Kai Mi
Impact in
-
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
Papers in
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- Cancer-related molecular mechanisms research 3
- MicroRNA in disease regulation 2
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- Advanced Statistical Process Monitoring 3
- Co-authors
- Xingyin Liu (9 shared papers)Yuyu Xu (3 shared papers)Desi Shang (5 shared papers)Qingqing Zhang (2 shared papers)Jingjing Wang (2 shared papers)Xuemei Zhang (2 shared papers)Zhi Liu (3 shared papers)Pei Yang (1 shared paper)
- Journals
- Molecular Biology and Evolution (1 paper)Journal of Cellular and Molecular Medicine (1 paper)Molecular Therapy — Nucleic Acids (1 paper)Frontiers in Bioengineering and Biotechnology (1 paper)Cell Reports Medicine (1 paper)
- Partner nations
- ChinaUnited States
In The Last Decade
Kai Mi
19 papers receiving 330 citations
Peers
Comparison fields: 5 of 63
- Aging 6
- Cancer Research 46
- Molecular Biology 182
- Statistics, Probability and Uncertainty 10
- Cognitive Neuroscience 22
Countries citing papers authored by Kai Mi
This map shows the geographic impact of Kai 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 Kai Mi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kai Mi more than expected).
Fields of papers citing papers by Kai Mi
This network shows the impact of papers produced by Kai 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 Kai Mi. The network helps show where Kai Mi may publish in the future.
Co-authors
The 25 scholars most cited alongside Kai 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 | 2021 | 80 | |
| 2 | 2022 | 70 | |
| 3 | 2019 | 43 | |
| 4 | 2021 | 33 | |
| 5 | 2020 | 15 | |
| 6 | 2023 | 14 | |
| 7 | 2020 | 13 | |
| 8 | 2021 | 12 | |
| 9 | 2021 | 11 | |
| 10 | 2011 | 8 | |
| 11 | 2019 | 8 | |
| 12 | 2023 | 8 | |
| 13 | 2023 | 5 | |
| 14 | 2021 | 4 | |
| 15 | 2025 | 3 | |
| 16 | 2025 | 2 | |
| 17 | 2009 | 1 | |
| 18 | 2011 | 1 | |
| 19 | 2026 | 1 | |
| 20 | 2024 | 0 |
About Kai Mi
Kai Mi is a scholar working on Cancer Research, Statistics, Probability and Uncertainty, Molecular Biology, Cognitive Neuroscience and Pharmacology, having authored 20 papers that have together received 332 indexed citations. Recurring topics across this work include Gut microbiota and health (7 papers), Advanced Statistical Process Monitoring (3 papers), Cancer-related molecular mechanisms research (3 papers), MicroRNA in disease regulation (2 papers), Genomics and Phylogenetic Studies (2 papers), Autism Spectrum Disorder Research (2 papers), Proteoglycans and glycosaminoglycans research (1 paper) and Cancer Immunotherapy and Biomarkers (1 paper). The work is most often cited by research in Aging (6 citations), Cancer Research (46 citations), Molecular Biology (182 citations), Statistics, Probability and Uncertainty (10 citations) and Cognitive Neuroscience (22 citations). Kai Mi has collaborated with scholars based in China and United States. Frequent co-authors include Xingyin Liu, Yuyu Xu, Desi Shang, Qingqing Zhang, Jingjing Wang, Xuemei Zhang, Zhi Liu, Pei Yang, Guozhong Ji and Yipeng Wang. Their work appears in journals such as Molecular Biology and Evolution, Journal of Cellular and Molecular Medicine, Molecular Therapy — Nucleic Acids, Frontiers in Bioengineering and Biotechnology and Cell Reports Medicine.
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.