Mario van der Stelt

9.9k citations
139 papers · 6.2k indexed · 2 hit papers · h-index 41
Topics
Cannabis and Cannabinoid Research (82 papers)Neuroscience and Neuropharmacology Research (26 papers)Pancreatic function and diabetes (24 papers)

In The Last Decade

Mario van der Stelt

132 papers receiving 6.1k citations

Hit Papers

CB1 Cannabinoid Receptors and On-Demand Defense Against E...200320262010201820032023250500750

Peers

Mario van der Stelt
Comparison fields: 5 of 118
  • Pharmacology 4.0k
  • Cellular and Molecular Neuroscience 2.6k
  • Molecular Biology 1.5k
  • Cognitive Neuroscience 878
  • Physiology 779
Replace Maria Grazia Cascio with:
Maria Grazia Cascio Italy
Ruth A. Ross United Kingdom
Mary E. Abood United States
Alice C. Young United States
Patricia H. Reggio United States
Christian C. Felder United States
Zvi Vogel Israel
Dana E. Selley United States
Graeme Griffin United States
Takayuki Sugiura Japan
Mario van der Stelt relative to Maria Grazia Cascio Italy Maria Grazia Cascio's profile →
Citations per field
00.5×
Maria Grazia Cascio · 1×
Citations per year

Countries citing papers authored by Mario van der Stelt

Since Specialization
Citations

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

Fields of papers citing papers by Mario van der Stelt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mario van der Stelt. 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 Mario van der Stelt. The network helps show where Mario van der Stelt may publish in the future.

Co-authorship network of co-authors of Mario van der Stelt

This figure shows the co-authorship network connecting the top 25 collaborators of Mario van der Stelt. A scholar is included among the top collaborators of Mario van der Stelt 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 Mario van der Stelt. Mario van der Stelt is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 0
3 1
4 1
5 0
6 35
7 2
8 23
9 23
10 18
11 9
12 71
13 54
14 29
15 6
16 8
17 56
18 1
19 118
20 154

About Mario van der Stelt

Mario van der Stelt is a scholar working on Pharmacology, Toxicology and Cellular and Molecular Neuroscience, having authored 139 papers that have together received 6.2k indexed citations. Recurring topics across this work include Cannabis and Cannabinoid Research (82 papers), Neuroscience and Neuropharmacology Research (26 papers) and Pancreatic function and diabetes (24 papers). The work is most often cited by research in Pharmacology (4.0k citations), Cellular and Molecular Neuroscience (2.6k citations) and Toxicology (326 citations). Mario van der Stelt has collaborated with scholars based in Netherlands, United States and Italy. Frequent co-authors include Vincenzo Di Marzo, Mauro Maccarrone, Gerrit A. Veldink, Marc P. Baggelaar, Herman S. Overkleeft, Wouter B. Veldhuis, Klaas Nicolay, P.R. Bär, Beat Lutz and Johannes F.G. Vliegenthart. Their work appears in journals such as Science, Cell and Proceedings of the National Academy of Sciences.

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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