Meilei Jin

411 total citations
23 papers, 326 citations indexed

About

Meilei Jin is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Cell Biology. According to data from OpenAlex, Meilei Jin has authored 23 papers receiving a total of 326 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Cellular and Molecular Neuroscience, 8 papers in Molecular Biology and 4 papers in Cell Biology. Recurrent topics in Meilei Jin's work include Neuroscience and Neuropharmacology Research (10 papers), Adipose Tissue and Metabolism (3 papers) and Memory and Neural Mechanisms (3 papers). Meilei Jin is often cited by papers focused on Neuroscience and Neuropharmacology Research (10 papers), Adipose Tissue and Metabolism (3 papers) and Memory and Neural Mechanisms (3 papers). Meilei Jin collaborates with scholars based in China, United States and Japan. Meilei Jin's co-authors include Lei Yu, Guoping Zhao, Hong Zou, Xiang Gao, Naihe Jing, Bao‐Ming Li, Xinming Wang, Xuedong Zhou, Qiuling Hou and J.A. Strong and has published in prestigious journals such as Biochemical and Biophysical Research Communications, Psychopharmacology and European Journal of Neuroscience.

In The Last Decade

Meilei Jin

22 papers receiving 323 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Meilei Jin China 10 150 141 56 51 49 23 326
Wen‐Chin Huang United States 6 178 1.2× 102 0.7× 72 1.3× 64 1.3× 91 1.9× 8 390
Henk A. Spierenburg Netherlands 12 218 1.5× 171 1.2× 90 1.6× 35 0.7× 45 0.9× 16 417
W. R. A. K. J. S. Rajapaksha United Kingdom 10 180 1.2× 188 1.3× 86 1.5× 51 1.0× 50 1.0× 13 559
Ester Orav Finland 7 168 1.1× 219 1.6× 41 0.7× 38 0.7× 64 1.3× 9 360
Emilie Petit Ireland 10 139 0.9× 171 1.2× 64 1.1× 25 0.5× 37 0.8× 13 381
Avia Merenlender‐Wagner Israel 7 124 0.8× 109 0.8× 69 1.2× 66 1.3× 47 1.0× 8 404
Kuei-Sen Hsu Taiwan 9 187 1.2× 265 1.9× 31 0.6× 66 1.3× 61 1.2× 10 446
Yuichi Ishitsuka Japan 8 184 1.2× 148 1.0× 96 1.7× 54 1.1× 24 0.5× 8 384
Hasan Mohammad Singapore 8 128 0.9× 82 0.6× 25 0.4× 55 1.1× 49 1.0× 13 337
Antonio Morilla González Spain 13 273 1.8× 338 2.4× 58 1.0× 47 0.9× 45 0.9× 24 600

Countries citing papers authored by Meilei Jin

Since Specialization
Citations

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

Fields of papers citing papers by Meilei Jin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Meilei Jin

This figure shows the co-authorship network connecting the top 25 collaborators of Meilei Jin. A scholar is included among the top collaborators of Meilei Jin 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 Meilei Jin. Meilei Jin 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.
Zou, Hong, Ming Liu, Yi Luan, et al.. (2017). Pattern of novel object exploration in cynomolgus monkey Macaca fascicularis. Journal of Medical Primatology. 46(2). 19–24.
2.
Zou, Hong, Ke Wang, Meilei Jin, et al.. (2014). Chronic alcohol consumption from adolescence-to-adulthood in mice - hypothalamic gene expression changes in the dilated cardiomyopathy signaling pathway. BMC Neuroscience. 15(1). 61–61. 7 indexed citations
3.
Wang, Ke, Meilei Jin, Huasheng Xiao, et al.. (2014). Chronic alcohol consumption from adolescence to adulthood in mice – Hypothalamic gene expression changes in insulin-signaling pathway. Alcohol. 48(6). 571–578. 3 indexed citations
4.
Londoño, Douglas, Anthony M. Musolf, Ruixue Wang, et al.. (2013). A novel method for analyzing genetic association with longitudinal phenotypes. Statistical Applications in Genetics and Molecular Biology. 12(2). 241–61. 9 indexed citations
5.
Guo, Ning, Xiyao Gu, Jun Zhao, et al.. (2012). Maxillary nerve compression in cynomolgus monkey Macaca fascicularis: altered somatic sensation and peripheral nerve firing. BMC Neuroscience. 13(1). 150–150. 1 indexed citations
6.
Zhang, Ming, Baohu Ji, Hong Zou, et al.. (2010). Vitamin A depletion alters sensitivity of motor behavior to MK-801 in C57BL/6J mice. Behavioral and Brain Functions. 6(1). 7–7. 7 indexed citations
7.
Zou, Hong, et al.. (2009). Chronic alcohol consumption from adolescence-to-adulthood in mice—Effect on growth and social behavior. Drug and Alcohol Dependence. 104(1-2). 119–125. 15 indexed citations
8.
Yuan, Yiyuan, Xiang Gao, Ning Guo, et al.. (2007). rSac3, a novel Sac domain phosphoinositide phosphatase, promotes neurite outgrowth in PC12 cells. Cell Research. 17(11). 919–932. 12 indexed citations
9.
Qi, Chunting, Hong Zou, Ruizhong Zhang, et al.. (2007). Age-related differential sensitivity to MK-801-induced locomotion and stereotypy in C57BL/6 mice. European Journal of Pharmacology. 580(1-2). 161–168. 20 indexed citations
10.
Qi, Chunting, et al.. (2006). Effect of GNTI, a kappa opioid receptor antagonist, on MK-801 -induced hyperlocomotion and stereotypy in mice. Acta Pharmacologica Sinica. 27(11). 1401–1408. 8 indexed citations
11.
Tang, Yuanjia, Hong Zou, J.A. Strong, et al.. (2006). Paradoxical effects of very low dose MK-801. European Journal of Pharmacology. 537(1-3). 77–84. 10 indexed citations
12.
Wang, Xinming, Xiang Gao, Yanyang Tu, et al.. (2006). The negative cell cycle regulator, Tob (transducer of ErbB-2), is involved in motor skill learning. Biochemical and Biophysical Research Communications. 340(4). 1023–1027. 25 indexed citations
13.
Hou, Qiuling, Xiang Gao, Xue‐Han Zhang, et al.. (2006). SNAP-25 in hippocampal CA3 region is required for long-term memory formation. Biochemical and Biophysical Research Communications. 347(4). 955–962. 28 indexed citations
14.
Yu, Albert Cheung-Hoi, Qiang Li, Guoping Zhao, et al.. (2005). Identification of a Mouse Synaptic Glycoprotein Gene in Cultured Neurons. Neurochemical Research. 30(10). 1289–1294. 1 indexed citations
15.
Zhang, Xue‐Han, Hui Zhang, Yanyang Tu, et al.. (2005). Identification of a novel protein for memory regulation in the hippocampus. Biochemical and Biophysical Research Communications. 334(2). 418–424. 3 indexed citations
16.
Hou, Qiuling, Xiang Gao, Xuehan Zhang, et al.. (2004). SNAP‐25 in hippocampal CA1 region is involved in memory consolidation. European Journal of Neuroscience. 20(6). 1593–1603. 61 indexed citations
17.
Zou, Hong, J.A. Strong, Xuedong Zhou, et al.. (2004). Bimodal effects of MK-801 on locomotion and stereotypy in C57BL/6 mice. Psychopharmacology. 177(3). 256–263. 65 indexed citations
19.
Bu, Lei, Meilei Jin, Yiping Jin, et al.. (2002). The γS-Crystallin Gene Is Mutated in Autosomal Recessive Cataract in Mouse. Genomics. 80(1). 38–44. 25 indexed citations
20.
Kawashima, Tsuyoshi, et al.. (1991). A new haplotype of the .BETA.-globin gene complex, Hbbw1, in Chinese wild mouse.. The Japanese Journal of Genetics. 66(4). 491–500. 10 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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