Article in NMR in biomedicine, 2025. 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
14 authors.
Fatima AnumSection Biomedical Imaging, Molecular Imaging North Competence Center, Department of Radiology and Neuroradiology, University Hospital Schleswig-Holstein, Kiel University, Kiel, Germany.ORCID https://orcid.org/0009-0007-2517-8867
Charbel AssafSection Biomedical Imaging, Molecular Imaging North Competence Center, Department of Radiology and Neuroradiology, University Hospital Schleswig-Holstein, Kiel University, Kiel, Germany.ORCID https://orcid.org/0000-0003-1968-2112
Farhad Haj MohamadSection Biomedical Imaging, Molecular Imaging North Competence Center, Department of Radiology and Neuroradiology, University Hospital Schleswig-Holstein, Kiel University, Kiel, Germany.ORCID https://orcid.org/0009-0005-2238-5639
Maria AnikeevaSection Biomedical Imaging, Molecular Imaging North Competence Center, Department of Radiology and Neuroradiology, University Hospital Schleswig-Holstein, Kiel University, Kiel, Germany.ORCID https://orcid.org/0000-0002-2443-9910
Lina WelzInstitute of Clinical Molecular Biology, Department of Internal Medicine I, University Medical Center Schleswig-Holstein, Kiel University, Kiel, Germany.ORCID https://orcid.org/0009-0008-3779-623X
Jan-Bernd HövenerSection Biomedical Imaging, Molecular Imaging North Competence Center, Department of Radiology and Neuroradiology, University Hospital Schleswig-Holstein, Kiel University, Kiel, Germany.ORCID https://orcid.org/0000-0001-7255-7252
Andrey N PravdivtsevSection Biomedical Imaging, Molecular Imaging North Competence Center, Department of Radiology and Neuroradiology, University Hospital Schleswig-Holstein, Kiel University, Kiel, Germany.ORCID https://orcid.org/0000-0002-8763-617X
Funding
BMBF Hyperquant Consortium 03WIR6208A9DFG 469366436DFG 527469039DFG 555951950DFG BE-2253/8DFG EXC2167DFG FOR5042DFG HO-4602/3DFG TRR2879European Regional Development Fund (ERDF)European Union's Horizon 2020 946044German Federal Ministry of Education and Research (BMBF) 01ZX1915CMedical Faculty of Kiel UniversityStudienstiftung des deutschen VolkesZukunftsprogramm Wirtschaft of Schleswig-Holstein 122-09-053
6 · The paper itself
Abstract
Metabolomics provides snapshots of states of metabolites under specific conditions, with nuclear magnetic resonance (NMR) being one of the few noninvasive techniques. However, when applied to intact cells (e.g., yeast or mammalian cells) or tissues, traditional
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.
Probing Intracellular Yeast Metabolism With Deuterium Magnetic Resonance Spectroscopy. · full record | OpenQuestion