Dianna E. Moore

3.1k citations
7 papers · 147 · h-index 6

Impact in

    • Cholinesterase and Neurodegenerative Diseases
    • Cancer-related molecular mechanisms research
    • MicroRNA in disease regulation

Papers in

    • Phosphodiesterase function and regulation 2
    • Receptor Mechanisms and Signaling 2
    • Advanced biosensing and bioanalysis techniques 1
    • Cholinesterase and Neurodegenerative Diseases 2

Dianna E. Moore

7 papers receiving 145 citations

Peers

Dianna E. Moore
Comparison fields: 5 of 37
  • Pharmacology 39
  • Cancer Research 26
  • Organic Chemistry 46
  • Molecular Biology 101
  • Endocrinology, Diabetes and Metabolism 19
Replace Juluri Suresh with:
Juluri Suresh India
Naoki Nakao Japan
Thomas Hollenbeck United States
Andrew V. Gomez United States
Harvey E. Fries United States
Hua Gong United States
Serena L. Cole United States
Anne Bouillot France
Antonio Pillan Italy
Lesley A. McNamara United States
Dianna E. Moore relative to Juluri Suresh India Juluri Suresh's profile →
Citations per field
00.5×4.3×
Juluri Suresh · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Dianna E. Moore, 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 Dianna E. Moore Line = papers co-authored together Dianna E. Moore links everyone, so they are left out of the graph.

All Works

7 of 7 papers shown
#Work
1 201335
2 200932
3 201823
4 201122
5 201920
6 201511
7 20104

About Dianna E. Moore

Dianna E. Moore is a scholar working on Molecular Biology, Pharmacology, Cancer Research, Infectious Diseases and Organic Chemistry, having authored 7 papers that have together received 147 indexed citations. Recurring topics across this work include Cholinesterase and Neurodegenerative Diseases (2 papers), Phosphodiesterase function and regulation (2 papers), Receptor Mechanisms and Signaling (2 papers), Advanced biosensing and bioanalysis techniques (1 paper), MicroRNA in disease regulation (1 paper), Psychedelics and Drug Studies (1 paper), Antimicrobial Resistance in Staphylococcus (1 paper) and Genetic factors in colorectal cancer (1 paper). The work is most often cited by research in Pharmacology (39 citations), Cancer Research (26 citations), Organic Chemistry (46 citations), Molecular Biology (101 citations) and Endocrinology, Diabetes and Metabolism (19 citations). Dianna E. Moore has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Brian S. Roberts, R Myers, Angela Jones, Ryne C. Ramaker, Andrew A. Hardigan, John B. Etienne, Michael Visser, William J. Zavadoski, Michael P. DeNinno and Meihua Tu. Their work appears in journals such as Bioorganic & Medicinal Chemistry Letters, Clinical Cancer Research, ACS Medicinal Chemistry Letters and Nucleic Acids Research.

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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