Kai Mi
Impact in
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- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
Papers in
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- Gut microbiota and health 5
- Metabolomics and Mass Spectrometry Studies 3
- RNA modifications and cancer 3
- RNA Research and Splicing 2
- Bioinformatics and Genomic Networks 2
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- Advanced Statistical Process Monitoring 3
- Scientific Measurement and Uncertainty Evaluation 2
- Co-authors
- Xingyin Liu (7 shared papers)Yuyu Xu (3 shared papers)Desi Shang (5 shared papers)Yanan Jiang (4 shared papers)Yang Liu (1 shared paper)Pei Yang (1 shared paper)Qingqing Zhang (1 shared paper)Jingjing Wang (1 shared paper)
- Journals
- Gut Microbes (1 paper)Frontiers in Bioengineering and Biotechnology (1 paper)Molecular Psychiatry (1 paper)Frontiers in Oncology (1 paper)Aging (1 paper)
- Partner nations
- ChinaSouth KoreaSingapore
In The Last Decade
Kai Mi
16 papers receiving 222 citations
Peers
Comparison fields: 5 of 79
- Cancer Research 50
- Biological Psychiatry 8
- Molecular Biology 140
- Statistics, Probability and Uncertainty 9
- Infectious Diseases 21
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 | 2022 | 59 | |
| 2 | 2019 | 41 | |
| 3 | 2021 | 28 | |
| 4 | 2020 | 16 | |
| 5 | 2013 | 15 | |
| 6 | 2020 | 13 | |
| 7 | 2021 | 12 | |
| 8 | 2021 | 9 | |
| 9 | 2023 | 8 | |
| 10 | 2019 | 8 | |
| 11 | 2011 | 6 | |
| 12 | 2021 | 4 | |
| 13 | 2025 | 2 | |
| 14 | 2011 | 2 | |
| 15 | 2011 | 1 | |
| 16 | 2009 | 1 | |
| 17 | 2026 | 0 | |
| 18 | 2024 | 0 |
About Kai Mi
Kai Mi is a scholar working on Molecular Biology, Statistics, Probability and Uncertainty, Cancer Research, Infectious Diseases and Biological Psychiatry, having authored 18 papers that have together received 225 indexed citations. Recurring topics across this work include Gut microbiota and health (5 papers), Metabolomics and Mass Spectrometry Studies (3 papers), Advanced Statistical Process Monitoring (3 papers), RNA modifications and cancer (3 papers), Scientific Measurement and Uncertainty Evaluation (2 papers), RNA Research and Splicing (2 papers), Bioinformatics and Genomic Networks (2 papers) and Tryptophan and brain disorders (2 papers). The work is most often cited by research in Cancer Research (50 citations), Biological Psychiatry (8 citations), Molecular Biology (140 citations), Statistics, Probability and Uncertainty (9 citations) and Infectious Diseases (21 citations). Kai Mi has collaborated with scholars based in China, South Korea and Singapore. Frequent co-authors include Xingyin Liu, Yuyu Xu, Desi Shang, Yanan Jiang, Yang Liu, Pei Yang, Qingqing Zhang, Jingjing Wang, Chunlong Zhang and Yipeng Wang. Their work appears in journals such as Gut Microbes, Frontiers in Bioengineering and Biotechnology, Molecular Psychiatry, Frontiers in Oncology and Aging.
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.