Ming Mu
Impact in
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- Immune cells in cancer
- Immune Cell Function and Interaction
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- Gold and Silver Nanoparticles Synthesis and Applications
Papers in
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- Advanced Nanomaterials in Catalysis 6
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- Electrochemical sensors and biosensors 3
- Co-authors
- Bing Zhao (8 shared papers)Wei Song (9 shared papers)Dong‐Ming Kuang (3 shared papers)Sisi Wen (5 shared papers)Wei Yuan (2 shared papers)Xiang‐Ming Lao (2 shared papers)Limin Zheng (2 shared papers)Dong‐Ping Chen (2 shared papers)
- Journals
- Sensors and Actuators B Chemical (2 papers)Advanced Optical Materials (1 paper)Materials Today Chemistry (1 paper)TrAC Trends in Analytical Chemistry (1 paper)Biosensors and Bioelectronics (1 paper)
- Partner nations
- ChinaJapanUnited States
In The Last Decade
Ming Mu
14 papers receiving 380 citations
Peers
Comparison fields: 5 of 64
- Immunology 86
- Electronic, Optical and Magnetic Materials 57
- Renewable Energy, Sustainability and the Environment 43
- Oncology 62
- Materials Chemistry 115
Countries citing papers authored by Ming Mu
This map shows the geographic impact of Ming Mu'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 Mu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ming Mu more than expected).
Fields of papers citing papers by Ming Mu
This network shows the impact of papers produced by Ming Mu. 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 Mu. The network helps show where Ming Mu may publish in the future.
Co-authors
The 25 scholars most cited alongside Ming Mu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 93 | |
| 2 | 2021 | 53 | |
| 3 | 2022 | 47 | |
| 4 | 2022 | 38 | |
| 5 | 2022 | 38 | |
| 6 | 2024 | 35 | |
| 7 | 2024 | 17 | |
| 8 | 2017 | 16 | |
| 9 | 2024 | 12 | |
| 10 | 2021 | 10 | |
| 11 | 2024 | 9 | |
| 12 | 2022 | 8 | |
| 13 | 2024 | 7 | |
| 14 | 2025 | 3 | |
| 15 | Synthesis and Characterization of Mesoporous Silica Vesicles Using Cationic-anionic Binary Surfactant as Template | 2013 | 0 |
| 16 | 2025 | 0 | |
| 17 | 2025 | 0 |
About Ming Mu
Ming Mu is a scholar working on Materials Chemistry, Electrical and Electronic Engineering, Renewable Energy, Sustainability and the Environment, Immunology and Electronic, Optical and Magnetic Materials, having authored 17 papers that have together received 386 indexed citations. Recurring topics across this work include Advanced Nanomaterials in Catalysis (6 papers), Advanced Photocatalysis Techniques (4 papers), Electrochemical sensors and biosensors (3 papers), Gold and Silver Nanoparticles Synthesis and Applications (3 papers), Cancer Immunotherapy and Biomarkers (2 papers), Immune Cell Function and Interaction (2 papers), Immune cells in cancer (2 papers) and Laser-Ablation Synthesis of Nanoparticles (2 papers). The work is most often cited by research in Immunology (86 citations), Electronic, Optical and Magnetic Materials (57 citations), Renewable Energy, Sustainability and the Environment (43 citations), Oncology (62 citations) and Materials Chemistry (115 citations). Ming Mu has collaborated with scholars based in China, Japan and United States. Frequent co-authors include Bing Zhao, Wei Song, Dong‐Ming Kuang, Sisi Wen, Wei Yuan, Xiang‐Ming Lao, Limin Zheng, Dong‐Ping Chen, Chun-Xiang Huang and Qiyi Zhao. Their work appears in journals such as Sensors and Actuators B Chemical, Advanced Optical Materials, Materials Today Chemistry, TrAC Trends in Analytical Chemistry and Biosensors and Bioelectronics.
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.