Kai Mo

1.4k total citations
30 papers, 983 citations indexed

About

Kai Mo is a scholar working on Physiology, Cellular and Molecular Neuroscience and Molecular Biology. According to data from OpenAlex, Kai Mo has authored 30 papers receiving a total of 983 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Physiology, 9 papers in Cellular and Molecular Neuroscience and 8 papers in Molecular Biology. Recurrent topics in Kai Mo's work include Pain Mechanisms and Treatments (12 papers), Nerve injury and regeneration (6 papers) and Hereditary Neurological Disorders (4 papers). Kai Mo is often cited by papers focused on Pain Mechanisms and Treatments (12 papers), Nerve injury and regeneration (6 papers) and Hereditary Neurological Disorders (4 papers). Kai Mo collaborates with scholars based in China, United States and Netherlands. Kai Mo's 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 and has published in prestigious journals such as Nature Communications, Journal of Neuroscience and Scientific Reports.

In The Last Decade

Kai Mo

29 papers receiving 976 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Kai Mo China 18 552 371 317 106 89 30 983
Amandine Magnaudeix France 15 527 1.0× 431 1.2× 173 0.5× 208 2.0× 71 0.8× 27 1.3k
Guiqin Zhang China 10 223 0.4× 389 1.0× 297 0.9× 55 0.5× 116 1.3× 21 1.3k
Stéphane Lolignier France 16 490 0.9× 473 1.3× 281 0.9× 60 0.6× 101 1.1× 20 922
Jiwan Woo South Korea 16 195 0.4× 319 0.9× 341 1.1× 48 0.5× 43 0.5× 33 914
Tianbai Li China 19 215 0.4× 352 0.9× 172 0.5× 52 0.5× 259 2.9× 44 1.0k
Evan B. Stubbs United States 20 152 0.3× 376 1.0× 281 0.9× 42 0.4× 167 1.9× 52 925
Christopher Sliwinski Germany 7 498 0.9× 702 1.9× 547 1.7× 123 1.2× 100 1.1× 8 1.6k
Arnau Hervera Spain 19 411 0.7× 644 1.7× 412 1.3× 155 1.5× 81 0.9× 34 1.2k
Ruhui Lin China 21 166 0.3× 331 0.9× 146 0.5× 117 1.1× 98 1.1× 44 1.2k

Countries citing papers authored by Kai Mo

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of Kai Mo

This figure shows the co-authorship network connecting the top 25 collaborators of Kai Mo. A scholar is included among the top collaborators of Kai Mo based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Kai Mo. Kai Mo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
An, Taixue, et al.. (2025). An amplification-free digital droplet assay for influenza A viral RNA based on CRISPR/Cas13a. The Analyst. 150(6). 1151–1157. 3 indexed citations
2.
3.
Xu, Haiyan, Qinglan Tang, Kai Fan, et al.. (2025). Microbiome-metabolome correlations across vertical stratification in Jiupei of strong-flavored baijiu fermentation. Food Research International. 212. 116395–116395. 2 indexed citations
4.
Mo, Kai, et al.. (2024). Risk factors for linezolid - induced haematological toxicity in patients: a retrospective study. The Journal of Infection in Developing Countries. 18(8). 1258–1264. 1 indexed citations
5.
Li, Zhiyuan, Yong Wang, Jing Wang, et al.. (2024). Gradient-porous-structured Ni-rich layered oxide cathodes with high specific energy and cycle stability for lithium-ion batteries. Nature Communications. 15(1). 10216–10216. 32 indexed citations
6.
Cao, Wen, Jinfeng Pan, Kai Mo, et al.. (2023). Effects of gene silencing of indoleamine 2,3-dioxygenase 1 combined with rosmarinic acid on tumor immune microenvironment in H22 tumor-bearing mice. International Immunopharmacology. 119. 110193–110193. 4 indexed citations
7.
Mo, Kai, et al.. (2022). Application Value of Machine Learning Method in Measuring Gray Matter Volume of AIDS Patients. Disease Markers. 2022. 1–7. 1 indexed citations
8.
Qin, Kunming, et al.. (2021). Microscopic anatomical atlas study on the lateral ventricles of the rabbit cerebrum and its related structures. Translational Research in Anatomy. 25. 100140–100140. 1 indexed citations
9.
Li, Yize, Xinying Guo, Linlin Sun, et al.. (2020). N6‐Methyladenosine Demethylase FTO Contributes to Neuropathic Pain by Stabilizing G9a Expression in Primary Sensory Neurons. Advanced Science. 7(13). 72 indexed citations
10.
Wang, Wei, Zili Ren, Hao Liu, et al.. (2019). Discovery of Novel Triazole-Containing Pyrazole Ester Derivatives as Potential Antibacterial Agents. Molecules. 24(7). 1311–1311. 23 indexed citations
11.
Mo, Kai, Shaogen Wu, Xiyao Gu, et al.. (2018). MBD1 Contributes to the Genesis of Acute Pain and Neuropathic Pain by Epigenetic Silencing ofOprm1andKcna2Genes in Primary Sensory Neurons. Journal of Neuroscience. 38(46). 9883–9899. 42 indexed citations
12.
Mo, Kai, Huali Xu, Yongwei Wang, et al.. (2018). Dorsal Root Ganglia Coactivator-associated Arginine Methyltransferase 1 Contributes to Peripheral Nerve Injury-induced Pain Hypersensitivities. Neuroscience. 394. 232–242. 9 indexed citations
13.
Zhao, Jian‐Yuan, Lingli Liang, Xiyao Gu, et al.. (2017). DNA methyltransferase DNMT3a contributes to neuropathic pain by repressing Kcna2 in primary afferent neurons. Nature Communications. 8(1). 14712–14712. 153 indexed citations
14.
Li, Zhisong, Yuanyuan Mao, Lingli Liang, et al.. (2017). The transcription factor C/EBPβ in the dorsal root ganglion contributes to peripheral nerve trauma–induced nociceptive hypersensitivity. Science Signaling. 10(487). 55 indexed citations
15.
Sun, Linlin, Jian‐Yuan Zhao, Xiyao Gu, et al.. (2017). Nerve injury–induced epigenetic silencing of opioid receptors controlled by DNMT3a in primary afferent neurons. Pain. 158(6). 1153–1165. 71 indexed citations
16.
Xu, Bo, Jing Cao, Jun Zhang, et al.. (2017). Role of MicroRNA-143 in Nerve Injury-Induced Upregulation of Dnmt3a Expression in Primary Sensory Neurons. Frontiers in Molecular Neuroscience. 10. 350–350. 30 indexed citations
17.
Liang, Lingli, Xiyao Gu, Jian‐Yuan Zhao, et al.. (2016). G9a participates in nerve injury-induced Kcna2 downregulation in primary sensory neurons. Scientific Reports. 6(1). 37704–37704. 75 indexed citations
18.
Lv, Xianhai, Zili Ren, Qingshan Li, et al.. (2016). Discovery of N-(benzyloxy)-1,3-diphenyl-1H-pyrazole-4-carboxamide derivatives as potential antiproliferative agents by inhibiting MEK. Bioorganic & Medicinal Chemistry. 24(19). 4652–4659. 23 indexed citations
19.
Wu, Shaogen, Brianna Marie Lutz, Xuerong Miao, et al.. (2016). Dorsal root ganglion transcriptome analysis following peripheral nerve injury in mice. Molecular Pain. 12. 81 indexed citations
20.
Tu, Weifeng, et al.. (2015). Effect of preemptive local injection of ropivocaine with dexmedetomidine on mirror pain in rats and its mechanism. Asian Pacific Journal of Tropical Medicine. 8(10). 836–840. 3 indexed citations

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.

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