Daniel Strebinger
Impact in
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- CRISPR and Genetic Engineering
- Genomics and Chromatin Dynamics
- Pluripotent Stem Cells Research
- Epigenetics and DNA Methylation
- RNA Research and Splicing
- Single-cell and spatial transcriptomics
- Gene Regulatory Network Analysis
Papers in
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- CRISPR and Genetic Engineering 7
- RNA and protein synthesis mechanisms 4
- Pluripotent Stem Cells Research 3
- RNA modifications and cancer 3
- Genomics and Chromatin Dynamics 2
- RNA Research and Splicing 2
- Viral Infectious Diseases and Gene Expression in Insects 1
- Genetics 2
- Bacterial Genetics and Biotechnology 1
- Co-authors
- David M. Suter (4 shared papers)Elias T. Friman (3 shared papers)Cédric Deluz (3 shared papers)Rhiannon K. Macrae (7 shared papers)Alexander Benke (1 shared paper)Suliana Manley (1 shared paper)Andrea Callegari (1 shared paper)Marion Leleu (1 shared paper)
- Journals
- Nature Communications (3 papers)Molecular Systems Biology (1 paper)Nature Biotechnology (1 paper)Nature Methods (1 paper)Mobile DNA (1 paper)
- Partner nations
- United StatesSwitzerlandGermany
In The Last Decade
Daniel Strebinger
11 papers receiving 317 citations
Peers
Comparison fields: 5 of 46
- Molecular Biology 264
- Biophysics 21
- Business and International Management 4
- Aging 3
- Genetics 36
Countries citing papers authored by Daniel Strebinger
This map shows the geographic impact of Daniel Strebinger'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 Strebinger with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Strebinger more than expected).
Fields of papers citing papers by Daniel Strebinger
This network shows the impact of papers produced by Daniel Strebinger. 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 Strebinger. The network helps show where Daniel Strebinger may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Strebinger, 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 | 2016 | 118 | |
| 2 | 2019 | 55 | |
| 3 | 2023 | 54 | |
| 4 | 2020 | 19 | |
| 5 | 2025 | 18 | |
| 6 | 2025 | 18 | |
| 7 | 2025 | 15 | |
| 8 | 2017 | 9 | |
| 9 | 2017 | 9 | |
| 10 | 2025 | 4 | |
| 11 | 2025 | 1 | |
| 12 | 2024 | 0 |
About Daniel Strebinger
Daniel Strebinger is a scholar working on Molecular Biology, Genetics, Cardiology and Cardiovascular Medicine, Ecology and Oncology, having authored 12 papers that have together received 320 indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (7 papers), RNA and protein synthesis mechanisms (4 papers), Pluripotent Stem Cells Research (3 papers), RNA modifications and cancer (3 papers), Genomics and Chromatin Dynamics (2 papers), RNA Research and Splicing (2 papers), Bacterial Genetics and Biotechnology (1 paper) and Viral Infectious Diseases and Gene Expression in Insects (1 paper). The work is most often cited by research in Molecular Biology (264 citations), Biophysics (21 citations), Business and International Management (4 citations), Aging (3 citations) and Genetics (36 citations). Daniel Strebinger has collaborated with scholars based in United States, Switzerland and Germany. Frequent co-authors include David M. Suter, Elias T. Friman, Cédric Deluz, Rhiannon K. Macrae, Alexander Benke, Suliana Manley, Andrea Callegari, Marion Leleu, Feng Zhang and Mirco Friedrich. Their work appears in journals such as Nature Communications, Molecular Systems Biology, Nature Biotechnology, Nature Methods and Mobile DNA.
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.