Ting Mu
Impact in
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- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
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- Hepatitis C virus research
Papers in
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- Circular RNAs in diseases 2
- RNA modifications and cancer 2
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- Hepatitis B Virus Studies 3
- Co-authors
- Hua Tang (3 shared papers)Hongxia Fan (2 shared papers)Hong Xie (2 shared papers)Min Liu (2 shared papers)Yanan Zhu (1 shared paper)Lu Sun (1 shared paper)Chaoqun Ma (1 shared paper)Xiaoqing Zhao (1 shared paper)
- Journals
- Vaccines (2 papers)Cancer Letters (1 paper)Frontiers in Cellular and Infection Microbiology (1 paper)Journal of Assisted Reproduction and Genetics (1 paper)Journal of Cancer (1 paper)
- Partner nations
- ChinaUnited StatesPhilippines
In The Last Decade
Ting Mu
20 papers receiving 296 citations
Peers
Comparison fields: 5 of 62
- Cancer Research 88
- Hepatology 38
- Immunology 46
- Epidemiology 68
- Molecular Biology 134
Countries citing papers authored by Ting Mu
This map shows the geographic impact of Ting 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 Ting Mu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ting Mu more than expected).
Fields of papers citing papers by Ting Mu
This network shows the impact of papers produced by Ting 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 Ting Mu. The network helps show where Ting Mu may publish in the future.
Co-authors
The 25 scholars most cited alongside Ting 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 | 72 | |
| 2 | 2018 | 60 | |
| 3 | 2020 | 46 | |
| 4 | 2020 | 31 | |
| 5 | 2019 | 26 | |
| 6 | 2016 | 16 | |
| 7 | 2020 | 10 | |
| 8 | 2019 | 9 | |
| 9 | 2022 | 5 | |
| 10 | A Theoretical Study on the Stereoisomerism in the Complex of Cucurbit[8]uril with 2, 6-Bis(4, 5-dihydro-1H-imidazol-2-yl)naphthalene | 2001 | 5 |
| 11 | 2023 | 4 | |
| 12 | 2022 | 3 | |
| 13 | 2008 | 3 | |
| 14 | 2020 | 2 | |
| 15 | 2023 | 1 | |
| 16 | 2024 | 1 | |
| 17 | 2008 | 1 | |
| 18 | A Molecular Modeling for the Complexation of Cyclobis(paraquat-p-phenylene) with Substituted Benzenes and Biphenyls | 2000 | 1 |
| 19 | 2025 | 1 | |
| 20 | 2021 | 1 |
About Ting Mu
Ting Mu is a scholar working on Molecular Biology, Epidemiology, Organic Chemistry, Cancer Research and Materials Chemistry, having authored 20 papers that have together received 298 indexed citations. Recurring topics across this work include Hepatitis B Virus Studies (3 papers), Carbon and Quantum Dots Applications (3 papers), Circular RNAs in diseases (2 papers), Dendrimers and Hyperbranched Polymers (2 papers), SARS-CoV-2 and COVID-19 Research (2 papers), MicroRNA in disease regulation (2 papers), RNA modifications and cancer (2 papers) and Algebraic structures and combinatorial models (1 paper). The work is most often cited by research in Cancer Research (88 citations), Hepatology (38 citations), Immunology (46 citations), Epidemiology (68 citations) and Molecular Biology (134 citations). Ting Mu has collaborated with scholars based in China, United States and Philippines. Frequent co-authors include Hua Tang, Hongxia Fan, Hong Xie, Min Liu, Yanan Zhu, Lu Sun, Chaoqun Ma, Xiaoqing Zhao, Xiaoqing Zhao and Yankun Liu. Their work appears in journals such as Vaccines, Cancer Letters, Frontiers in Cellular and Infection Microbiology, Journal of Assisted Reproduction and Genetics and Journal of 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.