Congxia Wang

862 citations
34 papers · 677 · h-index 12

Impact in

Papers in

Congxia Wang

33 papers receiving 667 citations

Peers

Congxia Wang
Comparison fields: 5 of 111
  • Physiology 126
  • Public Health, Environmental and Occupational Health 140
  • Nephrology 29
  • Cardiology and Cardiovascular Medicine 91
  • Endocrinology, Diabetes and Metabolism 64
Replace Laura Kate Gadanec with:
Laura Kate Gadanec Australia
Dengfeng Xu China
Maria Azrad United States
Ralf Miesel Germany
Massimo Bertinaria Italy
Dong Chang China
Jing Ning China
Katsuya Yamasaki Japan
Tawfeeg A. Najjar Saudi Arabia
Peter R. Gwilt United States
Congxia Wang relative to Laura Kate Gadanec Australia Laura Kate Gadanec's profile →
Citations per field
00.5×2.6×
Laura Kate Gadanec · 1×
Citations per year

Countries citing papers authored by Congxia Wang

Since Specialization
Citations

This map shows the geographic impact of Congxia Wang's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Congxia Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Congxia Wang more than expected).

Fields of papers citing papers by Congxia Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Congxia Wang. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Congxia Wang. The network helps show where Congxia Wang may publish in the future.

Co-authors

The 25 scholars most cited alongside Congxia Wang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Congxia Wang Line = papers co-authored together Congxia Wang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013188
2 2007138
3 201648
4 201944
5
PI3K/AKT signaling pathway plays a role in enhancement of eNOS activity by recombinant human angiotensin converting enzyme 2 in human umbilical vein endothelial cells.
201432
6 202031
7 201228
8 201720
9 202119
10
ACE2-Ang (1-7) axis is induced in pressure overloaded rat model.
201517
11 202312
12 201812
13 202111
14 201610
15 20159
16 20179
17 20138
18 20247
19 20135
20 20165

About Congxia Wang

Congxia Wang is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Endocrinology, Diabetes and Metabolism, Epidemiology and Physiology, having authored 34 papers that have together received 677 indexed citations. Recurring topics across this work include Cardiovascular Function and Risk Factors (4 papers), Apelin-related biomedical research (3 papers), Adipokines, Inflammation, and Metabolic Diseases (3 papers), Nutritional Studies and Diet (3 papers), Hormonal Regulation and Hypertension (3 papers), Cardiac Arrhythmias and Treatments (2 papers), Vitamin D Research Studies (2 papers) and Renin-Angiotensin System Studies (2 papers). The work is most often cited by research in Physiology (126 citations), Public Health, Environmental and Occupational Health (140 citations), Nephrology (29 citations), Cardiology and Cardiovascular Medicine (91 citations) and Endocrinology, Diabetes and Metabolism (64 citations). Congxia Wang has collaborated with scholars based in China. Frequent co-authors include Fangfei Yan, Yixuan Zhang, Ling Ye, Dengfeng Gao, Qing Li, Zhe Meng, Ning Ning, Yang Liu, Qiang Li and Yongqin Li. Their work appears in journals such as Scientific Reports, Geospatial health, Life Sciences, Diabetes Research and Clinical Practice and PLoS ONE.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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