John C. Ashton

2.0k citations
63 papers · 1.4k · h-index 18

Impact in

Papers in

John C. Ashton

60 papers receiving 1.3k citations

Peers

John C. Ashton
Comparison fields: 5 of 108
  • Pharmacology 856
  • Cellular and Molecular Neuroscience 502
  • Toxicology 93
  • Biological Psychiatry 44
  • Endocrine and Autonomic Systems 101
Replace Erik Ryberg with:
Erik Ryberg Sweden
Somnath Mukhopadhyay United States
Xavier Canat France
Ana I. Castillo Spain
Martin Kaczocha United States
Prasant Chandran United States
D. Dussossoy France
Jim Wager‐Miller United States
Gaurav Bedse United States
Barbara Malinowska Poland
John C. Ashton relative to Erik Ryberg Sweden Erik Ryberg's profile →
Citations per field
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Citations per year

Countries citing papers authored by John C. Ashton

Since Specialization
Citations

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

Fields of papers citing papers by John C. Ashton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 63 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007256
2 2005168
3 2006108
4 201477
5 200877
6 202167
7 201360
8 201229
9 199825
10 200425
11 201923
12 201223
13 201723
14 201023
15 200719
16 201718
17 200418
18 200617
19 201115
20 201315

About John C. Ashton

John C. Ashton is a scholar working on Pharmacology, Molecular Biology, Cellular and Molecular Neuroscience, Pulmonary and Respiratory Medicine and Oncology, having authored 63 papers that have together received 1.4k indexed citations. Recurring topics across this work include Cannabis and Cannabinoid Research (28 papers), Neuroscience and Neuropharmacology Research (10 papers), Neurotransmitter Receptor Influence on Behavior (8 papers), Lung Cancer Treatments and Mutations (8 papers), Forensic Toxicology and Drug Analysis (5 papers), Pain Mechanisms and Treatments (5 papers), Sleep and Wakefulness Research (5 papers) and PI3K/AKT/mTOR signaling in cancer (5 papers). The work is most often cited by research in Pharmacology (856 citations), Cellular and Molecular Neuroscience (502 citations), Toxicology (93 citations), Biological Psychiatry (44 citations) and Endocrine and Autonomic Systems (101 citations). John C. Ashton has collaborated with scholars based in New Zealand, Australia and Iran. Frequent co-authors include Michelle Glass, Paul F. Smith, Cynthia L. Darlington, Jack Rivers‐Auty, Ian Appleton, Philip W. Brownjohn, Abigail R. Bland, Brad A. Sutherland, John M. McPartland and Joel D. A. Tyndall. Their work appears in journals such as Pharmacology, European Journal of Pharmacology, Journal of Histochemistry & Cytochemistry, Brain Research and Neuroreport.

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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