Kai Mo
Impact in
- Physiology top 5%
- Pain Mechanisms and Treatments
-
- Nerve injury and regeneration
- Hereditary Neurological Disorders
- Neuropeptides and Animal Physiology
Papers in
-
- Nerve injury and regeneration 6
- Hereditary Neurological Disorders 4
- Physiology 12
- Pain Mechanisms and Treatments 12
- Co-authors
- Yuan‐Xiang TaoShaogen WuAlex BekkerLingli LiangXiyao GuBrianna Marie LutzLinlin SunJian‐Yuan Zhao
- Journals
- Nature Communications (2 papers)Journal of Neuroscience (2 papers)Pain (2 papers)Molecular Pain (2 papers)Scientific Reports (1 paper)
- Partner nations
- ChinaUnited StatesNetherlands
In The Last Decade
Kai Mo
29 papers receiving 976 citations
Peers
Comparison fields: 5 of 104
- Physiology 552
- Cellular and Molecular Neuroscience 317
- Anesthesiology and Pain Medicine 44
- Pharmacology 106
- Pharmacology 54
Countries citing papers authored by Kai Mo
This map shows the geographic impact of Kai Mo'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 Mo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kai Mo more than expected).
Fields of papers citing papers by Kai Mo
This network shows the impact of papers produced by Kai Mo. 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 Mo. The network helps show where Kai Mo may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Kai Mo, 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 | 2025 | 3 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 2 | |
| 4 | 2024 | 32 | |
| 5 | 2024 | 1 | |
| 6 | 2023 | 4 | |
| 7 | 2022 | 1 | |
| 8 | 2021 | 1 | |
| 9 | 2020 | 72 | |
| 10 | 2019 | 23 | |
| 11 | 2019 | 64 | |
| 12 | 2018 | 9 | |
| 13 | 2018 | 42 | |
| 14 | 2017 | 153 | |
| 15 | 2017 | 55 | |
| 16 | 2017 | 30 | |
| 17 | 2017 | 71 | |
| 18 | 2016 | 75 | |
| 19 | 2016 | 23 | |
| 20 | 2015 | 3 |
About Kai Mo
Kai Mo is a scholar working on Cellular and Molecular Neuroscience, Physiology, Biological Psychiatry, Anesthesiology and Pain Medicine and Health Information Management, having authored 30 papers that have together received 983 indexed citations. Recurring topics across this work include Pain Mechanisms and Treatments (12 papers), Nerve injury and regeneration (6 papers), Hereditary Neurological Disorders (4 papers), Cancer-related gene regulation (3 papers), Pain Management and Opioid Use (2 papers), Botulinum Toxin and Related Neurological Disorders (2 papers), Advancements in Battery Materials (2 papers) and Advanced Battery Technologies Research (2 papers). The work is most often cited by research in Physiology (552 citations), Cellular and Molecular Neuroscience (317 citations), Anesthesiology and Pain Medicine (44 citations), Pharmacology (106 citations) and Pharmacology (54 citations). Kai Mo has collaborated with scholars based in China, United States and Netherlands. Frequent co-authors include Yuan‐Xiang Tao, Shaogen Wu, Alex Bekker, Lingli Liang, Xiyao Gu, Brianna Marie Lutz, Linlin Sun, Jian‐Yuan Zhao, Fidelis E. Atianjoh and Xuerong Miao. Their work appears in journals such as Nature Communications, Journal of Neuroscience, Pain, Molecular Pain and Scientific Reports.
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.