Dan Norris

445 citations
10 papers · 347 · h-index 7

Impact in

    • 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

Dan Norris

10 papers receiving 329 citations

Peers

Dan Norris
Comparison fields: 5 of 64
  • Genetics 39
  • Molecular Biology 248
  • Public Administration 12
  • Cancer Research 30
  • Cellular and Molecular Neuroscience 35
Replace Aida I. Al Aqeel with:
Aida I. Al Aqeel Saudi Arabia
V. Spencer United States
Matheus Rodrigues Lopes Brazil
Emma M. Jenkinson United Kingdom
August Stuart United States
Paulette Jacobs United States
Anneliene Hechtelt Jonker France
Richard Drexler Germany
Borahm Kim South Korea
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Citations per field
00.5×
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Citations per year

Countries citing papers authored by Dan Norris

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Dan Norris Line = papers co-authored together Dan Norris links everyone, so they are left out of the graph.

All Works

10 of 10 papers shown
#Work
1 2016121
2 2013104
3 201832
4
Violence Against Social Workers: The Implications for Practice
198929
5 201318
6 202017
7 201316
8 20196
9 20232
10 19922

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 347 indexed citations. Recurring topics across this work include Genetic Neurodegenerative Diseases (2 papers), RNA Research and Splicing (2 papers), Amyloidosis: Diagnosis, Treatment, Outcomes (2 papers), Acute Myeloid Leukemia Research (1 paper), RNA and protein synthesis mechanisms (1 paper), Cancer Genomics and Diagnostics (1 paper), Drilling and Well Engineering (1 paper) and Muscle Physiology and Disorders (1 paper). The work is most often cited by research in Genetics (39 citations), Molecular Biology (248 citations), Public Administration (12 citations), Cancer Research (30 citations) and Cellular and Molecular Neuroscience (35 citations). Dan Norris has collaborated with scholars based in United States, Switzerland and Belgium. Frequent co-authors include Brett P. Monia, Gene Hung, Xiaokun Xiao, Raechel Peralta, Gourab Bhattacharjee, Shuling Guo, Sue Murray, Tae‐Won Kim, Rosie Z. Yu and T. Jesse Kwoh. Their work appears in journals such as Nucleic Acid Therapeutics, Journal of Lipid Research, Amyloid, Journal of Clinical Oncology 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.

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