ReviewACS omega2024
Insights into Application Research of the Density Functional Theory in Iron Sulfur Compounds: A Bibliometric Mapping Analysis.
Review in ACS omega, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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.
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0 citing papers in PubMed.
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Authors and funding
6 authors.
Funding
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Abstract
To more accurately grasp the current status and trends in the density functional theory (DFT) study of iron sulfur compounds, this paper presents a bibliometric analysis of 821 documents from 2000 to 2023. The literature source is the Web of Science (WOS) core data set. The results show that China is the country with the highest publication volume (247, 30.09%). The highest number of total citations is for the USA (8360). The field primarily involves the three disciplinary categories of Chemistry Physical (322, 39.22%), Chemistry Multidisciplinary (194, 23.62%), and Materials Science Multidisciplinary (177, 21.55%). There is an increasing trend in publications and total citations per year. Quantum chemical analysis, chemical structure analysis of crystal surfaces of iron sulfur compounds, and the effect mechanism of iron-sulfur clusters on enzyme-catalyzed reactions are the knowledge base in the field. The current research hotspots are mainly in four areas: DFT calculations of iron sulfur compounds properties, the redox properties of iron-sulfur clusters, the calculation of iron sulfur compounds electronic structures, and the research on the surface adsorption mechanism of iron sulfur compounds. The number of occurrences of the keyword FeS
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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.