Thomas Gerling
Impact in
- Molecular Biology top 5%
- Advanced biosensing and bioanalysis techniques
- RNA Interference and Gene Delivery
- DNA and Nucleic Acid Chemistry
- Ecology top 5%
- Bacteriophages and microbial interactions
Papers in
-
- Advanced biosensing and bioanalysis techniques 12
- RNA Interference and Gene Delivery 9
- DNA and Nucleic Acid Chemistry 4
- Ecology 6
- Bacteriophages and microbial interactions 6
- Co-authors
- Hendrik Dietz (12 shared papers)Klaus F. Wagenbauer (3 shared papers)Andrea M. Neuner (2 shared papers)Benjamin Kick (2 shared papers)Thomas G. Martin (2 shared papers)Massimo Kube (2 shared papers)Pierre Stömmer (2 shared papers)Philip Ketterer (1 shared paper)
- Journals
- Nano Letters (2 papers)Science (2 papers)ACS Nano (1 paper)ChemBioChem (1 paper)Nature Communications (1 paper)
- Partner nations
- GermanyUnited StatesUnited Kingdom
In The Last Decade
Thomas Gerling
13 papers receiving 1.5k citations
Thomas Gerling's Hit Papers
Peers
Comparison fields: 5 of 55
- Molecular Biology 1.4k
- Ecology 334
- Biomedical Engineering 481
- Structural Biology 13
- Biomaterials 84
Countries citing papers authored by Thomas Gerling
This map shows the geographic impact of Thomas Gerling'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 Thomas Gerling with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thomas Gerling more than expected).
Fields of papers citing papers by Thomas Gerling
This network shows the impact of papers produced by Thomas Gerling. 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 Thomas Gerling. The network helps show where Thomas Gerling may publish in the future.
Co-authors
The 25 scholars most cited alongside Thomas Gerling, 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 | Dynamic DNA devices and assemblies formed by shape-complementary, non–base pairing 3D components Hit paper breakdown → | 2015 | 562 |
| 2 | 2012 | 250 | |
| 3 | 2018 | 226 | |
| 4 | 2017 | 159 | |
| 5 | 2019 | 114 | |
| 6 | 2020 | 45 | |
| 7 | 2019 | 41 | |
| 8 | 2018 | 37 | |
| 9 | 2011 | 35 | |
| 10 | 2016 | 32 | |
| 11 | 2019 | 10 | |
| 12 | 2021 | 5 | |
| 13 | 2015 | 2 |
About Thomas Gerling
Thomas Gerling is a scholar working on Molecular Biology, Ecology, Electrical and Electronic Engineering, Biomedical Engineering and Cellular and Molecular Neuroscience, having authored 13 papers that have together received 1.5k indexed citations. Recurring topics across this work include Advanced biosensing and bioanalysis techniques (12 papers), RNA Interference and Gene Delivery (9 papers), Bacteriophages and microbial interactions (6 papers), DNA and Nucleic Acid Chemistry (4 papers), Molecular Junctions and Nanostructures (1 paper), Neuroscience and Neural Engineering (1 paper), Biosensors and Analytical Detection (1 paper) and EEG and Brain-Computer Interfaces (1 paper). The work is most often cited by research in Molecular Biology (1.4k citations), Ecology (334 citations), Biomedical Engineering (481 citations), Structural Biology (13 citations) and Biomaterials (84 citations). Thomas Gerling has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include Hendrik Dietz, Klaus F. Wagenbauer, Andrea M. Neuner, Benjamin Kick, Thomas G. Martin, Massimo Kube, Pierre Stömmer, Philip Ketterer, Fabian Köhler and Jan Lipfert. Their work appears in journals such as Nano Letters, Science, ACS Nano, ChemBioChem and Nature Communications.
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.