Producción Científica

 

 

Background: Autophagy is a cellular process in which damaged organelles or unnecessary proteins are encapsulated into double-membrane structures and transported to lysosomes for degradation. Autophagy plays a crucial role in various liver diseases, including nonalcoholic fatty liver disease. This study aims to elucidate the role of autophagy in nonalcoholic fatty liver disease through bibliometric analysis. Methods: Literature was retrieved from Web of Science CoreCollection database, and the search time was from January 01, 2004 to December 31, 2023. Data retrieval was performed using the Bibliometrix package in R software. VOSviewer and CiteSpace were utilized to visualize the research hotspots and trends related to the effect of autophagy on nonalcoholic fatty liver disease. Results: A total of 966 papers were obtained, published in 343 journals from 1385 institutions across 57 countries. The journals with the most publications were the “International Journal of Molecular Sciences”and “Scientific Reports.”China had the highest number of published papers. The most productive authors were Yen Paul M and Jung Tae Woo, while Singh R was the most frequently co-cited author. Emerging research hotspots were associated with keywords such as insulin resistance, ferroptosis, endoplasmic reticulum stress, and mitochondrial function. Conclusion: Research on autophagy in nonalcoholic fatty liver disease is still in its early stages, with a growing body of literature. This study is the first to provide a comprehensive bibliometric analysis, synthesizing research trends and advancements. It identifies current development trends, global cooperation models, foundational knowledge, research hotspots, and emerging frontiers in the field.

 

 

Background: Sonodynamic therapy (SDT) is a non-invasive cancer treatment technique stemming from photodynamic therapy (PDT) and has garnered escalated interest among researchers in recent years. Numerous aspects of cancer SDT remain contentious, and the global research trajectory within this domain remains insufficiently explored. This study seeks to delineate the comprehensive knowledge framework, developmental trends, and pivotal research focal points concerning cancer SDT. Methods: The study retrieved documents on cancer SDT from the Web of Science Core Collection (WoSCC) database spanning from 1 January 2000 to 7 December 2023. Bibliometric visualization was carried out through the utilization of CiteSpace 6.2 R6, VOSviewer 1.6.20, and an online analytical platform. Several bibliometric techniques including co-authorship, co-citation, co-occurrence, cluster, as well as burst analysis were used. Results: A total of 672 publications including 603 articles and 69 reviews were included. The annual publication count exhibited a steady increase over time, notably experiencing a surge, particularly in recent years. In terms of contributors, China has maintained its prominent position with the highest outputs and the most financial support. Chinese Academy of Sciences contributed the most articles. Materials Science was the most investigated research areas. Breast cancer emerged as the most extensively studied tumor, succeeded by sarcoma, hepatocellular carcinoma, melanoma, pancreatic cancer, glioma. According to co-cited references, “harnessing nanomaterial”, “sonodynamic precision tumor therapy” and “metal-organic framework” denote the current and emerging research focuses within the field. In tandem with the results from keywords co-occurrence and burst, we identified the following research topics including mechanism of induced cell death (ferroptosis, immunogenic cell death), nano-related research (nanoplatform, nanozymes, nanomaterials, nanosheets, metal-organic frameworks (MOFs), nanocomposites, nanoparticles, nanosonosensitizers, liposomes, nanocarriers), combination therapies (chemodynamic therapy, immunotherapy, radiotherapy, photothermal therapy), and tumor microenvironment (hypoxia, singlet oxygen, oxidative stress), that may remain the research hotspots and receive sustained attention in the near future. Conclusions: For the first time, this bibliometric analysis not only presents a comprehensive portrayal of the knowledge framework, but also delineates shifts in research focal points related to cancer SDT within the last two decades. This systematic summarization offers a comprehensive and lucid comprehension of cancer SDT, providing valuable insights for further investigations in this domain.

 

 

The increasing prevalence of carbapenem-resistant Enterobacteriaceae (CRE) poses a significant threat to public health. CRE, particularly Klebsiella pneumoniae, is associated with high morbidity and mortality owing to limited treatment options. This study identifies current research trends, major topics, and future directions in the scientific field of CRE. We systematically retrieved publications from the Web of Science database starting from 2020 to January 07, 2024. Using bibliometric tools such as VOSviewer, CiteSpace, and InCites, we analyzed publication counts, citation analysis, co-authorship, keyword co-occurrence, and thematic development to map the landscape and collaborative networks in the field. The search included keywords such as “carbapenem-resistant Enterobacteriaceae,””carbapenemase-producing Enterobacteriaceae,””carbapenemase-producing Klebsiella pneumoniae,”and “Klebsiella pneumoniae carbapenemase.”We reviewed 1946 articles. The largest contributors to the field were China, the United States, and Italy. This study highlights the significant increase in CRE-related publications, particularly in the context of hospital-acquired infections, antimicrobial resistance mechanisms, and novel therapeutic approaches. Keyword trend analysis revealed epidemiology, molecular biology, infection control, and public health implications, signaling a shift towards the broader impact of CRE in healthcare settings. This bibliometric analysis maps the current research landscape and identifies key areas for further research. Continued progress is essential to develop strategies to combat antimicrobial resistance and to improve patient outcomes.

 

 

In terrestrial ecosystems, plant leaves provide the largest biological habitat for highly diverse microbial communities, known as the phyllosphere microbiota. However, the underlying mechanisms of host-driven assembly of these ubiquitous communities remain largely elusive. Here, we conduct a large-scale and in-depth assessment of the rice phyllosphere microbiome aimed at identifying specific host-microbe links. A genome-wide association study reveals a strong association between the plant genotype and members of four bacterial orders, Pseudomonadales, Burkholderiales, Enterobacterales and Xanthomonadales. Some of the associations are specific to a distinct host genomic locus, pathway or even gene. The compound 4-hydroxycinnamic acid (4-HCA) is identified as the main driver for enrichment of bacteria belonging to Pseudomonadales. 4-HCA can be synthesized by the host plant’s OsPAL02 from the phenylpropanoid biosynthesis pathway. A knockout mutant of OsPAL02 results in reduced Pseudomonadales abundance, dysbiosis of the phyllosphere microbiota and consequently higher susceptibility of rice plants to disease. Our study provides a direct link between a specific plant metabolite and rice phyllosphere homeostasis opening possibilities for new breeding strategies.

 

 

Brassica vegetable and oilseed crops are attacked by several different flea beetle species (Chrysomelidae: Alticini). Over the past decades, most research has focused on two Phyllotreta species, Phyllotreta striolata and Phyllotreta cruciferae, which are major pests of oilseed rape in North America. More recently, and especially after the ban of neonicotinoids in the European Union, the cabbage stem flea beetle, Psylliodes chrysocephala, has become greatly important and is now considered to be the major pest of winter oilseed rape in Europe. The major challenges to flea beetle control are the prediction of population dynamics in the field, differential susceptibility to insecticides, and the lack of resistant plant cultivars and other economically viable alternative management strategies. At the same time, many fundamental aspects of flea beetle biology and ecology, which may be relevant for the development of sustainable control strategies, are not well understood. This review focuses on the interactions between flea beetles and plants and summarizes the literature on current management strategies with an emphasis on the potential for biological control in flea beetle management.

 

 

Long-distance migrations of insects contribute to ecosystem functioning but also have important economic impacts when the migrants are pests or provide ecosystem services. We combined radar monitoring, aerial sampling, and searchlight trapping, to quantify the annual pattern of nocturnal insect migration above the densely populated agricultural lands of East China. A total of ~9.3 trillion nocturnal insect migrants (15,000 t of biomass), predominantly Lepidoptera, Hemiptera, and Diptera, including many crop pests and disease vectors, fly at heights up to 1 km above this 600 km-wide region every year. Larger migrants (>10 mg) exhibited seasonal reversal of movement directions, comprising northward expansion during spring and summer, followed by southward movements during fall. This north–south transfer was not balanced, however, with southward movement in fall 0.66× that of northward movement in spring and summer. Spring and summer migrations were strongest when the wind had a northward component, while in fall, stronger movements occurred on winds that allowed movement with a southward component; heading directions of larger insects were generally close to the track direction. These findings indicate adaptations leading to movement in seasonally favorable directions. We compare our results from China with similar studies in Europe and North America and conclude that ecological patterns and behavioral adaptations are similar across the Northern Hemisphere. The predominance of pests among these nocturnal migrants has severe implications for food security and grower prosperity throughout this heavily populated region, and knowledge of their migrations is potentially valuable for forecasting pest impacts and planning timely management actions.

 

 

Branding has emerged as a multidiscipline with complication, conveyed by integrated digital technologies, AI, and rich linguistic approaches. This paper depicts the research landscape at the juncture of branding and linguistics, supported by VOSviewer, Biblioshiny, and CiteSpace in pinpointing key trends, themes, and collaboration networks. Drawing on data collected from Scopus, this study investigates the shifts in traditional branding strategies caused by technologies of machine learning, sentiment analysis, and social media platforms. It highlights the contributions made by leading authors, major publication sources, and patterns of international collaboration in influential works. Finally, thematic and co-occurrence analysis shows significant movement into data-based and computational approaches. This also points out some research gaps in the field of digital branding’s long-term effects, ethical considerations of AI-photo strategies, and multilingual branding approaches that provide a useful basis for future research and practical application innovation in the field of branding. © 2025, Econjournals.

 

 

Digital Twin (DT) technology plays a crucial role in the modernization and optimization of numerous industrial sectors. The blue economy encompasses established sectors such as marine energy systems, shipbuilding and operation, aquaculture and fisheries, and emerging areas including coastal protection and deep-sea mining. Many of these sectors are crucial for attaining Sustainable Development Goals (SDGs), especially pertaining to climate action and marine biodiversity. The integration of DT technologies within the blue economy can offer added value by enhancing operational efficiency, improving risk management, and fostering sustainable practices. This paper uses bibliometric research methods to provide a state-of-the-art overview of this research area. Insights are obtained through several bibliometric indicators, including publication trends, country-based distribution patterns of scholarly communications, and research impact through citation analysis. Keyword co-occurrence analysis is carried out to identify key research themes within the main blue economy sectors. This analysis will enable the research community to understand the key research themes, trends, major research hotspots, and influential works to provides a foundation for innovation, efficiency, and sustainability, benefiting researchers and industry actors. Additionally, it provides policy makers with evidence-based insights crucial for crafting informed policies that promote sustainable development within the blue economy.

 

 

The digital technologies are transforming the financial markets and may prove to be a game-changer in terms of attaining SDG objectives over time. As a result, UN agencies have begun to prioritize the utilization of the digital revolution to advance SDGs. There is a growing body of literature on the use of digital money to achieve sustainability objectives. As businesses commit to protecting the environment, natural systems, and society, consumer eco-awareness has elevated the importance of the issue in the field of sustainable digital finance. The rationale behind this study is to unify the fragmented literature on digital money and to present a clear conceptual framework for sustainable digital finance in order to advance sustainability goals. Specifically, the study aims to investigate the evolution of sustainable digital finance through analyzing publication and citation trends, developing an author-country-keyword framework, and exploring the significant themes and subjects emerging from the field of sustainable digital finance. Additionally, the study examines ongoing shifts in the digital finance sector and the digital sustainable revolution, which can help us harness technology for social good (Grand Challenge: social work) and move closer to achieving sustainable development goals. We employ a two-tiered analytic strategy, comprising of bibliometric analysis and an integrated literature evaluation of 168 publications from the Web of Science database. In addition to descriptive and thematic analysis, the findings provide us with seven relevant themes (financial involvement and participation, sustainable financial development, green finance, digital venture capital, fintech, financial performance, and digital strategy) and four prominent aggregate dimensions (digital financial inclusion, digital sustainable revolution, digital financial transformation, and harness technology for social good), which will be included in the conceptual framework for future research endeavors. The paper concludes with the policy implications of the findings.

 

 

As the population and urbanization continue to grow, we expect an increase in industrial demand, which will lead to higher water consumption and, consequently, the generation of substantial amounts of industrial wastewater (IWW). This presents significant environmental challenges that necessitate effective treatment solutions. This study addresses the gap in the existing literature by conducting a bibliometric analysis of 1,714 research papers on IWW treatment published in the Scopus database from 2015 to 2024. The findings indicate that over 59.7 % of these publications emerged within the past five years, with a peak of 244 papers published in 2022, reflecting an increased recognition of the necessity for effective IWW treatment approaches. The Journal of Water Process Engineering is identified as the leading journal in this domain. The analysis reveals that the majority of research is concentrated in the fields of chemistry and chemical engineering, with India and China contributing the highest outputs, at 11.79 % and 10.44 %, respectively. The University of Chinese Academy of Sciences is highlighted as a significant contributor, with seven publications and 74 citations, underscoring its prominence in IWW research. The studies indicate a focused interest in addressing various pollutants from industrial wastewater, including chemical oxygen demand (COD), dyes, and heavy metals. Furthermore, this body of research highlights a significant shift from traditional treatment methods toward integrated strategies that combine multiple techniques to enhance efficacy and sustainability in IWW treatment. Electrocoagulation, adsorption, and activated carbon are identified as the predominant treatment methods being explored for specific types of IWW, particularly textile and tannery wastewater. This research significantly contributes to the understanding of contemporary trends and advancements in IWW treatment, emphasizing the critical role of innovative methodologies in effectively addressing pollutant removal and promoting environmental sustainability.