Niklas Ermann
Impact in
- Biomedical Engineering top 10%
- Nanopore and Nanochannel Transport Studies
- Microfluidic and Bio-sensing Technologies
Papers in
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- Advanced biosensing and bioanalysis techniques 6
- RNA and protein synthesis mechanisms 2
- RNA modifications and cancer 2
- DNA and Nucleic Acid Chemistry 2
- RNA Research and Splicing 2
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- Nanopore and Nanochannel Transport Studies 9
- Co-authors
- Ulrich F. Keyser (8 shared papers)Kaikai Chen (6 shared papers)Jinbo Zhu (3 shared papers)Jan Lipfert (2 shared papers)Franziska Kriegel (2 shared papers)Jinglin Kong (1 shared paper)Paul Predki (1 shared paper)Karolis Misiunas (1 shared paper)
- Journals
- Nano Letters (3 papers)Journal of Structural Biology (1 paper)Physical Review Applied (1 paper)ChemBioChem (1 paper)Small (1 paper)
- Partner nations
- United KingdomGermanyUnited States
In The Last Decade
Niklas Ermann
12 papers receiving 550 citations
Peers
Comparison fields: 5 of 55
- Biomedical Engineering 377
- Structural Biology 10
- Molecular Biology 368
- Computational Mechanics 76
- Physical and Theoretical Chemistry 29
Countries citing papers authored by Niklas Ermann
This map shows the geographic impact of Niklas Ermann'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 Niklas Ermann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Niklas Ermann more than expected).
Fields of papers citing papers by Niklas Ermann
This network shows the impact of papers produced by Niklas Ermann. 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 Niklas Ermann. The network helps show where Niklas Ermann may publish in the future.
Co-authors
The 25 scholars most cited alongside Niklas Ermann, 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 | 2018 | 128 | |
| 2 | 2016 | 68 | |
| 3 | 2018 | 61 | |
| 4 | 2019 | 56 | |
| 5 | 2021 | 55 | |
| 6 | 2017 | 48 | |
| 7 | 2021 | 46 | |
| 8 | 2019 | 40 | |
| 9 | 2023 | 34 | |
| 10 | 2022 | 14 | |
| 11 | 2025 | 3 | |
| 12 | 2019 | 1 |
About Niklas Ermann
Niklas Ermann is a scholar working on Molecular Biology, Biomedical Engineering, Computational Mechanics, Computational Theory and Mathematics and Infectious Diseases, having authored 12 papers that have together received 554 indexed citations. Recurring topics across this work include Nanopore and Nanochannel Transport Studies (9 papers), Advanced biosensing and bioanalysis techniques (6 papers), Quantum-Dot Cellular Automata (2 papers), Ion-surface interactions and analysis (2 papers), RNA and protein synthesis mechanisms (2 papers), RNA modifications and cancer (2 papers), DNA and Nucleic Acid Chemistry (2 papers) and RNA Research and Splicing (2 papers). The work is most often cited by research in Biomedical Engineering (377 citations), Structural Biology (10 citations), Molecular Biology (368 citations), Computational Mechanics (76 citations) and Physical and Theoretical Chemistry (29 citations). Niklas Ermann has collaborated with scholars based in United Kingdom, Germany and United States. Frequent co-authors include Ulrich F. Keyser, Kaikai Chen, Jinbo Zhu, Jan Lipfert, Franziska Kriegel, Jinglin Kong, Paul Predki, Karolis Misiunas, Ran Tivony and M. Muthukumar. Their work appears in journals such as Nano Letters, Journal of Structural Biology, Physical Review Applied, ChemBioChem and Small.
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.