Kui Cui

1.0k citations
30 papers · 696 · h-index 15

Impact in

    • Cell Adhesion Molecules Research
    • Immune cells in cancer
    • Atherosclerosis and Cardiovascular Diseases
    • Phagocytosis and Immune Regulation
    • Immune Response and Inflammation

Papers in

Kui Cui

29 papers receiving 691 citations

Peers

Kui Cui
Comparison fields: 5 of 95
  • Immunology and Allergy 59
  • Immunology 200
  • Biological Psychiatry 20
  • Behavioral Neuroscience 24
  • Neurology 44
Replace Sophie Daburon with:
Sophie Daburon France
Kelly M. Hensley United States
Emma L. Braine Australia
Benjamin J. Reed United States
Zsuzsa Jenei‐Lanzl Germany
Takeshi Okada Japan
Jianhua S. Yao United States
Daria Manganaro Italy
Mar Carrión Spain
Robert D. Mair United States
Kui Cui relative to Sophie Daburon France Sophie Daburon's profile →
Citations per field
00.5×2×4×6×
Sophie Daburon · 1×
Citations per year

Countries citing papers authored by Kui Cui

Since Specialization
Citations

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

Fields of papers citing papers by Kui Cui

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018111
2 201758
3 202346
4 202244
5 201339
6 201839
7 202239
8 202134
9 202229
10 202028
11 202428
12 202227
13 202023
14 201417
15 202017
16 201915
17 202213
18 202413
19 202513
20 202112

About Kui Cui

Kui Cui is a scholar working on Immunology, Immunology and Allergy, Neurology, Cell Biology and Cancer Research, having authored 30 papers that have together received 696 indexed citations. Recurring topics across this work include Immune cells in cancer (6 papers), Cell Adhesion Molecules Research (4 papers), Protease and Inhibitor Mechanisms (2 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (2 papers), Autophagy in Disease and Therapy (2 papers), Neuroscience and Neuropharmacology Research (2 papers), Adipose Tissue and Metabolism (2 papers) and DNA Repair Mechanisms (2 papers). The work is most often cited by research in Immunology and Allergy (59 citations), Immunology (200 citations), Biological Psychiatry (20 citations), Behavioral Neuroscience (24 citations) and Neurology (44 citations). Kui Cui has collaborated with scholars based in United States, China and Japan. Frequent co-authors include Valentin P. Yakubenko, Christopher L. Ardell, Nataly P. Podolnikova, Bo Zhu, Hong Chen, Douglas B. Cowan, Hao Wu, Yunzhou Dong, Scott W. Wong and Siu‐Lung Chan. Their work appears in journals such as Frontiers in Cardiovascular Medicine, Arteriosclerosis Thrombosis and Vascular Biology, Vascular Pharmacology, Cells and Neurotoxicity Research.

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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