| Literature DB >> 30970601 |
Andy Wai Kan Yeung1, Michal Horbańczuk2, Nikolay T Tzvetkov3,4, Andrei Mocan5,6, Simone Carradori7, Filippo Maggi8, Joanna Marchewka9, Stefania Sut10, Stefano Dall'Acqua11, Ren-You Gan12, Lyubka P Tancheva13, Timea Polgar14, Ioana Berindan-Neagoe15,16,17, Vasil Pirgozliev18, Karel Šmejkal19, Atanas G Atanasov20,21,22.
Abstract
The current study aimed to provide a comprehensive bibliometric overview of the literature on curcumin, complementing the previous reviews and meta-analyses on its potential health benefits. Bibliometric data for the current analysis were extracted from the Web of Science Core Collection database, using the search string TOPIC=("curcumin*"), and analyzed by the VOSviewer software. The search yielded 18,036 manuscripts. The ratio of original articles to reviews was 10.4:1. More than half of the papers have been published since 2014. The major contributing countries were the United States, China, India, Japan, and South Korea. These publications were mainly published in journals representing the following scientific disciplines: biochemistry, chemistry, oncology, and pharmacology. There was a significant positive correlation between the total publication count and averaged citations per manuscript for affiliations, but not for countries/regions and journals. Chemicals that were frequently mentioned in the keywords of evaluated curcumin publications included curcuminoids, resveratrol, chitosan, flavonoids, quercetin, and polyphenols. The literature mainly focused on curcumin's effects against cancer, inflammation, and oxidative stress. Cancer types most frequently investigated were breast, colon, colorectal, pancreatic, and prostate cancers.Entities:
Keywords: VOSviewer; Web of Science; bibliometrics; biochemistry; cancer; citation analysis; curcumin; pharmacology
Mesh:
Substances:
Year: 2019 PMID: 30970601 PMCID: PMC6480685 DOI: 10.3390/molecules24071393
Source DB: PubMed Journal: Molecules ISSN: 1420-3049 Impact factor: 4.411
The top five contributor journals, organizations, and countries/territories of the 18,036 manuscripts.
| Contributor | Publication Count (% of Total) | Citation Per Manuscript |
|---|---|---|
|
| ||
| PLOS One | 234 (1.3%) | 21.6 |
| FASEB Journal | 197 (1.1%) | 4.3 |
| Cancer Research | 191 (1.1%) | 39.0 |
| RSC Advances | 191 (1.1%) | 7.6 |
| Journal of Agricultural and Food Chemistry | 187 (1.0%) | 41.2 |
|
| ||
| Council of Scientific Industrial Research (CSIR India) | 503 (2.8%) | 12.1 |
| University of Texas | 307 (1.7%) | 173.5 |
| University of California | 239 (1.3%) | 71.1 |
| Wenzhou Medical University | 216 (1.2%) | 9.6 |
| Indian Institute of Technology | 200 (1.1%) | 20.2 |
|
| ||
| United States | 4073 (22.3%) | 39.0 |
| China | 3546 (19.7%) | 15.3 |
| India | 3128 (17.3%) | 23.4 |
| Japan | 990 (5.5%) | 28.7 |
| South Korea | 884 (4.9%) | 24.3 |
Pearson’s correlation tests revealed that there was a significant positive correlation between total publication count and averaged citations per manuscript for affiliations (r = 0.147, p = 0.005), but not for countries/regions (r = 0.131, p = 0.333), or journals (r = 0.032, p = 0.656). These results implied that the citation advantage by publishing more only existed in the affiliation level.
Figure 1Bubble map visualizing words from titles and abstracts of the 18,036 curcumin publications. We used VOSviewer software to analyze and visualize recurring terms from titles and abstracts. Only words that appeared in at least 1.0% (n = 181) of the publications were analyzed and visualized. There were 422 terms that appeared in at least 1.0% of the evaluated publications. The word size indicates the appearance frequency of the words (multiple appearances in a single manuscript count as one). Two words are closer to each other if they co-occurred more frequently in the evaluated publications. Bubble colors represent the averaged citations of the terms.
The top 20 recurring terms from titles and abstracts.
| Term | Occurrence (% of 18,036 Publications) |
|---|---|
| Curcumin | 13,722 (76.1%) |
| Effect | 7958 (44.1%) |
| Study | 7418 (41.1%) |
| Cell | 6096 (33.8%) |
| Activity | 5832 (32.3%) |
| Treatment | 4917 (27.3%) |
| Compound | 3661 (20.3%) |
| Level | 3612 (20.0%) |
| Expression | 3363 (18.6%) |
| Agent | 3287 (18.2%) |
| Mechanism | 3087 (17.1%) |
| Property | 2939 (16.3%) |
| Concentration | 2858 (15.8%) |
| Analysis | 2735 (15.2%) |
| Inhibition | 2720 (15.1%) |
| Pathway | 2712 (15.0%) |
| Drug | 2663 (14.8%) |
| Disease | 2661 (14.8%) |
| Group | 2606 (14.4%) |
| Protein | 2597 (14.4%) |
Figure 2Bubble map visualizing keywords of the 18,036 curcumin publications. We used VOSviewer software to analyze and visualize recurring keywords added to the publications by the authors and by Web of Science. Only keywords that appeared in at least 1.0% (n = 181) of the publications were analyzed and visualized. There were 108 keywords that appeared in at least 1.0% of the evaluated publications. The word size indicates the appearance frequency of the words (multiple appearances in a single manuscript count as one). Two words are closer to each other if they co-occurred more frequently in the evaluated publications. Bubble colors represent the averaged citations of the terms.
The top 20 recurring keywords.
| Keyword | Occurrence (% of 18,036 Publications) |
|---|---|
| Curcumin | 9539 (52.9%) |
| Apoptosis | 2223 (12.3%) |
| In vitro | 1909 (10.6%) |
| Oxidative stress | 1834 (10.2%) |
| Nf kappa b | 1558 (8.6%) |
| Expression | 1543 (8.6%) |
| Cells | 1480 (8.2%) |
| Cancer | 1290 (7.2%) |
| Inhibition | 1269 (7.0%) |
| Activation | 1230 (6.8%) |
| Antioxidant | 1108 (6.1%) |
| Nanoparticles | 1021 (5.7%) |
| Drug delivery | 939 (5.2%) |
| In vivo | 880 (4.9%) |
| Inflammation | 808 (4.5%) |
| Mice | 773 (4.3%) |
| Cancer cells | 768 (4.3%) |
| Gene expression | 768 (4.3%) |
| Alzheimer’s disease | 746 (4.1%) |
| Rats | 708 (3.9%) |
Figure 3Chemical structures of key single chemicals or representatives of chemical classes that were often discussed in the evaluated curcumin publications. The cited compound classes (italic), number of publications and citations per publication for each chemical or representative chemical class are given in brackets.
The top 20 recurring keywords in each decade.
| 1990s | Occurrence (% of 607) | 2000s | Occurrence (% of 3683) | 2010s | Occurrence (% of 13,636) |
|---|---|---|---|---|---|
| Curcumin | 140 (23.1%) | Curcumin | 1490 (40.5%) | Curcumin | 7909 (58.0%) |
| Inhibition | 37 (6.1%) | Apoptosis | 442 (12.0%) | Apoptosis | 1773 (13.0%) |
| Acid | 33 (5.4%) | Nf kappa b | 383 (10.4%) | In vitro | 1688 (12.4%) |
| Tumor promotion | 30 (4.9%) | Inhibition | 355 (9.6%) | Oxidative stress | 1538 (11.3%) |
| Activation | 28 (4.6%) | Expression | 306 (8.3%) | Expression | 1228 (9.0%) |
| Chemoprevention | 28 (4.6%) | Activation | 298 (8.1%) | Cells | 1188 (8.7%) |
| Dietary curcumin | 26 (4.3%) | Oxidative stress | 291 (7.9%) | Cancer | 1038 (7.6%) |
| Mouse skin | 24 (4.0%) | Cells | 277 (7.5%) | Nanoparticles | 1009 (7.4%) |
| Cancer | 23 (3.8%) | Gene expression | 267 (7.2%) | Nf kappa b | 987 (7.2%) |
| Antioxidants | 22 (3.6%) | Cancer | 229 (6.2%) | Activation | 904 (6.6%) |
| Curcuminoids | 22 (3.6%) | Dietary curcumin | 224 (6.1%) | Antioxidant | 889 (6.5%) |
| Lipid peroxidation | 22 (3.6%) | In vitro | 219 (5.9%) | Inhibition | 877 (6.4%) |
| Carcinogenesis | 21 (3.5%) | Antioxidant | 202 (5.5%) | Drug delivery | 743 (5.4%) |
| Turmeric | 20 (3.3%) | Lipid peroxidation | 172 (4.7%) | In vivo | 740 (5.4%) |
| Colon carcinogenesis | 19 (3.1%) | Induction | 147 (4.0%) | Inflammation | 706 (5.2%) |
| Induction | 19 (3.1%) | In vivo | 138 (3.7%) | Mice | 644 (4.7%) |
| In vitro | 16 (2.6%) | Proliferation | 133 (3.6%) | Bioavailability | 610 (4.5%) |
| Protein-kinase-c | 16 (2.6%) | Curcuminoids | 125 (3.4%) | Stability | 609 (4.5%) |
| Cells | 15 (2.5%) | Mice | 116 (3.1%) | Rats | 588 (4.3%) |
| Gene expression | 14 (2.3%) | Chemoprevention | 114 (3.1%) | Therapy | 540 (4.0%) |
The top 20 recurring keywords, in descending order, used in the publications contributed by the top five most productive countries since 2014.
| (1) China | (2) India | (3) USA | (4) Iran | (5) Italy |
|---|---|---|---|---|
| Curcumin | Curcumin | Curcumin | Curcumin | Curcumin |
| Apoptosis | In vitro | In vitro | Oxidative stress | In vitro |
| In vitro | Nanoparticles | Apoptosis | In vitro | Oxidative stress |
| Expression | Apoptosis | Nf kappa b | Cancer | Nanoparticles |
| Nanoparticles | Oxidative stress | Expression | Nanoparticles | Nf kappa b |
| Oxidative stress | Cancer | Oxidative stress | Apoptosis | Apoptosis |
| Cells | Drug delivery | Cancer | Cells | Drug delivery |
| Activation | Cells | Nanoparticles | Placebo-controlled trial | Inflammation |
| Drug delivery | Antioxidant | Cells | Drug delivery | Cancer |
| Inhibition | Bioavailability | In vivo | Antioxidant | Expression |
| Cancer | Delivery | Inflammation | Inhibition | Alzheimer’s disease |
| Mice | Inhibition | Activation | Nf kappa b | Cells |
| Inflammation | Expression | Bioavailability | Randomized controlled trial | Randomized controlled trial |
| Stability | Stability | Inhibition | Double-blind | Placebo-controlled trial |
| Proliferation | Derivatives | Drug delivery | Inflammation | Polyphenols |
| In vivo | Cytotoxicity | Delivery | Therapy | Resveratrol |
| Nf kappa b | Nf kappa b | Stability | Quality of life | Therapy |
| Antioxidant | Design | Antioxidant | Delivery | In vivo |
| Delivery | Inflammation | Alzheimer’s disease | Expression | Double-blind |
| Therapy | Formulation | Mice | Mice | Activation |
The top 20 recurring keywords from publications mentioning C. longa or turmeric but not curcumin.
| Keyword | Occurrence (% of 3920 Publications) |
|---|---|
| Turmeric | 299 (7.6%) |
|
| 231 (5.9%) |
| Essential oil | 211 (5.4%) |
| In vitro | 205 (5.2%) |
| Zingiberaceae | 198 (5.1%) |
| Apoptosis | 178 (4.5%) |
| Antioxidant | 176 (4.5%) |
| Antioxidant activity | 142 (3.6%) |
| Constituents | 140 (3.6%) |
| Oxidative stress | 131 (3.3%) |
| Extract | 127 (3.2%) |
| Expression | 126 (3.2%) |
| Antimicrobial activity | 118 (3.0%) |
| Cells | 114 (2.9%) |
| Growth | 112 (2.9%) |
| Curcuma | 110 (2.8%) |
| Inhibition | 110 (2.8%) |
| Rats | 102 (2.6%) |
| Sesquiterpenes | 100 (2.6%) |
| Ginger | 93 (2.4%) |
Figure 4Venn diagram comparing the keywords used by curcumin-focused publications and those used by publications mentioning Curcuma longa or turmeric but not curcumin. Keywords from the former were more clinically relevant, whereas those from the latter were more related to plant science studies; commonly used keywords are presented in the middle of the diagram.