Malte Schmick
Impact in
- Cell Biology top 5%
- Cellular transport and secretion
- Cellular Mechanics and Interactions
-
- Protein Kinase Regulation and GTPase Signaling
- Lipid Membrane Structure and Behavior
- Receptor Mechanisms and Signaling
- Ubiquitin and proteasome pathways
- Protein Structure and Dynamics
Papers in
-
- Lipid Membrane Structure and Behavior 4
- Protein Kinase Regulation and GTPase Signaling 2
-
- Cellular transport and secretion 5
- Co-authors
- Philippe I. H. Bastiaens (8 shared papers)Mario Markus (10 shared papers)Eric Goles (2 shared papers)Hernán E. Grecco (1 shared paper)Lisaweta Roßmannek (2 shared papers)Astrid Kraemer (1 shared paper)Bjoern Papke (1 shared paper)Marija Kovačević (1 shared paper)
In The Last Decade
Malte Schmick
16 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 150
- Cell Biology 226
- Molecular Biology 596
- Biophysics 43
- Statistical and Nonlinear Physics 93
- Modeling and Simulation 32
Countries citing papers authored by Malte Schmick
This map shows the geographic impact of Malte Schmick'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 Malte Schmick with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Malte Schmick more than expected).
Fields of papers citing papers by Malte Schmick
This network shows the impact of papers produced by Malte Schmick. 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 Malte Schmick. The network helps show where Malte Schmick may publish in the future.
Co-authors
The 25 scholars most cited alongside Malte Schmick, 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 | 2002 | 387 | |
| 2 | 2011 | 199 | |
| 3 | 2014 | 190 | |
| 4 | 2014 | 114 | |
| 5 | 2015 | 83 | |
| 6 | 2015 | 52 | |
| 7 | 1999 | 40 | |
| 8 | 2017 | 26 | |
| 9 | 2006 | 24 | |
| 10 | 2021 | 14 | |
| 11 | 2015 | 11 | |
| 12 | 2008 | 11 | |
| 13 | 2004 | 4 | |
| 14 | 2000 | 4 | |
| 15 | 2007 | 3 | |
| 16 | 2003 | 2 | |
| 17 | "Granular Clock" and Full Segregation in a Shaken, Binary Granular Medium: Experiments and Simulations | 2006 | 1 |
| 18 | 2006 | 0 |
About Malte Schmick
Malte Schmick is a scholar working on Molecular Biology, Cell Biology, Statistical and Nonlinear Physics, Computational Mechanics and Condensed Matter Physics, having authored 18 papers that have together received 1.2k indexed citations. Recurring topics across this work include Cellular transport and secretion (5 papers), Lipid Membrane Structure and Behavior (4 papers), Granular flow and fluidized beds (4 papers), Advanced Thermodynamics and Statistical Mechanics (2 papers), Quantum chaos and dynamical systems (2 papers), Protein Kinase Regulation and GTPase Signaling (2 papers), Photoreceptor and optogenetics research (2 papers) and Quantum Electrodynamics and Casimir Effect (2 papers). The work is most often cited by research in Cell Biology (226 citations), Molecular Biology (596 citations), Biophysics (43 citations), Statistical and Nonlinear Physics (93 citations) and Modeling and Simulation (32 citations). Malte Schmick has collaborated with scholars based in Germany, Chile and China. Frequent co-authors include Philippe I. H. Bastiaens, Mario Markus, Eric Goles, Hernán E. Grecco, Lisaweta Roßmannek, Astrid Kraemer, Bjoern Papke, Marija Kovačević, Dina C. Truxius and Nachiket Vartak. Their work appears in journals such as Cell, Nature Communications, Mathematical Biosciences, Journal of Biological Chemistry and Complexity.
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.