Wei Wen

497 citations
25 papers · 359 · h-index 11

Impact in

    • Cancer-related molecular mechanisms research
    • MicroRNA in disease regulation
    • Inflammatory Biomarkers in Disease Prognosis

Papers in

Wei Wen

21 papers receiving 357 citations

Peers

Wei Wen
Comparison fields: 5 of 57
  • Cancer Research 97
  • Oncology 78
  • Hepatology 22
  • Molecular Biology 154
  • Genetics 19
Replace Xianli He with:
Xianli He China
Hsuan-Heng Yeh Taiwan
Xuanfu Xu China
Shaveta Mehta United Kingdom
Nicola Inzerilli Italy
Xiaojie Gan China
Ram C. Shankaraiah Italy
Masumi Yoshie Japan
Song Wei China
Byul A Jee South Korea
Wei Wen relative to Xianli He China Xianli He's profile →
Citations per field
00.5×4.4×
Xianli He · 1×
Citations per year

Countries citing papers authored by Wei Wen

Since Specialization
Citations

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

Fields of papers citing papers by Wei Wen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201871
2 201049
3 201942
4 201727
5 202226
6 201722
7 201920
8
Estimating the costs of esophageal cancer screening, early diagnosis and treatment in three high risk areas in China.
201120
9 201617
10 202414
11 202211
12 20229
13 20168
14 20227
15 20234
16 20243
17 20173
18 20113
19 20251
20
[The affect of Si-Rac1b on the malignant biological behaviors of colorectal cancer cell].
20111

About Wei Wen

Wei Wen is a scholar working on Molecular Biology, Oncology, Pulmonary and Respiratory Medicine, Surgery and Genetics, having authored 25 papers that have together received 359 indexed citations. Recurring topics across this work include Liver physiology and pathology (2 papers), Cancer Cells and Metastasis (2 papers), Thyroid Cancer Diagnosis and Treatment (2 papers), Esophageal Cancer Research and Treatment (2 papers), Cancer Research and Treatments (2 papers), Mesenchymal stem cell research (2 papers), Gastric Cancer Management and Outcomes (2 papers) and RNA modifications and cancer (2 papers). The work is most often cited by research in Cancer Research (97 citations), Oncology (78 citations), Hepatology (22 citations), Molecular Biology (154 citations) and Genetics (19 citations). Wei Wen has collaborated with scholars based in China, Philippines and United States. Frequent co-authors include Ying Zhu, Xiaoli Zhang, Xiuqin Zhang, Rui‐Ping Xiao, Kui Liu, Ye Yuan, Miao Xu, Wei Hu, Yi Zhao and Peiqing Zhao. Their work appears in journals such as Frontiers in Oncology, Biochemical and Biophysical Research Communications, Journal of the American College of Surgeons, International Immunopharmacology and Cancer Biomarkers.

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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