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 4
- Metabolomics and Mass Spectrometry Studies 3
- RNA modifications and cancer 3
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- MicroRNA in disease regulation 3
- Cancer-related molecular mechanisms research 3
- Co-authors
- Xingyin Liu (5 shared papers)Desi Shang (5 shared papers)Yuyu Xu (3 shared papers)Yanan Jiang (4 shared papers)Yanjun Xu (3 shared papers)Chunlong Zhang (3 shared papers)Yunpeng Zhang (2 shared papers)Xuemei Zhang (1 shared paper)
- Journals
- Gut Microbes (1 paper)Frontiers in Oncology (1 paper)Human Vaccines & Immunotherapeutics (1 paper)Aging (1 paper)Quality and Reliability Engineering International (1 paper)
- Partner nations
- ChinaSouth KoreaSingapore
In The Last Decade
Kai Mi
16 papers receiving 205 citations
Peers
Comparison fields: 5 of 76
- Biological Psychiatry 10
- Cancer Research 59
- Molecular Biology 142
- Statistics, Probability and Uncertainty 9
- Infectious Diseases 20
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 | 53 | |
| 2 | 2019 | 41 | |
| 3 | 2021 | 26 | |
| 4 | 2020 | 16 | |
| 5 | 2013 | 14 | |
| 6 | 2020 | 12 | |
| 7 | 2021 | 12 | |
| 8 | 2019 | 8 | |
| 9 | 2023 | 7 | |
| 10 | 2021 | 6 | |
| 11 | 2011 | 6 | |
| 12 | 2021 | 2 | |
| 13 | 2011 | 2 | |
| 14 | 2025 | 1 | |
| 15 | 2011 | 1 | |
| 16 | 2009 | 1 |
About Kai Mi
Kai Mi is a scholar working on Molecular Biology, Cancer Research, Statistics, Probability and Uncertainty, Infectious Diseases and Biological Psychiatry, having authored 16 papers that have together received 208 indexed citations. Recurring topics across this work include Gut microbiota and health (4 papers), MicroRNA in disease regulation (3 papers), Advanced Statistical Process Monitoring (3 papers), Cancer-related molecular mechanisms research (3 papers), Metabolomics and Mass Spectrometry Studies (3 papers), RNA modifications and cancer (3 papers), Advanced Statistical Methods and Models (2 papers) and Tryptophan and brain disorders (2 papers). The work is most often cited by research in Biological Psychiatry (10 citations), Cancer Research (59 citations), Molecular Biology (142 citations), Statistics, Probability and Uncertainty (9 citations) and Infectious Diseases (20 citations). Kai Mi has collaborated with scholars based in China, South Korea and Singapore. Frequent co-authors include Xingyin Liu, Desi Shang, Yuyu Xu, Yanan Jiang, Yanjun Xu, Chunlong Zhang, Yunpeng Zhang, Xuemei Zhang, Haixiu Yang and Jingjing Wang. Their work appears in journals such as Gut Microbes, Frontiers in Oncology, Human Vaccines & Immunotherapeutics, Aging and Quality and Reliability Engineering 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.