Michael Maier
Impact in
- Cell Biology top 5%
- Microtubule and mitosis dynamics
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- Genomics and Chromatin Dynamics
- DNA Repair Mechanisms
- Photosynthetic Processes and Mechanisms
- Fungal and yeast genetics research
- Ubiquitin and proteasome pathways
Papers in ⓘ
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- Labor market dynamics and wage inequality 9
- Economic Policies and Impacts 3
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- Genomics and Chromatin Dynamics 3
- Co-authors
- Stefan Westermann (3 shared papers)Alexander Schleiffer (2 shared papers)Karl Mechtler (2 shared papers)Fabienne Lampert (2 shared papers)Gabriele Litos (2 shared papers)Daniel E. Heath (2 shared papers)Andrea J. O’Connor (2 shared papers)Bernhard Boockmann (3 shared papers)
In The Last Decade
Michael Maier
27 papers receiving 596 citations
Peers
Comparison fields: 5 of 103
- Cell Biology 278
- Molecular Biology 343
- Plant Science 148
- Economics and Econometrics 88
- Demography 32
Countries citing papers authored by Michael Maier
This map shows the geographic impact of Michael Maier'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 Maier with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Maier more than expected).
Fields of papers citing papers by Michael Maier
This network shows the impact of papers produced by Michael Maier. 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 Maier. The network helps show where Michael Maier may publish in the future.
Co-authors
The 25 scholars most cited alongside Michael Maier, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 142 | |
| 2 | 2014 | 77 | |
| 3 | 2023 | 66 | |
| 4 | 2020 | 55 | |
| 5 | 2016 | 46 | |
| 6 | 2010 | 46 | |
| 7 | 2020 | 33 | |
| 8 | 2012 | 32 | |
| 9 | 2019 | 29 | |
| 10 | 2007 | 22 | |
| 11 | 2006 | 11 | |
| 12 | 2011 | 10 | |
| 13 | 2006 | 8 | |
| 14 | 2017 | 7 | |
| 15 | 2004 | 6 | |
| 16 | 2006 | 5 | |
| 17 | 2010 | 4 | |
| 18 | 2016 | 4 | |
| 19 | Plattformbasierte Erwerbsarbeit: Stand der empirischen Forschung | 2017 | 4 |
| 20 | 1991 | 3 |
About Michael Maier
Michael Maier is a scholar working on Economics and Econometrics, Molecular Biology, Sociology and Political Science, Cell Biology and Demography, having authored 31 papers that have together received 619 indexed citations. Recurring topics across this work include Labor market dynamics and wage inequality (9 papers), Microtubule and mitosis dynamics (5 papers), Retirement, Disability, and Employment (4 papers), Samuel Beckett and Modernism (3 papers), Innovation, Technology, and Society (3 papers), Genomics and Chromatin Dynamics (3 papers), Gender, Labor, and Family Dynamics (3 papers) and Economic Policies and Impacts (3 papers). The work is most often cited by research in Cell Biology (278 citations), Molecular Biology (343 citations), Plant Science (148 citations), Economics and Econometrics (88 citations) and Demography (32 citations). Michael Maier has collaborated with scholars based in Germany, Austria and Australia. Frequent co-authors include Stefan Westermann, Alexander Schleiffer, Karl Mechtler, Fabienne Lampert, Gabriele Litos, Daniel E. Heath, Andrea J. O’Connor, Bernhard Boockmann, Thomas Zwick and Tao Huang. Their work appears in journals such as Nature Cell Biology, Jahrbücher für Nationalökonomie und Statistik, The Journal of Cell Biology, Nature Communications and Journal of the European Economic Association.
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.