Tim Young

1.5k citations
13 papers · 1.1k indexed · 1 hit paper · h-index 10
Topics
Cannabis and Cannabinoid Research (5 papers)Antifungal resistance and susceptibility (3 papers)Pharmacological Receptor Mechanisms and Effects (3 papers)

In The Last Decade

Tim Young

13 papers receiving 1.1k citations

Hit Papers

An efficient randomised, placebo-controlled clinical tria...20122026201620212012100200300

Peers

Tim Young
Comparison fields: 5 of 108
  • Pharmacology 542
  • Molecular Biology 353
  • Cellular and Molecular Neuroscience 214
  • Infectious Diseases 191
  • Physiology 154
Replace Scott E. Lazerwith with:
Scott E. Lazerwith United States
Mark S. Hixon United States
David M. Shackleford Australia
Kevin D. Read United Kingdom
Heinz H. Pertz Germany
Mar Martín‐Fontecha Spain
David Brown United States
Ramesh Gujjar United States
Subramaniam Ananthan United States
Md. Jashim Uddin United States
Tim Young relative to Scott E. Lazerwith United States Scott E. Lazerwith's profile →
Citations per field
00.5×3.0×
Scott E. Lazerwith · 1×
Citations per year

Countries citing papers authored by Tim Young

Since Specialization
Citations

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

Fields of papers citing papers by Tim Young

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tim Young

This figure shows the co-authorship network connecting the top 25 collaborators of Tim Young. A scholar is included among the top collaborators of Tim Young based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Tim Young. Tim Young is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

13 of 13 papers shown
#WorkIndexed citations
1 14
2
An efficient randomised, placebo-controlled clinical trial with the irreversible fatty acid amide hydrolase-1 inhibitor PF-04457845, which modulates endocannabinoids but fails to induce effective analgesia in patients with pain due to osteoarthritis of the kneebreakdown →
307
3 3
4 191
5 104
6 21
7 142
8 5
9 191
10 46
11 68
12 20
13 7

About Tim Young

Tim Young is a scholar working on Toxicology, Structural Biology and Pharmacology, having authored 13 papers that have together received 1.1k indexed citations. Recurring topics across this work include Cannabis and Cannabinoid Research (5 papers), Antifungal resistance and susceptibility (3 papers) and Pharmacological Receptor Mechanisms and Effects (3 papers). The work is most often cited by research in Toxicology (135 citations), Pharmacology (542 citations) and Cellular and Molecular Neuroscience (214 citations). Tim Young has collaborated with scholars based in United Kingdom, United States and Netherlands. Frequent co-authors include John P. Huggins, Trevor Smart, Louise Taylor, Alistair J. P. Brown, Dafydd R. Owen, Thomas Ryckmans, Martin P. Edwards, Lisa R. Thompson, Brice Enjalbert and Iryna Bohovych. Their work appears in journals such as Nature Communications, Pain and Molecular Microbiology.

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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