A. Naylor

577 citations
17 papers · 495 · h-index 11

Impact in

    • Synthesis and biological activity
    • Multicomponent Synthesis of Heterocycles
    • Synthesis and Biological Evaluation
    • Synthesis and Characterization of Heterocyclic Compounds
    • Synthesis of heterocyclic compounds
    • Click Chemistry and Applications

Papers in

    • Synthesis of β-Lactam Compounds 4
    • Synthesis and Catalytic Reactions 2
    • Melanoma and MAPK Pathways 2
    • Wnt/β-catenin signaling in development and cancer 2
    • Cancer therapeutics and mechanisms 2
    • Protein Kinase Regulation and GTPase Signaling 2

A. Naylor

16 papers receiving 469 citations

Peers

A. Naylor
Comparison fields: 5 of 61
  • Organic Chemistry 327
  • Toxicology 13
  • Computational Theory and Mathematics 54
  • Pharmacology 53
  • Molecular Biology 174
Replace Charles Q. Meng with:
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Barry H. Levine United States
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A. Naylor relative to Charles Q. Meng Canada Charles Q. Meng's profile →
Citations per field
00.5×2.6×
Charles Q. Meng · 1×
Citations per year

Countries citing papers authored by A. Naylor

Since Specialization
Citations

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

Fields of papers citing papers by A. Naylor

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by A. Naylor. 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 A. Naylor. The network helps show where A. Naylor may publish in the future.

Co-authors

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

All Works

17 of 17 papers shown
#Work
1 2005170
2 2003103
3 200373
4
Lack of ibuprofen secretion into human milk.
198324
5 199323
6 200820
7 199213
8 200912
9 200612
10 200910
11 199610
12 19986
13 20066
14 19965
15 20035
16 19953
17 19970

About A. Naylor

A. Naylor is a scholar working on Organic Chemistry, Molecular Biology, Pharmacology, Epidemiology and Immunology and Allergy, having authored 17 papers that have together received 495 indexed citations. Recurring topics across this work include Synthesis of β-Lactam Compounds (4 papers), Antibiotics Pharmacokinetics and Efficacy (3 papers), Melanoma and MAPK Pathways (2 papers), Wnt/β-catenin signaling in development and cancer (2 papers), Cancer therapeutics and mechanisms (2 papers), Cell Adhesion Molecules Research (2 papers), Protein Kinase Regulation and GTPase Signaling (2 papers) and Synthesis and Catalytic Reactions (2 papers). The work is most often cited by research in Organic Chemistry (327 citations), Toxicology (13 citations), Computational Theory and Mathematics (54 citations), Pharmacology (53 citations) and Molecular Biology (174 citations). A. Naylor has collaborated with scholars based in United Kingdom and United States. Frequent co-authors include Andrew K. Takle, Alessandra Gaiba, Vincent Bordas, David G. Smith, Jason Witherington, Robert W. Ward, Brian P. Slingsby, Frank D. King, Jon G.A. Steadman and David K. Dean. Their work appears in journals such as Bioorganic & Medicinal Chemistry Letters, The Journal of Antibiotics, Tetrahedron, ChemInform and PubMed.

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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