Amy E. Monaghan

620 citations
12 papers · 361 · h-index 8

Impact in

Papers in

    • Wnt/β-catenin signaling in development and cancer 2
    • Cancer-related gene regulation 2
    • Protein Degradation and Inhibitors 1
    • Cholinesterase and Neurodegenerative Diseases 5

Amy E. Monaghan

10 papers receiving 358 citations

Peers

Amy E. Monaghan
Comparison fields: 5 of 67
  • Cellular and Molecular Neuroscience 83
  • Biochemistry 32
  • Pharmacology 64
  • Physiology 17
  • Endocrine and Autonomic Systems 23
Replace Wen Chiy Liew with:
Wen Chiy Liew Singapore
Emilce Carrasco United States
Candan A Akar United States
Suma I. Shimuta Brazil
Eva G. Zinser Germany
María Jurado-Pueyo Spain
Surabhi Bhatia Australia
Elisabet Barbero‐Camps Spain
En Huang Canada
Rishi R. Agrawal United States
Amy E. Monaghan relative to Wen Chiy Liew Singapore Wen Chiy Liew's profile →
Citations per field
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Wen Chiy Liew · 1×
Citations per year

Countries citing papers authored by Amy E. Monaghan

Since Specialization
Citations

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

Fields of papers citing papers by Amy E. Monaghan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

12 of 12 papers shown
#Work
1 2013248
2 201922
3 202120
4 202017
5 202015
6 201914
7 20218
8 20217
9 20225
10 20194
11
Course Development in Distance Education: Whose is the Content?
20081
12 20250

About Amy E. Monaghan

Amy E. Monaghan is a scholar working on Molecular Biology, Pharmacology, Computational Theory and Mathematics, Organic Chemistry and Surgery, having authored 12 papers that have together received 361 indexed citations. Recurring topics across this work include Cholinesterase and Neurodegenerative Diseases (5 papers), Computational Drug Discovery Methods (3 papers), Wnt/β-catenin signaling in development and cancer (2 papers), Cancer-related gene regulation (2 papers), Online and Blended Learning (1 paper), Protein Degradation and Inhibitors (1 paper), Prostate Cancer Treatment and Research (1 paper) and Cholesterol and Lipid Metabolism (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (83 citations), Biochemistry (32 citations), Pharmacology (64 citations), Physiology (17 citations) and Endocrine and Autonomic Systems (23 citations). Amy E. Monaghan has collaborated with scholars based in United Kingdom, United States and Netherlands. Frequent co-authors include S P H Alexander, Adam J Pawson, Richard R. Neubig, Jean‐Philippe Pin, Michael Spedding, Wen Chiy Liew, Joanna L Sharman, Anthony P. Davenport, Chidochangu P. Mpamhanga and Anthony J. Harmar. Their work appears in journals such as Journal of Medicinal Chemistry, Assay and Drug Development Technologies, Bioorganic & Medicinal Chemistry Letters, eLife and Pharmacological Reviews.

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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