Guoqiang Sun

8.7k total citations · 1 hit paper
82 papers, 5.3k citations indexed

About

Guoqiang Sun is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Developmental Neuroscience. According to data from OpenAlex, Guoqiang Sun has authored 82 papers receiving a total of 5.3k indexed citations (citations by other indexed papers that have themselves been cited), including 50 papers in Molecular Biology, 17 papers in Cellular and Molecular Neuroscience and 16 papers in Developmental Neuroscience. Recurrent topics in Guoqiang Sun's work include Neurogenesis and neuroplasticity mechanisms (16 papers), MicroRNA in disease regulation (9 papers) and Epigenetics and DNA Methylation (9 papers). Guoqiang Sun is often cited by papers focused on Neurogenesis and neuroplasticity mechanisms (16 papers), MicroRNA in disease regulation (9 papers) and Epigenetics and DNA Methylation (9 papers). Guoqiang Sun collaborates with scholars based in United States, China and Japan. Guoqiang Sun's co-authors include Yanhong Shi, Chunnian Zhao, LI Sheng-xiu, Peng Ye, Qiuhao Qu, Yang Su, Wendong Li, Alexander S. Raikhel, Arthur D. Riggs and Jinsong Zhu and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and PLoS ONE.

In The Last Decade

Guoqiang Sun

75 papers receiving 5.2k citations

Hit Papers

m6A RNA Methylation Regul... 2017 2026 2020 2023 2017 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Guoqiang Sun United States 35 3.8k 1.8k 940 878 693 82 5.3k
Yan Liu China 37 3.3k 0.9× 449 0.2× 763 0.8× 1.4k 1.6× 553 0.8× 184 5.1k
Irm Hermans‐Borgmeyer Germany 42 4.1k 1.1× 524 0.3× 655 0.7× 2.7k 3.0× 965 1.4× 93 6.9k
Kiichi Watanabe Japan 27 5.4k 1.4× 433 0.2× 1.1k 1.2× 1.8k 2.0× 534 0.8× 55 7.4k
Mei Zhong China 32 3.3k 0.9× 561 0.3× 290 0.3× 315 0.4× 491 0.7× 89 4.4k
Dong‐Wook Kim South Korea 38 3.8k 1.0× 463 0.3× 585 0.6× 1.2k 1.3× 475 0.7× 131 5.6k
Zuoshang Xu United States 46 5.2k 1.4× 1.3k 0.7× 269 0.3× 1.4k 1.5× 827 1.2× 86 9.3k
Yingwei Mao United States 30 2.6k 0.7× 511 0.3× 339 0.4× 576 0.7× 642 0.9× 75 4.0k
Odile Kellermann France 37 3.3k 0.9× 456 0.2× 205 0.2× 759 0.9× 551 0.8× 112 4.9k
Xuekun Li China 34 5.2k 1.4× 1.2k 0.7× 698 0.7× 952 1.1× 1.5k 2.1× 93 6.9k

Countries citing papers authored by Guoqiang Sun

Since Specialization
Citations

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

Fields of papers citing papers by Guoqiang Sun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guoqiang Sun

This figure shows the co-authorship network connecting the top 25 collaborators of Guoqiang Sun. A scholar is included among the top collaborators of Guoqiang Sun 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 Guoqiang Sun. Guoqiang Sun 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.
Sun, Guoqiang, Xiaolong Fu, Yandong Zheng, et al.. (2025). Single-cell profiling identifies hair cell SLC35F1 deficiency as a signature of primate cochlear aging. Nature Aging. 5(9). 1862–1879. 2 indexed citations
3.
Sun, Guoqiang, Cheng Wang, Hayk Davtyan, et al.. (2024). Microglial APOE3 Christchurch protects neurons from Tau pathology in a human iPSC-based model of Alzheimer’s disease. Cell Reports. 43(12). 114982–114982. 7 indexed citations
5.
Liu, Fei‐Fei, Yi Lü, Xuebao Wang, et al.. (2023). Identification of FOXO1 as a geroprotector in human synovium through single-nucleus transcriptomic profiling. Protein & Cell. 15(6). 441–459. 10 indexed citations
6.
Wang, Zhe, Yating Cheng, Ye Lu, Guoqiang Sun, & Lin Pei. (2023). Baicalin Ameliorates Corticosterone-Induced Depression by Promoting Neurodevelopment of Hippocampal via mTOR/GSK3β Pathway. Chinese Journal of Integrative Medicine. 29(5). 405–412. 11 indexed citations
7.
Jing, Ying, Yuesheng Zuo, Yang Yu, et al.. (2022). Single-nucleus profiling unveils a geroprotective role of the FOXO3 in primate skeletal muscle aging. Protein & Cell. 14(7). 497–512. 40 indexed citations
8.
Xiao, Zhigang, et al.. (2021). Baicalin promotes hippocampal neurogenesis via the Wnt/β-catenin pathway in a chronic unpredictable mild stress-induced mouse model of depression. Biochemical Pharmacology. 190. 114594–114594. 53 indexed citations
9.
Zhang, Ying, Yue Tao, Hui Zhang, et al.. (2015). Effect of di- n -butyl phthalate on root physiology and rhizosphere microbial community of cucumber seedlings. Journal of Hazardous Materials. 289. 9–17. 50 indexed citations
10.
Li, Wendong, Erpo Tian, Zhaoxia Chen, et al.. (2012). Identification of Oct4-activating compounds that enhance reprogramming efficiency. Proceedings of the National Academy of Sciences. 109(51). 20853–20858. 62 indexed citations
11.
Shi, Yanhong, Guoqiang Sun, & Richard Stewart. (2006). Nuclear Receptors in Stem Cell Biology. Critical Reviews in Eukaryotic Gene Expression. 16(2). 171–182. 3 indexed citations
12.
Sun, Guoqiang, et al.. (2006). Central and/or peripheral immunoreactivity of orexin-A in pregnant rats and women. Journal of Molecular Endocrinology. 36(1). 131–138. 17 indexed citations
13.
Zhu, Jinsong, et al.. (2004). The early gene Broad is involved in the ecdysteroid hierarchy governing vitellogenesis of the mosquito Aedes aegypti. Journal of Molecular Endocrinology. 33(3). 743–761. 66 indexed citations
14.
Sun, Guoqiang, Zhanzhuang Tian, Takuya Murata, et al.. (2004). Central and Peripheral Immunoreactivity of Melanin‐Concentrating Hormone in Hypothalamic Obese and Lactating Rats. Journal of Neuroendocrinology. 16(1). 79–83. 12 indexed citations
15.
Li, Meiyu, et al.. (2004). [Polymorphism analysis of the goat growth hormone gene in the 5' regulatory sequence].. PubMed. 26(6). 831–5. 2 indexed citations
16.
Kaunisto, Mari, Hanna Harno, Kaate R. J. Vanmolkot, et al.. (2004). A novel missense ATP1A2 mutation in a Finnish family with familial hemiplegic migraine type 2. Neurogenetics. 5(2). 141–146. 49 indexed citations
17.
Dittmer, Neal T., Guoqiang Sun, Sheng‐Fu Wang, & Alexander S. Raikhel. (2003). CREB isoform represses yolk protein gene expression in the mosquito fat body. Molecular and Cellular Endocrinology. 210(1-2). 39–49. 9 indexed citations
18.
Wang, Sheng‐Fu, Chao Li, Guoqiang Sun, Jinsong Zhu, & Alexander S. Raikhel. (2002). Differential expression and regulation by 20-hydroxyecdysone of mosquito ecdysteroid receptor isoforms A and B. Molecular and Cellular Endocrinology. 196(1-2). 29–42. 40 indexed citations
19.
Sun, Guoqiang, Jinsong Zhu, Chao Li, Zhijian Tu, & Alexander S. Raikhel. (2002). Two isoforms of the early E74 gene, an Ets transcription factor homologue, are implicated in the ecdysteroid hierarchy governing vitellogenesis of the mosquito, Aedes aegypti. Molecular and Cellular Endocrinology. 190(1-2). 147–157. 63 indexed citations
20.
Wu, Wei, Guoqiang Sun, & Wei Wu. (1996). [G-CSF and all-trans retinoic acid-induced leukocytosis].. PubMed. 18(4). 273–5.

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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