Knowledge mapping of research on the mitochondrial unfolded protein response: a bibliometric and visual analysis

Abstract

Background The mitochondrial unfolded protein response (UPR mt ) is a mitochondria stress response, which exerts a crucial role in maintaining mitochondrial proteostasis during stress. However, there is no bibliometric analyses systematically studied this field which could comprehensively review research trends, evaluate publication performances and provide future perspectives. Methods Articles investigating UPR mt published between 1994 and 2021 were downloaded from the Core Collection of the Web of Science (WOS). CiteSpace and VOSviewer bibliometric software were applied for bibliometric and visual analyses. Results A total of 2,073 papers researching UPR mt were retrieved. According to the published number of papers, the field of UPR mt research has gone through its infancy (after 2000) and rapid growth (after 2021) phases. The United States and China contributed the most to UPR mt research. Regarding the distribution of institutions, Harvard University was the most influential institution. The most prolific authors are Johan Auwerx and CM Haynes. PLoS One is the most extensive journal in the field of UPR mt research, while the Cell Death and Differentiation journal had the greatest impact among the most-authored journals. Moreover, biochemistry/molecular biology, and cell biology are the largest subject areas. UPR mt research is mainly categorized as UPR mt , transcription, endoplasmic reticulum (ER) stress, lipotoxicity, mitophagy, inflammation, skeletal muscle, hypoxia, apoptosis, mitochondrial dysfunction, neurodegeneration, mitochondrial permeability transition, and integrated stress response. Conclusions At present, research on UPR mt is booming. Further strengthening the cooperation and exchanges between countries, institutions, and authors in the future will surely promote the development of this field.

Bibliometric and Visualization Analysis of Research Hotspots and Frontiers in Endoscopic Lumbar Discectomy

“…Figure 3B depicts a collaboration network of countries/regions with at least five publications, where the size of each node represents the number of publications, and the thickness of the lines indicates the strength of cooperation. 20 , 21 The color of each node reflects the average publication date, with yellow indicating a later publication date. 22 It can be observed that South Korea, the United States, Japan, and Germany made significant contributions in the early stage of research with earlier publication dates, while China, Brazil, Switzerland, Thailand, and Colombia gradually entered the research field in recent years and have been making remarkable progress, particularly in the case of China, which has taken a central position in the field in recent years.…”

Bibliometric and Visualization Analysis of Biomechanical Research on Lumbar Intervertebral Disc

“…The warmer colors of the nodes signify later average publication times. [15][16][17][18] It appears that the United States made outstanding contributions in the early research of this field with earlier average publication times, while China has recently published a large number of academic achievements. Additionally, Table 1 lists relevant information of the top 10 countries/regions in terms of publication volume, with the United States (484, 34.35%), China (272, 19.30%), and Germany (174, 12.35%) accounting for 66% of the total publications.…”

Global research trends in artificial intelligence for critical care with a focus on chord network charts: Bibliometric analysis

“…In bibliometrics, network charts are frequently used to report the collaborations and cooccurrences involving the most active international entities across countries, research institutes, departments, authors, and keywords. [3,28,[46][47][48][49][50] However, these charts often suffer from unclear labeling and relationships between members. To address these limitations, this study will demonstrate the use of 5 CNCs in AI for critical care.…”

“…The figure illustrates 3 types of network charts used in bibliometric analyses: clusters [3,28,[46][47][48][49][50]52] (clusters are randomly scattered); circles [53][54][55][56][57][58] (members are grouped by cluster and bubble size), and chords [43][44][45]59] (similar to the circle chart with significant relationships between members). Readers will find that the CNC with a dashboard-type representation has a meaningful and clear interface.…”