Evidence map›Paper›PMID 42311004›Full record

ReviewChemistryOpen2026

Magnetic Nickel-Containing Heterogeneous Catalysts for the Heck Reaction: Catalyst Design, Performance, and Sustainability.

Forouzan Karimi, Hamideh Sarreshtehdar Aslaheh, Ahmad Poursattar Marjani, Kurosh Rad-Moghadam

Abstract readReview
In one paragraph

Review in ChemistryOpen, 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

4 authors.

Forouzan KarimiDepartment of Organic Chemistry, Faculty of Chemistry, University of Guilan, Rasht, Iran.ORCID https://orcid.org/0009-0003-4722-4044
Hamideh Sarreshtehdar AslahehDepartment of Organic Chemistry, Faculty of Chemistry, Urmia University, Urmia, Iran.ORCID https://orcid.org/0000-0002-8316-1648
Ahmad Poursattar MarjaniDepartment of Organic Chemistry, Faculty of Chemistry, Urmia University, Urmia, Iran.ORCID https://orcid.org/0000-0002-5899-4285
Kurosh Rad-MoghadamDepartment of Organic Chemistry, Faculty of Chemistry, University of Guilan, Rasht, Iran.ORCID https://orcid.org/0000-0003-0519-7976

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Heck reaction is one of the key processes for forming carbon-carbon bonds in modern organic synthesis and is typically catalyzed by palladium complexes. In recent years, considerable attention has been devoted to the use of nickel as a cocatalyst/modifier alongside palladium as well as the active component in hybrid systems; in particular, magnetic nickel-based nanocatalysts, owing to their high specific surface area, good tolerance toward various functional groups, and easy recovery using a magnetic field, are considered efficient and recyclable options for palladium-catalyzed Heck reactions. This review summarizes recent advances in the design, synthesis, and application of nickel-based magnetic nanocatalysts, with a focus on systems combined with palladium (including nanocomposites, Ni-Pd bimetallic structures, and supported hybrid nanostructures) in the Heck reaction. In many cases, the highlighted catalysts exhibit high yields and desirable recyclability under mild conditions (including aqueous or solvent-free media). Strategies such as surface functionalization, the use of synergistic supports like graphene oxide, silica, and carbon nanotubes, and the engineering of bimetallic/multimetallic systems (to enhance performance alongside palladium) are also discussed. This review covers studies from 2013 to 2025.

Indexed as

Heck reactionNi‐based catalyststransition metal catalysis

Identifiers

PMID42311004
PMCPMC13276274

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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.