Yanning Cui

452 citations
13 papers · 379 · h-index 9

Impact in

Papers in

Yanning Cui

13 papers receiving 373 citations

Peers

Yanning Cui
Comparison fields: 5 of 71
  • Cardiology and Cardiovascular Medicine 150
  • Endocrinology, Diabetes and Metabolism 97
  • Electrochemistry 29
  • Molecular Biology 186
  • Pharmacology 45
Replace Carmen Härdtner with:
Carmen Härdtner Germany
Sérgio Scalzo Brazil
M. Uehara Japan
Shyh-Jong Wu Taiwan
M. Dunand Switzerland
Marcel M. G. J. van Borren Netherlands
J Jehle Germany
David Paul India
Fasih A. Rahman Canada
Herwig Hahn von Dorsche Germany
Yanning Cui relative to Carmen Härdtner Germany Carmen Härdtner's profile →
Citations per field
00.5×2.6×
Carmen Härdtner · 1×
Citations per year

Countries citing papers authored by Yanning Cui

Since Specialization
Citations

This map shows the geographic impact of Yanning Cui'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 Yanning Cui with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yanning Cui more than expected).

Fields of papers citing papers by Yanning Cui

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yanning Cui. 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 Yanning Cui. The network helps show where Yanning Cui may publish in the future.

Co-authors

The 25 scholars most cited alongside Yanning Cui, 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 Yanning Cui Line = papers co-authored together Yanning Cui links everyone, so they are left out of the graph.

All Works

13 of 13 papers shown
#Work
1 1999108
2 200987
3 199849
4 200137
5 199827
6 199820
7 199915
8 200011
9 19999
10 20226
11 19915
12
The anti-proliferative effects of nicotinamide and 3-aminobenzamide on human smooth muscle cells in vitro.
19934
13 19911

About Yanning Cui

Yanning Cui is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology, Physiology, Endocrinology, Diabetes and Metabolism and Cellular and Molecular Neuroscience, having authored 13 papers that have together received 379 indexed citations. Recurring topics across this work include Renin-Angiotensin System Studies (4 papers), Hormonal Regulation and Hypertension (3 papers), Birth, Development, and Health (2 papers), Estrogen and related hormone effects (2 papers), Nuclear Receptors and Signaling (2 papers), Receptor Mechanisms and Signaling (2 papers), Advanced biosensing and bioanalysis techniques (1 paper) and Ion channel regulation and function (1 paper). The work is most often cited by research in Cardiology and Cardiovascular Medicine (150 citations), Endocrinology, Diabetes and Metabolism (97 citations), Electrochemistry (29 citations), Molecular Biology (186 citations) and Pharmacology (45 citations). Yanning Cui has collaborated with scholars based in United States, China and Japan. Frequent co-authors include Chittampalli S. Narayanan, Jie Zhou, Yan Zhao, Ashok Kumar, Jing Liu, Wei Wang, Xiaoping Han, Shufeng Liu, Yoshihiro Ishikawa and Yong-Fu Xiao. Their work appears in journals such as Mechanisms of Ageing and Development, Molecular and Cellular Biochemistry, Gene, Journal of Psychosomatic Research and Biosensors and Bioelectronics.

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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