Cuiju Mo

729 citations
41 papers · 577 · h-index 14

Impact in

Papers in

    • Cancer, Hypoxia, and Metabolism 4
    • Cancer, Lipids, and Metabolism 3
    • Cancer-related molecular mechanisms research 2
    • Cancer-related Molecular Pathways 4

Cuiju Mo

39 papers receiving 570 citations

Peers

Cuiju Mo
Comparison fields: 5 of 77
  • Pollution 68
  • Cancer Research 71
  • Immunology 96
  • Oncology 116
  • Hepatology 34
Replace Chong Zhou with:
Chong Zhou China
Ai Shen China
Hailiang Zhang China
Yongshi Jia China
Fangfang Yang China
Xujun Song China
Seraina Faes Switzerland
Yanjie Zhao China
Maria A. Kovalenko United States
Junrong Wu China
Cuiju Mo relative to Chong Zhou China Chong Zhou's profile →
Citations per field
00.5×1.5×2×2.5×
Chong Zhou · 1×
Citations per year

Countries citing papers authored by Cuiju Mo

Since Specialization
Citations

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

Fields of papers citing papers by Cuiju Mo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201354
2 202342
3 201433
4 201331
5 201329
6 202426
7 201626
8 202024
9 201324
10 201322
11 201319
12 201319
13 201318
14 201215
15 201414
16 201314
17 201414
18
Reduced N-acetylglucosaminyltransferase III expression via Smad3 and Erk signaling in TGF-β1-induced HCC EMT model.
201714
19 201812
20 201412

About Cuiju Mo

Cuiju Mo is a scholar working on Cancer Research, Oncology, Immunology, Molecular Medicine and Molecular Biology, having authored 41 papers that have together received 577 indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (4 papers), Cancer-related Molecular Pathways (4 papers), Cancer, Hypoxia, and Metabolism (4 papers), Cancer, Lipids, and Metabolism (3 papers), Cancer-related molecular mechanisms research (2 papers), Antibiotic Resistance in Bacteria (2 papers), Complement system in diseases (2 papers) and DNA Repair Mechanisms (2 papers). The work is most often cited by research in Pollution (68 citations), Cancer Research (71 citations), Immunology (96 citations), Oncology (116 citations) and Hepatology (34 citations). Cuiju Mo has collaborated with scholars based in China and Ethiopia. Frequent co-authors include Xue Ying Qin, Qiliu Peng, Shan Li, Jingzhe Sui, Yan Deng, Li Huang, Limin Zhai, Yinkun Liu, Shi Yang and Lu Yu. Their work appears in journals such as PLoS ONE, Tumor Biology, Clinical Biochemistry, Frontiers in Cellular and Infection Microbiology and DNA and Cell Biology.

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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