Evidence map›Paper›PMID 37464019›Full record

ReviewNature reviews. Chemistry2023

The design of PINO-like hydrogen-atom-transfer catalysts.

Cheng Yang, Sahil Arora, Stephen Maldonado, Derek A Pratt, Corey R J Stephenson

Abstract readReview
PubMed Publisher
In one paragraph

Review in Nature reviews. Chemistry, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
6.3field-weighted citation impact, top 2% of its field
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

9 citing papers in PubMed, 42 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Catalyst-Controlled Regiodivergent Oxidation of Unsymmetrical Diols.Journal of the American Chemical Society · 2025
    Article
  9. 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

5 authors at 2 institutions in 2 countries.

Cheng YangWillard Henry Dow Laboratory, Department of Chemistry, University of Michigan, Ann Arbor, MI, USA.
Sahil AroraWillard Henry Dow Laboratory, Department of Chemistry, University of Michigan, Ann Arbor, MI, USA.
Stephen MaldonadoWillard Henry Dow Laboratory, Department of Chemistry, University of Michigan, Ann Arbor, MI, USA. smald@umich.edu.ORCID http://orcid.org/0000-0002-2917-4851
Derek A PrattDepartment of Chemistry and Biomolecular Sciences, University of Ottawa, Ottawa, Ontario, Canada. dpratt@uottawa.ca.ORCID http://orcid.org/0000-0002-7305-745X
Corey R J StephensonWillard Henry Dow Laboratory, Department of Chemistry, University of Michigan, Ann Arbor, MI, USA. crjsteph@umich.edu.ORCID http://orcid.org/0000-0002-2443-5514
University of Michigan · USUniversity of Ottawa · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Phthalimide-N-oxyl (PINO) is a valuable hydrogen-atom-transfer (HAT) catalyst for selective C-H functionalization. To advance and optimize PINO-catalysed HAT reactions, researchers have been focused on modifying the phthalimide core structure. Despite much effort and some notable advances, the modifications to date have centred on optimization of a single parameter of the catalyst, such as reactivity, solubility or stability. Unfortunately, the optimization with respect to one parameter is often associated with a worsening of the others. The derivation of a single catalyst structure with optimal performance across multiple parameters has therefore remained elusive. Here we present an analysis of the structure-activity relationships of PINO and its derivatives as HAT catalysts, which we hope will stimulate further development of PINO-catalysed HAT reactions and, ultimately, lead to much improved catalysts for real-world applications.

Identifiers

PMID37464019
OpenAlexW4384663248

What OpenQuestion holds

Textmetadata
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.