Dianna E. Moore

3.1k total citations
7 papers, 147 citations indexed

About

Dianna E. Moore is a scholar working on Molecular Biology, Pharmacology and Cancer Research. According to data from OpenAlex, Dianna E. Moore has authored 7 papers receiving a total of 147 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 2 papers in Pharmacology and 2 papers in Cancer Research. Recurrent topics in Dianna E. Moore's work include Receptor Mechanisms and Signaling (2 papers), Cholinesterase and Neurodegenerative Diseases (2 papers) and Phosphodiesterase function and regulation (2 papers). Dianna E. Moore is often cited by papers focused on Receptor Mechanisms and Signaling (2 papers), Cholinesterase and Neurodegenerative Diseases (2 papers) and Phosphodiesterase function and regulation (2 papers). Dianna E. Moore collaborates with scholars based in United States and United Kingdom. Dianna E. Moore's co-authors include Andrew A. Hardigan, Angela Jones, Ryne C. Ramaker, R Myers, Brian S. Roberts, Michael P. DeNinno, William J. Zavadoski, John B. Etienne, Michael Visser and Angel Guzmán-Pérez and has published in prestigious journals such as Nucleic Acids Research, Clinical Cancer Research and Bioorganic & Medicinal Chemistry Letters.

In The Last Decade

Dianna E. Moore

7 papers receiving 145 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Dianna E. Moore United States	6	101	46	39	26	19	7	147
Juluri Suresh India	5	120 1.2×	65 1.4×	17 0.4×	8 0.3×	35 1.8×	7	206
Naoki Nakao Japan	7	118 1.2×	39 0.8×	47 1.2×	7 0.3×	13 0.7×	7	164
Hua Gong United States	10	87 0.9×	95 2.1×	34 0.9×	7 0.3×	6 0.3×	14	231
Catherine A. Wassenaar Canada	6	185 1.8×	24 0.5×	16 0.4×	17 0.7×	6 0.3×	7	282
Shiming Peng China	5	105 1.0×	21 0.5×	11 0.3×	20 0.8×	7 0.4×	6	173
Thomas Hollenbeck United States	7	84 0.8×	23 0.5×	9 0.2×	37 1.4×	26 1.4×	9	174
Andrew V. Gomez United States	6	54 0.5×	25 0.5×	24 0.6×	18 0.7×	4 0.2×	9	174
Serena L. Cole United States	5	185 1.8×	15 0.3×	17 0.4×	44 1.7×	35 1.8×	6	272
Harvey E. Fries United States	7	49 0.5×	39 0.8×	41 1.1×	4 0.2×	17 0.9×	12	158
Yuri Bukhtiyarov United States	9	118 1.2×	46 1.0×	18 0.5×	8 0.3×	16 0.8×	17	179

Countries citing papers authored by Dianna E. Moore

Since Specialization

Citations

This map shows the geographic impact of Dianna E. Moore'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 Dianna E. Moore with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dianna E. Moore more than expected).

Fields of papers citing papers by Dianna E. Moore

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dianna E. Moore. 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 Dianna E. Moore. The network helps show where Dianna E. Moore may publish in the future.

Co-authorship network of co-authors of Dianna E. Moore

This figure shows the co-authorship network connecting the top 25 collaborators of Dianna E. Moore. A scholar is included among the top collaborators of Dianna E. Moore 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 Dianna E. Moore. Dianna E. Moore is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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7 of 7 papers shown

Hardigan, Andrew A., Brian S. Roberts, Dianna E. Moore, et al.. (2019). CRISPR/Cas9-targeted removal of unwanted sequences from small-RNA sequencing libraries. Nucleic Acids Research. 47(14). e84–e84. 20 indexed citations

Roberts, Brian S., Andrew A. Hardigan, Dianna E. Moore, et al.. (2018). Discovery and Validation of Circulating Biomarkers of Colorectal Adenoma by High-Depth Small RNA Sequencing. Clinical Cancer Research. 24(9). 2092–2099. 23 indexed citations

Rouquet, Guy, Dianna E. Moore, Malcolm Spain, et al.. (2015). Design, Synthesis, and Evaluation of Tetrasubstituted Pyridines as Potent 5-HT_2C Receptor Agonists. ACS Medicinal Chemistry Letters. 6(3). 329–333. 11 indexed citations

Guzmán-Pérez, Angel, Jeffrey A. Pfefferkorn, Benjamin D. Stevens, et al.. (2013). The design and synthesis of a potent glucagon receptor antagonist with favorable physicochemical and pharmacokinetic properties as a candidate for the treatment of type 2 diabetes mellitus. Bioorganic & Medicinal Chemistry Letters. 23(10). 3051–3058. 35 indexed citations

DeNinno, Michael P., Stephen W. Wright, Michael Visser, et al.. (2011). 1,5-Substituted nipecotic amides: Selective PDE8 inhibitors displaying diastereomer-dependent microsomal stability. Bioorganic & Medicinal Chemistry Letters. 21(10). 3095–3098. 22 indexed citations

Visser, Michael, Kevin D. Freeman‐Cook, Steven J. Brickner, et al.. (2010). Synthesis and biological evaluation of novel hygromycin A antibacterial agents. Bioorganic & Medicinal Chemistry Letters. 20(22). 6730–6734. 4 indexed citations

DeNinno, Michael P., Andrew Bell, Yue Chen, et al.. (2009). The discovery of potent, selective, and orally bioavailable PDE9 inhibitors as potential hypoglycemic agents. Bioorganic & Medicinal Chemistry Letters. 19(9). 2537–2541. 32 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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