Xiao‐Bing Cui

915 citations
26 papers · 698 · h-index 17

Impact in

Papers in

Xiao‐Bing Cui

26 papers receiving 695 citations

Peers

Xiao‐Bing Cui
Comparison fields: 5 of 86
  • Cardiology and Cardiovascular Medicine 173
  • Immunology 129
  • Cancer Research 83
  • Molecular Biology 282
  • Physiology 103
Replace P. Lacolley with:
P. Lacolley France
Hossein Babaahmadi‐Rezaei Iran
Yunfei Bian China
Xiangjuan Liu China
Ki-Up Lee South Korea
Rachel J. Roth Flach United States
Marie-Ann Ewart United Kingdom
Eduardo Mascareno United States
Yiu-Fai Chen United States
Yukiko Nakata Japan
Xiao‐Bing Cui relative to P. Lacolley France P. Lacolley's profile →
Citations per field
00.5×1.5×1.8×
P. Lacolley · 1×
Citations per year

Countries citing papers authored by Xiao‐Bing Cui

Since Specialization
Citations

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

Fields of papers citing papers by Xiao‐Bing Cui

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011157
2 201749
3 201147
4 201547
5 201542
6 201637
7 201435
8 201833
9 201332
10 201330
11 202229
12 201722
13 201719
14 201518
15 201017
16 201917
17 201316
18 201810
19 201010
20
[High glucose increases periostin expression and the related signal pathway in adult rat cardiac fibroblasts].
201010

About Xiao‐Bing Cui

Xiao‐Bing Cui is a scholar working on Molecular Biology, Epidemiology, Cardiology and Cardiovascular Medicine, Immunology and Physiology, having authored 26 papers that have together received 698 indexed citations. Recurring topics across this work include Adipokines, Inflammation, and Metabolic Diseases (7 papers), Adipose Tissue and Metabolism (3 papers), Atherosclerosis and Cardiovascular Diseases (3 papers), Cardiac Fibrosis and Remodeling (3 papers), Signaling Pathways in Disease (2 papers), Complement system in diseases (2 papers), Cardiovascular Disease and Adiposity (2 papers) and Mycotoxins in Agriculture and Food (2 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (173 citations), Immunology (129 citations), Cancer Research (83 citations), Molecular Biology (282 citations) and Physiology (103 citations). Xiao‐Bing Cui has collaborated with scholars based in China and United States. Frequent co-authors include Shi‐You Chen, Li‐Ling Wu, Yun Zhou, Fan Dong, Dan Wu, Cheng Wang, Li Li, Jinyu Wang, Xia Guo and Ning Shi. Their work appears in journals such as Arteriosclerosis Thrombosis and Vascular Biology, Cardiovascular Research, Circulation Research, International Journal of Pharmaceutics and The International Journal of Biochemistry & Cell Biology.

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.

Explore authors with similar magnitude of impact