Qing Wei

2.0k citations
57 papers · 1.5k indexed · h-index 18

Impact in

    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research
  • Nephrology top 5%
    • Gout, Hyperuricemia, Uric Acid

Papers in

Qing Wei

53 papers receiving 1.5k citations

Peers

Qing Wei
Comparison fields: 5 of 120
  • Cancer Research 325
  • Nephrology 105
  • Molecular Biology 898
  • Geriatrics and Gerontology 50
  • Immunology 252
Replace Weifeng Shen with:
Weifeng Shen China
Thomas Hock United States
Donatas Kraskauskas United States
Wei Yan China
Qingjun Pan China
Cheng Fan China
Qingchun Zeng China
Amie Traylor United States
Biao Zhang China
Ying Xiong China
Qing Wei relative to Weifeng Shen China Weifeng Shen's profile →
Citations per field
00.5×1.5×2.1×
Weifeng Shen · 1×
Citations per year

Countries citing papers authored by Qing Wei

Since Specialization
Citations

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

Fields of papers citing papers by Qing Wei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20251
2 20250
3 20215
4 202116
5 20216
6 202015
7 201914
8 20197
9 201977
10 201781
11 201732
12 2016168
13 2015116
14 201464
15 201492
16 201371
17 200830
18 200617
19 20049
20
PARTHENOLIDE INDUCES APOPTOSIS IN HUMAN NASOPHARYNGEAL CARCINOMA CNE1 CELL LINE VIA NON-CASPASE-ACTIVATION PATHWAY
20031

About Qing Wei

Qing Wei is a scholar working on Cancer Research, Health, Toxicology and Mutagenesis, Equine, Otorhinolaryngology and Physiology, having authored 57 papers that have together received 1.5k indexed citations. Recurring topics across this work include Heavy Metal Exposure and Toxicity (7 papers), MicroRNA in disease regulation (6 papers), Inflammasome and immune disorders (5 papers), Air Quality and Health Impacts (4 papers), Cancer-related molecular mechanisms research (4 papers), Autophagy in Disease and Therapy (4 papers), Circular RNAs in diseases (4 papers) and Carcinogens and Genotoxicity Assessment (3 papers). The work is most often cited by research in Cancer Research (325 citations), Nephrology (105 citations), Molecular Biology (898 citations), Geriatrics and Gerontology (50 citations) and Immunology (252 citations). Qing Wei has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Lihui Han, Tao Li, Pengbo Guo, Wanwan Huai, Wei Zhao, Kun Mu, Xiaoqing Jia, Ying Zhang, Zhaowen Yang and Junying Zhu. Their work appears in journals such as Scientific Reports, Laboratory Investigation, Annals of Palliative Medicine, Frontiers in Cell and Developmental Biology and Journal of Proteome Research.

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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