Evidence map›Paper›PMID 38066350›Full record

ReviewMolecular diversity2024

Synthesis of pyrano-pyrimidines: recent advances in catalysis by magnetically recoverable nanocatalysts.

Ali Noory Fajer, Hussein Ali Al-Bahrani, Abud Amir Hussan Kadhum, Mosstafa Kazemi

Abstract readReview
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In one paragraph

Review in Molecular diversity, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
  4. 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.

Ali Noory FajerDepartment Chemistry, College of Education, University of Al-Qadisiyah, Al Diwaniyah, Iraq. ali.fajer@eq.edu.iq.
Hussein Ali Al-BahraniDepartment of Chemistry Collage of Education for Pure Science, University of Karbala, Karbala, Iraq.
Abud Amir Hussan KadhumDepartment Chemistry, University of Al-Ameed, Karbala, Iraq.
Mosstafa KazemiYoung Researchers and Elite Club, Tehran Branch, Islamic Azad University, Tehran, Iran. mosstafakazemi@gmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The widespread use of catalysts in chemistry in the current century, especially in multicomponent reactions, has led researchers to design catalysts with high catalytic power and which can be recycled. In recent years, most scientists and researchers of chemical science have become interested in magnetic nanocatalysts and used them to perform chemical reactions. Due to the magnetic property of this nanocatalyst, it can be separated and collected from the reaction mixture by a magnet after the reaction is complete and reused. Pyrano-pyrimidines are a group of heterocyclic compounds and important pharmaceutical compounds. Pyrano-pyrimidine derivatives are of great interest due to the wide role they play in biological activities. During the past years, various methods for the synthesis of pyrano-pyrimidines based on the use of magnetic nanocatalysts have been reported. In this review article, for the first time, we would like to focus on the reported non-magnetic materials as magnetically recoverable nanocatalysts for the synthesis of pyrano-pyrimidine derivatives. Considering the wonderful features of magnetic nanocatalysts such as simple separation and preparation, high catalytic activity and stability, we expect more articles on the synthesis of heterocycles using this type of catalyst to be published in the near future.

Indexed as

PyransPyrimidinesCatalysisChemistry Techniques, SyntheticPyransPyrimidinesMagnetic nanocatalystsMagnetic separationMedicinal chemistryPyrano-pyrimidinesRecoverable catalysts

Identifiers

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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.