Michael Leiß

1.1k total citations
20 papers, 896 citations indexed

About

Michael Leiß is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging and Immunology and Allergy. According to data from OpenAlex, Michael Leiß has authored 20 papers receiving a total of 896 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 8 papers in Radiology, Nuclear Medicine and Imaging and 3 papers in Immunology and Allergy. Recurrent topics in Michael Leiß's work include Protein purification and stability (14 papers), Viral Infectious Diseases and Gene Expression in Insects (11 papers) and Monoclonal and Polyclonal Antibodies Research (8 papers). Michael Leiß is often cited by papers focused on Protein purification and stability (14 papers), Viral Infectious Diseases and Gene Expression in Insects (11 papers) and Monoclonal and Polyclonal Antibodies Research (8 papers). Michael Leiß collaborates with scholars based in Germany, Switzerland and Italy. Michael Leiß's co-authors include Reinhard Fässler, Mercedes Costell, Karsten Beckmann, Seiichiro Takahashi, Patrick Bulau, Harald Wegele, Markus Moser, Junichi Takagi, Alexander Pfeifer and Dominik Heckmann and has published in prestigious journals such as The Journal of Cell Biology, Current Opinion in Cell Biology and Journal of Chromatography A.

In The Last Decade

Michael Leiß

19 papers receiving 873 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michael Leiß Germany 13 564 236 230 165 143 20 896
Bingyan Wu United States 10 346 0.6× 117 0.5× 309 1.3× 102 0.6× 131 0.9× 26 982
Andrea Koenig United States 8 549 1.0× 95 0.4× 208 0.9× 208 1.3× 91 0.6× 8 945
Joerg H.O. Garbe Switzerland 7 376 0.7× 121 0.5× 138 0.6× 113 0.7× 54 0.4× 9 612
Susann Schenk Germany 8 367 0.7× 47 0.2× 270 1.2× 191 1.2× 34 0.2× 8 791
Anthony B. Chen United States 8 301 0.5× 110 0.5× 329 1.4× 117 0.7× 64 0.4× 10 673
D. Eichenberger France 20 527 0.9× 85 0.4× 161 0.7× 249 1.5× 46 0.3× 32 1.1k
Tara Pouyani United States 8 324 0.6× 79 0.3× 214 0.9× 244 1.5× 71 0.5× 11 710
Sylvain D. Vallet France 14 547 1.0× 34 0.1× 137 0.6× 347 2.1× 34 0.2× 19 1.1k
Markus Nieberler Germany 14 315 0.6× 121 0.5× 222 1.0× 49 0.3× 119 0.8× 34 770
Elly M. M. Versteeg Netherlands 19 459 0.8× 47 0.2× 93 0.4× 467 2.8× 104 0.7× 45 1.0k

Countries citing papers authored by Michael Leiß

Since Specialization
Citations

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

Fields of papers citing papers by Michael Leiß

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Leiß

This figure shows the co-authorship network connecting the top 25 collaborators of Michael Leiß. A scholar is included among the top collaborators of Michael Leiß 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 Michael Leiß. Michael Leiß 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.
Bonnington, Lea, et al.. (2025). Rapid At‐Line AAVX Affinity HPLC: Enabling Process Analytical Technology for Bioprocess Development of Adeno‐Associated Virus Vectors. Biotechnology Journal. 20(3). e202400656–e202400656. 1 indexed citations
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Leiß, Michael, et al.. (2023). Effects of Different Container Types on (1→3)-β-D-glucan Recovery. Molecules. 28(19). 6931–6931.
5.
Martínez, Andrés, Markus Haindl, Michael Leiß, et al.. (2023). Fast HPLC-based affinity method to determine capsid titer and full/empty ratio of adeno-associated viral vectors. Molecular Therapy — Methods & Clinical Development. 31. 101148–101148. 6 indexed citations
6.
Graf, Tobias, Lars Hillringhaus, Frank Bergmann, et al.. (2023). A fast and sensitive high-throughput assay to assess polysorbate-degrading hydrolytic activity in biopharmaceuticals. European Journal of Pharmaceutics and Biopharmaceutics. 187. 120–129. 10 indexed citations
7.
Wuchner, Klaus, Cyrille C. Chéry, George Crotts, et al.. (2022). Industry Perspective on the Use and Characterization of Polysorbates for Biopharmaceutical Products Part 2: Survey Report on Control Strategy Preparing for the Future. Journal of Pharmaceutical Sciences. 111(11). 2955–2967. 38 indexed citations
8.
Wuchner, Klaus, Cyrille C. Chéry, George Crotts, et al.. (2022). Industry Perspective on the use and Characterization of Polysorbates for Biopharmaceutical Products Part 1: Survey Report on Current State and Common Practices for Handling and Control of Polysorbates. Journal of Pharmaceutical Sciences. 111(5). 1280–1291. 56 indexed citations
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Camperi, Julien, Martin Winter, Patrick Bulau, et al.. (2021). Inter-laboratory study to evaluate the performance of automated online characterization of antibody charge variants by multi-dimensional LC-MS/MS. Talanta. 234. 122628–122628. 22 indexed citations
11.
Gstöttner, Christoph, et al.. (2021). Fast analysis of antibody-derived therapeutics by automated multidimensional liquid chromatography – Mass spectrometry. Analytica Chimica Acta. 1184. 339015–339015. 23 indexed citations
12.
Graf, Tobias, Anthony A. G. Tomlinson, Inn H. Yuk, et al.. (2021). Identification and Characterization of Polysorbate-Degrading Enzymes in a Monoclonal Antibody Formulation. Journal of Pharmaceutical Sciences. 110(11). 3558–3567. 46 indexed citations
13.
Graf, Tobias, et al.. (2020). Recent advances in LC–MS based characterization of protein-based bio-therapeutics – mastering analytical challenges posed by the increasing format complexity. Journal of Pharmaceutical and Biomedical Analysis. 186. 113251–113251. 33 indexed citations
14.
Graf, Tobias, Kathrin Abstiens, Frank Wedekind, et al.. (2020). Controlled polysorbate 20 hydrolysis – A new approach to assess the impact of polysorbate 20 degradation on biopharmaceutical product quality in shortened time. European Journal of Pharmaceutics and Biopharmaceutics. 152. 318–326. 22 indexed citations
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Haberger, Markus, Michael Leiß, Michaela Hook, et al.. (2015). Rapid characterization of biotherapeutic proteins by size-exclusion chromatography coupled to native mass spectrometry. mAbs. 8(2). 331–339. 113 indexed citations
17.
Leiß, Michael, et al.. (2015). Getting CHO host cell protein analysis up to speed. Zenodo (CERN European Organization for Nuclear Research). 3(1). 13–23. 3 indexed citations
18.
Salmenperä, Pertteli, Esko Kankuri, Jozef Bízik, et al.. (2008). Formation and activation of fibroblast spheroids depend on fibronectin–integrin interaction. Experimental Cell Research. 314(19). 3444–3452. 66 indexed citations
19.
Leiß, Michael, et al.. (2008). The role of integrin binding sites in fibronectin matrix assembly in vivo. Current Opinion in Cell Biology. 20(5). 502–507. 230 indexed citations
20.
Takahashi, Seiichiro, Michael Leiß, Markus Moser, et al.. (2007). The RGD motif in fibronectin is essential for development but dispensable for fibril assembly. The Journal of Cell Biology. 178(1). 167–178. 164 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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