Daniel Strebinger
Impact in
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- CRISPR and Genetic Engineering
- Pluripotent Stem Cells Research
- RNA Interference and Gene Delivery
- Gene Regulatory Network Analysis
- Genomics and Chromatin Dynamics
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- Cancer Research and Treatments
Papers in
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- CRISPR and Genetic Engineering 4
- Pluripotent Stem Cells Research 1
- RNA Interference and Gene Delivery 1
- Gene Regulatory Network Analysis 1
- RNA Research and Splicing 1
- Genetics 3
- Virus-based gene therapy research 2
- Bacterial Genetics and Biotechnology 1
- Co-authors
- Rhiannon K. Macrae (7 shared papers)Feng Zhang (7 shared papers)Guilhem Faure (3 shared papers)Mirco Friedrich (2 shared papers)David M. Suter (2 shared papers)Chris J. Frangieh (3 shared papers)Cédric Deluz (1 shared paper)Elias T. Friman (1 shared paper)
- Journals
- Nature Communications (3 papers)Journal of Clinical Investigation (1 paper)Mobile DNA (1 paper)Nature Methods (1 paper)Cell Genomics (1 paper)
- Partner nations
- United StatesSwitzerlandGermany
In The Last Decade
Daniel Strebinger
12 papers receiving 231 citations
Peers
Comparison fields: 5 of 45
- Molecular Biology 163
- Biotechnology 12
- Genetics 26
- Health Informatics 2
- Oncology 16
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 | 2023 | 65 | |
| 2 | 2019 | 57 | |
| 3 | 2025 | 25 | |
| 4 | 2025 | 23 | |
| 5 | 2025 | 22 | |
| 6 | 2020 | 21 | |
| 7 | 2017 | 9 | |
| 8 | 2025 | 6 | |
| 9 | 2023 | 4 | |
| 10 | 2025 | 4 | |
| 11 | 2024 | 1 | |
| 12 | 2025 | 1 |
About Daniel Strebinger
Daniel Strebinger is a scholar working on Molecular Biology, Genetics, Biotechnology, Biophysics and Infectious Diseases, having authored 12 papers that have together received 238 indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (4 papers), Virus-based gene therapy research (2 papers), Pluripotent Stem Cells Research (1 paper), RNA Interference and Gene Delivery (1 paper), Gene Regulatory Network Analysis (1 paper), Advanced Fluorescence Microscopy Techniques (1 paper), RNA Research and Splicing (1 paper) and Bacterial Genetics and Biotechnology (1 paper). The work is most often cited by research in Molecular Biology (163 citations), Biotechnology (12 citations), Genetics (26 citations), Health Informatics (2 citations) and Oncology (16 citations). Daniel Strebinger has collaborated with scholars based in United States, Switzerland and Germany. Frequent co-authors include Rhiannon K. Macrae, Feng Zhang, Guilhem Faure, Mirco Friedrich, David M. Suter, Chris J. Frangieh, Cédric Deluz, Elias T. Friman, Andrea Brigitta Alber and Subashika Govindan. Their work appears in journals such as Nature Communications, Journal of Clinical Investigation, Mobile DNA, Nature Methods and Cell Genomics.
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.