John Ayrton

1.8k citations
35 papers · 1.5k indexed · h-index 23

Impact in

    • Antibiotic Resistance in Bacteria
    • Analytical Chemistry and Chromatography
    • Mass Spectrometry Techniques and Applications

Papers in

    • Antibiotic Resistance in Bacteria 5
    • Analytical Chemistry and Chromatography 12
    • Mass Spectrometry Techniques and Applications 7

John Ayrton

35 papers receiving 1.3k citations

Peers

John Ayrton
Comparison fields: 5 of 101
  • Molecular Medicine 194
  • Spectroscopy 535
  • Pharmacology 340
  • Pharmaceutical Science 119
  • Pharmacology 149
Replace Tristan D. Booth with:
Tristan D. Booth United States
Geoffrey W. Peng United States
H Laufen Germany
Akash Jain India
Michael S. Schwartz United States
Adedayo Adedoyin United States
W.F. Bayne United States
E. Bailey United Kingdom
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John Ayrton relative to Tristan D. Booth United States Tristan D. Booth's profile →
Citations per field
00.5×2.9×
Tristan D. Booth · 1×
Citations per year

Countries citing papers authored by John Ayrton

Since Specialization
Citations

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

Fields of papers citing papers by John Ayrton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20252
2 201475
3 201337
4 200152
5 200022
6 199934
7 199912
8 199919
9 199911
10 199939
11 199864
12 1998124
13 199888
14 199730
15 19961
16 199519
17 19925
18 199018
19 198181
20 198170

About John Ayrton

John Ayrton is a scholar working on Molecular Medicine, Spectroscopy, Pharmacology, Pharmacology and Pharmaceutical Science, having authored 35 papers that have together received 1.5k indexed citations. Recurring topics across this work include Analytical Chemistry and Chromatography (12 papers), Mass Spectrometry Techniques and Applications (7 papers), Metabolomics and Mass Spectrometry Studies (6 papers), Antibiotics Pharmacokinetics and Efficacy (6 papers), Microfluidic and Capillary Electrophoresis Applications (6 papers), Drug Transport and Resistance Mechanisms (5 papers), Antibiotic Resistance in Bacteria (5 papers) and Antifungal resistance and susceptibility (4 papers). The work is most often cited by research in Molecular Medicine (194 citations), Spectroscopy (535 citations), Pharmacology (340 citations), Pharmaceutical Science (119 citations) and Pharmacology (149 citations). John Ayrton has collaborated with scholars based in United Kingdom, United States and Netherlands. Frequent co-authors include Robert S. Plumb, Gordon J. Dear, David N. Mallett, Stuart M. Harding, William J. Leavens, P.E. Williams, Malcolm Rowland, Yanling He, Geoffrey Warhurst and David W. Walker. Their work appears in journals such as Rapid Communications in Mass Spectrometry, Xenobiotica, Journal of Antimicrobial Chemotherapy, Pharmaceutical Research and Antimicrobial Agents and Chemotherapy.

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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