Fu‐Lei Tang

2.7k total citations
38 papers, 1.6k citations indexed

About

Fu‐Lei Tang is a scholar working on Molecular Biology, Genetics and Cell Biology. According to data from OpenAlex, Fu‐Lei Tang has authored 38 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 12 papers in Genetics and 11 papers in Cell Biology. Recurrent topics in Fu‐Lei Tang's work include Cellular transport and secretion (7 papers), Genetics and Neurodevelopmental Disorders (6 papers) and Neuroinflammation and Neurodegeneration Mechanisms (5 papers). Fu‐Lei Tang is often cited by papers focused on Cellular transport and secretion (7 papers), Genetics and Neurodevelopmental Disorders (6 papers) and Neuroinflammation and Neurodegeneration Mechanisms (5 papers). Fu‐Lei Tang collaborates with scholars based in United States, China and Russia. Fu‐Lei Tang's co-authors include Wen‐Cheng Xiong, Lin Mei, Joanna Erion, Darrell W. Brann, Wei Liu, Jian Ye, Ye Tian, J. Ye, Wei Liu and Chunlei Wang and has published in prestigious journals such as The Journal of Experimental Medicine, Journal of Neuroscience and The Journal of Cell Biology.

In The Last Decade

Fu‐Lei Tang

35 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Fu‐Lei Tang United States 22 660 426 420 418 369 38 1.6k
Ivan Milenković Austria 22 573 0.9× 394 0.9× 537 1.3× 155 0.4× 477 1.3× 49 1.6k
Isao Nishimura Japan 17 953 1.4× 422 1.0× 545 1.3× 270 0.6× 548 1.5× 25 1.7k
Tinmarla F. Oo United States 21 666 1.0× 789 1.9× 242 0.6× 320 0.8× 900 2.4× 27 1.8k
Elize D. Haasdijk Netherlands 22 910 1.4× 994 2.3× 421 1.0× 406 1.0× 405 1.1× 28 2.1k
Róbert Adalbert United Kingdom 22 735 1.1× 340 0.8× 440 1.0× 212 0.5× 811 2.2× 32 1.8k
Niccolò E. Mencacci United Kingdom 25 675 1.0× 1.3k 3.0× 426 1.0× 315 0.8× 798 2.2× 58 2.1k
Olga Yarygina United States 14 424 0.6× 351 0.8× 147 0.3× 302 0.7× 499 1.4× 18 1.2k
Dong‐Min Yin China 21 954 1.4× 207 0.5× 274 0.7× 225 0.5× 1.0k 2.7× 40 2.0k
Bruno A. Benítez United States 26 767 1.2× 543 1.3× 926 2.2× 192 0.5× 371 1.0× 67 2.4k
Yuxiang Xie United States 16 735 1.1× 291 0.7× 259 0.6× 248 0.6× 632 1.7× 18 1.5k

Countries citing papers authored by Fu‐Lei Tang

Since Specialization
Citations

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

Fields of papers citing papers by Fu‐Lei Tang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Fu‐Lei Tang. 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 Fu‐Lei Tang. The network helps show where Fu‐Lei Tang may publish in the future.

Co-authorship network of co-authors of Fu‐Lei Tang

This figure shows the co-authorship network connecting the top 25 collaborators of Fu‐Lei Tang. A scholar is included among the top collaborators of Fu‐Lei Tang 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 Fu‐Lei Tang. Fu‐Lei Tang 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.
Tang, Fu‐Lei, et al.. (2024). Attempts to Create Transgenic Mice Carrying the Q3924E Mutation in RyR2 Ca2+ Binding Site. Cells. 13(24). 2051–2051.
2.
Tang, Fu‐Lei, et al.. (2020). Ganglioside GD3 regulates dendritic growth in newborn neurons in adult mouse hippocampus via modulation of mitochondrial dynamics. Journal of Neurochemistry. 156(6). 819–833. 21 indexed citations
3.
Tang, Fu‐Lei, et al.. (2020). Enhanced Susceptibility to Chemoconvulsant-Induced Seizures in Ganglioside GM3 Synthase Knockout Mice. ASN NEURO. 12(1). 1665515455–1665515455. 9 indexed citations
4.
Lu, Yujiao, Gangadhara R. Sareddy, Jing Wang, et al.. (2020). Neuron-Derived Estrogen Is Critical for Astrocyte Activation and Neuroprotection of the Ischemic Brain. Journal of Neuroscience. 40(38). 7355–7374. 84 indexed citations
5.
Tang, Fu‐Lei, Lu Zhao, Yang Zhao, et al.. (2020). Coupling of terminal differentiation deficit with neurodegenerative pathology in Vps35-deficient pyramidal neurons. Cell Death and Differentiation. 27(7). 2099–2116. 31 indexed citations
6.
Pan, Jin‐Xiu, Xiao Ren, Yang Zhao, et al.. (2020). Critical Roles of Embryonic Born Dorsal Dentate Granule Neurons for Activity-Dependent Increases in BDNF, Adult Hippocampal Neurogenesis, and Antianxiety-like Behaviors. Biological Psychiatry. 89(6). 600–614. 35 indexed citations
7.
Tang, Fu‐Lei, Daehoon Lee, Yang Zhao, et al.. (2020). Ependymal Vps35 Promotes Ependymal Cell Differentiation and Survival, Suppresses Microglial Activation, and Prevents Neonatal Hydrocephalus. Journal of Neuroscience. 40(19). 3862–3879. 22 indexed citations
8.
Ren, Xiao, et al.. (2019). Microglial VPS35 deficiency regulates microglial polarization and decreases ischemic stroke-induced damage in the cortex. Journal of Neuroinflammation. 16(1). 235–235. 19 indexed citations
9.
Sun, Dong, Xiang-Dong Sun, Lu Zhao, et al.. (2018). Neogenin, a regulator of adult hippocampal neurogenesis, prevents depressive-like behavior. Cell Death and Disease. 9(1). 8–8. 44 indexed citations
10.
Pan, Jin‐Xiu, Fu‐Lei Tang, Fei Xiong, et al.. (2018). APP promotes osteoblast survival and bone formation by regulating mitochondrial function and preventing oxidative stress. Cell Death and Disease. 9(11). 1077–1077. 42 indexed citations
11.
Liu, Wei, Fu‐Lei Tang, Sen Lin, et al.. (2017). Vps35-deficiency impairs SLC4A11 trafficking and promotes corneal dystrophy. PLoS ONE. 12(9). e0184906–e0184906. 5 indexed citations
12.
Huang, Zhihui, Dong Sun, Jinxia Hu, et al.. (2016). Neogenin Promotes BMP2 Activation of YAP and Smad1 and Enhances Astrocytic Differentiation in Developing Mouse Neocortex. Journal of Neuroscience. 36(21). 5833–5849. 50 indexed citations
13.
Tang, Fu‐Lei, Wei Liu, Joanna Erion, et al.. (2015). VPS35 Deficiency or Mutation Causes Dopaminergic Neuronal Loss by Impairing Mitochondrial Fusion and Function. Cell Reports. 12(10). 1631–1643. 206 indexed citations
14.
15.
Liu, Wei, Fu‐Lei Tang, Joanna Erion, et al.. (2014). Vps35 haploinsufficiency results in degenerative-like deficit in mouse retinal ganglion neurons and impairment of optic nerve injury-induced gliosis. Molecular Brain. 7(1). 10–10. 21 indexed citations
16.
Wang, Lifang, Meixiang Jia, Weihua Yue, et al.. (2007). Association of the ENGRAILED 2 (EN2) gene with autism in Chinese Han population. American Journal of Medical Genetics Part B Neuropsychiatric Genetics. 147B(4). 434–438. 54 indexed citations
17.
Yue, Weihua, et al.. (2007). Polymorphisms of Transferrin gene are associated with schizophrenia in Chinese Han population. Journal of Psychiatric Research. 42(11). 877–883. 19 indexed citations
18.
Tang, Fu‐Lei, Lifang Wang, Yan Ruan, et al.. (2007). Case–control association study of the 2′,3′-cyclic nucleotide 3′-phosphodiesterase (CNP) gene and schizophrenia in the Han Chinese population. Neuroscience Letters. 416(2). 113–116. 12 indexed citations
19.
Yue, Weihua, Guolian Kang, Yanbo Zhang, et al.. (2007). Association of DAOA polymorphisms with schizophrenia and clinical symptoms or therapeutic effects. Neuroscience Letters. 416(1). 96–100. 32 indexed citations
20.
Yue, Weihua, Zhonghua Liu, Guolian Kang, et al.. (2006). Association of G72/G30 polymorphisms with early-onset and male schizophrenia. Neuroreport. 17(18). 1899–1902. 21 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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