ArticleACS omega2026
High-Spin Porphyrin Polyradicals.
Article in ACS omega, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
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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.
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.
Who cites it
1 citing paper in PubMed.
- Aromaticity-Induced Spin State Switching and High-Spin States in Non-Alternant Polyradicals.Journal of computational chemistry · 2026Article
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
We propose metal-free, open-shell porphyrins with at least full diradical or tetraradical characters, high-spin ground states, and highly delocalized unpaired electrons obtained via minimal modifications of porphine. Since many functional (bio)-organic compounds lack sufficient pro-aromatic parts to allow seamless aromaticity-induced polyradical design, we impose the lower-bound number of unpaired electrons by tailoring the topology of π-conjugation. The presented method, Topologically Rational Assembly of Polyradicals (TRAP), is useful for designing multifunctional magnetic compounds for organic electronics, spintronics, biosensors, single-molecule devices, etc. The TRAP method transcends classes of π-conjugated compounds, thus allowing the design of polyradicals from bioorganic conjugated systems and the tuning of their magnetic properties.
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Registered trials
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.