William Paton

1.2k citations
23 papers · 873 indexed · h-index 10

Impact in

Papers in

William Paton

21 papers receiving 769 citations

Peers

William Paton
Comparison fields: 5 of 118
  • Cellular and Molecular Neuroscience 277
  • Pharmacology 113
  • Molecular Biology 458
  • Animal Science and Zoology 51
  • Biochemistry 34
Replace M. K. Paasonen with:
M. K. Paasonen Finland
A. Bizzi Italy
Edward R. Bowman United States
Norman R. Mason United States
Sidney M. Hess United States
Jean Schwartz France
L Szporny Hungary
Hironaka Aihara Japan
Alan S. Fairhurst United States
Seymour Ehrenpreis United States
William Paton relative to M. K. Paasonen Finland M. K. Paasonen's profile →
Citations per field
00.5×2.7×
M. K. Paasonen · 1×
Citations per year

Countries citing papers authored by William Paton

Since Specialization
Citations

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

Fields of papers citing papers by William Paton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 17 scholars most cited alongside William Paton, 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 William Paton Line = papers co-authored together William Paton links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20180
2
Drugs in Anaesthesia: Mechanisms of Action
198712
3 19862
4 198427
5
Man and Mouse: Animals in Medical Research
198450
6 198268
7 19804
8
Marihuana, biological effects : analysis, metabolism, cellular responses, reproduction, and brain
197915
9 19794
10 19789
11 19765
12 19743
13 19731
14 19736
15 19718
16
Pharmacological Principles and Practice
196812
17 19678
18 1965254
19
Pharmacological analysis of central nervous action
196237
20 1961320

About William Paton

William Paton is a scholar working on Developmental Neuroscience, Biochemistry, Anesthesiology and Pain Medicine, Clinical Biochemistry and Toxicology, having authored 23 papers that have together received 873 indexed citations. Recurring topics across this work include Cannabis and Cannabinoid Research (3 papers), Neuroscience and Neuropharmacology Research (2 papers), Anesthesia and Neurotoxicity Research (2 papers), Metabolism and Genetic Disorders (2 papers), Lipid Membrane Structure and Behavior (2 papers), Lipid metabolism and biosynthesis (2 papers), Receptor Mechanisms and Signaling (2 papers) and Anesthesia and Sedative Agents (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (277 citations), Pharmacology (113 citations), Molecular Biology (458 citations), Animal Science and Zoology (51 citations) and Biochemistry (34 citations). William Paton has collaborated with scholars based in United Kingdom, United States and Sweden. Frequent co-authors include H P Rang, David Wing, Percy Lindgren, David J. Harvey, Gabriel G. Nahas, S. A. Feldman, E. W. Gill, Roger G. Pertwee, Stig Agurell and June Raine. Their work appears in journals such as Biochemical Pharmacology, Nature, European Journal of Pharmacology, Anesthesia & Analgesia and British Medical Bulletin.

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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