Tim Schröder
Impact in
- Biophysics top 5%
- Advanced Fluorescence Microscopy Techniques
Papers in
-
- Advanced biosensing and bioanalysis techniques 14
- RNA Interference and Gene Delivery 11
- DNA and Nucleic Acid Chemistry 3
- Lipid Membrane Structure and Behavior 3
-
- Plasmonic and Surface Plasmon Research 2
- Biosensors and Analytical Detection 2
- Co-authors
- Philip Tinnefeld (16 shared papers)Dongfang Wang (3 shared papers)Carolin Vietz (1 shared paper)Guillermo P. Acuna (1 shared paper)Birka Lalkens (1 shared paper)Florian Steiner (4 shared papers)Djuro Josić (2 shared papers)Egbert Müller (2 shared papers)
- Journals
- Nature Communications (3 papers)Advanced Materials (2 papers)Nano Letters (2 papers)ACS Nano (2 papers)Journal of Chromatography A (1 paper)
- Partner nations
- GermanyUnited StatesUnited Kingdom
In The Last Decade
Tim Schröder
19 papers receiving 390 citations
Peers
Comparison fields: 5 of 54
- Biophysics 53
- Structural Biology 11
- Molecular Biology 312
- Biomedical Engineering 154
- Analytical Chemistry 13
Countries citing papers authored by Tim Schröder
This map shows the geographic impact of Tim Schröder'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 Tim Schröder with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tim Schröder more than expected).
Fields of papers citing papers by Tim Schröder
This network shows the impact of papers produced by Tim Schröder. 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 Tim Schröder. The network helps show where Tim Schröder may publish in the future.
Co-authors
The 25 scholars most cited alongside Tim Schröder, 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 | 2017 | 113 | |
| 2 | 2021 | 47 | |
| 3 | 2019 | 43 | |
| 4 | 2020 | 38 | |
| 5 | 2010 | 30 | |
| 6 | 2021 | 26 | |
| 7 | 2013 | 16 | |
| 8 | 2024 | 16 | |
| 9 | 2023 | 13 | |
| 10 | 2023 | 12 | |
| 11 | 2022 | 11 | |
| 12 | 2022 | 8 | |
| 13 | 2024 | 4 | |
| 14 | 2024 | 4 | |
| 15 | 2012 | 4 | |
| 16 | 2021 | 3 | |
| 17 | 2024 | 2 | |
| 18 | 2023 | 2 | |
| 19 | 2025 | 1 | |
| 20 | 2025 | 0 |
About Tim Schröder
Tim Schröder is a scholar working on Molecular Biology, Biomedical Engineering, Biophysics, Electrical and Electronic Engineering and Materials Chemistry, having authored 20 papers that have together received 393 indexed citations. Recurring topics across this work include Advanced biosensing and bioanalysis techniques (14 papers), RNA Interference and Gene Delivery (11 papers), Advanced Fluorescence Microscopy Techniques (4 papers), DNA and Nucleic Acid Chemistry (3 papers), Lipid Membrane Structure and Behavior (3 papers), Force Microscopy Techniques and Applications (2 papers), Plasmonic and Surface Plasmon Research (2 papers) and Biosensors and Analytical Detection (2 papers). The work is most often cited by research in Biophysics (53 citations), Structural Biology (11 citations), Molecular Biology (312 citations), Biomedical Engineering (154 citations) and Analytical Chemistry (13 citations). Tim Schröder has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include Philip Tinnefeld, Dongfang Wang, Carolin Vietz, Guillermo P. Acuna, Birka Lalkens, Florian Steiner, Djuro Josić, Egbert Müller, Max B. Scheible and Johann Bohlen. Their work appears in journals such as Nature Communications, Advanced Materials, Nano Letters, ACS Nano and Journal of Chromatography A.
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.