Wei Cui

2.4k citations
89 papers · 1.8k · h-index 24

Impact in

    • Cancer-related molecular mechanisms research
    • Renal and related cancers
    • Epigenetics and DNA Methylation
    • RNA modifications and cancer
    • Cancer-related gene regulation
    • Gut microbiota and health

Papers in

    • Renal and related cancers 10
    • RNA modifications and cancer 9
    • Epigenetics and DNA Methylation 5
    • Pluripotent Stem Cells Research 4
    • Telomeres, Telomerase, and Senescence 5
    • Clinical Laboratory Practices and Quality Control 5

Wei Cui

86 papers receiving 1.8k citations

Peers

Wei Cui
Comparison fields: 5 of 114
  • Cancer Research 327
  • Molecular Biology 947
  • Oncology 295
  • Rheumatology 130
  • Hematology 89
Replace Weijie Yuan with:
Weijie Yuan China
Masahito Minami Japan
Grazia Malaponte Italy
Seiji Kawano Japan
Ryuji Ohashi Japan
Donge Tang China
Éric Frisdal France
Daniel Cejka Austria
Tao Tian China
Laura Necula Romania
Wei Cui relative to Weijie Yuan China Weijie Yuan's profile →
Citations per field
00.5×1.5×2×2.3×
Weijie Yuan · 1×
Citations per year

Countries citing papers authored by Wei Cui

Since Specialization
Citations

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

Fields of papers citing papers by Wei Cui

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 89 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2021208
2 2006173
3 201483
4 201483
5 201580
6 200672
7 201567
8 201960
9 201156
10 201949
11 201344
12 201444
13 201338
14 200638
15 201437
16 202030
17 201928
18 201627
19 201327
20 202125

About Wei Cui

Wei Cui is a scholar working on Molecular Biology, Physiology, Surgery, Cancer Research and Oncology, having authored 89 papers that have together received 1.8k indexed citations. Recurring topics across this work include Renal and related cancers (10 papers), RNA modifications and cancer (9 papers), Epigenetics and DNA Methylation (5 papers), Telomeres, Telomerase, and Senescence (5 papers), Cancer-related molecular mechanisms research (5 papers), Clinical Laboratory Practices and Quality Control (5 papers), Acute Lymphoblastic Leukemia research (4 papers) and Pluripotent Stem Cells Research (4 papers). The work is most often cited by research in Cancer Research (327 citations), Molecular Biology (947 citations), Oncology (295 citations), Rheumatology (130 citations) and Hematology (89 citations). Wei Cui has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Donghong Zhang, Ye Guo, Li Chai, Yuqing Pei, Danfei Xu, Wei Wu, Yupo Ma, Raymond Lai, Xiaoying Lou and Fei Wang. Their work appears in journals such as Clinica Chimica Acta, Blood, Scientific Reports, Scandinavian Journal of Clinical and Laboratory Investigation and Journal of Clinical Laboratory Analysis.

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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