Guohe Tan

1.0k total citations
22 papers, 659 citations indexed

About

Guohe Tan is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Genetics. According to data from OpenAlex, Guohe Tan has authored 22 papers receiving a total of 659 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 6 papers in Cellular and Molecular Neuroscience and 6 papers in Genetics. Recurrent topics in Guohe Tan's work include Genetics and Neurodevelopmental Disorders (5 papers), Neurogenesis and neuroplasticity mechanisms (4 papers) and Cancer, Stress, Anesthesia, and Immune Response (3 papers). Guohe Tan is often cited by papers focused on Genetics and Neurodevelopmental Disorders (5 papers), Neurogenesis and neuroplasticity mechanisms (4 papers) and Cancer, Stress, Anesthesia, and Immune Response (3 papers). Guohe Tan collaborates with scholars based in China, United States and Mexico. Guohe Tan's co-authors include Zhi‐Qi Xiong, Ni Wang, Zhi‐Ying Wu, Hong‐Fu Li, Shunling Guo, Wei Wei, Qi‐Jie Zhang, Jianfeng Xu, J. He and Ya‐Fang Chen and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Genetics and Journal of Neuroscience.

In The Last Decade

Guohe Tan

20 papers receiving 650 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Guohe Tan China 9 331 270 188 140 105 22 659
Stefania Bigoni Italy 14 255 0.8× 190 0.7× 82 0.4× 105 0.8× 65 0.6× 33 520
Bryan Lynch Ireland 13 217 0.7× 378 1.4× 170 0.9× 141 1.0× 65 0.6× 32 659
Oriane Trouillard France 10 232 0.7× 182 0.7× 249 1.3× 111 0.8× 77 0.7× 20 490
Aurélie Méneret France 14 131 0.4× 159 0.6× 178 0.9× 195 1.4× 240 2.3× 46 704
Anna Alkelai United States 14 188 0.6× 205 0.8× 85 0.5× 114 0.8× 59 0.6× 30 625
Valerio Castoldi Italy 12 172 0.5× 332 1.2× 61 0.3× 168 1.2× 58 0.6× 26 586
Manuela Fadda Italy 10 178 0.5× 257 1.0× 105 0.6× 188 1.3× 42 0.4× 12 500
Maria Teresa Bonati Italy 14 330 1.0× 327 1.2× 97 0.5× 73 0.5× 176 1.7× 44 756
Elizabeth Peckham United States 12 228 0.7× 204 0.8× 52 0.3× 187 1.3× 382 3.6× 19 755
Irina N. Bespalova United States 13 233 0.7× 285 1.1× 60 0.3× 74 0.5× 65 0.6× 20 646

Countries citing papers authored by Guohe Tan

Since Specialization
Citations

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

Fields of papers citing papers by Guohe Tan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guohe Tan

This figure shows the co-authorship network connecting the top 25 collaborators of Guohe Tan. A scholar is included among the top collaborators of Guohe Tan 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 Guohe Tan. Guohe Tan 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.
2.
Huang, Na, Yawen Huang, Zixin Deng, et al.. (2025). Blood‑brain barrier dysfunction in epilepsy: Mechanisms, therapeutic strategies and future orientation (Review). International Journal of Molecular Medicine. 56(3). 1–23. 1 indexed citations
3.
Wang, Ping, Jinling Li, Yuanyuan Liu, et al.. (2024). Palladium–reduced graphene oxide nanocomposites enhance neurite outgrowth and protect neurons from Ishemic stroke. Materials Today Bio. 28. 101184–101184. 4 indexed citations
4.
Tang, Xi, et al.. (2024). Breast cancer promotes the expression of neurotransmitter receptor related gene groups and image simulation of prognosis model. SLAS TECHNOLOGY. 29(5). 100183–100183. 2 indexed citations
5.
Chai, Xiao, et al.. (2024). Research on the shared function of central neurons and breast cancer based on gene expression profile data mining: The role of EMID1 protein antibody expression. International Journal of Biological Macromolecules. 277(Pt 3). 134393–134393. 2 indexed citations
6.
Huang, Qingyun, Wei Zhang, Jie Yuan, et al.. (2023). Tyrosine kinase receptor ErbB4 in Advillin-positive neurons contributes to inflammatory pain hypersensitivity in mouse DRG. Aging and Disease. 15(6). 2799–2812. 1 indexed citations
7.
8.
Zhang, Wei, et al.. (2022). Which Factors Influence Healthy Aging? A Lesson from the Longevity Village of Bama in China. Aging and Disease. 14(3). 825–825. 7 indexed citations
9.
Feng, Su, Ting Zhang, Ke Wei, et al.. (2022). The long-term survival and functional maturation of human iNPC-derived neurons in the basal forebrain of cynomolgus monkeys. PubMed. 1(2). 196–206. 4 indexed citations
10.
Xiong, Xinxin, et al.. (2021). Intracerebral Transplantation of Neural Stem Cells Restores Manganese-Induced Cognitive Deficits in Mice. Aging and Disease. 12(2). 371–371. 9 indexed citations
11.
Ma, Hongyan, Libo Su, Wenlong Xia, et al.. (2021). MacroH2A1.2 deficiency leads to neural stem cell differentiation defects and autism‐like behaviors. EMBO Reports. 22(7). e52150–e52150. 14 indexed citations
12.
Li, Fang, et al.. (2019). [The role of Bmal1 in neuronal radial migration and axonal projection of the embryonic mouse cerebral cortex].. PubMed. 41(6). 524–533. 1 indexed citations
13.
Xu, Qiong, Xiaoming Wang, Guohe Tan, et al.. (2018). Autism-associated CHD8 deficiency impairs axon development and migration of cortical neurons. Molecular Autism. 9(1). 65–65. 62 indexed citations
14.
Liu, Zhijun, Hong‐Fu Li, Guohe Tan, et al.. (2014). Identify mutation in amyotrophic lateral sclerosis cases using HaloPlex target enrichment system. Neurobiology of Aging. 35(12). 2881.e11–2881.e15. 43 indexed citations
15.
Miao, Sheng, Renchao Chen, Jiahao Ye, et al.. (2013). The Angelman Syndrome Protein Ube3a Is Required for Polarized Dendrite Morphogenesis in Pyramidal Neurons. Journal of Neuroscience. 33(1). 327–333. 84 indexed citations
16.
Lu, Ting‐Jia, Renchao Chen, Timothy C. Cox, et al.. (2013). X-linked microtubule-associated protein, Mid1, regulates axon development. Proceedings of the National Academy of Sciences. 110(47). 19131–19136. 27 indexed citations
17.
Guo, Shunling, Guohe Tan, Shuai Li, et al.. (2011). Serum inducible kinase is a positive regulator of cortical dendrite development and is required for BDNF-promoted dendritic arborization. Cell Research. 22(2). 387–398. 12 indexed citations
18.
Chen, Wan‐Jin, Yu Lin, Zhi‐Qi Xiong, et al.. (2011). Exome sequencing identifies truncating mutations in PRRT2 that cause paroxysmal kinesigenic dyskinesia. Nature Genetics. 43(12). 1252–1255. 324 indexed citations
19.
Hu, Xiao, Xuewen Cheng, Lei Cai, et al.. (2011). Conditional Deletion of NRSF in Forebrain Neurons Accelerates Epileptogenesis in the Kindling Model. Cerebral Cortex. 21(9). 2158–2165. 52 indexed citations
20.
Tan, Guohe, et al.. (2007). [Effects of manganismus on proliferation of neural stem cells in mice's hippocampus].. PubMed. 25(5). 282–5. 1 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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