Evidence map›Paper›PMID 41038826›Full record

ArticleNature communications2025

Pincer-cobalt boosts divergent alkene carbonylation under tandem electro-thermo-catalysis.

Shulei Ge, Zhili Cui, Lei Peng, Xintong Wang, Kaixin Chen, Changrui Nie, Shoucheng Dong, Yang Huang, Gen Luo, Lin He and 1 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Nature communications, 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

11 authors.

Shulei Ge *State Key Laboratory of Bioinspired Interfacial Materials Science, Soochow University, Suzhou, China.
Zhili Cui *State Key Laboratory of Bioinspired Interfacial Materials Science, Soochow University, Suzhou, China.
Lei Peng *State Key Laboratory of Low Carbon Catalysis and Carbon Dioxide Utilization, Lanzhou Institute of Chemical Physics (LICP), Chinese Academy of Sciences, Lanzhou, China.
Xintong WangInstitutes of Physical Science and Information Technology, Anhui University, Hefei, China.
Kaixin ChenState Key Laboratory of Bioinspired Interfacial Materials Science, Soochow University, Suzhou, China.
Changrui NieState Key Laboratory of Bioinspired Interfacial Materials Science, Soochow University, Suzhou, China.
Shoucheng DongState Key Laboratory of Bioinspired Interfacial Materials Science, Soochow University, Suzhou, China.
Yang HuangState Key Laboratory of Low Carbon Catalysis and Carbon Dioxide Utilization, Lanzhou Institute of Chemical Physics (LICP), Chinese Academy of Sciences, Lanzhou, China.
Gen LuoInstitutes of Physical Science and Information Technology, Anhui University, Hefei, China. luogen@ahu.edu.cn.ORCID http://orcid.org/0000-0002-5297-6756
Lin HeState Key Laboratory of Low Carbon Catalysis and Carbon Dioxide Utilization, Lanzhou Institute of Chemical Physics (LICP), Chinese Academy of Sciences, Lanzhou, China. helin@licp.cas.cn.ORCID http://orcid.org/0000-0001-7437-1443
Jie LiState Key Laboratory of Bioinspired Interfacial Materials Science, Soochow University, Suzhou, China. jjackli@suda.edu.cn.ORCID http://orcid.org/0000-0002-6912-3346

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Catalytic multicomponent carbonylation reactions with high regio- and chemoselectivity represent one of the long-pursued goals in C1 chemistry. We herein disclose a practical cobalt-catalyzed divergent radical alkene carbonylative functionalization under 1 atm of CO at 23 °C. The leverage of the tridentate NNN-type pincer ligand is the key to avoid the formation of catalytically inert Co

Identifiers

PMID41038826
PMCPMC12491415

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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.