A. Makriyannis

2.6k citations
52 papers · 2.2k · h-index 24

Impact in

Papers in

A. Makriyannis

52 papers receiving 2.1k citations

Peers

A. Makriyannis
Comparison fields: 5 of 93
  • Pharmacology 1.5k
  • Cellular and Molecular Neuroscience 1.0k
  • Toxicology 165
  • Endocrine and Autonomic Systems 181
  • Cognitive Neuroscience 313
Replace Béla Szabó with:
Béla Szabó Germany
Michel Héaulme France
C.W. Gerth Germany
Edward J. Bilsky United States
Antoni Pastor Spain
Sandra P. Welch United States
Joel E. Schlosburg United States
Kiran Vemuri United States
Akira Shinoda Japan
C. S. Breivogel United States
A. Makriyannis relative to Béla Szabó Germany Béla Szabó's profile →
Citations per field
00.5×1.5×
Béla Szabó · 1×
Citations per year

Countries citing papers authored by A. Makriyannis

Since Specialization
Citations

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

Fields of papers citing papers by A. Makriyannis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 52 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003173
2 2012158
3 2010152
4 1994144
5 2003142
6 2007135
7 1997116
8 199895
9 201486
10 200573
11
Inhibition of intestinal motility by anandamide, an endogenous cannabinoid.
199770
12 200168
13 201061
14 200255
15 199655
16 200754
17 201152
18 199846
19 200636
20 200533

About A. Makriyannis

A. Makriyannis is a scholar working on Pharmacology, Cellular and Molecular Neuroscience, Toxicology, Physiology and Clinical Psychology, having authored 52 papers that have together received 2.2k indexed citations. Recurring topics across this work include Cannabis and Cannabinoid Research (39 papers), Neurotransmitter Receptor Influence on Behavior (25 papers), Forensic Toxicology and Drug Analysis (9 papers), Neuroscience and Neuropharmacology Research (9 papers), Psychedelics and Drug Studies (4 papers), Biochemical Analysis and Sensing Techniques (4 papers), Sleep and Wakefulness Research (3 papers) and Biochemical effects in animals (3 papers). The work is most often cited by research in Pharmacology (1.5k citations), Cellular and Molecular Neuroscience (1.0k citations), Toxicology (165 citations), Endocrine and Autonomic Systems (181 citations) and Cognitive Neuroscience (313 citations). A. Makriyannis has collaborated with scholars based in United States, Germany and Spain. Frequent co-authors include John D. Salamone, Kiran Vemuri, S. Lin, Peter McLaughlin, R. J. Lamb, Ganesh A. Thakur, Eric J. Nunes, Mohamed Ibrahim, Frank Porreca and Todd W. Vanderah. Their work appears in journals such as Behavioural Pharmacology, Psychopharmacology, Pharmacology Biochemistry and Behavior, The FASEB Journal and British Journal of Pharmacology.

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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