Jianlan Gu

1.9k total citations
34 papers, 1.2k citations indexed

About

Jianlan Gu is a scholar working on Molecular Biology, Physiology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Jianlan Gu has authored 34 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 19 papers in Physiology and 8 papers in Cellular and Molecular Neuroscience. Recurrent topics in Jianlan Gu's work include Alzheimer's disease research and treatments (17 papers), Prion Diseases and Protein Misfolding (7 papers) and Amyotrophic Lateral Sclerosis Research (6 papers). Jianlan Gu is often cited by papers focused on Alzheimer's disease research and treatments (17 papers), Prion Diseases and Protein Misfolding (7 papers) and Amyotrophic Lateral Sclerosis Research (6 papers). Jianlan Gu collaborates with scholars based in China, United States and Australia. Jianlan Gu's co-authors include Khalid Iqbal, Cheng‐Xin Gong, Jianhua Shi, Fei Liu, Inge Grundke‐Iqbal, Nana Jin, Hitoshi Tanimukai, F. Liu, Dandan Chu and Xiaomin Yin and has published in prestigious journals such as Nucleic Acids Research, Journal of Biological Chemistry and The Journal of Cell Biology.

In The Last Decade

Jianlan Gu

32 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jianlan Gu China 15 666 557 186 168 167 34 1.2k
Jianhua Shi China 24 1.3k 2.0× 775 1.4× 298 1.6× 270 1.6× 196 1.2× 49 2.1k
Eun Sun Jung South Korea 17 543 0.8× 413 0.7× 193 1.0× 78 0.5× 44 0.3× 27 1.0k
Hyun Seok Hong South Korea 16 537 0.8× 612 1.1× 180 1.0× 77 0.5× 44 0.3× 18 1.1k
Alfredo Giménez-Cassina Spain 21 979 1.5× 382 0.7× 314 1.7× 49 0.3× 70 0.4× 29 1.5k
Donna M. Barten United States 16 341 0.5× 462 0.8× 212 1.1× 75 0.4× 41 0.2× 27 966
Elizabeth Brigham United States 14 652 1.0× 1.1k 1.9× 240 1.3× 39 0.2× 123 0.7× 22 1.6k
Raik Rönicke Germany 15 652 1.0× 1.0k 1.8× 406 2.2× 41 0.2× 81 0.5× 19 1.6k
Nathaniel S. Woodling United States 19 551 0.8× 476 0.9× 207 1.1× 24 0.1× 166 1.0× 32 1.4k
Atsushi Aoyagi Japan 14 463 0.7× 386 0.7× 228 1.2× 95 0.6× 325 1.9× 19 1.0k
Deepa Ajit United States 15 391 0.6× 386 0.7× 139 0.7× 33 0.2× 62 0.4× 23 1.1k

Countries citing papers authored by Jianlan Gu

Since Specialization
Citations

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

Fields of papers citing papers by Jianlan Gu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jianlan Gu

This figure shows the co-authorship network connecting the top 25 collaborators of Jianlan Gu. A scholar is included among the top collaborators of Jianlan Gu 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 Jianlan Gu. Jianlan Gu 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.
Wang, Qi, Shijia Wang, Yanli Jiang, et al.. (2025). Cryptic Splicing of GAP43 mRNA is a Novel Hallmark of TDP‐43‐Associated ALS and AD. Advanced Science. 12(36). e12054–e12054.
2.
Gu, Jianlan, et al.. (2025). Rhythmic TDP-43 affects RNA splicing of USP13, resulting in alteration of BMAL1 ubiquitination. The Journal of Cell Biology. 224(5). 1 indexed citations
3.
Wang, Hao, et al.. (2025). Synaptic scaffold protein PSD-95: a therapeutic target for Alzheimer’s disease. Biochemical Pharmacology. 242(Pt 3). 117401–117401.
4.
Liu, Fei, Nana Jin, Dandan Chu, et al.. (2023). Two simple assays for assessing the seeding activity of proteopathic tau. Frontiers in Aging Neuroscience. 15. 1 indexed citations
5.
6.
Wu, Qian, Ruirui Shi, Xin Shen, et al.. (2021). Excess folic acid supplementation before and during pregnancy and lactation activates β-catenin in the brain of male mouse offspring. Brain Research Bulletin. 178. 133–143. 5 indexed citations
7.
Li, Longfei, Ruirui Shi, Jianlan Gu, et al.. (2021). Alzheimer’s disease brain contains tau fractions with differential prion-like activities. Acta Neuropathologica Communications. 9(1). 28–28. 44 indexed citations
8.
Li, Longfei, Ruirui Shi, Yan Zhou, et al.. (2021). Dephosphorylation Passivates the Seeding Activity of Oligomeric Tau Derived From Alzheimer’s Brain. Frontiers in Molecular Neuroscience. 14. 631833–631833. 12 indexed citations
9.
Gu, Jianlan, Nana Jin, Longfei Li, et al.. (2020). Truncation of Tau selectively facilitates its pathological activities. Journal of Biological Chemistry. 295(40). 13812–13828. 66 indexed citations
10.
Gu, Jianlan & Fei Liu. (2020). Tau in Alzheimer’s Disease: Pathological Alterations and an Attractive Therapeutic Target. Current Medical Science. 40(6). 1009–1021. 24 indexed citations
11.
Gu, Jianlan, Nana Jin, Denglei Ma, et al.. (2018). Calpain I Activation Causes GLUT3 Proteolysis and Downregulation of O-GlcNAcylation in Alzheimer’s Disease Brain. Journal of Alzheimer s Disease. 62(4). 1737–1746. 22 indexed citations
12.
Jin, Nana, Denglei Ma, Jianlan Gu, et al.. (2018). O-GlcNAcylation modulates PKA-CREB signaling in a manner specific to PKA catalytic subunit isoforms. Biochemical and Biophysical Research Communications. 497(1). 194–199. 13 indexed citations
13.
Gu, Jianlan, Feng Chen, Khalid Iqbal, et al.. (2017). Transactive response DNA-binding protein 43 (TDP-43) regulates alternative splicing of tau exon 10: Implications for the pathogenesis of tauopathies. Journal of Biological Chemistry. 292(25). 10600–10612. 65 indexed citations
14.
Chen, Caoyi, Jianlan Gu, Gustavo Basurto‐Islas, et al.. (2017). Up-regulation of casein kinase 1ε is involved in tau pathogenesis in Alzheimer’s disease. Scientific Reports. 7(1). 13478–13478. 20 indexed citations
15.
Shi, Jianhua, Jin‐Hua Gu, Chun‐Ling Dai, et al.. (2015). O-GlcNAcylation regulates ischemia-induced neuronal apoptosis through AKT signaling. Scientific Reports. 5(1). 14500–14500. 64 indexed citations
16.
Jin, Nana, Xiaomin Yin, Jianlan Gu, et al.. (2015). Truncation and Activation of Dual Specificity Tyrosine Phosphorylation-regulated Kinase 1A by Calpain I. Journal of Biological Chemistry. 290(24). 15219–15237. 49 indexed citations
17.
Wang, Yixuan, Riyun Yang, Jianlan Gu, et al.. (2014). Cross talk between PI3K-AKT-GSK-3β and PP2A pathways determines tau hyperphosphorylation. Neurobiology of Aging. 36(1). 188–200. 109 indexed citations
18.
Yin, Xiaomin, Nana Jin, Jianlan Gu, et al.. (2012). Dual-specificity Tyrosine Phosphorylation-regulated Kinase 1A (Dyrk1A) Modulates Serine/Arginine-rich Protein 55 (SRp55)-promoted Tau Exon 10 Inclusion. Journal of Biological Chemistry. 287(36). 30497–30506. 79 indexed citations
19.
Gu, Jianlan, Jianhua Shi, Shi-Liang Wu, et al.. (2012). Cyclic AMP‐dependent protein kinase regulates 9G8‐mediated alternative splicing of tau exon 10. FEBS Letters. 586(16). 2239–2244. 17 indexed citations
20.
Liu, F., Jianhua Shi, Hitoshi Tanimukai, et al.. (2009). Reduced O-GlcNAcylation links lower brain glucose metabolism and tau pathology in Alzheimer's disease. Brain. 132(7). 1820–1832. 340 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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