Article in Molecules (Basel, Switzerland), 2026. 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.
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.
Fernando CarrascoFacultad de Ingeniería, Universidad de Lima, Av. Javier Prado Este 4600, Lima 15023, Peru.ORCID 0000-0002-7746-8627
Wilfredo HernándezFacultad de Ingeniería, Universidad de Lima, Av. Javier Prado Este 4600, Lima 15023, Peru.
Nino CastroDepartamento Académico de Química Orgánica, Escuela de Química, Facultad de Química e Ingeniería Química, Universidad Nacional Mayor de San Marcos, Calle German Amezaga 375, Lima 15081, Peru.
Nelly SivipaucarFacultad de Ciencias Naturales y Matemática, Universidad Nacional Federico Villarreal, Jr. Río Chepen s/n, El Agustino, Lima 15007, Peru.
Bruno BongiornoFacultad de Ciencias Naturales y Matemática, Universidad Nacional Federico Villarreal, Jr. Río Chepen s/n, El Agustino, Lima 15007, Peru.ORCID 0009-0005-7449-9734
Oscar ChupayoFacultad de Ciencias Naturales y Matemática, Universidad Nacional Federico Villarreal, Jr. Río Chepen s/n, El Agustino, Lima 15007, Peru.
Cesar RaposoMass Spectrometry Service, NUCLEUS, University of Salamanca, 37008 Salamanca, Spain.
Lúcia A SilvaFaculdade de Ciencias, Departamento de Quíımica and Fiber Materials and Environmental Technologies (FibEnTech-UBI), Universidade da Beira Interior, R. Marquês de D'Ávila e Bolama, 6201-001 Covilhã, Portugal.ORCID 0000-0002-7386-0330
Jesus M RodillaFaculdade de Ciencias, Departamento de Quíımica and Fiber Materials and Environmental Technologies (FibEnTech-UBI), Universidade da Beira Interior, R. Marquês de D'Ávila e Bolama, 6201-001 Covilhã, Portugal.ORCID 0000-0001-6114-3572
Eduardo CarrascoFacultad de Ciencias Física, Universidad Nacional Mayor de San Marcos, Lima 15081, Peru.
Juan Z DávalosInstituto de Química-Física "Blas Cabrera", CSIC, Serrano 119, 28006 Madrid, Spain.ORCID 0000-0002-5835-6371
Funding
Secretaría Nacional de Ciencia, Tecnología e Innovación FID2024-072 and SNI-EGDL
6 · The paper itself
Abstract
In this study, sixteen secondary metabolites, including two chromones, four dibenzofurans, three lipids, three depsides, two aromatic compounds, a quinone, and a terpene, were detected in the methanol:acetone (1:1
Indexed as
LichensSecondary MetabolismChromatography, High Pressure LiquidMolecular StructureSpectrometry, Mass, Electrospray IonizationTandem Mass SpectrometryHypotrachyna specieslichensecondary metabolite profilingUHPLC-MS-MS
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.
Identification of Secondary Metabolites from the Lichen · full record | OpenQuestion