J. S. Burton

32 papers receiving 358 citations

Peers

J. S. Burton
Comparison fields: 5 of 92
  • Pharmacology 48
  • Dermatology 41
  • Spectroscopy 75
  • Computational Theory and Mathematics 60
  • Chemical Health and Safety 2
Replace Gwendolyn D. Fate with:
Gwendolyn D. Fate United States
Nobuyasu Mizuno Japan
Raniero Zazzeroni United Kingdom
Angela White United Kingdom
Thomas J. Mikkelson United States
Roy L. M. Dobson United States
AKIRA KAMADA Japan
Aleš Obreza Slovenia
Emilio Xavier Esposito United States
Girinath G. Pillai United States
J. S. Burton relative to Gwendolyn D. Fate United States Gwendolyn D. Fate's profile →
Citations per field
00.5×1.5×2.3×
Gwendolyn D. Fate · 1×
Citations per year

Countries citing papers authored by J. S. Burton

Since Specialization
Citations

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

Fields of papers citing papers by J. S. Burton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J. S. Burton. 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 J. S. Burton. The network helps show where J. S. Burton may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20164
2 20132
3 201317
4 201347
5 200910
6 200911
7 200630
8 19841
9 198013
10 196510
11 19647
12 19646
13 196419
14 19643
15 196410
16 19646
17 19642
18 196413
19 19646
20 19647

About J. S. Burton

J. S. Burton is a scholar working on Filtration and Separation, Pharmacology and Computational Theory and Mathematics, having authored 33 papers that have together received 396 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (7 papers), Analytical Chemistry and Chromatography (5 papers), Pharmacogenetics and Drug Metabolism (2 papers), Crystallization and Solubility Studies (2 papers), Biopolymer Synthesis and Applications (2 papers), Hops Chemistry and Applications (2 papers), Bioinformatics and Genomic Networks (2 papers) and Chemical Thermodynamics and Molecular Structure (2 papers). The work is most often cited by research in Pharmacology (48 citations), Dermatology (41 citations) and Spectroscopy (75 citations). J. S. Burton has collaborated with scholars based in United Kingdom, Belgium and United States. Frequent co-authors include Bertil Gelotte, Daniel P. Vercauteren, J. A. Elvidge, A. I. Virtanen, N. R. Williams, W. G. Overend, Torvard C. Laurent, Krister Hellsing, Andrew Worth and Ismaïl Ijjaali. Their work appears in journals such as Acta chemica Scandinavica/Acta chemica Scandinavica. B, Organic chemistry and biochemistry/Acta chemica Scandinavica. A, Physical and inorganic chemistry/Acta chemica Scandinavica. Series B. Organic chemistry and biochemistry/Acta chemica Scandinavica. Series A, Physical and inorganic chemistry, Journal of Pharmacy and Pharmacology, Journal of the Institute of Brewing, SAR and QSAR in environmental research and Combinatorial Chemistry & High Throughput Screening.

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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