Daniel Ley
Impact in
-
- Viral Infectious Diseases and Gene Expression in Insects
- Microbial Metabolic Engineering and Bioproduction
- Protein purification and stability
- CRISPR and Genetic Engineering
- Gene Regulatory Network Analysis
Papers in
-
- Viral Infectious Diseases and Gene Expression in Insects 8
- CRISPR and Genetic Engineering 6
- Microbial Metabolic Engineering and Bioproduction 5
- Protein purification and stability 2
- RNA and protein synthesis mechanisms 1
- Co-authors
- Helene Faustrup Kildegaard (6 shared papers)Mikael Rørdam Andersen (5 shared papers)Nathan E. Lewis (3 shared papers)Gyun Min Lee (3 shared papers)Lasse Ebdrup Pedersen (3 shared papers)Bjørn Gunnar Rude Voldborg (2 shared papers)Jahir M. Gutierrez (2 shared papers)Bernhard Ørn Palsson (2 shared papers)
- Journals
- Nature Communications (2 papers)Nature Metabolism (1 paper)Journal of Biotechnology (1 paper)Biotechnology and Bioengineering (1 paper)Cell Systems (1 paper)
- Partner nations
- DenmarkUnited StatesSouth Korea
In The Last Decade
Daniel Ley
9 papers receiving 504 citations
Peers
Comparison fields: 5 of 51
- Molecular Biology 477
- Biotechnology 37
- Physical and Theoretical Chemistry 38
- Radiology, Nuclear Medicine and Imaging 71
- Genetics 84
Countries citing papers authored by Daniel Ley
This map shows the geographic impact of Daniel Ley'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 Ley with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Ley more than expected).
Fields of papers citing papers by Daniel Ley
This network shows the impact of papers produced by Daniel Ley. 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 Ley. The network helps show where Daniel Ley may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Ley, 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 | 197 | |
| 2 | 2020 | 94 | |
| 3 | 2020 | 91 | |
| 4 | 2017 | 46 | |
| 5 | 2019 | 30 | |
| 6 | 2017 | 18 | |
| 7 | 2015 | 18 | |
| 8 | 2025 | 9 | |
| 9 | 2019 | 7 |
About Daniel Ley
Daniel Ley is a scholar working on Molecular Biology, Biotechnology, Cell Biology, Radiology, Nuclear Medicine and Imaging and Oncology, having authored 9 papers that have together received 510 indexed citations. Recurring topics across this work include Viral Infectious Diseases and Gene Expression in Insects (8 papers), CRISPR and Genetic Engineering (6 papers), Microbial Metabolic Engineering and Bioproduction (5 papers), Protein purification and stability (2 papers), Pancreatic function and diabetes (1 paper), Monoclonal and Polyclonal Antibodies Research (1 paper), CAR-T cell therapy research (1 paper) and RNA and protein synthesis mechanisms (1 paper). The work is most often cited by research in Molecular Biology (477 citations), Biotechnology (37 citations), Physical and Theoretical Chemistry (38 citations), Radiology, Nuclear Medicine and Imaging (71 citations) and Genetics (84 citations). Daniel Ley has collaborated with scholars based in Denmark, United States and South Korea. Frequent co-authors include Helene Faustrup Kildegaard, Mikael Rørdam Andersen, Nathan E. Lewis, Gyun Min Lee, Lasse Ebdrup Pedersen, Bjørn Gunnar Rude Voldborg, Jahir M. Gutierrez, Bernhard Ørn Palsson, Thomas Beuchert Kallehauge and Shangzhong Li. Their work appears in journals such as Nature Communications, Nature Metabolism, Journal of Biotechnology, Biotechnology and Bioengineering and Cell Systems.
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.