Daniel Stukenberg
Impact in
- Endocrinology top 10%
- Vibrio bacteria research studies
-
- Microbial Metabolic Engineering and Bioproduction
- CRISPR and Genetic Engineering
- Advanced biosensing and bioanalysis techniques
Papers in
-
- CRISPR and Genetic Engineering 8
- Advanced biosensing and bioanalysis techniques 3
- RNA and protein synthesis mechanisms 1
- Genetics 5
- Bacterial Genetics and Biotechnology 4
- Evolution and Genetic Dynamics 1
- Co-authors
- Georg Fritz (3 shared papers)Benjamin J. Daniel (2 shared papers)Uwe G. Maier (1 shared paper)Stefan Zauner (1 shared paper)B W. Thuronyi (2 shared papers)Torsten Waldminghaus (1 shared paper)Anke Becker (5 shared papers)Jamie N. Tedeschi (1 shared paper)
- Journals
- ACS Synthetic Biology (2 papers)Communications Biology (2 papers)Environmental Microbiology (1 paper)Nucleic Acids Research (1 paper)Frontiers in Plant Science (1 paper)
- Partner nations
- GermanyAustraliaSwitzerland
In The Last Decade
Daniel Stukenberg
8 papers receiving 268 citations
Peers
Comparison fields: 5 of 41
- Endocrinology 61
- Molecular Biology 196
- Renewable Energy, Sustainability and the Environment 48
- Business and International Management 5
- Biomaterials 26
Countries citing papers authored by Daniel Stukenberg
This map shows the geographic impact of Daniel Stukenberg'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 Daniel Stukenberg with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Stukenberg more than expected).
Fields of papers citing papers by Daniel Stukenberg
This network shows the impact of papers produced by Daniel Stukenberg. 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 Daniel Stukenberg. The network helps show where Daniel Stukenberg may publish in the future.
Co-authors
The 10 scholars most cited alongside Daniel Stukenberg, 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 | 2020 | 98 | |
| 2 | 2018 | 73 | |
| 3 | 2021 | 43 | |
| 4 | 2022 | 38 | |
| 5 | 2024 | 7 | |
| 6 | 2024 | 5 | |
| 7 | 2025 | 4 | |
| 8 | 2024 | 1 |
About Daniel Stukenberg
Daniel Stukenberg is a scholar working on Molecular Biology, Genetics, Endocrinology, Business and International Management and Immunology, having authored 8 papers that have together received 269 indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (8 papers), Vibrio bacteria research studies (5 papers), Bacterial Genetics and Biotechnology (4 papers), Advanced biosensing and bioanalysis techniques (3 papers), Evolution and Genetic Dynamics (1 paper), Innovation and Socioeconomic Development (1 paper), Aquaculture disease management and microbiota (1 paper) and RNA and protein synthesis mechanisms (1 paper). The work is most often cited by research in Endocrinology (61 citations), Molecular Biology (196 citations), Renewable Energy, Sustainability and the Environment (48 citations), Business and International Management (5 citations) and Biomaterials (26 citations). Daniel Stukenberg has collaborated with scholars based in Germany, Australia and Switzerland. Frequent co-authors include Georg Fritz, Benjamin J. Daniel, Uwe G. Maier, Stefan Zauner, B W. Thuronyi, Torsten Waldminghaus, Anke Becker, Jamie N. Tedeschi, Timo Glatter and Daniel Schindler. Their work appears in journals such as ACS Synthetic Biology, Communications Biology, Environmental Microbiology, Nucleic Acids Research and Frontiers in Plant Science.
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.