Bin Cui

5.4k citations
135 papers · 2.7k indexed · h-index 31

Impact in

Papers in

    • Metabolism, Diabetes, and Cancer 6
    • Epigenetics and DNA Methylation 6
    • Genetic Associations and Epidemiology 12
    • Diabetes and associated disorders 9

Bin Cui

132 papers receiving 2.7k citations

Peers

Bin Cui
Comparison fields: 5 of 133
  • Endocrinology, Diabetes and Metabolism 432
  • Immunology 478
  • Cancer Research 285
  • Molecular Biology 1.3k
  • Genetics 522
Replace Björn Rozell with:
Björn Rozell Sweden
Yanan Li China
Jonathan LaMarre Canada
JoAnn Trial United States
Kazuya Yoshinaga Japan
Gerard R. Rutteman Netherlands
Andrew G. Geiser United States
Maureen A. Su United States
Haibo Zhao United States
Gunnar Westin Sweden
Bin Cui relative to Björn Rozell Sweden Björn Rozell's profile →
Citations per field
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Björn Rozell · 1×
Citations per year

Countries citing papers authored by Bin Cui

Since Specialization
Citations

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

Fields of papers citing papers by Bin Cui

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 135 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002207
2 2013106
3 200970
4 200964
5 200863
6 200959
7 201957
8
Advanced glycation endproducts induce apoptosis of endothelial progenitor cells by activating receptor RAGE and NADPH oxidase/JNK signaling axis.
201656
9 200955
10 200554
11 200652
12 201951
13 201148
14
A novel mutation in GJA3 (connexin46) for autosomal dominant congenital nuclear pulverulent cataract.
200346
15 200745
16 201244
17 200941
18 201439
19 201039
20 201038

About Bin Cui

Bin Cui is a scholar working on Molecular Biology, Genetics, Endocrinology, Diabetes and Metabolism, Immunology and Cancer Research, having authored 135 papers that have together received 2.7k indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (12 papers), Immune Cell Function and Interaction (11 papers), Diabetes and associated disorders (9 papers), Cancer, Hypoxia, and Metabolism (9 papers), Thyroid Disorders and Treatments (7 papers), Adrenal and Paraganglionic Tumors (7 papers), Metabolism, Diabetes, and Cancer (6 papers) and Epigenetics and DNA Methylation (6 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (432 citations), Immunology (478 citations), Cancer Research (285 citations), Molecular Biology (1.3k citations) and Genetics (522 citations). Bin Cui has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Guang Ning, Guang Ning, Min Cao, Xiangyin Kong, Landian Hu, Laicheng Wang, Weiqing Wang, Yulian Jiao, Yueran Zhao and Jie Hong. Their work appears in journals such as Clinical Endocrinology, The Journal of Clinical Endocrinology & Metabolism, Journal of Diabetes, Gene 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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