ArticleFoods (Basel, Switzerland)2025
Global Research Trends on Nanoplastics in Food: A Bibliometric Analysis of Human Health Concerns.
Article in Foods (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
0 citing papers in PubMed.
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The increasing prevalence of nanoplastics (NPs) in food and their potential implications for human health have become a growing concern in scientific and public health discourse. Using the Scopus database, this bibliometric analysis provides a comprehensive overview of global research trends on NPs in food from 2015 to 2024. Results show a significant increase in publications and citations post-2019. China is the top-ranked country in terms of the number of publications, citations, collaborations, affiliations, and funding sponsors. The most impactful documents were review articles, indicating that this research field is currently in a synthesis stage. The most productive source was
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.