Muyun Wei

429 citations
25 papers · 275 · h-index 11

Impact in

    • Neutrophil, Myeloperoxidase and Oxidative Mechanisms
    • Immune cells in cancer
    • Reproductive System and Pregnancy
    • Pneumonia and Respiratory Infections
    • Respiratory viral infections research
    • Liver Disease Diagnosis and Treatment

Papers in

    • Signaling Pathways in Disease 3
    • Circular RNAs in diseases 2
    • Histone Deacetylase Inhibitors Research 2
    • Cancer Immunotherapy and Biomarkers 2

Muyun Wei

24 papers receiving 271 citations

Peers

Muyun Wei
Comparison fields: 5 of 67
  • Immunology 76
  • Epidemiology 75
  • Cancer Research 31
  • Oncology 53
  • Reproductive Medicine 16
Replace Shu Meng with:
Shu Meng United States
Inbal Shafran Austria
Harumi Saeki Japan
Jinwen Ding Canada
Alexandra Coumbos Germany
R. Krueger Australia
Maria Teresa Illeni Italy
Kelly M. Cheney Australia
William He Canada
Muyun Wei relative to Shu Meng United States Shu Meng's profile →
Citations per field
00.5×6.1×
Shu Meng · 1×
Citations per year

Countries citing papers authored by Muyun Wei

Since Specialization
Citations

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

Fields of papers citing papers by Muyun Wei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Muyun 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 Muyun Wei Line = papers co-authored together Muyun Wei 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 201851
2 202029
3 201826
4 201723
5 201819
6 202016
7 202415
8 202112
9 201912
10 202412
11 202410
12 202010
13 20218
14 20187
15 20175
16 20235
17 20223
18 20243
19 20232
20 20222

About Muyun Wei

Muyun Wei is a scholar working on Molecular Biology, Oncology, Cancer Research, Epidemiology and Immunology, having authored 25 papers that have together received 275 indexed citations. Recurring topics across this work include Pneumonia and Respiratory Infections (4 papers), Signaling Pathways in Disease (3 papers), Respiratory viral infections research (3 papers), MicroRNA in disease regulation (3 papers), Cancer-related molecular mechanisms research (3 papers), Circular RNAs in diseases (2 papers), Cancer Immunotherapy and Biomarkers (2 papers) and Histone Deacetylase Inhibitors Research (2 papers). The work is most often cited by research in Immunology (76 citations), Epidemiology (75 citations), Cancer Research (31 citations), Oncology (53 citations) and Reproductive Medicine (16 citations). Muyun Wei has collaborated with scholars based in China, South Korea and Thailand. Frequent co-authors include Yueran Zhao, Shengnan Hu, Huili Yan, Xiaowen Liu, Shuangshuang Li, Jing Dong, Shengying Qin, Min Li, Jing Dong and Yulian Jiao. Their work appears in journals such as Scientific Reports, Cell Death and Disease, Annals of Clinical Microbiology and Antimicrobials, Frontiers in Immunology and BMC Cancer.

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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