Daniel Sachs
Impact in
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- Microbial Natural Products and Biosynthesis
Papers in
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- Microbial Metabolic Engineering and Bioproduction 2
- CRISPR and Genetic Engineering 2
- Fungal and yeast genetics research 1
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- Cholinesterase and Neurodegenerative Diseases 1
- Microbial Natural Products and Biosynthesis 1
- Co-authors
- Jay D. Keasling (2 shared papers)Amanda Reider Apel (2 shared papers)Maren Wehrs (1 shared paper)Gary J. Tong (1 shared paper)Nathan J. Hillson (1 shared paper)Leo d’Espaux (1 shared paper)Aindrila Mukhopadhyay (1 shared paper)Megan E. Garber (1 shared paper)
- Journals
- ACS Synthetic Biology (1 paper)The Journal of Immunology (1 paper)Nucleic Acids Research (1 paper)Computational Toxicology (1 paper)UWA Profiles and Research Repository (University of Western Australia) (1 paper)
- Partner nations
- United StatesDenmarkGermany
In The Last Decade
Daniel Sachs
5 papers receiving 312 citations
Peers
Comparison fields: 5 of 62
- Biotechnology 41
- Pharmacology 79
- Molecular Biology 261
- Biochemistry 10
- Biomedical Engineering 55
Countries citing papers authored by Daniel Sachs
This map shows the geographic impact of Daniel Sachs'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 Sachs with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Sachs more than expected).
Fields of papers citing papers by Daniel Sachs
This network shows the impact of papers produced by Daniel Sachs. 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 Sachs. The network helps show where Daniel Sachs may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Sachs, 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 | 219 | |
| 2 | 2016 | 63 | |
| 3 | 2015 | 19 | |
| 4 | 2021 | 13 | |
| 5 | The art of fusion: A synthetic approach to create cross-kingdom hybrids | 2018 | 2 |
About Daniel Sachs
Daniel Sachs is a scholar working on Molecular Biology, Pharmacology, Oncology, Computational Theory and Mathematics and Immunology and Allergy, having authored 5 papers that have together received 316 indexed citations. Recurring topics across this work include Microbial Metabolic Engineering and Bioproduction (2 papers), CRISPR and Genetic Engineering (2 papers), Cholinesterase and Neurodegenerative Diseases (1 paper), Computational Drug Discovery Methods (1 paper), Microbial Natural Products and Biosynthesis (1 paper), Machine Learning in Materials Science (1 paper), Cell Adhesion Molecules Research (1 paper) and Fungal and yeast genetics research (1 paper). The work is most often cited by research in Biotechnology (41 citations), Pharmacology (79 citations), Molecular Biology (261 citations), Biochemistry (10 citations) and Biomedical Engineering (55 citations). Daniel Sachs has collaborated with scholars based in United States, Denmark and Germany. Frequent co-authors include Jay D. Keasling, Amanda Reider Apel, Maren Wehrs, Gary J. Tong, Nathan J. Hillson, Leo d’Espaux, Aindrila Mukhopadhyay, Megan E. Garber, Ryan M. Phelan and Jacquelyn M. Blake-Hedges. Their work appears in journals such as ACS Synthetic Biology, The Journal of Immunology, Nucleic Acids Research, Computational Toxicology and UWA Profiles and Research Repository (University of Western Australia).
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.