Mingcheng Cai
Impact in
- Cancer Research top 10%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
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- Milk Quality and Mastitis in Dairy Cows
Papers in
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- Cancer-related molecular mechanisms research 7
- MicroRNA in disease regulation 5
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- Circular RNAs in diseases 2
- RNA Research and Splicing 2
- Extracellular vesicles in disease 2
- Muscle Physiology and Disorders 2
- Co-authors
- Yu Shi (12 shared papers)Xianbo Jia (12 shared papers)Shiyi Chen (9 shared papers)Wudian Xiao (6 shared papers)Songjia Lai (12 shared papers)Jie Wang (6 shared papers)Shenqiang Hu (7 shared papers)Songjia Lai (2 shared papers)
- Journals
- Frontiers in Veterinary Science (2 papers)Cell Stress and Chaperones (2 papers)In Vitro Cellular & Developmental Biology - Animal (2 papers)Functional & Integrative Genomics (2 papers)Animals (1 paper)
- Partner nations
- ChinaUnited States
In The Last Decade
Mingcheng Cai
21 papers receiving 309 citations
Peers
Comparison fields: 5 of 80
- Cancer Research 142
- Agronomy and Crop Science 31
- Molecular Biology 178
- Immunology 39
- Animal Science and Zoology 16
Countries citing papers authored by Mingcheng Cai
This map shows the geographic impact of Mingcheng Cai'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 Mingcheng Cai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mingcheng Cai more than expected).
Fields of papers citing papers by Mingcheng Cai
This network shows the impact of papers produced by Mingcheng Cai. 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 Mingcheng Cai. The network helps show where Mingcheng Cai may publish in the future.
Co-authors
The 25 scholars most cited alongside Mingcheng Cai, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 87 | |
| 2 | 2020 | 42 | |
| 3 | 2018 | 40 | |
| 4 | 2018 | 22 | |
| 5 | 2018 | 18 | |
| 6 | 2021 | 17 | |
| 7 | 2017 | 16 | |
| 8 | 2020 | 14 | |
| 9 | 2021 | 11 | |
| 10 | 2023 | 7 | |
| 11 | 2021 | 7 | |
| 12 | 2024 | 5 | |
| 13 | 2025 | 5 | |
| 14 | 2021 | 4 | |
| 15 | 2022 | 4 | |
| 16 | 2019 | 3 | |
| 17 | 2017 | 3 | |
| 18 | 2018 | 3 | |
| 19 | 2023 | 3 | |
| 20 | 2018 | 1 |
About Mingcheng Cai
Mingcheng Cai is a scholar working on Cancer Research, Molecular Biology, Physiology, Immunology and Epidemiology, having authored 25 papers that have together received 314 indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (7 papers), MicroRNA in disease regulation (5 papers), Adipose Tissue and Metabolism (3 papers), Circular RNAs in diseases (2 papers), Reproductive System and Pregnancy (2 papers), RNA Research and Splicing (2 papers), Extracellular vesicles in disease (2 papers) and Muscle Physiology and Disorders (2 papers). The work is most often cited by research in Cancer Research (142 citations), Agronomy and Crop Science (31 citations), Molecular Biology (178 citations), Immunology (39 citations) and Animal Science and Zoology (16 citations). Mingcheng Cai has collaborated with scholars based in China and United States. Frequent co-authors include Yu Shi, Xianbo Jia, Shiyi Chen, Wudian Xiao, Songjia Lai, Jie Wang, Shenqiang Hu, Songjia Lai, Kun Du and Hongbing He. Their work appears in journals such as Frontiers in Veterinary Science, Cell Stress and Chaperones, In Vitro Cellular & Developmental Biology - Animal, Functional & Integrative Genomics and Animals.
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.