ArticleNature communications2018
Multi-hierarchical profiling the structure-activity relationships of engineered nanomaterials at nano-bio interfaces.
Article in Nature communications, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
23 citing papers in PubMed, 95 citations in OpenAlex.
- Emerging Nano Bioinks in Bioprinting: Functional Materials, Engineering Strategies, and Biomedical Applications.Materials (Basel, Switzerland) · 2026Review
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- Colorimetric detection of amino acids enabled by functional nanomaterials: mechanisms, performance evaluation, and translational perspectives.Mikrochimica acta · 2026Review
- Dynamic QSAR modeling for predicting in vivo genotoxicity and inflammation induced by nanoparticles and advanced materials: a time-dose-property/response approach.Journal of nanobiotechnology · 2025Article
- Genetic modulation of rare earth nanoparticle biotransformation shapes biological outcomes.Nature communications · 2025Article
- Multimodal feature fusion machine learning for predicting chronic injury induced by engineered nanomaterials.Nature communications · 2025Article
- Deciphering key nano-bio interface descriptors to predict nanoparticle-induced lung fibrosis.Particle and fibre toxicology · 2025Article
- Chemical screens for particle-induced macrophage death identifies kinase inhibitors of phagocytosis as targets for toxicity.Journal of nanobiotechnology · 2024Article
- Synthetic vectors for activating the driving axis of ferroptosis.Nature communications · 2024Article
- Approaches to Nanoparticle Labeling: A Review of Fluorescent, Radiological, and Metallic Techniques.Environment & health (Washington, D.C.) · 2023Review
- The toxicity of nanoparticles and their interaction with cells: anNanoscale advances · 2023Review
- Coronas of micro/nano plastics: a key determinant in their risk assessments.Particle and fibre toxicology · 2022Review
- MetHoS: a platform for large-scale processing, storage and analysis of metabolomics data.BMC bioinformatics · 2022Article
- Particle Safety Assessment in Additive Manufacturing: From Exposure Risks to Advanced Toxicology Testing.Frontiers in toxicology · 2022Review
- Harnessing reactive oxygen/nitrogen species and inflammation: Nanodrugs for liver injury.Materials today. Bio · 2022Article
- Understanding nanoparticle endocytosis to improve targeting strategies in nanomedicine.Chemical Society reviews · 2021Review
- Evaluation of Nanoparticle Penetration in the Tumor Spheroid Using Two-Photon Microscopy.Biomedicines · 2020Article
- Multiparametric Profiling of Engineered Nanomaterials: Unmasking the Surface Coating Effect.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2020Article
- Vacancies on 2D transition metal dichalcogenides elicit ferroptotic cell death.Nature communications · 2020Article
- Quantitative Structure-Activity Relationship Models for Predicting Inflammatory Potential of Metal Oxide Nanoparticles.Environmental health perspectives · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors at 5 institutions in 3 countries.
Funding
Abstract
Increasing concerns over the possible risks of nanotechnology necessitates breakthroughs in structure-activity relationship (SAR) analyses of engineered nanomaterials (ENMs) at nano-bio interfaces. However, current nano-SARs are often based on univariate assessments and fail to provide tiered views on ENM-induced bio-effects. Here we report a multi-hierarchical nano-SAR assessment for a representative ENM, Fe
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What OpenQuestion holds
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.