Evidence map›Paper›PMID 42621867›Full record

ArticleRSC advances2026

Tailoring the structural, optical and paramagnetic properties of GO-PVA-AgNW nanocomposites by gamma irradiation.

Mahammad Baghir Baghirov, Mustafa Muradov, Goncha Eyvazova, Zeynab Addayeva, Marjetka Conradi, Matjaz Malok, Hokman Mahmudov, Gasimov Eldar Kochari, Rzayev Fuad Huseynali, Faik Mammadov and 1 more

Abstract read
In one paragraph

Article in RSC advances, 2026. 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

11 authors.

Mahammad Baghir BaghirovNano Research Laboratory, Baku State University 23 Academik Zahid Khalilov Street Baku AZ1148 Azerbaijan bmbaghir@gmail.com.ORCID https://orcid.org/0000-0002-0300-1856
Mustafa MuradovNano Research Laboratory, Baku State University 23 Academik Zahid Khalilov Street Baku AZ1148 Azerbaijan bmbaghir@gmail.com.
Goncha EyvazovaNano Research Laboratory, Baku State University 23 Academik Zahid Khalilov Street Baku AZ1148 Azerbaijan bmbaghir@gmail.com.
Zeynab AddayevaNano Research Laboratory, Baku State University 23 Academik Zahid Khalilov Street Baku AZ1148 Azerbaijan bmbaghir@gmail.com.ORCID https://orcid.org/0009-0001-1993-3033
Marjetka ConradiInstitute of Metals and Technology Lepi pot 11 1000 Ljubljana Slovenia.
Matjaz MalokJozef Stefan Institute Jamova cesta 39 Ljubljana 1000 Slovenia.ORCID https://orcid.org/0000-0003-4879-4252
Hokman MahmudovInstitute of Physics, Ministry of Science and Education Republic of Azerbaijan Baku Azerbaijan.
Gasimov Eldar KochariDepartment of Cytology, Embryology and Histology, Azerbaijan Medical University Samad Vurghun, Nasimi AZ1022 Baku Azerbaijan.ORCID https://orcid.org/0000-0002-5104-4260
Rzayev Fuad HuseynaliDepartment of Electron Microscopy, Azerbaijan Medical University Samad Vurghun, Nasimi AZ1022 Baku Azerbaijan.
Faik MammadovInstitute of Catalysis and Inorganic Chemistry AZ1143 Baku Azerbaijan.
Rasim AslanovInstitute of Molecular Biology, Azerbaijan Ministry of Science and Education Baku Azerbaijan.ORCID https://orcid.org/0000-0002-6853-715X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Graphene oxide (GO)-polyvinyl alcohol (PVA)-silver nanowire (AgNW) ternary nanocomposites are of increasing interest as radiation-resistant materials, yet their structural and physicochemical response under high absorbed gamma doses remains largely unexplored. In this study, GO-PVA-AgNW nanocomposite films were exposed to high-dose γ-irradiation (250, 500, and 1500 kGy) from a

Identifiers

PMID42621867
PMCPMC13487536

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Registered trials

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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.