Xiao‐Bing Cui

924 citations
26 papers · 706 · h-index 17

Impact in

Papers in

Xiao‐Bing Cui

26 papers receiving 703 citations

Peers

Xiao‐Bing Cui
Comparison fields: 5 of 82
  • Cardiology and Cardiovascular Medicine 154
  • Immunology 113
  • Cancer Research 74
  • Immunology and Allergy 21
  • Physiology 88
Replace P. Lacolley with:
P. Lacolley France
Hossein Babaahmadi‐Rezaei Iran
Marie‐Ann Ewart United Kingdom
Yukiko Nakata Japan
Eduardo Mascareno United States
Cui Tian China
Ki-Up Lee South Korea
Changwu Xu China
Katharina Jandl Austria
Katrin Brodbeck Germany
Xiao‐Bing Cui relative to P. Lacolley France P. Lacolley's profile →
Citations per field
00.5×1.5×2.0×
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 201148
4 201547
5 201542
6 201637
7 201435
8 201834
9 201332
10 202231
11 201330
12 201722
13 201721
14 201518
15 201917
16 201017
17 201316
18 201810
19 201010
20
The protective action of taurine and L-arginine in radiation pulmonary fibrosis.
199810

About Xiao‐Bing Cui

Xiao‐Bing Cui is a scholar working on Epidemiology, Cardiology and Cardiovascular Medicine, Immunology, Surgery and Molecular Biology, having authored 26 papers that have together received 706 indexed citations. Recurring topics across this work include Adipokines, Inflammation, and Metabolic Diseases (7 papers), Cardiac Fibrosis and Remodeling (3 papers), Cholesterol and Lipid Metabolism (2 papers), Cardiovascular Disease and Adiposity (2 papers), Mycotoxins in Agriculture and Food (2 papers), Adipose Tissue and Metabolism (2 papers), Complement system in diseases (2 papers) and Atherosclerosis and Cardiovascular Diseases (2 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (154 citations), Immunology (113 citations), Cancer Research (74 citations), Immunology and Allergy (21 citations) and Physiology (88 citations). Xiao‐Bing Cui has collaborated with scholars based in China, United States and Romania. Frequent co-authors include Shi‐You Chen, Li‐Ling Wu, Yun Zhou, Fan Dong, Dan Wu, Li Li, Cheng Wang, Jinyu Wang, Xia Guo and Ning Shi. Their work appears in journals such as Arteriosclerosis Thrombosis and Vascular Biology, Cardiovascular Research, Circulation Research, The FASEB Journal and Frontiers in Microbiology.

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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