Cheng Wei

687 citations
18 papers · 404 · h-index 11

Impact in

    • Cancer-related molecular mechanisms research
    • MicroRNA in disease regulation
    • RNA modifications and cancer
    • Circular RNAs in diseases
    • RNA Research and Splicing
    • Cancer-related gene regulation

Papers in

    • Circular RNAs in diseases 3
    • RNA Research and Splicing 2
    • RNA modifications and cancer 2
    • Cancer-related molecular mechanisms research 5

Cheng Wei

18 papers receiving 401 citations

Peers

Cheng Wei
Comparison fields: 5 of 57
  • Cancer Research 180
  • Molecular Biology 259
  • Cell Biology 44
  • Genetics 22
  • Oncology 40
Replace Tianshi Que with:
Tianshi Que China
Zongmei Ding China
Xianting Huang China
Shunsuke Ebara Japan
Liyun Luo China
Qi Lv China
Haijuan Fu China
Mohammad Ahmad United States
Hehui Fang China
Qionghua Zhu China
Cheng Wei relative to Tianshi Que China Tianshi Que's profile →
Citations per field
00.5×1.5×2.2×
Tianshi Que · 1×
Citations per year

Countries citing papers authored by Cheng Wei

Since Specialization
Citations

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

Fields of papers citing papers by Cheng Wei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

18 of 18 papers shown
#Work
1 201974
2 202274
3 201847
4 202143
5 202229
6 202126
7 202225
8 202022
9 202215
10 202210
11 202110
12 20249
13 20248
14 20226
15 20242
16 20242
17 20251
18 20251

About Cheng Wei

Cheng Wei is a scholar working on Molecular Biology, Cancer Research, Genetics, Pathology and Forensic Medicine and Pulmonary and Respiratory Medicine, having authored 18 papers that have together received 404 indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (5 papers), Circular RNAs in diseases (3 papers), RNA Research and Splicing (2 papers), Ferroptosis and cancer prognosis (2 papers), Cancer Mechanisms and Therapy (2 papers), Microtubule and mitosis dynamics (2 papers), RNA modifications and cancer (2 papers) and Glioma Diagnosis and Treatment (2 papers). The work is most often cited by research in Cancer Research (180 citations), Molecular Biology (259 citations), Cell Biology (44 citations), Genetics (22 citations) and Oncology (40 citations). Cheng Wei has collaborated with scholars based in China and United States. Frequent co-authors include Lei Han, Hao Liang, Xiaoyang Zhang, Lin Luo, Shenghui Li, Xiaoyang Zhang, Zhenyu Zhang, Yingwei Zhen, Ze‐Sheng Li and Yingjie He. Their work appears in journals such as Cell Death and Disease, Frontiers in Oncology, Frontiers in Immunology, Frontiers in Bioengineering and Biotechnology and Cancer Letters.

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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