Bing Mu
Impact in
- Cancer Research top 5%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Biochemistry top 5%
- Phytochemicals and Antioxidant Activities
Papers in
-
- Fermentation and Sensory Analysis 3
- Food Quality and Safety Studies 2
-
- Carcinogens and Genotoxicity Assessment 2
- MicroRNA in disease regulation 2
- Co-authors
- Zhi Lin (3 shared papers)Weidong Dai (2 shared papers)Qincao Chen (2 shared papers)Haipeng Lv (2 shared papers)Yin Zhu (2 shared papers)Hanlin Gao (4 shared papers)Xiwei Wu (4 shared papers)Zhen Chen (1 shared paper)
- Journals
- Food Chemistry (3 papers)Nutrition and Cancer (1 paper)Foods (1 paper)Experimental and Molecular Pathology (1 paper)Molecular Medicine (1 paper)
- Partner nations
- ChinaUnited StatesTaiwan
In The Last Decade
Bing Mu
18 papers receiving 1.7k citations
Bing Mu's Hit Papers
Peers
Comparison fields: 5 of 120
- Cancer Research 476
- Biochemistry 179
- Pathology and Forensic Medicine 372
- Food Science 277
- Molecular Biology 873
Countries citing papers authored by Bing Mu
This map shows the geographic impact of Bing 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 Bing Mu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bing Mu more than expected).
Fields of papers citing papers by Bing Mu
This network shows the impact of papers produced by Bing 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 Bing Mu. The network helps show where Bing Mu may publish in the future.
Co-authors
The 25 scholars most cited alongside Bing 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 | A comprehensive assessment of RNA-seq accuracy, reproducibility and information content by the Sequencing Quality Control Consortium Hit paper breakdown → | 2014 | 740 |
| 2 | 2018 | 206 | |
| 3 | 2020 | 164 | |
| 4 | 2010 | 157 | |
| 5 | 2012 | 156 | |
| 6 | 2015 | 98 | |
| 7 | 2018 | 51 | |
| 8 | 1983 | 40 | |
| 9 | 2014 | 32 | |
| 10 | 2015 | 31 | |
| 11 | 2019 | 25 | |
| 12 | 2022 | 24 | |
| 13 | 1982 | 6 | |
| 14 | The effects of catechol on the urinary bladder of rats treated with N-butyl-N-(4-hydroxybutyl)nitrosamine. | 1985 | 5 |
| 15 | 2020 | 5 | |
| 16 | 2025 | 5 | |
| 17 | 1987 | 2 | |
| 18 | 2021 | 1 |
About Bing Mu
Bing Mu is a scholar working on Food Science, Cancer Research, Pathology and Forensic Medicine, Molecular Biology and Biological Psychiatry, having authored 18 papers that have together received 1.7k indexed citations. Recurring topics across this work include Tea Polyphenols and Effects (4 papers), Fermentation and Sensory Analysis (3 papers), Molecular Biology Techniques and Applications (2 papers), RNA modifications and cancer (2 papers), Carcinogens and Genotoxicity Assessment (2 papers), Food Quality and Safety Studies (2 papers), Renal and related cancers (2 papers) and MicroRNA in disease regulation (2 papers). The work is most often cited by research in Cancer Research (476 citations), Biochemistry (179 citations), Pathology and Forensic Medicine (372 citations), Food Science (277 citations) and Molecular Biology (873 citations). Bing Mu has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Zhi Lin, Weidong Dai, Qincao Chen, Haipeng Lv, Yin Zhu, Hanlin Gao, Xiwei Wu, Zhen Chen, Jiang Shi and Huiqing Wu. Their work appears in journals such as Food Chemistry, Nutrition and Cancer, Foods, Experimental and Molecular Pathology and Molecular Medicine.
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.