David A. Thorn

656 citations
21 papers · 577 · h-index 16

Impact in

Papers in

David A. Thorn

21 papers receiving 573 citations

Peers

David A. Thorn
Comparison fields: 5 of 69
  • Cellular and Molecular Neuroscience 357
  • Developmental Neuroscience 47
  • Sensory Systems 29
  • Pharmacology 89
  • Physiology 119
Replace Catherine H. Trepanier with:
Catherine H. Trepanier Canada
Joana M. Marques Portugal
Michela Giustizieri Italy
Timothy Johnstone United States
Michelle A. Merrill United States
Berta Sunyer Austria
Isabel Espadas Spain
Anne‐Sophie Villégier France
Hussam Jourdi United States
Priscila Alves Balista Brazil
David A. Thorn relative to Catherine H. Trepanier Canada Catherine H. Trepanier's profile →
Citations per field
00.5×
Catherine H. Trepanier · 1×
Citations per year

Countries citing papers authored by David A. Thorn

Since Specialization
Citations

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

Fields of papers citing papers by David A. Thorn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David A. Thorn. 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 David A. Thorn. The network helps show where David A. Thorn may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201476
2 201566
3 201445
4 201344
5 201439
6 201138
7 201233
8 201631
9 202129
10 201224
11 200423
12 200621
13 201620
14 201520
15 201515
16 201215
17 201513
18 201713
19 20147
20 20164

About David A. Thorn

David A. Thorn is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Physiology, Cognitive Neuroscience and Pharmacology, having authored 21 papers that have together received 577 indexed citations. Recurring topics across this work include Neurotransmitter Receptor Influence on Behavior (13 papers), Pain Mechanisms and Treatments (7 papers), Receptor Mechanisms and Signaling (5 papers), Neuropeptides and Animal Physiology (4 papers), Neuroendocrine regulation and behavior (2 papers), Neuroscience and Neuropharmacology Research (2 papers), Cannabis and Cannabinoid Research (2 papers) and Sleep and Wakefulness Research (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (357 citations), Developmental Neuroscience (47 citations), Sensory Systems (29 citations), Pharmacology (89 citations) and Physiology (119 citations). David A. Thorn has collaborated with scholars based in United States, China and Germany. Frequent co-authors include Jun‐Xu Li, Yanan Zhang, Yanyan Qiu, Biwen Peng, J.C. Winter, Amy M. Gancarz, David Dietz, Chad M. Galuska, Jing Li and Jianfeng Liu. Their work appears in journals such as Behavioural Pharmacology, European Journal of Pharmacology, British Journal of Pharmacology, Psychopharmacology and The International Journal of Neuropsychopharmacology.

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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