Alan Naylor

3.2k citations
72 papers · 2.2k · h-index 25

Impact in

    • Cannabis and Cannabinoid Research
  • Physiology top 2%
    • Alzheimer's disease research and treatments

Papers in

    • Asymmetric Synthesis and Catalysis 16
    • Synthesis and Biological Evaluation 11
    • Chemical synthesis and alkaloids 5
    • Inflammatory mediators and NSAID effects 20

Alan Naylor

72 papers receiving 2.1k citations

Peers

Alan Naylor
Comparison fields: 5 of 123
  • Pharmacology 563
  • Physiology 133
  • Cellular and Molecular Neuroscience 493
  • Organic Chemistry 741
  • Neurology 148
Replace Thota Ganesh with:
Thota Ganesh United States
Junyang Jung South Korea
Marcello Leopoldo Italy
Nicholas D. P. Cosford United States
H. Timmerman Netherlands
Chandrani Mukherjee United States
Werner J. Geldenhuys United States
Anna Katrin Szardenings United States
Boris Schmidt Germany
Micah J. Niphakis United States
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Citations per year

Countries citing papers authored by Alan Naylor

Since Specialization
Citations

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

Fields of papers citing papers by Alan Naylor

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 72 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006447
2 2006143
3 2007112
4 199184
5 199383
6 200780
7 200974
8 200869
9 200761
10 200947
11 200744
12 200942
13 200642
14 200441
15 200641
16 199339
17 199138
18 199237
19 199032
20 199431

About Alan Naylor

Alan Naylor is a scholar working on Organic Chemistry, Pharmacology, Molecular Biology, Cellular and Molecular Neuroscience and Physiology, having authored 72 papers that have together received 2.2k indexed citations. Recurring topics across this work include Inflammatory mediators and NSAID effects (20 papers), Asymmetric Synthesis and Catalysis (16 papers), Neuropeptides and Animal Physiology (13 papers), Synthesis and Biological Evaluation (11 papers), Receptor Mechanisms and Signaling (8 papers), Pharmacological Receptor Mechanisms and Effects (8 papers), Chemical Synthesis and Analysis (6 papers) and Chemical synthesis and alkaloids (5 papers). The work is most often cited by research in Pharmacology (563 citations), Physiology (133 citations), Cellular and Molecular Neuroscience (493 citations), Organic Chemistry (741 citations) and Neurology (148 citations). Alan Naylor has collaborated with scholars based in United Kingdom, United States and Australia. Frequent co-authors include Iain P. Chessell, Praveen Anand, P. Facer, C. Bountra, Pascal F. Durrenberger, Stephen G. Davies, Y. Yiangou, David Middlemiss, D. I. C. SCOPES and Gerard M.P. Giblin. Their work appears in journals such as Bioorganic & Medicinal Chemistry Letters, Tetrahedron Letters, Journal of Medicinal Chemistry, Journal of the Chemical Society Perkin Transactions 1 and British Journal of Pharmacology.

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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