Yue‐Sheng Long

1.3k total citations
47 papers, 977 citations indexed

About

Yue‐Sheng Long is a scholar working on Molecular Biology, Genetics and Cellular and Molecular Neuroscience. According to data from OpenAlex, Yue‐Sheng Long has authored 47 papers receiving a total of 977 indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Molecular Biology, 18 papers in Genetics and 14 papers in Cellular and Molecular Neuroscience. Recurrent topics in Yue‐Sheng Long's work include Genetics and Neurodevelopmental Disorders (16 papers), Neuroscience and Neuropharmacology Research (10 papers) and Ion channel regulation and function (8 papers). Yue‐Sheng Long is often cited by papers focused on Genetics and Neurodevelopmental Disorders (16 papers), Neuroscience and Neuropharmacology Research (10 papers) and Ion channel regulation and function (8 papers). Yue‐Sheng Long collaborates with scholars based in China, Saudi Arabia and United States. Yue‐Sheng Long's co-authors include Wei‐Ping Liao, Yong‐Hong Yi, Tao Su, Yi‐Wu Shi, Qi‐Hua Zhao, Mei‐Mei Gao, Xiao‐Rong Liu, Na He, Guo‐Wang Lin and Bin Tang and has published in prestigious journals such as Nature Communications, Brain Research and Neuroscience.

In The Last Decade

Yue‐Sheng Long

46 papers receiving 962 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yue‐Sheng Long China 19 546 336 259 225 138 47 977
Jyotirmoy Banerjee India 18 436 0.8× 108 0.3× 173 0.7× 265 1.2× 36 0.3× 67 778
Yuanlin Ma China 20 406 0.7× 163 0.5× 71 0.3× 230 1.0× 64 0.5× 77 901
C.E. Pollard United Kingdom 21 1.2k 2.2× 492 1.5× 56 0.2× 606 2.7× 261 1.9× 33 2.1k
Kiyoshi Egawa Japan 16 444 0.8× 157 0.5× 98 0.4× 318 1.4× 125 0.9× 49 860
Charles J. Marcuccilli United States 14 328 0.6× 47 0.1× 133 0.5× 413 1.8× 197 1.4× 21 828
Yong‐Hong Yi China 23 915 1.7× 978 2.9× 676 2.6× 400 1.8× 218 1.6× 83 1.9k
Cristina R. Reschke Ireland 17 425 0.8× 97 0.3× 220 0.8× 280 1.2× 39 0.3× 31 949
Frances K. Wiseman United Kingdom 16 429 0.8× 225 0.7× 119 0.5× 53 0.2× 78 0.6× 38 1.1k
Tadayuki Shimada Japan 15 456 0.8× 72 0.2× 98 0.4× 417 1.9× 36 0.3× 20 946
Shanker Swaminathan United States 16 703 1.3× 420 1.3× 373 1.4× 93 0.4× 175 1.3× 25 1.5k

Countries citing papers authored by Yue‐Sheng Long

Since Specialization
Citations

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

Fields of papers citing papers by Yue‐Sheng Long

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yue‐Sheng Long. 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 Yue‐Sheng Long. The network helps show where Yue‐Sheng Long may publish in the future.

Co-authorship network of co-authors of Yue‐Sheng Long

This figure shows the co-authorship network connecting the top 25 collaborators of Yue‐Sheng Long. A scholar is included among the top collaborators of Yue‐Sheng Long 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 Yue‐Sheng Long. Yue‐Sheng Long 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.
Huang, Yu-Ting, et al.. (2024). Hippocampal proteome comparison of infant and adult Fmr1 deficiency mice reveals adult-related changes associated with postsynaptic density. Journal of Proteomics. 303. 105202–105202. 1 indexed citations
2.
Zhang, Li, et al.. (2022). Lysine acetylome profiling in mouse hippocampus and its alterations upon FMRP deficiency linked to abnormal energy metabolism. Journal of Proteomics. 269. 104720–104720. 5 indexed citations
3.
Hu, Fei, et al.. (2021). High fat suppresses SOD1 activity by reducing copper chaperone for SOD1 associated with neurodegeneration and memory decline. Life Sciences. 272. 119243–119243. 12 indexed citations
4.
Gao, Mei‐Mei, Fei Hu, Huiling Tang, et al.. (2020). Hypothalamic proteome changes in response to nicotine and its withdrawal are potentially associated with alteration in body weight. Journal of Proteomics. 214. 103633–103633. 15 indexed citations
5.
Zeng, Yang, Bing Qin, Yi‐Wu Shi, et al.. (2020). Ilepcimide inhibited sodium channel activity in mouse hippocampal neurons. Epilepsy Research. 170. 106533–106533. 6 indexed citations
6.
Yin, Luping, Rui Zheng, Ke Wei, et al.. (2018). Autapses enhance bursting and coincidence detection in neocortical pyramidal cells. Nature Communications. 9(1). 4890–4890. 76 indexed citations
7.
Liu, Shujing, Wenqi Yang, Fei Hu, et al.. (2018). Long-term moderate exercise enhances specific proteins that constitute neurotrophin signaling pathway: A TMT-based quantitative proteomic analysis of rat plasma. Journal of Proteomics. 185. 39–50. 19 indexed citations
8.
Liu, Shujing, Huiling Tang, Qian He, et al.. (2018). FTO is a transcriptional repressor to auto-regulate its own gene and potentially associated with homeostasis of body weight. Journal of Molecular Cell Biology. 11(2). 118–132. 26 indexed citations
9.
Wei, Ke, Quansheng He, Xiongfei Wang, et al.. (2018). Laminar Distribution of Neurochemically-Identified Interneurons and Cellular Co-expression of Molecular Markers in Epileptic Human Cortex. Neuroscience Bulletin. 34(6). 992–1006. 15 indexed citations
10.
Yang, Haixuan, Qi‐Hua Zhao, Weiwen Sun, et al.. (2017). A novel role of fragile X mental retardation protein in pre-mRNA alternative splicing through RNA-binding protein 14. Neuroscience. 349. 64–75. 43 indexed citations
11.
Lin, Guo‐Wang, Tao Zeng, Huiling Tang, et al.. (2016). GAPDH-mediated posttranscriptional regulations of sodium channel Scn1a and Scn3a genes under seizure and ketogenic diet conditions. Neuropharmacology. 113(Pt A). 480–489. 12 indexed citations
12.
Yang, Haixuan, Qi‐Hua Zhao, Mei‐Mei Gao, et al.. (2016). Involvement of FMRP in Primary MicroRNA Processing via Enhancing Drosha Translation. Molecular Neurobiology. 54(4). 2585–2594. 18 indexed citations
13.
Tang, Huiling, Guo‐Wang Lin, Yonghong Chen, et al.. (2016). Epigenetic Downregulation of Scn3a Expression by Valproate: a Possible Role in Its Anticonvulsant Activity. Molecular Neurobiology. 54(4). 2831–2842. 42 indexed citations
14.
Liu, Ting, Shujing Liu, Qi‐Hua Zhao, et al.. (2014). A MicroRNA Profile in Fmr1 Knockout Mice Reveals MicroRNA Expression Alterations with Possible Roles in Fragile X Syndrome. Molecular Neurobiology. 51(3). 1053–1063. 29 indexed citations
15.
Liu, Shujing, Qi‐Hua Zhao, Mei‐Mei Gao, et al.. (2014). Alteration of Scn3a expression is mediated via CpG methylation and MBD2 in mouse hippocampus during postnatal development and seizure condition. Biochimica et Biophysica Acta (BBA) - Gene Regulatory Mechanisms. 1849(1). 1–9. 19 indexed citations
16.
Shi, Yi‐Wu, Mei‐Mei Gao, Xiao‐Rong Liu, et al.. (2010). Milder phenotype with SCN1A truncation mutation other than SMEI. Seizure. 19(7). 443–445. 19 indexed citations
17.
Yi, Yong‐Hong, et al.. (2010). Experimental identification of microRNA targets on the 3′ untranslated region of human FMR1 gene. Journal of Neuroscience Methods. 190(1). 34–38. 20 indexed citations
18.
Long, Yue‐Sheng, et al.. (2009). The reversed terminator of octopine synthase gene on the Agrobacterium Ti plasmid has a weak promoter activity in prokaryotes. Molecular Biology Reports. 37(5). 2157–2162. 3 indexed citations
19.
20.

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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