Evidence map›Paper›PMID 42000965›Full record

ArticleJournal of materials science. Materials in medicine2026

Degradable biophotonic scaffolds of mesoporous graphene for regenerating neural pathways.

Omid Akhavan, Asadollah Kalantarian, Parvaneh Naserzadeh, Mohammad Behnam Rad, Hossein Ayazi, Hassaan A Butt, Ali Khademi, Mohammad Mahdi Ahadian, Dmitry V Krasnikov, Eric Plaza and 1 more

Abstract read
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In one paragraph

Article in Journal of materials science. Materials in medicine, 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.

Omid AkhavanDepartment of Physics, Sharif University of Technology, Tehran, Iran. oakhavan@sharif.edu.ORCID http://orcid.org/0000-0001-8033-5393
Asadollah KalantarianInstitute for Nanoscience and Nanotechnology, Sharif University of Technology, Tehran, Iran.
Parvaneh NaserzadehEndocrine Research Center, Institute of Endocrinology and Metabolism, Iran University of Medical Sciences, Tehran, Iran.
Mohammad Behnam RadDepartment of Physics, Sharif University of Technology, Tehran, Iran.
Hossein AyaziDepartment of Physics, Sharif University of Technology, Tehran, Iran.
Hassaan A ButtSkolkovo Institute of Science and Technology, Moscow, Russia.
Ali KhademiDepartment of Physics, Sharif University of Technology, Tehran, Iran.
Mohammad Mahdi AhadianInstitute for Nanoscience and Nanotechnology, Sharif University of Technology, Tehran, Iran.
Dmitry V KrasnikovSkolkovo Institute of Science and Technology, Moscow, Russia.
Eric PlazaCenter for Materials Engineering and Nanotechnology, Venezuelan Institute for Scientific Research (IVIC), Miranda, Venezuela.
Albert G NasibulinSkolkovo Institute of Science and Technology, Moscow, Russia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Mesoporous graphene frameworks (MGFs) were synthesized as p-type semiconductors with a nonzero band gap of ~1 eV and used as 3D photo-sensitive scaffolds for effective differentiation of human neural stem cells (hNSCs) into 3D-neural networks, under near-infrared (NIR) laser stimulation. The fabrication process involved the chemical vapor deposition (CVD) of 3D graphene frameworks (GFs) on Ni foams, followed by the removal of the Ni templates. Subsequently, TiO

Indexed as

GraphiteNerve RegenerationTissue ScaffoldsBiocompatible MaterialsCatalysisCell DifferentiationCell ProliferationHumansMaterials TestingNeural Stem CellsNeuronsPorosityTissue EngineeringTitaniumBiocompatible MaterialsGraphiteTitaniumtitanium dioxide

Identifiers

PMID42000965
PMCPMC13234022

What OpenQuestion holds

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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.