Evidence map›Paper›PMID 41644526›Full record

ArticleNature communications2026

Sequential-chain coupling over hierarchical click-sites enables highly selective urea electrosynthesis.

Yuntong Sun, Meng Tian, Qian Wu, Xiaoyuan Zhang, Yin Huang, Min Zheng, Wenyao Zhang, Junwu Zhu, Zhichuan J Xu

Abstract read
In one paragraph

Article in Nature communications, 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

9 authors.

Yuntong SunSchool of Material Science and Engineering, Nanyang Technological University, Singapore, Singapore.ORCID http://orcid.org/0000-0001-8402-1770
Meng TianSchool of New Energy, Nanjing University of Science and Technology, Jiangyin, Jiangsu, China.ORCID http://orcid.org/0000-0001-7259-0730
Qian WuSchool of Material Science and Engineering, Nanyang Technological University, Singapore, Singapore.ORCID http://orcid.org/0009-0000-4342-6974
Xiaoyuan ZhangKey Laboratory for Soft Chemistry and Functional Materials, School of Chemistry and Chemical Engineering, Nanjing University of Science and Technology, Nanjing, China.
Yin HuangKey Laboratory for Soft Chemistry and Functional Materials, School of Chemistry and Chemical Engineering, Nanjing University of Science and Technology, Nanjing, China.ORCID http://orcid.org/0009-0003-4055-2758
Min ZhengSchool of Civil and Environmental Engineering, University of Technology Sydney, Ultimo, NSW, Australia.
Wenyao ZhangKey Laboratory for Soft Chemistry and Functional Materials, School of Chemistry and Chemical Engineering, Nanjing University of Science and Technology, Nanjing, China.
Junwu ZhuKey Laboratory for Soft Chemistry and Functional Materials, School of Chemistry and Chemical Engineering, Nanjing University of Science and Technology, Nanjing, China. zhujw@njust.edu.cn.ORCID http://orcid.org/0000-0002-7518-9683
Zhichuan J XuSchool of Material Science and Engineering, Nanyang Technological University, Singapore, Singapore. xuzc@ntu.edu.sg.ORCID http://orcid.org/0000-0001-7746-5920

Funding

Agency for Science, Technology and Research (A*STAR) U2305D4003National Natural Science Foundation of China (National Science Foundation of China) U24A2065
6 · The paper itself

Abstract

Electrochemical C - N coupling is an appealing approach for sustainable urea synthesis, while it is technically challenging due to the complex reaction mechanism and the spatiotemporal mismatch between C- and N- intermediates. Here, inspired by click chemistry, we design a hierarchical click-site catalyst (Se-InO

Identifiers

PMID41644526
PMCPMC12982757

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.