| Literature DB >> 35610633 |
Abstract
BACKGROUND: Cannabis refers to a plant in the family Cannabaceae, which has been used medically, recreationally, and industrially. The last two decades, in particular, have seen a large increase in the volume of literature on this topic. The present bibliometric analysis aims to capture the characteristics of scholarly journal publications on the topic of cannabis and cannabinoid research.Entities:
Keywords: Bibliometric analysis; Cannabis; Marijuana; Research trends; Scientometrics
Year: 2022 PMID: 35610633 PMCID: PMC9131698 DOI: 10.1186/s42238-022-00133-0
Source DB: PubMed Journal: J Cannabis Res ISSN: 2522-5782
Fig. 1Number of cannabis and cannabinoid publications per year from 1940 to 2020. Data was collected from Scopus in a single search. The year 2021 was omitted due to the year being incomplete at the time the search was conducted
Fig. 2Citation analysis of the 100 journals publishing the largest number of cannabis and cannabinoid publications. Journals with a higher total number of citations on publications are depicted using larger nodes and larger text. The VOSviewer software was used to generate the bibliometric web
Characteristics of the 30 journals having published the highest number of cannabis and cannabinoid publications
| Journal name | Number of publications | 2019 impact factor | Country of publication | % of total publications ( |
|---|---|---|---|---|
| Drug and Alcohol Dependence | 706 | 3.951 | Ireland | 2.37% |
| Addictive Behaviors | 419 | 3.645 | UK | 1.41% |
| British Journal of Pharmacology | 356 | 7.730 | USA | 1.20% |
| Psychopharmacology | 343 | 3.130 | Germany | 1.15% |
| Addiction | 313 | 6.343 | UK | 1.05% |
| Substance Use and Misuse | 308 | 1.497 | UK | 1.03% |
| European Journal of Pharmacology | 306 | 3.263 | Netherlands | 1.03% |
| Pharmacology Biochemistry and Behavior | 246 | 2.519 | USA | 0.83% |
| Journal of Pharmacology and Experimental Therapeutics | 243 | 3.561 | USA | 0.82% |
| Neuropharmacology | 222 | 4.431 | UK | 0.75% |
| PLOS One | 217 | 2.740 | USA | 0.73% |
| International Journal of Drug Policy | 202 | 4.444 | Netherlands | 0.68% |
| Forensic Science International | 183 | 2.108 | Ireland | 0.61% |
| Journal of Medicinal Chemistry | 181 | 6.205 | USA | 0.61% |
| Journal of Psychoactive Drugs | 181 | 1.859 | UK | 0.61% |
| Life Sciences | 170 | 3.647 | USA | 0.57% |
| Journal of Analytical Toxicology | 166 | 3.513 | USA | 0.56% |
| Brain Research | 153 | 2.733 | Netherlands | 0.51% |
| Neuroscience | 148 | 3.056 | UK | 0.50% |
| Journal of Neuroscience | 142 | 5.674 | USA | 0.48% |
| Neuropsychopharmacology | 139 | 6.751 | UK | 0.47% |
| Biochemical Pharmacology | 137 | 4.960 | USA | 0.46% |
| Drug Testing and Analysis | 133 | 2.903 | UK | 0.45% |
| American Journal of Drug and Alcohol Abuse | 129 | 2.925 | USA | 0.43% |
| Journal of Studies on Alcohol and Drugs | 123 | 2.448 | USA | 0.41% |
| Psychology of Addictive Behaviors | 121 | 2.780 | USA | 0.41% |
| Journal of Drug Issues | 120 | 1.214 | USA | 0.40% |
| Journal of Psychopharmacology | 118 | 3.121 | UK | 0.40% |
| American Journal on Addictions | 113 | 2.371 | USA | 0.38% |
| Drug and Alcohol Review | 112 | 2.472 | USA | 0.38% |
The journal name and number of publications were derived from the single search on Scopus conducted for the bibliometric analysis. The journal impact factor is a ratio of the citations to the number of publications a journal publishes over a given time period. The demographic information of each journal was found using the Scimago Journal & Country Rank
Fig. 3Co-authorship analysis of the 50 most productive countries with respect to cannabis and cannabinoid research. The number of edges connecting two nodes visually quantifies the level of collaboration between researchers or institutions in different countries. Data was collected from Scopus, and the VOSviewer software tool was used to generate the bibliometric web
General characteristics of cannabis and cannabinoid publications
| Publication volume | |||
| Number of total publications ( | |||
| Number of open access publications ( | (% of publications) | 34.27% | |
| Document type (# of publications) | Article ( | 88.24% | |
| Review ( | 11.76% | ||
| Source titles (journals) across all publications ( | |||
| Unique authors across all publications ( | |||
| Subject area of publication (10 highest) | |||
| (# of publications) | Medicine ( | (% of publications) | 57.46% |
| Pharmacology, Toxicology and Pharmaceutics ( | 28.87% | ||
| Biochemistry, Genetics and Molecular Biology ( | 19.55% | ||
| Neuroscience ( | 14.31% | ||
| Psychology ( | 8.53% | ||
| Social Sciences ( | 7.34% | ||
| Chemistry ( | 7.27% | ||
| Agricultural and Biological Sciences ( | 5.30% | ||
| Environmental Science ( | 2.90% | ||
| Nursing ( | 2.27% | ||
| Language of publication (10 highest) | |||
| (# of publications) | English ( | (% of publications) | 93.00% |
| German ( | 2.21% | ||
| French ( | 1.64% | ||
| Spanish ( | 1.22% | ||
| Chinese ( | 0.45% | ||
| Dutch ( | 0.31% | ||
| Italian ( | 0.26% | ||
| Portuguese ( | 0.26% | ||
| Japanese ( | 0.21% | ||
| Norwegian ( | 0.17% | ||
| Country of publication (10 highest) | |||
| (# of publications) | USA ( | (% of publications) | 41.68% |
| UK ( | 7.50% | ||
| Canada ( | 6.92% | ||
| Germany ( | 5.68% | ||
| Italy ( | 5.58% | ||
| Spain ( | 4.64% | ||
| Australia ( | 4.45% | ||
| France ( | 3.46% | ||
| Netherlands ( | 2.67% | ||
| China ( | 2.53% | ||
| Institutional affiliation (10 highest) | |||
| (# of publications) | University of Toronto ( | (% of publications) | 1.53% |
| King’s College London ( | 1.44% | ||
| National Institutes of Health ( | 1.43% | ||
| Virginia Commonwealth University ( | 1.30% | ||
| Universidad Complutense de Madrid ( | 1.25% | ||
| University of Washington, Seattle ( | 1.19% | ||
| National Institute on Drug Abuse ( | 1.17% | ||
| Harvard Medical School ( | 1.14% | ||
| Inserm ( | 1.12% | ||
| Universidade de Sao Paulo ( | 1.10% | ||
| Funding sponsor (10 highest) | |||
| (# of publications) | National Institutes of Health (USA) ( | (% of publications) | 19.62% |
| Department of Health and Human Services (USA) ( | 19.39% | ||
| National Institute on Drug Abuse (USA) ( | 14.67% | ||
| National Institute on Alcohol Abuse and Alcoholism (USA) ( | 3.38% | ||
| National Institute of Mental Health (USA) ( | 2.17% | ||
| European Commission ( | 1.46% | ||
| Government of Canada ( | 1.32% | ||
| National Cancer Institute (USA) ( | 1.06% | ||
| Canadian Institutes of Health Research ( | 1.05% | ||
| UK Research and Innovation ( | 1.00% | ||
VOSviewer was used to find the number of unique authors across all publications and all other data was collected from Scopus. The Department of Health and Human Services, National Institute on Drug Abuse, National Institute on Alcohol Abuse and Alcoholism, National Institute of Mental Health, and National Cancer Institute (all based in the USA) are associated with the US National Institutes of Health. The Canadian Institutes of Health Research is associated with the Government of Canada
Ten most productive authors across cannabis and cannabinoid publications
| Author name | Number of publications | % of total publications ( |
|---|---|---|
| Mechoulam, R. | 228 | 0.77% |
| Makriyannis, A. | 225 | 0.76% |
| Huestis, M.A. | 180 | 0.60% |
| Di Marzo, V. | 172 | 0.58% |
| Martin, B.R. | 162 | 0.54% |
| Mackie, K. | 142 | 0.48% |
| Pertwee, R.G. | 140 | 0.47% |
| Lutz, B. | 96 | 0.32% |
| Zuardi, A.W. | 92 | 0.31% |
| Guimarães, F.S. | 87 | 0.29% |
All data was collected from Scopus
Ten highest cited cannabis and cannabinoid publications
| Title | Authors | Year | Source title | Cited by |
|---|---|---|---|---|
| Isolation and structure of a brain constituent that binds to the cannabinoid receptor | Devane W.A., Hanuš L., Breuer A., Pertwee R.G., Stevenson L.A., Griffin G., Gibson D., Mandelbaum A., Etinger A., Mechoulam R. | 1992 | Science | 4340 |
| Structure of a cannabinoid receptor and functional expression of the cloned cDNA | Matsuda L.A., Lolait S.J., Brownstein M.J., Young A.C., Bonner T.I. | 1990 | Nature | 3923 |
| Molecular characterization of a peripheral receptor for cannabinoids | Munro S., Thomas K.L., Abu-Shaar M. | 1993 | Nature | 3788 |
| Identification of an endogenous 2-monoglyceride, present in canine gut, that binds to cannabinoid receptors | Mechoulam R., Ben-Shabat S., Hanus L., Ligumsky M., Kaminski N.E., Schatz A.R., Gopher A., Almog S., Martin B.R., Compton D.R., Pertwee R.G., Griffin G., Bayewitch M., Barg J., Vogel Z. | 1995 | Biochemical Pharmacology | 2166 |
| International Union of Pharmacology. XXVII. Classification of cannabinoid receptors | Howlett A.C., Barth F., Bonner T.I., Cabral G., Casellas P., Devane W.A., Felder C.C., Herkenham M., Mackie K., Martin B.R., Mechoulam R., Pertwee R.G. | 2002 | Pharmacological Reviews | 2092 |
| Determination and characterization of a cannabinoid receptor in rat brain | Devane W.A., Dysarz III F.A., Johnson M.R., Melvin L.S., Howlett A.C. | 1988 | Molecular Pharmacology | 1875 |
| Cannabinoid receptor localization in brain | Herkenham M., Lynn A.B., Little M.D., Johnson M.R., Melvin L.S., De Costa B.R., Rice K.C. | 1990 | Proceedings of the National Academy of Sciences of the United States of America | 1771 |
| Characterization and localization of cannabinoid receptors in rat brain: A quantitative in vitro autoradiographic study | Herkenham M., Lynn A.B., Johnson M.R., Melvin L.S., De Costa B.R., Rice K.C. | 1991 | Journal of Neuroscience | 1674 |
| 2-arachidonoylglycerol: A possible endogenous cannabinoid receptor ligand in brain | Sugiura T., Kondo S., Sukagawa A., Nakane S., Shinoda A., Itoh K., Yamashita A., Waku K. | 1995 | Biochemical and Biophysical Research Communications | 1670 |
| Isolation, structure, and partial synthesis of an active constituent of hashish | Gaoni Y., Mechoulam R. | 1964 | Journal of the American Chemical Society | 1583 |
All data was collected from Scopus
Sixty most frequent author keywords across the titles of cannabis and cannabinoid publications
| Author keyword | Frequency | % |
|---|---|---|
| Cannabis | 5171 | 17.35% |
| Marijuana | 2876 | 9.65% |
| Cannabinoids | 1998 | 6.70% |
| Cannabinoid | 1417 | 4.75% |
| Cannabidiol | 1237 | 4.15% |
| THC | 604 | 2.03% |
| Alcohol | 571 | 1.92% |
| Schizophrenia | 529 | 1.78% |
| Cannabis Sativa | 486 | 1.63% |
| Anandamide | 467 | 1.57% |
| Synthetic Cannabinoids | 448 | 1.50% |
| Adolescents | 436 | 1.46% |
| Cannabinoid Receptors | 434 | 1.46% |
| Cannabinoid Receptor | 419 | 1.41% |
| Adolescence | 409 | 1.37% |
| Psychosis | 395 | 1.33% |
| Endocannabinoids | 383 | 1.29% |
| Medical Marijuana | 356 | 1.19% |
| Tetrahydrocannabinol | 350 | 1.17% |
| Cannabis Use | 348 | 1.17% |
| Pain | 343 | 1.15% |
| Tobacco | 327 | 1.10% |
| Anxiety | 313 | 1.05% |
| Endocannabinoid System | 311 | 1.04% |
| Endocannabinoid | 307 | 1.03% |
| Substance Use | 304 | 1.02% |
| Marijuana Use | 299 | 1.00% |
| Inflammation | 292 | 0.98% |
| CBD | 280 | 0.94% |
| CB1 Receptor | 275 | 0.92% |
| Hemp | 275 | 0.92% |
| CB1 | 272 | 0.91% |
| Rat | 268 | 0.90% |
| Depression | 256 | 0.86% |
| Adolescent | 248 | 0.83% |
| Cognition | 244 | 0.82% |
| Addiction | 242 | 0.81% |
| Medical Cannabis | 236 | 0.79% |
| Hippocampus | 226 | 0.76% |
| Δ9-Tetrahydrocannabinol | 223 | 0.75% |
| Dependence | 214 | 0.72% |
| Rimonabant | 212 | 0.71% |
| Cannabis Use Disorder | 211 | 0.71% |
| Cocaine | 207 | 0.69% |
| Epilepsy | 191 | 0.64% |
| Treatment | 191 | 0.64% |
| Synthetic Cannabinoid | 179 | 0.60% |
| Epidemiology | 178 | 0.60% |
| Multiple Sclerosis | 178 | 0.60% |
| Legalization | 177 | 0.59% |
| Neuroprotection | 170 | 0.57% |
| Dopamine | 163 | 0.55% |
| Young Adults | 160 | 0.54% |
| CB2 | 158 | 0.53% |
| Obesity | 158 | 0.53% |
| Pregnancy | 156 | 0.52% |
| Memory | 150 | 0.50% |
| Smoking | 149 | 0.50% |
| Cancer | 144 | 0.48% |
| Withdrawal | 139 | 0.47% |
The most common author keywords for this subset of publications (n = 29 802). All data was downloaded from Scopus and analyzed in VOSviewer
Fig. 4Co-occurrence analysis of the 500 most frequent author keywords. The most frequently used keywords appear as larger nodes with larger text. Each cluster of highly related keywords is displayed using a different colour to facilitate categorization. Data was collected from Scopus, and the bibliometric web was generated using the VOSviewer software