Michael Mayer

10.4k total citations · 3 hit papers
155 papers, 8.0k citations indexed

About

Michael Mayer is a scholar working on Molecular Biology, Biomedical Engineering and Electrical and Electronic Engineering. According to data from OpenAlex, Michael Mayer has authored 155 papers receiving a total of 8.0k indexed citations (citations by other indexed papers that have themselves been cited), including 80 papers in Molecular Biology, 79 papers in Biomedical Engineering and 18 papers in Electrical and Electronic Engineering. Recurrent topics in Michael Mayer's work include Nanopore and Nanochannel Transport Studies (54 papers), Lipid Membrane Structure and Behavior (44 papers) and Microfluidic and Capillary Electrophoresis Applications (25 papers). Michael Mayer is often cited by papers focused on Nanopore and Nanochannel Transport Studies (54 papers), Lipid Membrane Structure and Behavior (44 papers) and Microfluidic and Capillary Electrophoresis Applications (25 papers). Michael Mayer collaborates with scholars based in United States, Switzerland and Germany. Michael Mayer's co-authors include Jerry Yang, George M. Whitesides, Erik C. Yusko, Sheereen Majd, Daniel J. Estes, Jonathan List, Horst Vogel, Willow R. DiLuzio, Panchika Prangkio and Douglas B. Weibel and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Michael Mayer

151 papers receiving 7.9k citations

Hit Papers

Synthetic Lipid Membrane Channels Formed by Designed DNA ... 2011 2026 2016 2021 2012 2011 2017 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michael Mayer United States 45 4.8k 3.4k 1.5k 702 622 155 8.0k
Jean‐Louis Viovy France 52 6.3k 1.3× 2.6k 0.8× 1.7k 1.2× 814 1.2× 326 0.5× 235 10.0k
Thomas Laurell Sweden 57 10.5k 2.2× 2.7k 0.8× 3.1k 2.1× 612 0.9× 279 0.4× 311 13.5k
Rumiana Dimova Germany 57 3.2k 0.7× 6.4k 1.9× 745 0.5× 1.5k 2.1× 416 0.7× 204 10.4k
Ulrich F. Keyser United Kingdom 59 8.1k 1.7× 5.4k 1.6× 2.2k 1.5× 1.3k 1.8× 152 0.2× 208 12.2k
Jean‐Christophe Baret France 48 7.3k 1.5× 2.2k 0.6× 4.8k 3.2× 1.0k 1.4× 531 0.9× 96 10.7k
Hiroyuki Noji Japan 54 2.5k 0.5× 9.9k 2.9× 1.1k 0.7× 956 1.4× 259 0.4× 236 13.4k
Amy C. Rowat United States 33 3.5k 0.7× 2.0k 0.6× 1.2k 0.8× 413 0.6× 121 0.2× 79 6.1k
Rong Fan United States 50 5.4k 1.1× 4.5k 1.3× 2.5k 1.7× 2.3k 3.3× 126 0.2× 161 12.0k
Oscar Ces United Kingdom 42 2.2k 0.5× 3.4k 1.0× 568 0.4× 779 1.1× 307 0.5× 149 5.9k
Bi‐Feng Liu China 49 4.4k 0.9× 3.3k 1.0× 686 0.5× 941 1.3× 332 0.5× 267 8.0k

Countries citing papers authored by Michael Mayer

Since Specialization
Citations

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

Fields of papers citing papers by Michael Mayer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Mayer

This figure shows the co-authorship network connecting the top 25 collaborators of Michael Mayer. A scholar is included among the top collaborators of Michael Mayer 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 Mayer. Michael Mayer 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.
Bourassa, Steven C., et al.. (2025). Reflections on hedonic price modeling. Journal of European real estate research. 18(2). 199–213.
3.
Liu, Peng, Philip B. V. Scholten, Marcos Penedo, et al.. (2024). Large-area, self-healing block copolymer membranes for energy conversion. Nature. 630(8018). 866–871. 22 indexed citations
4.
Dodero, Andrea, et al.. (2024). Nafion membranes for power generation from physiologic ion gradients. RSC Applied Polymers. 3(1). 209–221. 3 indexed citations
5.
Ianiro, Alessandro, José Augusto Berrocal, Remco Tuinier, Michael Mayer, & Christoph Weder. (2023). Computational design of anisotropic nanocomposite actuators. The Journal of Chemical Physics. 158(1). 14901–14901. 2 indexed citations
6.
Mayer, Michael, Daniel M. Meier, & Mario V. Wüthrich. (2023). SHAP for Actuaries: Explain any Model. SSRN Electronic Journal. 6 indexed citations
7.
Ying, Cuifeng, Christopher Parmenter, Lei Xu, et al.. (2023). Optical Monitoring of In Situ Iron Loading into Single, Native Ferritin Proteins. Nano Letters. 23(8). 3251–3258. 23 indexed citations
8.
Fountain‐Jones, Nicholas M., Christopher P. Kozakiewicz, Brenna R. Forester, et al.. (2021). MrIML: Multi‐response interpretable machine learning to model genomic landscapes. Molecular Ecology Resources. 21(8). 2766–2781. 8 indexed citations
9.
Li, Jiali, et al.. (2020). Protein Trapping in a Nanopore Well. Biophysical Journal. 118(3). 157a–157a. 1 indexed citations
10.
Grandin, H. Michelle, Orane Guillaume‐Gentil, Tomaso Zambelli, et al.. (2018). Bioinspired, nanoscale approaches in contemporary bioanalytics (Review). Biointerphases. 13(4). 40801–40801. 11 indexed citations
11.
Liu, Haiyan, David Sept, Khyati Kapoor, Suresh V. Ambudkar, & Michael Mayer. (2014). Functional Assay for Characterizing Human P-Glycoprotein Transport using the Pore Forming Peptide Gramicidin A. Biophysical Journal. 106(2). 791a–791a.
12.
Majd, Sheereen, Erik C. Yusko, Jerry Yang, David Sept, & Michael Mayer. (2013). A Model for the Interfacial Kinetics of Phospholipase D Activity on Long-Chain Lipids. Biophysical Journal. 105(1). 146–153. 11 indexed citations
13.
Langecker, Martin, Vera Arnaut, Thomas G. Martin, et al.. (2012). Synthetic Lipid Membrane Channels Formed by Designed DNA Nanostructures. Science. 338(6109). 932–936. 639 indexed citations breakdown →
14.
Schlamadinger, Diana E., et al.. (2011). Using Charge to Control the Functional Properties of Self‐Assembled Nanopores in Membranes. Small. 7(14). 2016–2020. 4 indexed citations
15.
Estes, Daniel J., et al.. (2011). Peripherally induced human regulatory T cells uncouple Kv1.3 activation from TCR‐associated signaling. European Journal of Immunology. 41(11). 3170–3175. 13 indexed citations
16.
Yusko, Erik C., Jay M. Johnson, Yazan N. Billeh, et al.. (2010). Lipid Bilayers in Nanopores to Vary their Diameter, Characterize Amyloid-β Aggregates and Monitor the Activity of Membrane-Active Enzymes. Biophysical Journal. 98(3). 598a–598a. 1 indexed citations
17.
Weibel, Douglas B., Piotr Garstecki, Declan Ryan, et al.. (2005). Microoxen: Microorganisms to move microscale loads. Proceedings of the National Academy of Sciences. 102(34). 11963–11967. 351 indexed citations
18.
Estes, Daniel J. & Michael Mayer. (2005). Electroformation of giant liposomes from spin-coated films of lipids. Colloids and Surfaces B Biointerfaces. 42(2). 115–123. 83 indexed citations
19.
Mayer, Michael, et al.. (2003). Untersuchung der Abscheidung submikroner Aerosole im Unterdruckzyklon. Chemie Ingenieur Technik. 75(5). 568–572. 1 indexed citations
20.
Tarshis, Mark, et al.. (1993). Mycoplasma cells stimulate in vitro activation of plasminogen by purified tissue-type plasminogen activator. FEMS Microbiology Letters. 106(2). 201–204. 9 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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