Ming Shi
Impact in
- Cancer Research top 10%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
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- Circular RNAs in diseases
- RNA modifications and cancer
- RNA Research and Splicing
- Epigenetics and DNA Methylation
- RNA Interference and Gene Delivery
Papers in
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- MicroRNA in disease regulation 8
- Cancer-related molecular mechanisms research 6
- Protease and Inhibitor Mechanisms 2
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- Circular RNAs in diseases 5
- RNA modifications and cancer 3
- RNA Research and Splicing 3
- Co-authors
- Ning Guo (6 shared papers)Dan Liu (3 shared papers)Beifen Shen (4 shared papers)Huijun Duan (1 shared paper)Meiru Hu (3 shared papers)Qian Lü (3 shared papers)Lun Song (2 shared papers)Ming Yu (1 shared paper)
- Journals
- Nature Methods (1 paper)Biochimica et Biophysica Acta (BBA) - Reviews on Cancer (1 paper)Biomaterials (1 paper)Molecular and Cellular Biochemistry (1 paper)Science Bulletin (1 paper)
- Partner nations
- ChinaUnited StatesEthiopia
In The Last Decade
Ming Shi
14 papers receiving 371 citations
Peers
Comparison fields: 5 of 62
- Cancer Research 210
- Molecular Biology 248
- Oncology 59
- Geriatrics and Gerontology 4
- Psychiatry and Mental health 17
Countries citing papers authored by Ming Shi
This map shows the geographic impact of Ming Shi'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 Shi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ming Shi more than expected).
Fields of papers citing papers by Ming Shi
This network shows the impact of papers produced by Ming Shi. 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 Shi. The network helps show where Ming Shi may publish in the future.
Co-authors
The 25 scholars most cited alongside Ming Shi, 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 | 2010 | 89 | |
| 2 | 2009 | 78 | |
| 3 | 2012 | 69 | |
| 4 | 2008 | 29 | |
| 5 | 2024 | 26 | |
| 6 | 2016 | 24 | |
| 7 | 2025 | 14 | |
| 8 | 2008 | 11 | |
| 9 | 2009 | 9 | |
| 10 | 2016 | 8 | |
| 11 | 2021 | 8 | |
| 12 | 2021 | 4 | |
| 13 | 2019 | 3 | |
| 14 | 2024 | 2 | |
| 15 | 2025 | 0 |
About Ming Shi
Ming Shi is a scholar working on Cancer Research, Molecular Biology, Oncology, Immunology and Allergy and Biomaterials, having authored 15 papers that have together received 374 indexed citations. Recurring topics across this work include MicroRNA in disease regulation (8 papers), Cancer-related molecular mechanisms research (6 papers), Circular RNAs in diseases (5 papers), RNA modifications and cancer (3 papers), RNA Research and Splicing (3 papers), Cell Adhesion Molecules Research (2 papers), Protease and Inhibitor Mechanisms (2 papers) and Nanoplatforms for cancer theranostics (1 paper). The work is most often cited by research in Cancer Research (210 citations), Molecular Biology (248 citations), Oncology (59 citations), Geriatrics and Gerontology (4 citations) and Psychiatry and Mental health (17 citations). Ming Shi has collaborated with scholars based in China, United States and Ethiopia. Frequent co-authors include Ning Guo, Dan Liu, Beifen Shen, Huijun Duan, Meiru Hu, Qian Lü, Lun Song, Ming Yu, Liang Guo and Lina Wang. Their work appears in journals such as Nature Methods, Biochimica et Biophysica Acta (BBA) - Reviews on Cancer, Biomaterials, Molecular and Cellular Biochemistry and Science Bulletin.
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.