Jialin Mo

453 total citations
14 papers, 303 citations indexed

About

Jialin Mo is a scholar working on Molecular Biology, Neurology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Jialin Mo has authored 14 papers receiving a total of 303 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 5 papers in Neurology and 3 papers in Cellular and Molecular Neuroscience. Recurrent topics in Jialin Mo's work include Neuroinflammation and Neurodegeneration Mechanisms (5 papers), Hedgehog Signaling Pathway Studies (3 papers) and Epigenetics and DNA Methylation (3 papers). Jialin Mo is often cited by papers focused on Neuroinflammation and Neurodegeneration Mechanisms (5 papers), Hedgehog Signaling Pathway Studies (3 papers) and Epigenetics and DNA Methylation (3 papers). Jialin Mo collaborates with scholars based in China, United States and Thailand. Jialin Mo's co-authors include Feng‐Yan Sun, Zengwei Kou, Kunwei Wu, Shuwen Shen, Yu Zhang, Feng‐Yan Sun, Lingling Lv, Ping Yang, Qi Liu and Xianhua Chen and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Cancer Research and Oncogene.

In The Last Decade

Jialin Mo

14 papers receiving 301 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jialin Mo China 10 178 101 72 63 54 14 303
Clinton Cave United States 7 195 1.1× 62 0.6× 74 1.0× 130 2.1× 49 0.9× 8 328
Beata Kaza Poland 7 139 0.8× 95 0.9× 61 0.8× 42 0.7× 27 0.5× 10 308
Huanyu Gu China 9 217 1.2× 89 0.9× 39 0.5× 36 0.6× 107 2.0× 13 383
Afzhal R. Shaikh United States 11 249 1.4× 84 0.8× 91 1.3× 71 1.1× 28 0.5× 12 444
Diane Studzinski United States 12 148 0.8× 87 0.9× 71 1.0× 101 1.6× 29 0.5× 28 357
Anne Järve Germany 7 212 1.2× 39 0.4× 88 1.2× 55 0.9× 32 0.6× 12 360
Jason Charish Canada 12 240 1.3× 66 0.7× 129 1.8× 62 1.0× 64 1.2× 18 419
Vesna Radojevic Switzerland 10 173 1.0× 75 0.7× 50 0.7× 23 0.4× 49 0.9× 23 356
Chengliang Hu China 9 122 0.7× 61 0.6× 68 0.9× 30 0.5× 35 0.6× 11 314
Joanne Gerber Switzerland 5 126 0.7× 43 0.4× 101 1.4× 68 1.1× 25 0.5× 7 253

Countries citing papers authored by Jialin Mo

Since Specialization
Citations

This map shows the geographic impact of Jialin 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 Jialin Mo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jialin Mo more than expected).

Fields of papers citing papers by Jialin Mo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jialin 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 Jialin Mo. The network helps show where Jialin Mo may publish in the future.

Co-authorship network of co-authors of Jialin Mo

This figure shows the co-authorship network connecting the top 25 collaborators of Jialin Mo. A scholar is included among the top collaborators of Jialin 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 Jialin Mo. Jialin Mo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

14 of 14 papers shown
1.
2.
Mo, Jialin, Hao Shi, Feng Chen, et al.. (2024). CRISPR-Cas9 screening develops an epigenetic and transcriptional gene signature for risk stratification and target prediction in neuroblastoma. Frontiers in Cell and Developmental Biology. 12. 1433008–1433008. 1 indexed citations
3.
4.
Lu, Wenjie, et al.. (2023). CRISPR-Cas9 knockout screening identifies KIAA1429 as an essential gene in Ewing sarcoma. Journal of Experimental & Clinical Cancer Research. 42(1). 250–250. 8 indexed citations
5.
Mo, Jialin, Yu Dong, Wenjie Lu, et al.. (2022). Therapeutic targeting the oncogenic driver EWSR1::FLI1 in Ewing sarcoma through inhibition of the FACT complex. Oncogene. 42(1). 11–25. 11 indexed citations
6.
Mo, Jialin, Yu Dong, Yujie Han, et al.. (2022). SMAD9-MYCN positive feedback loop represents a unique dependency for MYCN-amplified neuroblastoma. Journal of Experimental & Clinical Cancer Research. 41(1). 352–352. 8 indexed citations
7.
Mo, Jialin, Fang Liu, Xi Sun, et al.. (2021). Inhibition of the FACT Complex Targets Aberrant Hedgehog Signaling and Overcomes Resistance to Smoothened Antagonists. Cancer Research. 81(11). 3105–3120. 12 indexed citations
8.
Mo, Jialin, et al.. (2019). MicroRNA-365 Knockdown Prevents Ischemic Neuronal Injury by Activating Oxidation Resistance 1-Mediated Antioxidant Signals. Neuroscience Bulletin. 35(5). 815–825. 15 indexed citations
9.
10.
Liu, Fang, Wenyan Jiang, Wei Meng, et al.. (2019). CDK7 inhibition suppresses aberrant hedgehog pathway and overcomes resistance to smoothened antagonists. Proceedings of the National Academy of Sciences. 116(26). 12986–12995. 19 indexed citations
11.
Mo, Jialin, Qi Liu, Zengwei Kou, et al.. (2018). MicroRNA‐365 modulates astrocyte conversion into neuron in adult rat brain after stroke by targeting Pax6. Glia. 66(7). 1346–1362. 51 indexed citations
12.
Wu, Kunwei, Jialin Mo, Zengwei Kou, et al.. (2017). Neurovascular Interaction Promotes the Morphological and Functional Maturation of Cortical Neurons. Frontiers in Cellular Neuroscience. 11. 290–290. 27 indexed citations
13.
14.
Shen, Shuwen, et al.. (2015). Striatal astrocytes transdifferentiate into functional mature neurons following ischemic brain injury. Glia. 63(9). 1660–1670. 82 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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