Dan Norris
Impact in
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- RNA Interference and Gene Delivery
- Amyloidosis: Diagnosis, Treatment, Outcomes
- Advanced biosensing and bioanalysis techniques
- DNA and Nucleic Acid Chemistry
- RNA Research and Splicing
- RNA and protein synthesis mechanisms
- CRISPR and Genetic Engineering
Papers in
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- RNA Research and Splicing 2
- Amyloidosis: Diagnosis, Treatment, Outcomes 2
- RNA and protein synthesis mechanisms 1
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- Genetic Neurodegenerative Diseases 2
- Co-authors
- Brett P. Monia (4 shared papers)Gene Hung (2 shared papers)Xiaokun Xiao (1 shared paper)Shuling Guo (1 shared paper)Sue Murray (1 shared paper)Raechel Peralta (1 shared paper)Gourab Bhattacharjee (1 shared paper)Rosie Z. Yu (2 shared papers)
- Journals
- Nucleic Acid Therapeutics (2 papers)Journal of Lipid Research (1 paper)Journal of Clinical Oncology (1 paper)Amyloid (1 paper)Neurology (1 paper)
- Partner nations
- United StatesSwitzerlandUnited Kingdom
In The Last Decade
Dan Norris
10 papers receiving 314 citations
Peers
Comparison fields: 5 of 65
- Genetics 40
- Molecular Biology 246
- Public Administration 12
- Cellular and Molecular Neuroscience 37
- Cancer Research 28
Countries citing papers authored by Dan Norris
This map shows the geographic impact of Dan Norris'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 Dan Norris with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dan Norris more than expected).
Fields of papers citing papers by Dan Norris
This network shows the impact of papers produced by Dan Norris. 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 Dan Norris. The network helps show where Dan Norris may publish in the future.
Co-authors
The 25 scholars most cited alongside Dan Norris, 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 | 114 | |
| 2 | 2013 | 99 | |
| 3 | 2018 | 32 | |
| 4 | Violence Against Social Workers: The Implications for Practice | 1989 | 25 |
| 5 | 2013 | 16 | |
| 6 | 2020 | 16 | |
| 7 | 2013 | 15 | |
| 8 | 2019 | 6 | |
| 9 | 1992 | 2 | |
| 10 | 2023 | 2 |
About Dan Norris
Dan Norris is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Cancer Research, Surgery and Management Information Systems, having authored 10 papers that have together received 327 indexed citations. Recurring topics across this work include RNA Research and Splicing (2 papers), Genetic Neurodegenerative Diseases (2 papers), Amyloidosis: Diagnosis, Treatment, Outcomes (2 papers), Cancer Genomics and Diagnostics (1 paper), Oil and Gas Production Techniques (1 paper), Reservoir Engineering and Simulation Methods (1 paper), RNA and protein synthesis mechanisms (1 paper) and Big Data and Business Intelligence (1 paper). The work is most often cited by research in Genetics (40 citations), Molecular Biology (246 citations), Public Administration (12 citations), Cellular and Molecular Neuroscience (37 citations) and Cancer Research (28 citations). Dan Norris has collaborated with scholars based in United States, Switzerland and United Kingdom. Frequent co-authors include Brett P. Monia, Gene Hung, Xiaokun Xiao, Shuling Guo, Sue Murray, Raechel Peralta, Gourab Bhattacharjee, Rosie Z. Yu, Tae‐Won Kim and T. Jesse Kwoh. Their work appears in journals such as Nucleic Acid Therapeutics, Journal of Lipid Research, Journal of Clinical Oncology, Amyloid and Neurology.
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.