Beat Lutz

32.9k total citations · 6 hit papers
290 papers, 23.1k citations indexed

About

Beat Lutz is a scholar working on Pharmacology, Cellular and Molecular Neuroscience and Cognitive Neuroscience. According to data from OpenAlex, Beat Lutz has authored 290 papers receiving a total of 23.1k indexed citations (citations by other indexed papers that have themselves been cited), including 211 papers in Pharmacology, 155 papers in Cellular and Molecular Neuroscience and 76 papers in Cognitive Neuroscience. Recurrent topics in Beat Lutz's work include Cannabis and Cannabinoid Research (209 papers), Neuroscience and Neuropharmacology Research (129 papers) and Neurotransmitter Receptor Influence on Behavior (60 papers). Beat Lutz is often cited by papers focused on Cannabis and Cannabinoid Research (209 papers), Neuroscience and Neuropharmacology Research (129 papers) and Neurotransmitter Receptor Influence on Behavior (60 papers). Beat Lutz collaborates with scholars based in Germany, United States and Spain. Beat Lutz's co-authors include Giovanni Marsicano, Krisztina Monory, Heike Hermann, Carsten T. Wotjak, Vincenzo Di Marzo, Uberto Pagotto, Shahnaz Christina Azad, Daniela Cota, W. Zieglgänsberger and Gerhard Rammes and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Beat Lutz

286 papers receiving 22.7k citations

Hit Papers

The endogenous cannabinoid system controls extinction of ... 1999 2026 2008 2017 2002 2003 2003 1999 2005 400 800 1.2k

Peers

Beat Lutz
Comparison fields: 5 of 151
  • Pharmacology 16.8k
  • Cellular and Molecular Neuroscience 11.6k
  • Cognitive Neuroscience 5.2k
  • Physiology 3.0k
  • Molecular Biology 2.6k
Replace Giovanni Marsicano with:
Giovanni Marsicano France
Tiziana Bisogno Italy
Cecilia J. Hillard United States
Roger G. Pertwee United Kingdom
Aron H. Lichtman United States
George Kunos United States
Catherine Ledent Belgium
A­llyn C. Howlett United States
Francisco Silveira Guimarães Brazil
Javier Fernández‐Ruíz Spain
Giovanni Marsicano France View profile →
Citations per field, relative to Beat Lutz
Beat Lutz · 1×
Citations per year, relative to Beat Lutz
Beat Lutz · 1×

Countries citing papers authored by Beat Lutz

Since Specialization
Citations

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

Fields of papers citing papers by Beat Lutz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Beat Lutz

This figure shows the co-authorship network connecting the top 25 collaborators of Beat Lutz. A scholar is included among the top collaborators of Beat Lutz 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 Beat Lutz. Beat Lutz 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
# Work Indexed citations
1 1
2 3
3 12
4 8
5 5
6 16
7 15
8 9
9 4
10 88
11 2
12 56
13 21
14 144
15 41
16 142
17 149
18 105
19 341
20 369

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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