| Literature DB >> 35186862 |
Jianli Luo1, Shujuan Leng1, Yanhu Bai1.
Abstract
Background: The COVID-19 pandemic has exposed the fragility of the global food supply chain, strengthened consumers' awareness of the traceability system throughout the supply chain, and gradually changed consumers' consumption concepts and consumption patterns. Therefore, the aim of this study was to analyse the relevant literature on food safety in the food supply chain, examine its current status, hot spots, and development trends, and provide some suggestions for academics and relevant government departments in food supply chain safety research.Entities:
Keywords: bibliometrics; food safety; food supply chain; pandemic; traceability
Mesh:
Year: 2022 PMID: 35186862 PMCID: PMC8850300 DOI: 10.3389/fpubh.2021.742980
Source DB: PubMed Journal: Front Public Health ISSN: 2296-2565
Figure 1The structure model of the food supply chain.
Figure 2Article structure diagram.
Topic search queries used for data collection.
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| #1 | 3,424,449 | (TITLE(food* OR dairy OR fruit OR grain OR cereal OR meat OR pork OR beef or chicken OR fish OR vegetable OR grape OR wine OR rice OR coffee OR oil OR horticulture OR “Sugar cane” OR maize OR wheat OR potato OR “sugar beet” OR soybeans OR cassava OR tomato OR barley OR cotton OR apple)) OR (KEY(food* OR dairy OR fruit OR grain OR cereal OR meat OR pork OR beef or chicken OR fish OR vegetable OR grape OR wine OR rice OR coffee OR oil OR horticulture OR “Sugar cane” OR maize OR wheat OR potato OR “sugar beet” OR soybeans OR cassava OR tomato OR barley OR cotton OR apple)) |
| #2 | 1,312,930 | (TITLE(“supply chain” OR “supply network” OR “demand chain” OR “value chain” OR purchas* OR sourc* OR logistics OR procurement)) OR (KEY(“supply chain” OR “supply network” OR “demand chain” OR “value chain” OR purchas* OR sourc* OR logistics OR procurement)) |
| #3 | 4,151,056 | (TITLE(safet* OR securit* OR risk*)) OR (KEY(safet* OR securit* OR risk*)) |
| #4 | 11235 | #1 AND #2 AND #3 |
Figure 3Literature selection process.
Figure 4The number of annual publications and total cited between 1997 and 2020.
Figure 5Subject categories.
The performance of the 10 most leading journals.
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| 1 | Preventive veterinary medicine | 2.304 | 4.1 | 0.969 | 1.243 | 70 | 2,253 | 30 |
| 2 | Food control | 4.258 | 8.4 | 1.43 | 1.733 | 40 | 1,176 | 19 |
| 3 | Science of the total environment | 6.551 | 8.6 | 1.661 | 1.977 | 34 | 1,653 | 19 |
| 4 | Cancer epidemiology biomarkers and prevention | 4.344 | 8.2 | 2.857 | 1.729 | 18 | 1,199 | 17 |
| 5 | Cancer causes and control | 2.375 | 4.2 | 1.332 | 0.965 | 26 | 1,270 | 16 |
| 6 | American journal of clinical nutrition | 6.766 | 12.1 | 2.704 | 2.339 | 18 | 1,856 | 16 |
| 7 | British journal of nutrition | 3.334 | 6.4 | 1.236 | 1.297 | 20 | 605 | 14 |
| 8 | Journal of nutrition | 4.281 | 8.2 | 1.797 | 1.644 | 15 | 902 | 14 |
| 9 | Public health nutrition | 3.182 | 4.8 | 1.21 | 1.269 | 29 | 733 | 14 |
| 10 | Risk analysis | 3.137 | 5.1 | 1.092 | 1.482 | 27 | 877 | 14 |
Figure 6Distribution of national publications.
The top 10 productive countries.
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| 1 | United States | 698 | 20.42% | 22,853 | 28.01% | 69 |
| 2 | China | 307 | 8.98% | 5,059 | 6.20% | 38 |
| 3 | United kingdom | 212 | 6.20% | 5,695 | 6.98% | 44 |
| 4 | Canada | 142 | 4.15% | 3,931 | 4.82% | 33 |
| 5 | Australia | 134 | 3.92% | 2,607 | 3.20% | 29 |
| 6 | Italy | 123 | 3.60% | 2,536 | 3.11% | 29 |
| 7 | Netherlands | 114 | 3.33% | 4,106 | 5.03% | 37 |
| 8 | Germany | 112 | 3.28% | 2,742 | 3.36% | 28 |
| 9 | India | 90 | 2.63% | 1374 | 1.68% | 20 |
| 10 | France | 83 | 2.43% | 2,115 | 2.59% | 28 |
%TP = (Total Publications/Document numbers)*100%; %TC = (TC = Total Citations/All Citations)*100%.
The top 10 influential institutions.
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| 1 | Wageningen University & Research | Netherland | 68 | 2,778 | 30 |
| 2 | Chinese Academy of Sciences | China | 59 | 4,350 | 29 |
| 3 | Harvard University | United States | 43 | 2,161 | 27 |
| 4 | Swedish University of Agricultural Sciences | Sweden | 37 | 1,365 | 20 |
| 5 | University of Milan | Italy | 23 | 519 | 12 |
| 6 | University of Copenhagen | Denmark | 23 | 459 | 10 |
| 7 | National Cancer Institute (NCI) | United States | 21 | 1,071 | 16 |
| 8 | Harvard Medical School | United States | 20 | 959 | 10 |
| 9 | Chinese Academy of Agricultural Sciences | China | 20 | 736 | 9 |
| 10 | Cornell University | United States | 20 | 200 | 8 |
Information on the ten most influential researchers.
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| 1 | La Vecchia, C. | Italy | University of Milan | 16 | 602 | 12 |
| 2 | Talamini, R. | Italy | Centro di Riferimento Oncologico | 10 | 556 | 10 |
| 3 | Jacxsens, L. | Belgium | Ghent University | 10 | 340 | 10 |
| 4 | Willett, W.C. | United States | Harvard School of Public Health | 9 | 1,715 | 9 |
| 5 | Franceschi, S. | France | International Agency for Research on Cancer | 9 | 542 | 9 |
| 6 | Mirmiran, P. | Iran | Shahid Beheshti University of Medical Sciences | 9 | 441 | 8 |
| 7 | Azizi, F. | Iran | Shahid Beheshti University of Medical Sciences | 9 | 441 | 8 |
| 8 | Uyttendaele, M. | Belgium | Ghent University | 9 | 320 | 8 |
| 9 | Negri, E. | Italy | University of Milan | 9 | 417 | 7 |
| 10 | Grace, D. | Kenya | International Livestock Research Institute | 9 | 103 | 7 |
The top 10 frequently cited articles.
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| 1 | Giovannucci et al., 2002 ( | Journal of the National Cancer Institute | 570 | 31.67 |
| 2 | Kummu et al., 2012 ( | Science of the Total Environment | 459 | 57.38 |
| 3 | Hu et al., 1999 ( | American Journal of Clinical Nutrition | 428 | 20.38 |
| 4 | Malm, 1998 ( | Environmental Research | 367 | 16.68 |
| 5 | Opsomer et al., 2000 ( | Theriogenology | 338 | 16.90 |
| 6 | Shin et al., 2002 ( | Journal of the National Cancer Institute | 301 | 16.72 |
| 7 | Cornelis et al., 2006 ( | Journal of the American Medical Association | 296 | 21.14 |
| 8 | Roth et al., 2008 ( | Journal of Supply Chain management | 282 | 23.50 |
| 9 | Ko et al., 1997 ( | International Journal of Epidemiology | 261 | 11.35 |
| 10 | Azadbakht et al., 2005 ( | American Journal of Clinical Nutrition | 247 | 16.47 |
Frequently occurring keywords.
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| 1 | Human | 822 | 16 | Food supply | 329 | 31 | Meat | 178 |
| 2 | Country | 792 | 17 | Dietary intake | 320 | 32 | Vegetable | 175 |
| 3 | Statistical model | 708 | 18 | Food supply chain | 288 | 33 | Crop production | 165 |
| 4 | Gender difference | 640 | 19 | Major clinical study | 263 | 34 | Nutritional assessment | 164 |
| 5 | Age distribution | 563 | 20 | Health risk | 247 | 35 | Food microbiology | 154 |
| 6 | Controlled study | 481 | 21 | Dairy product | 222 | 36 | Organic pollutants | 151 |
| 7 | Risk factor | 474 | 22 | Questionnaire | 213 | 37 | Traceability | 149 |
| 8 | Risk assessment | 452 | 23 | Income | 197 | 38 | Pevalence | 148 |
| 9 | Logistic models | 451 | 24 | Environmental impact | 197 | 39 | Food contamination | 147 |
| 10 | Foodborne diseases | 429 | 25 | Food consumption | 196 | 40 | Heavy metal | 147 |
| 11 | Food security | 409 | 26 | Agriculture | 194 | 41 | Socioeconomics | 144 |
| 12 | Food safety | 408 | 27 | Disease association | 189 | 42 | Catering service | 143 |
| 13 | Risk | 396 | 28 | Consumer behavior | 185 | 43 | Adverse effects | 140 |
| 14 | Animal | 391 | 29 | Cross-sectional studies | 180 | 44 | Supply chain management | 134 |
| 15 | Diet | 355 | 30 | Education | 180 | 45 | Chemical contamination | 134 |
NO, Number of occurrences.
Figure 7Visualization of keywords' networks (NO > 20).
Figure 8Sankey diagram.