Evidence map›Paper›PMID 40657188›Full record

ReviewSmall science2025

Recent Advances in Transition Metal-Based Metal-Organic Frameworks for Hydrogen Production.

Ting Yang, Hua Zhang, Bo Pang, Jonathan W C Wong

Abstract readReview
In one paragraph

Review in Small science, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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

4 authors.

Ting YangResearch Centre for Eco-Environmental Engineering, School of Environment and Civil Engineering Dongguan University of Technology Dongguan 523830 China.ORCID https://orcid.org/0000-0001-5178-4165
Hua ZhangSchool of Chemical Engineering Jiangxi Normal University Nanchang 330022 China.ORCID https://orcid.org/0000-0001-7413-3699
Bo PangDepartment of Food Science and Technology National University of Singapore Singapore 117542 Singapore.ORCID https://orcid.org/0000-0001-5878-896X
Jonathan W C WongResearch Centre for Eco-Environmental Engineering, School of Environment and Civil Engineering Dongguan University of Technology Dongguan 523830 China.ORCID https://orcid.org/0000-0003-0159-259X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The escalating global energy demand and the imperative to mitigate carbon emissions have intensified the pursuit for sustainable energy solutions, with hydrogen emerging as a pivotal clean energy carrier. Transition metal-based metal-organic frameworks (MOFs) have garnered significant attention for their potential in efficient hydrogen production due to their high surface area, tunable porosity, and versatile catalytic properties. Despite notable advancements in MOF synthesis, critical challenges related to stability, electrical conductivity, and scalability continue to hinder their widespread application. This review provides a comprehensive analysis of recent progress in the design and synthesis of transition metal-based MOFs, emphasizing their role in electrocatalytic and photocatalytic hydrogen production. Key synthetic strategies and their influence on catalytic performance are systematically discussed, alongside the identification of existing limitations and knowledge gaps. By highlighting these critical areas and proposing pathways for future research, this review aims to accelerate the practical integration of MOFs into the emerging hydrogen economy.

Indexed as

electrocatalysishydrogen productionphotocatalysisrenewable energiestransition metal‐based metal‐organic frameworks

Identifiers

PMID40657188
PMCPMC12244520

What OpenQuestion holds

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LicenceCC BY
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.