Top In Terms Research Articles

Research on Collaborative Supervision of Internal Audit and Discipline Inspection Compliance in State Owned Enterprises

China's state-owned assets rank among the top in terms of scale and proportion in the world. Specifically, this article takes Company A, a provincial-level subsidiary of Z state-owned financial enterprise, as the research object. Firstly, it elaborates on the research background and main research content of the supervision mechanism of state-owned financial enterprises. Based on the importance of collaborative supervision explained in the research background and significance, the research purpose is determined. By analyzing the current situation of disciplinary and compliance supervision and internal audit supervision in Z Group and its subsidiaries, the advantages and problems of various types of supervision are proposed. Then, by analyzing and designing the starting point, mechanism ideas, and overall framework of the collaborative supervision mechanism between internal audit and disciplinary and compliance, the establishment of a joint meeting mechanism for supervision work is introduced.

Analysis of Research and Development Performance Indicators of the European Union and Serbia

The aim of this article is to review the position of certain countries of the European Union (EU) and Serbia with regard to the development of research and development activities in the function of strengthening in the future by applying relevant measures. The research of the treated problem in this paper is based on the application of the modern multi-criteria decision-making method known as the LMAW-DNMA method. Research on the performance indicators of research and development of the countries of the European Union and Serbia using the LMAW-DNMA method showed that the top five countries of the European Union in terms of research and development are in order: Germany, France, Italy, the Netherlands and Poland. Serbia is positioned in twenty-third place (Croatia twenty-seventh place, Slovenia twenty-fourth place). Therefore, the leading countries of the European Union are at the top in terms of research and development.

Euler–Poisson equations of a dancing spinning top, integrability and examples of analytical solutions

Equations of a rotating body with one point constrained to move freely on a plane (dancing top) are deduced from the Lagrangian variational problem. They formally look like the Euler–Poisson equations of a heavy body with fixed point, immersed in a fictitious gravity field. Using this analogy, we have found examples of analytical solutions for the case of a heavy symmetrical dancing top. They describe the motions with center of mass keeping its height fixed above the supporting plane. General solution to equations of a dancing top in terms of exponential of Hamiltonian field is given. An extra constraint, that take into account the reaction of supporting plane, leads to modification of the canonical Poisson structure and therefore the integrability according to Liouville is under the question.

Challenges of hesitancy in human papillomavirus vaccination: Bibliometric and visual analysis.

Human papillomavirus (HPV) vaccine has immense research value in the prevention of related tumours. A huge body of work has been published in this field, which may pose difficulties for researchers aiming to investigate all the available information. However, bibliometrics can provide deep insights into this research field. We aimed to study HPV vaccine development, visually analyse the development status, trends, research hotspots, and frontiers of this field, and provide a reference for research on it. Articles were acquired from the Web of Science Core Collection. VOS viewer and CiteSpace software were used to analyse publication growth, country/region, institution, journal distribution, author, reference, and keywords, and collected burst keyword words to display research hotspots. A total of 4831 references were obtained, and the annual number of publications increased fluctuating over the past decade. The United States of America ranked at the top in terms of percentage of articles. The institution with the highest number of research publications in this field was the Centers for Disease Control and Prevention. The most productive and frequently cited authors was Lauri E Markowitz. The journal with the most publications in this field was Vaccine, and the most influential journal was Paediatrics. The most frequently cited reference was 'A 9-Valent HPV Vaccine against Infection and Intraepithelial Neoplasia in Women'. Burst detection analysis of top keywords showed that 'national immunisation survey', 'social media', and 'hesitancy' are the current research frontiers in this field. This study provides useful information for acquiring knowledge on HPV vaccine. Research on solving the hesitation of HPV vaccination will become an academic trend in this field, which can offer guidance for more extensive and in-depth studies in the future.

An Enhanced Storm Warning and Nowcasting Model in Pre-Convection Environments

A storm tracking and nowcasting model was developed for the contiguous US (CONUS) by combining observations from the advanced baseline imager (ABI) and numerical weather prediction (NWP) short-range forecast data, along with the precipitation rate from CMORPH (the Climate Prediction Center morphing technique). A random forest based model was adopted by using the maximum precipitation rate as the benchmark for convection intensity, with the location and time of storms optimized by using optical flow (OF) and continuous tracking. Comparative evaluations showed that the optimized models had higher accuracy for severe storms with areas equal to or larger than 5000 km2 over smaller samples, and loweraccuracy for cases smaller than 1000 km2, while models with sample-balancing applied showed higher possibilities of detection (PODs). A typical convective event from August 2019 was presented to illustrate the application of the nowcasting model on local severe storm (LSS) identification and warnings in the pre-convection stage; the model successfully provided warnings with a lead time of 1–2 h before heavy rainfall. Importance score analysis showed that the overall impact from ABI observations was much higher than that from NWP, with the brightness temperature difference between 6.2 and 10.3 microns ranking at the top in terms of feature importance.

Quantitative Review of Anesthesia in Liver Tumor Ablation: A Bibliometric Study from 1999 to 2022.

BACKGROUND Ablation has been developed as a radical surgical procedure for liver tumors. Local anesthesia in combination with general anesthesia or intravenous sedation is needed in ablative procedures. Although many studies have been published, a related bibliometric study is lacking. The present bibliometric analysis aimed to further understand the current situation of anesthesia for liver tumor ablation and discover candidate novel research directions. MATERIAL AND METHODS Web of Science Core Collection (WoSCC) was searched to identify studies associated with anesthesia for liver tumor ablation. Also, countries, journals, authors, and institutes contribution together with co-occurrence relations were analyzed by R, VOSviewer, and CiteSpace software; meanwhile, relevant research hotspots together with potential future trends were identified. RESULTS This work obtained 183 English-language documents during 1999-2022, and the annual growth rate was 8.83%. Most studies were conducted in the United States (24.04%, 44/183). The Oslo Univ Hosp contributed the most publications (n=11, 6.01%). Livraghi T (n=6), De Baere T (n=5), and Goldberg SN (n=4) ranked top in terms of cited authors and top authors. Keywords from that co-cited network were aggregated and identified, which revealed a shift in the liver tumor ablation anesthesia field. Initially, hotspots were predominantly "alcohol injection", "radiofrequency tissue ablation", and "metastases", but hotspots shifted to "efficacy", "ablation", "pain", "microwave ablation", "management", "analgesia", "safety", "irreversible electroporation", and "anesthesia" recently. CONCLUSIONS Anesthesia has received increased attention as liver tumor ablation advances. Bibliometric study findings provide insight into the current state and trends of anesthesia in liver tumor ablation research.

Impacts of water pollutants on chondrichthyans species from South America: A review

This is the first research that extensively compiles all the available scientific literature on the presence of trace metals (TMs), persistent organic pollutants (POPs), and plastic debris in Chondrichthyan species inhabiting South America (including the Atlantic and Pacific Oceans), providing an insight into Chondrichthyans as bioindicators of pollutants as well as the impacts of pollutant exposure on the organisms. Seventy-three studies were published in South America between 1986 and 2022. While 68.5% focused on TMs, 17.8% on POPs, and 9.6% on plastic debris. Brazil and Argentina were at the top in terms of the number of publications; however, there is an absence of information regarding pollutants for Chondrichthyans in Venezuela, Guyana, and French Guiana. Of the 65 Chondrichthyan species reported, 98.5% belong to the Elasmobranch group, and 1.5% from the Holocephalans. Most studies focused on Chondrichthyans of economic importance, and the most analyzed organs were the muscle and liver. There is a lack of studies on Chondrichthyan species with low economic value and critical conservation status. Due to their ecological relevance, distribution, accessibility, high trophic position, capacity to accumulate high levels of pollutants, and the number of studies published, Prionace glauca and Mustelus schmitii seem to be adequate to serve as bioindicators. For TMs, POPs, and plastic debris there is a lack of studies focusing on the pollutant levels as well as their effect on Chondrichthyans. Future research reporting TMs, POPs, and plastic debris occurrences in Chondrichthyan species are required in order to increase the scarce databases about pollutants in this group, with a clear need for further research on the responses of chondrichthyans to pollutants, as well as making inferences about the potential risks to the ecosystems and human health.

A Bibliometric Analysis of Research Output from Indian Institutes of Management

Indian Institutes of Management (IIMs) are among the most prestigious business schools in India, mainly offering postgraduate, doctoral and executive education programmes in the fields of Management and Business Education. They also contribute significantly to research in the area. This article attempts to analyse the bibliometric patterns in research output of IIMs. The data for research publications indexed in Scopus during 2010-19 is downloaded and analysed to identify important patterns and trends of research output, citations, international collaboration, open access, gender distribution and social media visibility. The results are also compared with three top internationally renowned business schools (Harvard Business School, MIT Sloan School of Management and NUS Business School). Results indicate that the older IIMs like Ahmedabad and Bangalore are placed at the top in terms of publication counts and citations. Newer IIMs like Rohtak and Raipur are found to be doing well in publications as compared to other IIMs of their generation. IIM Udaipur has more than 40 % of its research output internationally collaborated and also highest citations per paper value amongst all the IIMs. However, when the IIMs are compared with three well-known international schools (two of which have mentored the initial two IIMs), there appears a large gap in several indicators, such as h-index. The paper, thus, indicates that IIMs need to improve their research output and quality to be at par with the top business schools of the world. Research themes like ‘sustainability’, ‘emerging markets’ and ‘supply chain management’ are the most prominent thematic areas observed in the research output from IIMs, which indicates that IIMs are working on research topics of contemporary relevance.

Termografia infravermelha na detecção de mastite clínica e subclínica em bovinos de leite: comparação entre as raças Girolando e Jersey

Abstract Mastitis is one of the most prevalent diseases in dairy cattle globally, ranking at the top in terms of prevalence and incidence. It impacts milk production and quality, subsequently decreasing economic returns and farm sustainability. Early diagnosis and treatment of mastitis are crucial to mitigate its detrimental effects on both animals and the dairy industry. Infrared thermography (IRT) in animals serves as a clinically relevant method to detect pathophysiological changes, marked by thermal variations caused by inflammation. This study aimed to evaluate the potential of IRT as a diagnostic tool for clinical and subclinical mastitis in Girolando and Jersey cows. We examined 78 udder quarters from Girolando cows and 104 from Jersey cows, all from farms in the Adamantina region. Differences in IRT image intensities were compared with anterior and posterior udder temperatures at a single central point or area, correlating with results from Tamis and CMT tests. All analyses were conducted in R software, with a significance level set at 5%. When evaluating thermographic images, the effect size was significant for the breed and CMT test, but not for the Tamis test. In conclusion, IRT exhibits potential in screening for subclinical mastitis in the evaluated breeds, demonstrating a predictive diagnostic capability similar to the CMT, albeit with a temperature difference between them. Their measurements, whether at a point or an area of the mammary gland, were found to be equivalent.

A State-of-the-Art Survey on Analytical Hierarchy Process Applications in Sustainable Development

Nowadays, utility of the multi-criteria decision making (MCDM) technique in tackling real-world complex problems has risen tremendously. Even the United Nations is focusing on decision-making in order to accomplish Agenda 2030, as stated in its paragraph 48. The desire to promote sustainable development (SD) necessitates complex decision models, which could be achieved through the use of an efficient MCDM approach. Analytical Hierarchy Process (AHP) is one of the most efficient MCDM techniques that is incorporated in this study. The purpose of this work is to provide a contrasting of AHP's application that emerged between 2011 and 2022, rather than to reflect on its methodological improvements. Its application encompasses a wide range of disciplines including Renewable Energy, Sustainable manufacturing, Natural Hazards, Environmental Pollution, Landfill waste management and many others which lies explicitly or implicitly under the theme of SD. Previously, many reviews have been conducted that concentrated on a single decision topic; moreover, this review explore the comprehensive viewpoint of decision problems. As per statistical results, Middle Eastern countries such as Iran placed top in terms of applying AHP application in different sectors. GIS and fuzzy logic are the most often used approaches to incorporate AHP across all disciplines. Notably, the findings indicate that the most decision problem have selection and assessment as a major concern whereas, environmental, economical, LULC & DFR are more frequently used criteria.

Mapping the structure of depression biomarker research: A bibliometric analysis.

BackgroundDepression is a common mental disorder and the diagnosis is still based on the descriptions of symptoms. Biomarkers can reveal disease characteristics for diagnosis, prognosis, and treatment. In recent years, many biomarkers relevant to the mechanisms of depression have been identified. This study uses bibliometric methods and visualization tools to analyse the literature on depression biomarkers and its hot topics, and research frontiers to provide references for future research.MethodsScientific publications related to depression biomarkers published between 2009 and 2022 were obtained from the Web of Science database. The BICOMB software was used to extract high-frequency keywords and to construct binary word-document and co-word matrices. gCLUTO was used for bicluster and visual analyses of high-frequency keywords. Further graphical visualizations were generated using R, CiteSpace and VOSviewer software.ResultsA total of 14,403 articles related to depression biomarkers were identified. The United States (34.81%) and China (15.68%), which together account for more than half of all publications, can be considered the research base for the field. Among institutions, the University of California, University of London, and Harvard University are among the top in terms of publication number. Three authors (Maes M, Penninx B.W.J.H., and Berk M) emerged as eminent researchers in the field. Finally, eight research hotspots for depression biomarkers were identified using reference co-citation analysis.ConclusionThis study used bibliometric methods to characterize the body of literature and subject knowledge in the field of depression biomarker research. Among the core biomarkers of depression, functional magnetic resonance imaging (fMRI), cytokines, and oxidative stress are relatively well established; however, research on machine learning, metabolomics, and microRNAs holds potential for future development. We found “microRNAs” and “gut microbiota” to be the most recent burst terms in the study of depression biomarkers and the likely frontiers of future research.

Scan-Find-Scan-Model: Discrete Site-Targeted Suppressor Design Strategy for Amyloid-β.

Alzheimer's disease is undoubtedly the most well-studied neurodegenerative disease. Consequently, the amyloid-β (Aβ) protein ranks at the top in terms of getting attention from the scientific community for structural property-based characterization. Even after decades of extensive research, there is existing volatility in terms of understanding and hence the effective tackling procedures against the disease that arises due to the lack of knowledge of both specific target- and site-specific drugs. Here, we develop a multidimensional approach based on the characterization of the common static-dynamic-thermodynamic trait of the monomeric protein, which efficiently identifies a small target sequence that contains an inherent tendency to misfold and consequently aggregate. The robustness of the identification of the target sequence comes with an abundance of a priori knowledge about the length and sequence of the target and hence guides toward effective designing of the target-specific drug with a very low probability of bottleneck and failure. Based on the target sequence information, we further identified a specific mutant that showed the maximum potential to act as a destabilizer of the monomeric protein as well as enormous success as an aggregation suppressor. We eventually tested the drug efficacy by estimating the extent of modulation of binding affinity existing within the fibrillar form of the Aβ protein due to a single-point mutation and hence provided a proof of concept of the entire protocol.

Status and trends of personalized medicine research from 2000 to 2020: a bibliometric analysis

Background Personalized medicine (PM), as a rapidly growing research area, provides treatments, practices, and interventions being adapted to an individual patient based on his own risk of disease. This study aims to analyze the productivity of countries, institutions, and authors in this field, to determine the existing research trends worldwide, and to forecast future research activity for specific countries. Methods Documents published between 2000 and 2020 were retrieved from the Web of Science (WoS) database. Bibliometric analysis was performed to assess the outputs, correlation analysis was applied to analyze the relationship between Gross Domestic Product per capita (GDP-PP) and the number of publications, and an extrapolation method was used for predicting the future productivity trends for certain countries. Results A total of 7,772 documents were published globally on PM between 2000 and 2020. The most productive country, journal, and institution are the USA, Personalized Medicine, and Harvard Medical School, respectively. The USA is also first in line in terms of total citations. Netherlands, Denmark, and the USA are listed at the top in terms of the total number of papers and citations, after adjusting for GDP-PP and population size. Also, as predictions suggest, the USA will maintain its predominant role in the PM field in the next 5 years. Conclusions Owing to its both interdisciplinary and multidisciplinary nature, PM bestows researchers’ numerous sources to benefit and enables them a field that they can be productive of for the future. Therefore, this field is expected to progress and be the lead area in medicine in the upcoming years.

Bibliometric and Visual Analysis on Metabolomics in Coronary Artery Disease Research

BackgroundMetabolomics has immense research value in coronary artery disease and has drawn increasing attention over the past decades. Many articles have been published in this field, which may challenge researchers aiming to investigate all the available information. However, bibliometrics can provide deep insights into this research field.ObjectiveWe aimed to qualitatively and quantitatively study metabolomics and coronary artery disease research, visually analyse the development status, trends, research hotspots, and frontiers of this field, and provide a reference for research on coronary artery disease.MethodsArticles were acquired from the Web of Science Core Collection. VOSviewer and CiteSpace software were used to analyse publication growth, country/region, institution, journal distribution, author, reference, and keywords, and detected the keywords with strong citation burstness to identify emerging topics.ResultsA total of 1121 references were obtained, and the annual number of publications increased over the past 16 years. Metabolomics research has shown a gradual upward trend in coronary artery disease. The United States of America and China ranked at the top in terms of percentage of articles. The institution with the highest number of research publications in this field was Harvard University, followed by the University of California System and Brigham Women’s Hospital. The most frequently cited authors included Hazen SL, Tang WH, and Wang ZN. Ala-Korpela M was the most productive author, followed by Clish CB and Adamski J. The journal with the most publications in this field was Scientific Reports, followed by PLoS One and the Journal of Proteome Research. The keywords used at a high frequency were “risk,” “biomarkers,” “insulin resistance,” and “atherosclerosis.” Burst detection analysis of top keywords showed that “microbiota,” “tryptophan,” and “diabetes” are the current research frontiers in this field.ConclusionThis study provides useful information for acquiring knowledge on metabolomics and coronary artery diseases. Metabolomics research has shown a gradual upward trend in coronary artery disease studies over the past 16 years. Research on tryptophan metabolism regulated by intestinal flora will become an emerging academic trend in this field, which can offer guidance for more extensive and in-depth studies in the future.

Assessment of the genetic diversity and population structure of groundnut germplasm collections using phenotypic traits and SNP markers: Implications for drought tolerance breeding.

Profiling the genetic composition and relationships among groundnut germplasm collections is essential for the breeding of new cultivars. The objectives of this study were to assess the genetic diversity and population structure among 100 improved groundnut genotypes using agronomic traits and high-density single nucleotide polymorphism (SNP) markers. The genotypes were evaluated for agronomic traits and drought tolerance at the International Crop Research Institute for the Semi-Arid Tropics (ICRISAT)/India across two seasons. Ninety-nine of the test genotypes were profiled with 16363 SNP markers. Pod yield per plant (PY), seed yield per plant (SY), and harvest index (HI) were significantly (p < 0.05) affected by genotype × environment interaction effects. Genotypes ICGV 07222, ICGV 06040, ICGV 01260, ICGV 15083, ICGV 10143, ICGV 03042, ICGV 06039, ICGV 14001, ICGV 11380, and ICGV 13200 ranked top in terms of pod yield under both drought-stressed and optimum conditions. PY exhibited a significant (p ≤ 0.05) correlation with SY, HI, and total biomass (TBM) under both test conditions. Based on the principal component (PC) analysis, PY, SY, HSW, shelling percentage (SHP), and HI were allocated in PC 1 and contributed to the maximum variability for yield under the two water regimes. Hence, selecting these traits could be successful for screening groundnut genotypes under drought-stressed and optimum conditions. The model-based population structure analysis grouped the studied genotypes into three sub-populations. Dendrogram for phenotypic and genotypic also grouped the studied 99 genotypes into three heterogeneous clusters. Analysis of molecular variance revealed that 98% of the total genetic variation was attributed to individuals, while only 2% of the total variance was due to variation among the subspecies. The genetic distance between the Spanish bunch and Virginia bunch types ranged from 0.11 to 0.52. The genotypes ICGV 13189, ICGV 95111, ICGV 14421, and ICGV 171007 were selected for further breeding based on their wide genetic divergence. Data presented in this study will guide groundnut cultivar development emphasizing economic traits and adaptation to water-limited agro-ecologies, including in Ethiopia.

Comparative evaluation of top papers outputs of OIC member countries in the Essential Science Indicators database

The objective of this study was to analyze the top papers from Organization of Islamic Cooperation (OIC) member countries covered in the Essential Science Indicators (ESI) database during 2010-2019. The findings of the study showed that 41 out of 57 OIC member states have published 7,369 highly cited papers and 249 hot papers. The leading countries based on the overall top papers produced were Saudi Arabia, followed by Iran, Turkey, Malaysia, Pakistan and Egypt. Iran was ranked first in terms of hot papers. When analysed by document type, all of the top papers were articles and published in the English language. The Lancet ranks among the top in terms of publishing OIC member countries’ top papers, showing that it has a great academic influence producing highly cited papers and hot papers. The top five organizations producing top papers are all top universities in their country and they are also ranked globally. King Abdulaziz University contributed the most for both highly cited papers and hot papers. NANOFLUID was the most common keyword and core subject in highly cited papers, and the keyword MECHANICAL-PROPERTIES was the core subject identified in hot papers. Cluster 1 is the largest subject cluster of highly cited papers with the topic Nanotechnology and it is also the largest cluster of hot papers.

The effectiveness of corporate governance hybrid models in emerging markets: The case of the Issuer Recognition program

AbstractResearch question/issueWhat is the Issuer Recognition (IR) program, and what has been its impact as a new and replicable corporate governance hybrid form used in the Colombian Securities Exchange (CSE)?Research findings/insightsWe find that the IR program has significantly increased the information disclosure level of the adopting firms. This set of firms that were among the opaquest businesses in the region in 2010 ranked at the top in terms of disclosure in 2017. In addition, using as a benchmark the rate of implementation of the Colombian Country Code (soft law), we are able to show that the IR program serves as a strong signaling mechanism in the Colombian capital market.Theoretical/academic implicationsThe literature is not conclusive on the effectiveness of hard law and soft law regulations in the emerging markets. In this paper, we show that hybrid models, such as the innovative Colombian's IR, might serve as a solution for the effective implementation of good corporate governance practices at the country level.Practitioner/policy implicationsThe advantages and impacts of hybrid models are relatively unknown for policymakers, stock exchange promoters, and agency surveillance bodies, given the lack of empirical evidence of their application's effects. This paper seeks to increase the awareness of these models and call for their development and implementation, especially in emerging markets.

Financial inclusion and economic status of the states of India: An empirical evidence

AbstractFinancial inclusion, especially for a developing nation like India, plays a vital role in framing policies to ensure the development of the underprivileged. Applying the maximum–minimum technique for normalization and inverse of the Euclidean distance for consolidation, the present study attempts to construct an index of financial inclusion across all the states and union territories of India for 2003–2018. It further explores the effect of regional classifications and productivity on the achievement of financial inclusion. Analysis suggests Chandigarh be placed at the top in terms of mean financial inclusion scores for the study period. In addition, comparison among the regional classifications advocates for significant differences. Whereas the difference between the groups based on productivity remains nonsignificant. Theoretical propositions expect uniform achievement in financial inclusion among the states of a country. However, certain macroeconomic and other factors seem to reduce the esteemed equity.

Three decades of research in the technology analysis & strategic management: a bibliometrics analysis

ABSTRACT This study portrays an overview of the Technology Analysis & Strategic Management (TASM) Journal over the last 31 years. The work examines a broad range of performance aspects of the journal, such as citations and publications’ structure, most cited documents, most productive authors, countries, and universities. Besides, this study also presents the visualisation of co-citation, the bibliographic coupling of countries, co-citation, and co-occurrence of the most commonly used keywords. The results show a gradual increase in the number of citations and published documents, and this trend is expected to remain eulogised in the coming years. Results also predict that the developed countries are on top in terms of contribution to TASM.

Mapping current research and identifying hotspots on mesenchymal stem cells in cardiovascular disease

BackgroundMesenchymal stem cells (MSCs) have important research value and broad application prospects in the cardiovascular disease. This study provides information on the latest progress, evolutionary path, frontier research hotspots, and future research developmental trends in this field.MethodsA knowledge map was generated by CiteSpace and VOSviewer analysis software based on data obtained from the literature on MSCs in the cardiovascular field.ResultsThe USA and China ranked at the top in terms of the percentage of articles, accounting for 34.306% and 28.550%, respectively. The institution with the highest number of research publications in this field was the University of Miami, followed by the Chinese Academy of Medical Sciences and Harvard University. The research institution with the highest ACI value was Harvard University, followed by the Mayo Clinic and the University of Cincinnati.The top three subjects in terms of the number of published articles were cell biology, cardiovascular system cardiology, and research experimental medicine. The journal with the most publications in this field was Circulation Research, followed by Scientific Reports and Biomaterials. The direction of research on MSCs in the cardiovascular system was divided into four parts: (1) tissue engineering, scaffolds, and extracellular matrix research; (2) cell transplantation, differentiation, proliferation, and signal transduction pathway research; (3) assessment of the efficacy of stem cells from different sources and administration methods in the treatment of acute myocardial infarction, myocardial hypertrophy, and heart failure; and (4) exosomes and extracellular vesicles research. Tissue research is the hotspot and frontier in this field.ConclusionMSC research has presented a gradual upward trend in the cardiovascular field. Multidisciplinary intersection is a characteristic of this field. Engineering and materials disciplines are particularly valued and have received attention from researchers. The progress in multidisciplinary research will provide motivation and technical support for the development of this field.