Daniel Strahs
Impact in
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- DNA and Nucleic Acid Chemistry
- RNA and protein synthesis mechanisms
- Receptor Mechanisms and Signaling
- Genomics and Chromatin Dynamics
- Advanced biosensing and bioanalysis techniques
- Protein Structure and Dynamics
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- Neuropeptides and Animal Physiology
Papers in
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- DNA and Nucleic Acid Chemistry 5
- Genomics and Chromatin Dynamics 4
- RNA and protein synthesis mechanisms 4
- Protein Structure and Dynamics 2
- Advanced biosensing and bioanalysis techniques 2
- Cancer therapeutics and mechanisms 1
- Genetics 2
- Bacterial Genetics and Biotechnology 2
- Co-authors
- Tamar Schlick (5 shared papers)Michael Brenowitz (2 shared papers)Harel Weinstein (1 shared paper)Xiaoliang Qian (4 shared papers)Peter King (1 shared paper)Vernon Anderson (1 shared paper)Elizabeth Jamison (1 shared paper)Daniel Beard (1 shared paper)
- Journals
- Journal of Molecular Biology (3 papers)Nucleic Acids Research (2 papers)Protein Engineering Design and Selection (1 paper)Journal of Computational Chemistry (1 paper)Biopolymers (1 paper)
- Partner nations
- United States
In The Last Decade
Daniel Strahs
10 papers receiving 405 citations
Peers
Comparison fields: 5 of 84
- Molecular Biology 330
- Cellular and Molecular Neuroscience 55
- Safety Research 13
- Genetics 38
- Ecology 34
Countries citing papers authored by Daniel Strahs
This map shows the geographic impact of Daniel Strahs'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 Strahs with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Strahs more than expected).
Fields of papers citing papers by Daniel Strahs
This network shows the impact of papers produced by Daniel Strahs. 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 Strahs. The network helps show where Daniel Strahs may publish in the future.
Co-authors
The 16 scholars most cited alongside Daniel Strahs, 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 | 2000 | 112 | |
| 2 | 1993 | 82 | |
| 3 | 1997 | 62 | |
| 4 | 1994 | 36 | |
| 5 | 2000 | 27 | |
| 6 | 2001 | 25 | |
| 7 | 2001 | 19 | |
| 8 | 2017 | 19 | |
| 9 | 2003 | 14 | |
| 10 | 2006 | 13 |
About Daniel Strahs
Daniel Strahs is a scholar working on Molecular Biology, Genetics, Pharmacology, Cellular and Molecular Neuroscience and Ecology, having authored 10 papers that have together received 409 indexed citations. Recurring topics across this work include DNA and Nucleic Acid Chemistry (5 papers), Genomics and Chromatin Dynamics (4 papers), RNA and protein synthesis mechanisms (4 papers), Protein Structure and Dynamics (2 papers), Advanced biosensing and bioanalysis techniques (2 papers), Bacterial Genetics and Biotechnology (2 papers), Innovative Teaching Methods (1 paper) and Cancer therapeutics and mechanisms (1 paper). The work is most often cited by research in Molecular Biology (330 citations), Cellular and Molecular Neuroscience (55 citations), Safety Research (13 citations), Genetics (38 citations) and Ecology (34 citations). Daniel Strahs has collaborated with scholars based in United States. Frequent co-authors include Tamar Schlick, Michael Brenowitz, Harel Weinstein, Xiaoliang Qian, Peter King, Vernon Anderson, Elizabeth Jamison, Daniel Beard, Jing Huang and Danny Barash. Their work appears in journals such as Journal of Molecular Biology, Nucleic Acids Research, Protein Engineering Design and Selection, Journal of Computational Chemistry and Biopolymers.
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.