Markus Decker
Impact in
- Aging top 5%
- Genetics, Aging, and Longevity in Model Organisms
- Cell Biology top 5%
- Microtubule and mitosis dynamics
Papers in
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- Microtubule and mitosis dynamics 6
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- Photosynthetic Processes and Mechanisms 3
- TGF-β signaling in diseases 1
- Co-authors
- Steffen Jaensch (4 shared papers)Anthony A. Hyman (4 shared papers)Hua Gao (2 shared papers)Goutam Chakraborty (2 shared papers)Qianxing Mo (2 shared papers)Filippo G. Giancotti (2 shared papers)Edi Brogi (2 shared papers)Alin Vonica (2 shared papers)
- Journals
- Cell (2 papers)Frontiers in Oncology (1 paper)Current Biology (1 paper)PLoS Genetics (1 paper)Journal of Biological Chemistry (1 paper)
- Partner nations
- GermanyUnited StatesNetherlands
In The Last Decade
Markus Decker
12 papers receiving 816 citations
Peers
Comparison fields: 5 of 81
- Aging 53
- Cell Biology 278
- Oncology 274
- Cancer Research 133
- Molecular Biology 551
Countries citing papers authored by Markus Decker
This map shows the geographic impact of Markus Decker'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 Markus Decker with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Markus Decker more than expected).
Fields of papers citing papers by Markus Decker
This network shows the impact of papers produced by Markus Decker. 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 Markus Decker. The network helps show where Markus Decker may publish in the future.
Co-authors
The 25 scholars most cited alongside Markus Decker, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 337 | |
| 2 | 2011 | 161 | |
| 3 | 2014 | 159 | |
| 4 | 2006 | 59 | |
| 5 | 2010 | 27 | |
| 6 | 2020 | 23 | |
| 7 | 2017 | 22 | |
| 8 | 2012 | 15 | |
| 9 | 2003 | 9 | |
| 10 | 2004 | 7 | |
| 11 | 2022 | 5 | |
| 12 | Centrosomes are autocatalytic droplets of pericentriolar material organized by centrioles | 2014 | 2 |
| 13 | Jugendschutz und neue Medien : Grundfragen des Jugendmedienschutzes in den Bereichen Bildschirmspiele und Internet | 2005 | 0 |
About Markus Decker
Markus Decker is a scholar working on Cell Biology, Molecular Biology, Oncology, Astronomy and Astrophysics and Radiology, Nuclear Medicine and Imaging, having authored 13 papers that have together received 826 indexed citations. Recurring topics across this work include Microtubule and mitosis dynamics (6 papers), Photosynthetic Processes and Mechanisms (3 papers), Origins and Evolution of Life (2 papers), Genetics, Aging, and Longevity in Model Organisms (2 papers), Neuroblastoma Research and Treatments (1 paper), Plant Molecular Biology Research (1 paper), Cytomegalovirus and herpesvirus research (1 paper) and TGF-β signaling in diseases (1 paper). The work is most often cited by research in Aging (53 citations), Cell Biology (278 citations), Oncology (274 citations), Cancer Research (133 citations) and Molecular Biology (551 citations). Markus Decker has collaborated with scholars based in Germany, United States and Netherlands. Frequent co-authors include Steffen Jaensch, Anthony A. Hyman, Hua Gao, Goutam Chakraborty, Qianxing Mo, Filippo G. Giancotti, Edi Brogi, Alin Vonica, Ai Ping Lee-Lim and Ali H. Brivanlou. Their work appears in journals such as Cell, Frontiers in Oncology, Current Biology, PLoS Genetics and Journal of Biological Chemistry.
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.