Junwen Wang
Biographic Data
| ID | 4261865 |
|---|---|
| NAME | Junwen Wang |
| GIVEN NAMES | Junwen |
| FAMILY NAME | Wang |
| SIGNATURE | WANG J |
| AFFILIATIONS | Harbin Institute of Technology |
| ORCID | 0000-0002-4432-4707 |
| VERIFIED | Yes |
| TOTAL WORKS | 4 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 4 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2024 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Trends, underlying-cause structure, and penetration of end-stage kidney disease involvement in U.S. mortality, 1999–2023: A multiple-cause-of-death analysis
Background End-stage kidney disease (ESKD) is often listed as a contributing rather than underlying cause of death, potentially understating its burden in underlying-cause surveillance. Using U.S. multiple-cause-of-death data, we evaluated trends, underlying-cause pathways, ESKD “penetration” into cause-specific mortality, and drivers of change in ESKD-involved deaths. Methods Using CDC WONDER Multiple Cause of Death data (1999–2023), we identifi…
Mortality burden and epidemiology of procedure- and device-related healthcare-associated infections in the United States, 1999–2023: A CDC Wonder analysis
Background: Procedure- and device-related healthcare-associated infections (PD-HAIs) are a major cause of preventable hospital mortality, yet population-level data on long-term trends remain limited. This study aims to evaluate national PD-HAI mortality trends and subgroup disparities in the United States from 1999 to 2023. Methods: This descriptive study analyzed PD-HAI-related mortality in the United States from 1999 to 2023 using the CDC Wide-…
Bringing Generalized Status Back in: Cross-National Evidence for a Unidimensional Measure
This study revisits Haller’s research question concerning the construction and use of a theoretical construct of generalized status. Using principal component analysis and data from 32 societies in the 2009 International Social Survey Programme (ISSP), we create a rank-based measure of generalized socioeconomic status (GSES) that combines four content dimensions of a person’s socioeconomic status—education, occupational status, individual earning…
Mechanism of cryptotanshinone to improve endocrine and metabolic functions in the endometrium of PCOS rats
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Mechanism of cryptotanshinone to improve endocrine and metabolic functions in the endometrium of PCOS rats
Mortality burden and epidemiology of procedure- and device-related healthcare-associated infections in the United States, 1999–2023: A CDC Wonder analysis
Background: Procedure- and device-related healthcare-associated infections (PD-HAIs) are a major cause of preventable hospital mortality, yet population-level data on long-term trends remain limited. This study aims to evaluate national PD-HAI mortality trends and subgroup disparities in the United States from 1999 to 2023. Methods: This descriptive study analyzed PD-HAI-related mortality in the United States from 1999 to 2023 using the CDC Wide-…
Bringing Generalized Status Back in: Cross-National Evidence for a Unidimensional Measure
This study revisits Haller’s research question concerning the construction and use of a theoretical construct of generalized status. Using principal component analysis and data from 32 societies in the 2009 International Social Survey Programme (ISSP), we create a rank-based measure of generalized socioeconomic status (GSES) that combines four content dimensions of a person’s socioeconomic status—education, occupational status, individual earning…
Trends, underlying-cause structure, and penetration of end-stage kidney disease involvement in U.S. mortality, 1999–2023: A multiple-cause-of-death analysis
Background End-stage kidney disease (ESKD) is often listed as a contributing rather than underlying cause of death, potentially understating its burden in underlying-cause surveillance. Using U.S. multiple-cause-of-death data, we evaluated trends, underlying-cause pathways, ESKD “penetration” into cause-specific mortality, and drivers of change in ESKD-involved deaths. Methods Using CDC WONDER Multiple Cause of Death data (1999–2023), we identifi…
Medicine (2 works) · Public health (2 works) · Aromatase (1 works) · Biology (1 works) · Cancer-related molecular mechanisms research (1 works) · Cell Biology (1 works) · Chronic Disease Management Strategies (1 works) · Chronic Kidney Disease and Diabetes (1 works) · Computer Science (1 works) · Confidence interval (1 works)