Evidence map›Paper›PMID 39625609›Full record

ReviewApplied biochemistry and biotechnology2025

Bibliometric Analysis and Network Visualization of Nanozymes for Microbial Theranostics in the Last Decade.

Hamza Ettadili, Caner Vural

Abstract readReview
PubMed Publisher
In one paragraph

Review in Applied biochemistry and biotechnology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Hamza EttadiliFaculty of Science, Department of Biology, Molecular Biology Section, Pamukkale University, 20160, Denizli, Türkiye.ORCID http://orcid.org/0000-0003-0951-0886
Caner VuralFaculty of Science, Department of Biology, Molecular Biology Section, Pamukkale University, 20160, Denizli, Türkiye. canervural@gmail.com.ORCID http://orcid.org/0000-0003-1400-6377

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Nanozymes are a class of nanomaterials that are capable of mimicking the activities of natural enzymes. They are currently receiving considerable attention due to their advantageous properties. The objective of this study is to provide a comprehensive analysis of the advancements and trends in nanozymes for microbial theranostics research over the past decade through a detailed bibliometric approach. For this purpose, an effective search query was formulated, and relevant publications from 2013 to 2023 were collected from the Web of Science Core Collection database. Subsequently, the following softwares were employed for analysis: VOSviewer, the Bibliometrix R package, and GraphPad Prism 8.0.2. The findings revealed a statistically significant positive correlation (r = 0.993; p < 0.0001) between publications and citations, in addition to an important growth rate of scientific output of approximately 28.90%. China, India, and the USA were the most productive countries, whereas progress in low- and middle-income countries remained constrained. The Chinese Academy of Sciences was the most productive institution, and remarkably almost the top 10 productive authors were from China. Regarding keywords analysis, current research hotspots are primarily concentrated on the application of nanozymes in anti-biofilm-related research, antibacterial activity and therapy, the development of biosensors for microbial detection and control, and the advancement of wound disinfection and therapy.

Indexed as

BibliometricsNanostructuresTheranostic NanomedicineAnti-Bacterial AgentsHumansAnti-Bacterial AgentsBibliometricDiagnosticMicroorganismsNanozymesScience mappingTherapy

Identifiers

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.