0.8× 171 0.8× 113 0.6× 53 0.5× 43 0.7× 14 609
Mariana N. Dimitrova United States 16 643 1.0× 161 0.8× 134 0.7× 42 0.4× 47 0.7× 22 784
Michaela Blech Germany 18 879 1.4× 423 2.0× 192 1.1× 66 0.6× 101 1.5× 41 1.1k
John P. Gabrielson United States 17 701 1.1× 312 1.5× 128 0.7× 19 0.2× 91 1.4× 25 881
Jason K. Cheung United States 21 1.0k 1.7× 659 3.1× 204 1.1× 33 0.3× 122 1.8× 29 1.2k
Hardeep S. Samra United States 16 835 1.4× 428 2.0× 84 0.5× 133 1.2× 45 0.7× 21 917
David J. Roush United States 21 929 1.5× 393 1.9× 257 1.4× 128 1.1× 25 0.4× 70 1.1k
Hasige A. Sathish United States 20 1.1k 1.9× 764 3.6× 180 1.0× 33 0.3× 72 1.1× 24 1.3k

Countries citing papers authored by Tim Menzen

Since Specialization
Citations

This map shows the geographic impact of Tim Menzen'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 Tim Menzen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tim Menzen more than expected).

Fields of papers citing papers by Tim Menzen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tim Menzen. 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 Tim Menzen. The network helps show where Tim Menzen may publish in the future.

Co-authorship network of co-authors of Tim Menzen

This figure shows the co-authorship network connecting the top 25 collaborators of Tim Menzen. A scholar is included among the top collaborators of Tim Menzen 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 Tim Menzen. Tim Menzen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Schöneich, Christian, et al.. (2025). Direct comparison of single peak and gradient chromatographic methods for routine analysis of surfactants in biopharmaceuticals. European Journal of Pharmaceutical Sciences. 209. 107065–107065.
2.
Wichmann, Christian, et al.. (2025). Reducing dimethyl sulfoxide content in Jurkat cell formulations suitable for cryopreservation. Cryobiology. 119. 105238–105238.
4.
Stadler, Daniela, et al.. (2024). Challenges in the analysis of pharmaceutical lentiviral vector products by orthogonal and complementary physical (nano)particle characterization techniques. European Journal of Pharmaceutics and Biopharmaceutics. 200. 114340–114340. 3 indexed citations
5.
Menzen, Tim, et al.. (2023). Possibilities and limitations of α-relaxation data of amorphous freeze-dried cakes to predict long term IgG1 antibody stability. International Journal of Pharmaceutics. 646. 123445–123445.
6.
Wichmann, Christian, et al.. (2023). Osmotic properties of T cells determined by flow imaging microscopy in comparison to electrical sensing zone analysis. Cryobiology. 113. 104587–104587. 1 indexed citations
8.
Hawe, Andrea, et al.. (2023). Characterization of Virus Particles and Submicron-Sized Particulate Impurities in Recombinant Adeno-Associated Virus Drug Product. Journal of Pharmaceutical Sciences. 112(8). 2190–2202. 12 indexed citations
9.
Minemura, Hiroyuki, Tetsuo Torisu, Susumu Uchiyama, et al.. (2023). Three-Dimensional Homodyne Light Detection (3D-HLD) for High-Throughput Submicron Particle Analysis in (Highly Concentrated) Protein Biopharmaceuticals, Viral Vectors, and LNPs. Journal of Pharmaceutical Sciences. 113(4). 891–899.
10.
Menzen, Tim, et al.. (2023). A model-based optimization strategy to achieve fast and robust freeze-drying cycles. International Journal of Pharmaceutics X. 5. 100180–100180. 8 indexed citations
11.
Torisu, Tetsuo, et al.. (2022). Utility of Three Flow Imaging Microscopy Instruments for Image Analysis in Evaluating four Types of Subvisible Particle in Biopharmaceuticals. Journal of Pharmaceutical Sciences. 111(11). 3017–3028. 13 indexed citations
12.
Frieß, Wolfgang, et al.. (2022). SV-AUC as a stability-indicating method for the characterization of mRNA-LNPs. European Journal of Pharmaceutics and Biopharmaceutics. 182. 152–156. 22 indexed citations
13.
Jiskoot, Wim, et al.. (2022). Comparison of Submicron Particle Counting Methods with a Heat Stressed Monoclonal Antibody: Effect of Electrolytes and Implications on Sample Preparation. Journal of Pharmaceutical Sciences. 111(7). 1992–1999. 5 indexed citations
15.
Menzen, Tim, et al.. (2021). Minimizing Oxidation of Freeze-Dried Monoclonal Antibodies in Polymeric Vials Using a Smart Packaging Approach. Pharmaceutics. 13(10). 1695–1695. 7 indexed citations
17.
Menzen, Tim, et al.. (2019). Backgrounded Membrane Imaging (BMI) for High-Throughput Characterization of Subvisible Particles During Biopharmaceutical Drug Product Development. Journal of Pharmaceutical Sciences. 109(1). 264–276. 34 indexed citations
18.
Martos, Ariadna, Anna Spanopoulou, Tim Menzen, et al.. (2019). Novel High-Throughput Assay for Polysorbate Quantification in Biopharmaceutical Products by Using the Fluorescent Dye DiI. Journal of Pharmaceutical Sciences. 109(1). 646–655. 15 indexed citations
19.
Menzen, Tim, Wolfgang Frieß, Reinhard Nießner, & Christoph Haisch. (2015). Laser-induced breakdown detection of temperature-ramp generated aggregates of therapeutic monoclonal antibody. European Journal of Pharmaceutics and Biopharmaceutics. 94. 463–467. 1 indexed citations
20.
Menzen, Tim & Wolfgang Frieß. (2012). High-Throughput Melting-Temperature Analysis of a Monoclonal Antibody by Differential Scanning Fluorimetry in the Presence of Surfactants. Journal of Pharmaceutical Sciences. 102(2). 415–428. 65 indexed citations

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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