Shan Mi
Impact in
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
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- Immune cells in cancer
- Neutrophil, Myeloperoxidase and Oxidative Mechanisms
Papers in
-
- RNA modifications and cancer 4
- Epigenetics and DNA Methylation 2
- Circular RNAs in diseases 2
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- Ferroptosis and cancer prognosis 2
- Co-authors
- Shaoshan Hu (8 shared papers)Hang Ji (7 shared papers)Jianyang Du (6 shared papers)Ziwei Li (1 shared paper)Xiangqi Meng (1 shared paper)Jinquan Cai (1 shared paper)Caijun Zha (1 shared paper)Lulu Li (1 shared paper)
- Journals
- Journal of Cellular Biochemistry (1 paper)Redox Report (1 paper)Frontiers in Cell and Developmental Biology (1 paper)Cancer Biology and Medicine (1 paper)Frontiers in Immunology (1 paper)
- Partner nations
- China
In The Last Decade
Shan Mi
15 papers receiving 489 citations
Peers
Comparison fields: 5 of 75
- Cancer Research 170
- Immunology 151
- Fluid Flow and Transfer Processes 37
- Genetics 59
- Molecular Biology 262
Countries citing papers authored by Shan Mi
This map shows the geographic impact of Shan Mi'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 Shan Mi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shan Mi more than expected).
Fields of papers citing papers by Shan Mi
This network shows the impact of papers produced by Shan Mi. 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 Shan Mi. The network helps show where Shan Mi may publish in the future.
Co-authors
The 25 scholars most cited alongside Shan Mi, 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 | 2020 | 191 | |
| 2 | 2021 | 68 | |
| 3 | 2020 | 41 | |
| 4 | 2019 | 37 | |
| 5 | 2020 | 33 | |
| 6 | 2021 | 26 | |
| 7 | 2019 | 20 | |
| 8 | 2020 | 18 | |
| 9 | 2023 | 16 | |
| 10 | 2021 | 15 | |
| 11 | 2021 | 14 | |
| 12 | 2011 | 8 | |
| 13 | 2009 | 4 | |
| 14 | 2023 | 2 | |
| 15 | Stability Analysis on Strategy Alliance | 2000 | 1 |
About Shan Mi
Shan Mi is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Cancer Research, Oncology and Immunology, having authored 15 papers that have together received 494 indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (4 papers), RNA modifications and cancer (4 papers), MicroRNA in disease regulation (3 papers), Ferroptosis and cancer prognosis (2 papers), Epigenetics and DNA Methylation (2 papers), Circular RNAs in diseases (2 papers), Immune cells in cancer (2 papers) and Neutrophil, Myeloperoxidase and Oxidative Mechanisms (1 paper). The work is most often cited by research in Cancer Research (170 citations), Immunology (151 citations), Fluid Flow and Transfer Processes (37 citations), Genetics (59 citations) and Molecular Biology (262 citations). Shan Mi has collaborated with scholars based in China. Frequent co-authors include Shaoshan Hu, Hang Ji, Jianyang Du, Ziwei Li, Xiangqi Meng, Jinquan Cai, Caijun Zha, Lulu Li, Da Qian and Pengfei Wu. Their work appears in journals such as Journal of Cellular Biochemistry, Redox Report, Frontiers in Cell and Developmental Biology, Cancer Biology and Medicine and Frontiers in Immunology.
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.