Min Cui

33 papers receiving 898 citations

Min Cui's Hit Papers

Nav1.7 as a chondrocyte regulator and therapeutic target for osteoarthritis 2024 · 84 citations
840+1Years since publication255075

Peers

Min Cui
Comparison fields: 5 of 98
  • Pathology and Forensic Medicine 146
  • Endocrinology, Diabetes and Metabolism 116
  • Cellular and Molecular Neuroscience 108
  • Behavioral Neuroscience 20
  • Cancer Research 70
Replace Koji Sugawara with:
Koji Sugawara Japan
Hemendra J. Vekaria United States
Nihar R. Pandey Canada
Lilia Magomedova Canada
Jianmin Chen China
Toshiro Saito Japan
Myron L. Toews United States
Tiago R. Figueira Brazil
Achim H.‐P. Krauss United States
Xiaobin Liu China
Min Cui relative to Koji Sugawara Japan Koji Sugawara's profile →
Citations per field
00.5×1.5×1.9×
Koji Sugawara · 1×
Citations per year

Countries citing papers authored by Min Cui

Since Specialization
Citations

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

Fields of papers citing papers by Min Cui

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201893
2 201086
3
Nav1.7 as a chondrocyte regulator and therapeutic target for osteoarthritis
Hit paper breakdown →
202484
4 201265
5 201051
6 201650
7 200847
8 201041
9 200841
10 201539
11 201437
12 201732
13 201330
14 201830
15 201029
16 200724
17 200822
18 201120
19 201912
20 201910

About Min Cui

Min Cui is a scholar working on Genetics, Molecular Biology, Endocrinology, Diabetes and Metabolism, Pathology and Forensic Medicine and Surgery, having authored 33 papers that have together received 915 indexed citations. Recurring topics across this work include Vitamin D Research Studies (4 papers), Pancreatic function and diabetes (4 papers), Diabetes and associated disorders (3 papers), Estrogen and related hormone effects (3 papers), Cell death mechanisms and regulation (3 papers), Epigenetics and DNA Methylation (3 papers), Healthcare and Venom Research (2 papers) and Diabetes Management and Research (2 papers). The work is most often cited by research in Pathology and Forensic Medicine (146 citations), Endocrinology, Diabetes and Metabolism (116 citations), Cellular and Molecular Neuroscience (108 citations), Behavioral Neuroscience (20 citations) and Cancer Research (70 citations). Min Cui has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include James C. Fleet, Zhentao Zhang, Xiao Yu, Jin‐Peng Sun, Hong‐Xiang Lou, Junhong Dong, Qi Pang, William Ka Kei Wu, Xin Chen and Shanshan Liu. Their work appears in journals such as Journal of Cellular Physiology, Archives of Pharmacal Research, APOPTOSIS, Journal of Cellular and Molecular Medicine and Cell Death and Disease.

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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