Evidence map›Paper›PMID 42794385›Full record

ArticleGels (Basel, Switzerland)2026

Cooperative Repair for Laser-Induced Graphene via Modified Poly-phenylamine and Fe

Nan Jiang, Guomin Ding, Bowen Yang, Shuai Liu, Luyao Wang, Zihan Li, Xu Han, Qilin Mei

Abstract read
In one paragraph

Article in Gels (Basel, Switzerland), 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

8 authors.

Nan JiangSchool of Materials Science and Engineering, Wuhan University of Technology, No.122, Luoyu Road, Wuhan 430070, China.
Guomin DingSchool of Materials Science and Engineering, Wuhan University of Technology, No.122, Luoyu Road, Wuhan 430070, China.
Bowen YangSchool of Materials Science and Engineering, Wuhan University of Technology, No.122, Luoyu Road, Wuhan 430070, China.
Shuai LiuSchool of Materials Science and Engineering, Wuhan University of Technology, No.122, Luoyu Road, Wuhan 430070, China.
Luyao WangSchool of Materials Science and Engineering, Wuhan University of Technology, No.122, Luoyu Road, Wuhan 430070, China.
Zihan LiSchool of Materials Science and Engineering, Wuhan University of Technology, No.122, Luoyu Road, Wuhan 430070, China.
Xu HanSchool of Materials Science and Engineering, Wuhan University of Technology, No.122, Luoyu Road, Wuhan 430070, China.
Qilin MeiSchool of Materials Science and Engineering, Wuhan University of Technology, No.122, Luoyu Road, Wuhan 430070, China.ORCID 0000-0001-7343-9637

Funding

open-end fund of the Tongxiang Frontier New Materials Research InstituteScience and Technology "Breakthrough" Project of Inner Mongolia Autonomous Region 2025KJTW0008the Fundamental Research Funds for the Central Univer-sities
6 · The paper itself

Abstract

Laser-induced graphene (LIG) has great potential for multiple applications because of its large specific surface area, facile fabrication process, and tunable properties. However, abundant lattice defects severely degrade its conductivity. Herein, from an innovative perspective of precursor design, the poly-phenylamines (P-PAs) with improved solubility and strong light absorption were synthesized, which act as an intercalated polymer for graphene oxide (GO) nanosheets. On this basis, the composite precursors show remarkably enhanced photothermal conversion capability and a compact stacked structure. These bring a 60% reduction in I

Indexed as

composite precursorcooperative effectlaser-induced graphenepoly-phenylaminethermal-conductive gel

Identifiers

PMID42794385
PMCPMC13606344

What OpenQuestion holds

Textmetadata
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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.