Min Sha
Impact in
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
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- Natural Compounds in Disease Treatment
Papers in
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- Circular RNAs in diseases 3
- RNA modifications and cancer 3
- Metabolism, Diabetes, and Cancer 2
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- Cancer-related molecular mechanisms research 6
- MicroRNA in disease regulation 4
- Co-authors
- Junxing Huang (6 shared papers)Jun Ye (7 shared papers)Lixin Zhang (2 shared papers)Jun Ye (2 shared papers)Mei Lin (3 shared papers)Jie Xu (1 shared paper)Ning Xu (1 shared paper)Jia Wang (1 shared paper)
- Journals
- Cancer Cell International (2 papers)Diabetologia (2 papers)Pharmacology (1 paper)Discovery Medicine (1 paper)Cell Biology International (1 paper)
- Partner nations
- ChinaUnited KingdomUnited States
In The Last Decade
Min Sha
19 papers receiving 450 citations
Peers
Comparison fields: 5 of 69
- Cancer Research 206
- Complementary and alternative medicine 59
- Toxicology 16
- Molecular Biology 317
- Aging 3
Countries citing papers authored by Min Sha
This map shows the geographic impact of Min Sha'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 Min Sha with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Min Sha more than expected).
Fields of papers citing papers by Min Sha
This network shows the impact of papers produced by Min Sha. 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 Min Sha. The network helps show where Min Sha may publish in the future.
Co-authors
The 25 scholars most cited alongside Min Sha, 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 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 72 | |
| 2 | 2014 | 58 | |
| 3 | 2013 | 51 | |
| 4 | 2014 | 43 | |
| 5 | 2015 | 42 | |
| 6 | 2018 | 35 | |
| 7 | 2016 | 34 | |
| 8 | 2015 | 32 | |
| 9 | 2012 | 22 | |
| 10 | 2019 | 15 | |
| 11 | 2021 | 15 | |
| 12 | 2023 | 11 | |
| 13 | 2023 | 7 | |
| 14 | 2017 | 7 | |
| 15 | 2025 | 3 | |
| 16 | The balance between HGF and TGF-β1 acts as a switch in the tissue remodeling of chronic rhinosinusitis. | 2019 | 3 |
| 17 | 2017 | 3 | |
| 18 | 2024 | 1 | |
| 19 | 2025 | 1 | |
| 20 | 2026 | 0 |
About Min Sha
Min Sha is a scholar working on Molecular Biology, Cancer Research, Surgery, Pulmonary and Respiratory Medicine and Complementary and alternative medicine, having authored 21 papers that have together received 455 indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (6 papers), MicroRNA in disease regulation (4 papers), Natural Compounds in Disease Treatment (3 papers), Circular RNAs in diseases (3 papers), RNA modifications and cancer (3 papers), Pancreatic function and diabetes (2 papers), Metabolism, Diabetes, and Cancer (2 papers) and Ferroptosis and cancer prognosis (2 papers). The work is most often cited by research in Cancer Research (206 citations), Complementary and alternative medicine (59 citations), Toxicology (16 citations), Molecular Biology (317 citations) and Aging (3 citations). Min Sha has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Junxing Huang, Jun Ye, Lixin Zhang, Jun Ye, Mei Lin, Jie Xu, Ning Xu, Jia Wang, Hua Qian and Lixin Zhang. Their work appears in journals such as Cancer Cell International, Diabetologia, Pharmacology, Discovery Medicine and Cell Biology International.
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.