Evidence map›Paper›PMID 42663395›Full record

ReviewChemSusChem2026

Graphitic Carbon Nitride-Based Composites for Advanced Thermal Management: From Passive Fillers to Active Multifunctional Platforms.

Xin Liu, Hong-Rui Wang-Zhao, Yulong Tuo, Lujie Gao, Yong Bai, Bingfei Nan

Abstract readReview
In one paragraph

Review in ChemSusChem, 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

6 authors.

Xin LiuKey Laboratory of Eco-Functional Polymer Materials of the Ministry of Education, Key Laboratory of Polymer Materials of Gansu Province, College of Chemistry and Chemical Engineering, College of Engineering, Northwest Normal University, Lanzhou, China.
Hong-Rui Wang-ZhaoKey Laboratory of Eco-Functional Polymer Materials of the Ministry of Education, Key Laboratory of Polymer Materials of Gansu Province, College of Chemistry and Chemical Engineering, College of Engineering, Northwest Normal University, Lanzhou, China.
Yulong TuoKey Laboratory of Eco-Functional Polymer Materials of the Ministry of Education, Key Laboratory of Polymer Materials of Gansu Province, College of Chemistry and Chemical Engineering, College of Engineering, Northwest Normal University, Lanzhou, China.
Lujie GaoKey Laboratory of Eco-Functional Polymer Materials of the Ministry of Education, Key Laboratory of Polymer Materials of Gansu Province, College of Chemistry and Chemical Engineering, College of Engineering, Northwest Normal University, Lanzhou, China.
Yong BaiKey Laboratory of Eco-Functional Polymer Materials of the Ministry of Education, Key Laboratory of Polymer Materials of Gansu Province, College of Chemistry and Chemical Engineering, College of Engineering, Northwest Normal University, Lanzhou, China.
Bingfei NanKey Laboratory of Eco-Functional Polymer Materials of the Ministry of Education, Key Laboratory of Polymer Materials of Gansu Province, College of Chemistry and Chemical Engineering, College of Engineering, Northwest Normal University, Lanzhou, China.ORCID https://orcid.org/0000-0002-7128-6056

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Advanced thermal management increasingly requires materials capable of not only dissipating heat but also regulating, converting, and storing thermal energy. Graphitic carbon nitride (g-C

Indexed as

graphitic carbon nitrideinterface engineeringphonon transportthermal conductivitythermal management materials

Identifiers

PMID42663395
PMCPMC13523633

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.