Stefan Diez
- Cell Biology top 0.1%
- Molecular Biology top 2%
- Electrical and Electronic Engineering top 5%
- Condensed Matter Physics top 1%
- Biomedical Engineering top 5%
- Co-authors
- Jonathon HowardLeonid IonovFelix RuhnowTill KortenCécile LeducMarcus BraunR. LudwigH.G. Weber
- Topics
- Microtubule and mitosis dynamics (86 papers)Micro and Nano Robotics (40 papers)Optical Network Technologies (40 papers)
- Partner nations
- GermanyUnited StatesSweden
In The Last Decade
Stefan Diez
169 papers receiving 6.5k citations
Peers
Comparison fields: 5 of 143
- Cell Biology 3.7k
- Molecular Biology 3.0k
- Electrical and Electronic Engineering 1.1k
- Condensed Matter Physics 1.0k
- Biomedical Engineering 917
Countries citing papers authored by Stefan Diez
This map shows the geographic impact of Stefan Diez'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 Stefan Diez with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stefan Diez more than expected).
Fields of papers citing papers by Stefan Diez
This network shows the impact of papers produced by Stefan Diez. 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 Stefan Diez. The network helps show where Stefan Diez may publish in the future.
Co-authorship network of co-authors of Stefan Diez
This figure shows the co-authorship network connecting the top 25 collaborators of Stefan Diez. A scholar is included among the top collaborators of Stefan Diez 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 Stefan Diez. Stefan Diez is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 0 | |
| 3 | 2 | |
| 4 | 10 | |
| 5 | 2 | |
| 6 | 3 | |
| 7 | 31 | |
| 8 | 12 | |
| 9 | 6 | |
| 10 | 53 | |
| 11 | 103 | |
| 12 | 17 | |
| 13 | 18 | |
| 14 | 61 | |
| 15 | 3 | |
| 16 | 54 | |
| 17 | NANOTECHNOLOGICAL APPLICATIONS OF BIOMOLECULAR MOTOR SYSTEMS | 1 |
| 18 | A Tunable Femtosecond Modelocked Semiconductor Laser for Applications in OTDM-Systems | 29 |
| 19 | A Novel All-Optical Switch for Demultiplexing in OTDM-Systems demonstrated in a 640Gbit/s WDM/TDM Experiment | 2 |
| 20 | Four-wave mixing in semiconductor laser amplifiers: phase matching in configurations with three input waves | 4 |
About Stefan Diez
Stefan Diez is a scholar working on Cell Biology, Structural Biology and Condensed Matter Physics, having authored 175 papers that have together received 6.6k indexed citations. Recurring topics across this work include Microtubule and mitosis dynamics (86 papers), Micro and Nano Robotics (40 papers) and Optical Network Technologies (40 papers). The work is most often cited by research in Cell Biology (3.7k citations), Biophysics (506 citations) and Condensed Matter Physics (1.0k citations). Stefan Diez has collaborated with scholars based in Germany, United States and Sweden. Frequent co-authors include Jonathon Howard, Leonid Ionov, Felix Ruhnow, Till Korten, Cécile Leduc, Marcus Braun, R. Ludwig, H.G. Weber, Jonne Helenius and Gary J. Brouhard. Their work appears in journals such as Nature, Cell and Proceedings of the National Academy of Sciences.
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.