Ming Wei

2.3k citations
105 papers · 1.7k · h-index 24

Impact in

Papers in

    • RNA modifications and cancer 8
    • Epigenetics and DNA Methylation 4
    • Cancer-related molecular mechanisms research 8
    • MicroRNA in disease regulation 5

Ming Wei

98 papers receiving 1.7k citations

Peers

Ming Wei
Comparison fields: 5 of 156
  • Microbiology 51
  • Cancer Research 238
  • Oncology 274
  • Rheumatology 128
  • Molecular Biology 601
Replace Xiaochun Zhang with:
Xiaochun Zhang China
Zhiwen Luo China
Yaping Jiang China
Yuwei Li China
Yun Cao China
Haiying Chen China
Ping Kong China
Dong Kwan Kim South Korea
Pengfei Li China
Dongjun Lee South Korea
Ming Wei relative to Xiaochun Zhang China Xiaochun Zhang's profile →
Citations per field
00.5×1.5×1.8×
Xiaochun Zhang · 1×
Citations per year

Countries citing papers authored by Ming Wei

Since Specialization
Citations

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

Fields of papers citing papers by Ming Wei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 105 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013150
2 2015127
3 202173
4 201672
5 201963
6 202062
7 201848
8 201943
9 201642
10 202141
11 201940
12 201339
13 201637
14 202133
15 201333
16 201930
17 202229
18 201528
19 201627
20 201626

About Ming Wei

Ming Wei is a scholar working on Molecular Biology, Cancer Research, Immunology, Oncology and Genetics, having authored 105 papers that have together received 1.7k indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (8 papers), RNA modifications and cancer (8 papers), Actinomycetales infections and treatment (6 papers), MicroRNA in disease regulation (5 papers), Turbomachinery Performance and Optimization (5 papers), Epigenetics and DNA Methylation (4 papers), Cancer Mechanisms and Therapy (4 papers) and Infectious Diseases and Mycology (4 papers). The work is most often cited by research in Microbiology (51 citations), Cancer Research (238 citations), Oncology (274 citations), Rheumatology (128 citations) and Molecular Biology (601 citations). Ming Wei has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Xue‐yi You, Weihong Wen, Angang Yang, Zhangyan Guo, Zifan Lu, Gangcai Zhu, Shengjia Shi, Li She, Lijuan Wang and Guodong Wang. Their work appears in journals such as Biochemical and Biophysical Research Communications, BMC Anesthesiology, Oncology Reports, Journal of Cancer and Frontiers in Cellular and Infection Microbiology.

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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