Daniel Ley
Impact in
-
- Viral Infectious Diseases and Gene Expression in Insects
- CRISPR and Genetic Engineering
- Protein purification and stability
- Microbial Metabolic Engineering and Bioproduction
- Gene Regulatory Network Analysis
-
- Transgenic Plants and Applications
Papers in
-
- Viral Infectious Diseases and Gene Expression in Insects 6
- CRISPR and Genetic Engineering 4
- Microbial Metabolic Engineering and Bioproduction 3
- Protein purification and stability 2
- Surgery 1
- Pancreatic function and diabetes 1
- Co-authors
- Helene Faustrup Kildegaard (6 shared papers)Nathan E. Lewis (3 shared papers)Mikael Rørdam Andersen (5 shared papers)Gyun Min Lee (3 shared papers)Lasse Ebdrup Pedersen (3 shared papers)Thomas Beuchert Kallehauge (2 shared papers)Bernhard Ø. Palsson (2 shared papers)Shangzhong Li (2 shared papers)
- Journals
- Nature Communications (2 papers)Journal of Biotechnology (1 paper)Metabolic Engineering (1 paper)Biotechnology and Bioengineering (1 paper)Scientific Reports (1 paper)
- Partner nations
- DenmarkUnited StatesSouth Korea
In The Last Decade
Daniel Ley
7 papers receiving 285 citations
Peers
Comparison fields: 5 of 39
- Molecular Biology 267
- Biotechnology 25
- Radiology, Nuclear Medicine and Imaging 56
- Genetics 59
- Aging 3
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 | 2020 | 92 | |
| 2 | 2020 | 85 | |
| 3 | 2017 | 45 | |
| 4 | 2019 | 28 | |
| 5 | 2015 | 17 | |
| 6 | 2017 | 15 | |
| 7 | 2019 | 7 |
About Daniel Ley
Daniel Ley is a scholar working on Molecular Biology, Surgery, Oncology, Radiology, Nuclear Medicine and Imaging and Cell Biology, having authored 7 papers that have together received 289 indexed citations. Recurring topics across this work include Viral Infectious Diseases and Gene Expression in Insects (6 papers), CRISPR and Genetic Engineering (4 papers), Microbial Metabolic Engineering and Bioproduction (3 papers), Protein purification and stability (2 papers), Endoplasmic Reticulum Stress and Disease (1 paper), Transgenic Plants and Applications (1 paper), Monoclonal and Polyclonal Antibodies Research (1 paper) and Pancreatic function and diabetes (1 paper). The work is most often cited by research in Molecular Biology (267 citations), Biotechnology (25 citations), Radiology, Nuclear Medicine and Imaging (56 citations), Genetics (59 citations) and Aging (3 citations). Daniel Ley has collaborated with scholars based in Denmark, United States and South Korea. Frequent co-authors include Helene Faustrup Kildegaard, Nathan E. Lewis, Mikael Rørdam Andersen, Gyun Min Lee, Lasse Ebdrup Pedersen, Thomas Beuchert Kallehauge, Bernhard Ø. Palsson, Shangzhong Li, Jahir M. Gutierrez and Björn G. Voldborg. Their work appears in journals such as Nature Communications, Journal of Biotechnology, Metabolic Engineering, Biotechnology and Bioengineering and Scientific Reports.
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.