Bin Cui

5.3k citations
133 papers · 2.7k · h-index 31

Impact in

Papers in

    • Metabolism, Diabetes, and Cancer 4
    • Genetic Associations and Epidemiology 9
    • Diabetes and associated disorders 7

Bin Cui

131 papers receiving 2.7k citations

Peers

Bin Cui
Comparison fields: 5 of 127
  • Endocrinology, Diabetes and Metabolism 297
  • Immunology 379
  • Aging 30
  • Molecular Biology 1.1k
  • Parasitology 104
Replace Tomohiko Murakami with:
Tomohiko Murakami Japan
Jonathan C. Schisler United States
Kazuya Yoshinaga Japan
Jonathan LaMarre Canada
Matthew F. Starost United States
Björn Rozell Sweden
Yanan Li China
Hideki Yagi Japan
Mohammad Reza Abbaszadegan Iran
Antonio Fueyo Spain
Bin Cui relative to Tomohiko Murakami Japan Tomohiko Murakami's profile →
Citations per field
00.5×2.5×
Tomohiko Murakami · 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 133 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002219
2 2013109
3 200974
4 200967
5 200865
6 200960
7
Advanced glycation endproducts induce apoptosis of endothelial progenitor cells by activating receptor RAGE and NADPH oxidase/JNK signaling axis.
201657
8 201956
9 200655
10 200555
11 201952
12 201149
13
A novel mutation in GJA3 (connexin46) for autosomal dominant congenital nuclear pulverulent cataract.
200348
14 200948
15 201247
16 200747
17 201041
18 201440
19 201040
20 200939

About Bin Cui

Bin Cui is a scholar working on Molecular Biology, Genetics, Endocrinology, Diabetes and Metabolism, Immunology and Cancer Research, having authored 133 papers that have together received 2.7k indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (9 papers), Diabetes and associated disorders (7 papers), Adrenal and Paraganglionic Tumors (7 papers), Immune Cell Function and Interaction (7 papers), Thyroid Disorders and Treatments (5 papers), Cancer, Hypoxia, and Metabolism (5 papers), Reproductive System and Pregnancy (5 papers) and Metabolism, Diabetes, and Cancer (4 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (297 citations), Immunology (379 citations), Aging (30 citations), Molecular Biology (1.1k citations) and Parasitology (104 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, Yulian Jiao, Weiqing Wang, Yueran Zhao and Zi‐Jiang Chen. Their work appears in journals such as Clinical Endocrinology, The Journal of Clinical Endocrinology & Metabolism, Gene, PLoS ONE and Journal of Diabetes.

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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