Ling Wei

404 citations
13 papers · 252 · h-index 7

Impact in

  • Hepatology top 10%
    • Liver physiology and pathology
    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research

Papers in

    • PI3K/AKT/mTOR signaling in cancer 2
    • Inflammasome and immune disorders 1
    • Liver physiology and pathology 3

Ling Wei

11 papers receiving 250 citations

Peers

Ling Wei
Comparison fields: 5 of 58
  • Hepatology 45
  • Cancer Research 42
  • Pharmacology 20
  • Oncology 54
  • Molecular Biology 98
Replace Hongchao Yuan with:
Hongchao Yuan Hong Kong
Baolin Qian China
Soo Teik Lee South Korea
Zhibo Dang China
Chunlei Lin China
Runyu Yang China
Long Lv China
Guoyong Chen China
Liyuan Hao China
Laura Albertoni Italy
Ling Wei relative to Hongchao Yuan Hong Kong Hongchao Yuan's profile →
Citations per field
00.5×10×20×30×44×
Hongchao Yuan · 1×
Citations per year

Countries citing papers authored by Ling Wei

Since Specialization
Citations

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

Fields of papers citing papers by Ling Wei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

13 of 13 papers shown
#Work
1 202162
2 201843
3 201233
4 201932
5 202330
6 201723
7 201219
8 20245
9 20242
10 20212
11
[Effects of CTCF on human liver cancer stem cells and cell proliferation].
20141
12 20260
13
[Inhibitory and apoptosis regulating effects of adriamycin on different human breast cancer cell lines].
20050

About Ling Wei

Ling Wei is a scholar working on Molecular Biology, Hepatology, Immunology, Pathology and Forensic Medicine and Cancer Research, having authored 13 papers that have together received 252 indexed citations. Recurring topics across this work include Liver physiology and pathology (3 papers), Cancer Mechanisms and Therapy (2 papers), PI3K/AKT/mTOR signaling in cancer (2 papers), Ferroptosis and cancer prognosis (1 paper), Galectins and Cancer Biology (1 paper), Inflammasome and immune disorders (1 paper), Liver Disease Diagnosis and Treatment (1 paper) and Psoriasis: Treatment and Pathogenesis (1 paper). The work is most often cited by research in Hepatology (45 citations), Cancer Research (42 citations), Pharmacology (20 citations), Oncology (54 citations) and Molecular Biology (98 citations). Ling Wei has collaborated with scholars based in China, Philippines and Singapore. Frequent co-authors include Jincai Lu, Hui Jia, Quanfang Huang, Boan Li, Shuang Cao, Fan Feng, Yingshi Zhang, Xing Lin, Qiyu Jiang and Shijun Zhang. Their work appears in journals such as Journal of Ethnopharmacology, BMC Women s Health, Pharmacological Research, International Immunopharmacology and JCI Insight.

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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