Dan Norris

432 total citations
10 papers, 327 citations indexed

About

Dan Norris is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Cancer Research. According to data from OpenAlex, Dan Norris has authored 10 papers receiving a total of 327 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 3 papers in Cellular and Molecular Neuroscience and 2 papers in Cancer Research. Recurrent topics in Dan Norris's work include RNA Research and Splicing (2 papers), Amyloidosis: Diagnosis, Treatment, Outcomes (2 papers) and Genetic Neurodegenerative Diseases (2 papers). Dan Norris is often cited by papers focused on RNA Research and Splicing (2 papers), Amyloidosis: Diagnosis, Treatment, Outcomes (2 papers) and Genetic Neurodegenerative Diseases (2 papers). Dan Norris collaborates with scholars based in United States, Switzerland and United Kingdom. Dan Norris's co-authors include Brett P. Monia, Gene Hung, Sue Murray, Raechel Peralta, Xiaokun Xiao, Gourab Bhattacharjee, Shuling Guo, Tae‐Won Kim, Rosie Z. Yu and T. Jesse Kwoh and has published in prestigious journals such as Journal of Clinical Oncology, Neurology and Journal of Lipid Research.

In The Last Decade

Dan Norris

10 papers receiving 314 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Dan Norris United States	7	246	45	40	37	28	10	327
B Diouf United States	10	166 0.7×	92 2.0×	27 0.7×	11 0.3×	39 1.4×	22	371
Marcus Achison United Kingdom	9	117 0.5×	50 1.1×	21 0.5×	8 0.2×	78 2.8×	10	400
Jane Guan United States	7	317 1.3×	152 3.4×	82 2.0×	17 0.5×	57 2.0×	16	432
Matteo Moretto-Zita United States	9	390 1.6×	47 1.0×	23 0.6×	20 0.5×	58 2.1×	11	636
Michael S. Taccone Canada	9	201 0.8×	35 0.8×	117 2.9×	12 0.3×	100 3.6×	18	392
Dagmar Walter Germany	10	148 0.6×	81 1.8×	9 0.2×	8 0.2×	36 1.3×	11	315
Jimena Goldstine United States	9	243 1.0×	73 1.6×	18 0.5×	19 0.5×	54 1.9×	18	374
Chao Zeng China	10	170 0.7×	111 2.5×	25 0.6×	6 0.2×	84 3.0×	25	351

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-authorship network of co-authors of Dan Norris

This figure shows the co-authorship network connecting the top 25 collaborators of Dan Norris. A scholar is included among the top collaborators of Dan Norris based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Dan Norris. Dan Norris is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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10 of 10 papers shown

Srinivasan, Vibha, et al.. (2023). Hybrid Physics-Data Virtual Flow Metering Solution for Production Monitoring in an Offshore Oil Field. Offshore Technology Conference. 2 indexed citations

Yu, Rosie Z., Yanfeng Wang, Dan Norris, et al.. (2020). Immunogenicity Assessment of Inotersen, a 2′- O -(2-Methoxyethyl) Antisense Oligonucleotide in Animals and Humans: Effect on Pharmacokinetics, Pharmacodynamics, and Safety. Nucleic Acid Therapeutics. 30(5). 265–275. 16 indexed citations

Ducray, Patricia Sanwald, Nicolas Frances, Kevin Smart, et al.. (2019). Translational Pharmacokinetic/Pharmacodynamic (PK/PD) Modeling Strategy to Support RG6042 Dose Selection in Huntington’s Disease (HD) (S16.005). Neurology. 92(15_supplement). 6 indexed citations

Lane, Roger, Tiffany Baumann, Marc Gleichmann, et al.. (2018). Translating Antisense Technology into a Treatment for Huntington’s Disease. Methods in molecular biology. 1780. 497–523. 32 indexed citations

Ackermann, Elizabeth J., Shuling Guo, Merrill D. Benson, et al.. (2016). Suppressing transthyretin production in mice, monkeys and humans using 2nd-Generation antisense oligonucleotides. Amyloid. 23(3). 148–157. 114 indexed citations

Bell, Thomas A., Mark J. Graham, Richard Lee, et al.. (2013). Antisense oligonucleotide inhibition of cholesteryl ester transfer protein enhances RCT in hyperlipidemic, CETP transgenic, LDLr-/- mice. Journal of Lipid Research. 54(10). 2647–2657. 16 indexed citations

Hung, Gene, Xiaokun Xiao, Raechel Peralta, et al.. (2013). Characterization of Target mRNA Reduction Through In Situ RNA Hybridization in Multiple Organ Systems Following Systemic Antisense Treatment in Animals. Nucleic Acid Therapeutics. 23(6). 369–378. 99 indexed citations

Hong, David S., Anas Younes, Luis Fayad, et al.. (2013). A phase I study of ISIS 481464 (AZD9150), a first-in-human, first-in-class, antisense oligonucleotide inhibitor of STAT3, in patients with advanced cancers.. Journal of Clinical Oncology. 31(15_suppl). 8523–8523. 15 indexed citations

Nilakanta, Sree, et al.. (1992). An Exploratory Analysis of Accounting Expert System Abstracts. Intelligent Systems in Accounting Finance & Management. 1(3). 207–220. 2 indexed citations

10.

Norris, Dan. (1989). Violence Against Social Workers: The Implications for Practice. Medical Entomology and Zoology. 25 indexed citations

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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