Chenglai Fu

2.9k total citations · 1 hit paper
38 papers, 2.3k citations indexed

About

Chenglai Fu is a scholar working on Molecular Biology, Cell Biology and Cancer Research. According to data from OpenAlex, Chenglai Fu has authored 38 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Molecular Biology, 13 papers in Cell Biology and 9 papers in Cancer Research. Recurrent topics in Chenglai Fu's work include Cellular transport and secretion (9 papers), Protein Kinase Regulation and GTPase Signaling (7 papers) and Angiogenesis and VEGF in Cancer (5 papers). Chenglai Fu is often cited by papers focused on Cellular transport and secretion (9 papers), Protein Kinase Regulation and GTPase Signaling (7 papers) and Angiogenesis and VEGF in Cancer (5 papers). Chenglai Fu collaborates with scholars based in United States, China and Germany. Chenglai Fu's co-authors include A. S. Fanning, Jia Xu, Lewis C. Cantley, Shirin M. Marfatia, Athar H. Chishti, Andrew C. Chan, Anne Crompton, Zhou Songyang, James M. Anderson and Solomon H. Snyder and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

Chenglai Fu

34 papers receiving 2.3k citations

Hit Papers

Recognition of Unique Carboxyl-Terminal Motifs by Distinc... 1997 2026 2006 2016 1997 400 800 1.2k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chenglai Fu United States 19 1.5k 774 417 167 152 38 2.3k
Nicholas S. Tolwinski Singapore 27 2.0k 1.3× 537 0.7× 320 0.8× 154 0.9× 279 1.8× 57 2.6k
Carme Gallego Spain 21 1.8k 1.2× 388 0.5× 314 0.8× 211 1.3× 182 1.2× 44 2.5k
Dario Finazzi Italy 24 1.5k 1.0× 1.1k 1.4× 249 0.6× 414 2.5× 93 0.6× 51 2.8k
Hideaki Ando Japan 22 1.9k 1.3× 288 0.4× 441 1.1× 175 1.0× 119 0.8× 37 2.6k
Luc De Vries United States 22 2.3k 1.5× 590 0.8× 717 1.7× 110 0.7× 187 1.2× 38 2.8k
Mark L. Grimes United States 19 1.2k 0.8× 693 0.9× 704 1.7× 141 0.8× 113 0.7× 34 1.9k
Tae‐Jin Yoon South Korea 24 1.2k 0.8× 773 1.0× 413 1.0× 60 0.4× 109 0.7× 85 2.4k
Heng Wu China 22 1.4k 0.9× 270 0.3× 292 0.7× 173 1.0× 102 0.7× 43 2.2k
Takayasu Kobayashi Japan 24 1.9k 1.2× 355 0.5× 174 0.4× 115 0.7× 187 1.2× 51 2.4k
Fan‐Yan Wei Japan 32 2.3k 1.5× 483 0.6× 295 0.7× 200 1.2× 276 1.8× 92 3.2k

Countries citing papers authored by Chenglai Fu

Since Specialization
Citations

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

Fields of papers citing papers by Chenglai Fu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chenglai Fu

This figure shows the co-authorship network connecting the top 25 collaborators of Chenglai Fu. A scholar is included among the top collaborators of Chenglai Fu 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 Chenglai Fu. Chenglai Fu 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.
Guo, Shenrui, Wei Feng, Yuchun Chang, et al.. (2025). Early astrocyte-targeted intervention guided by 18F-SMBT-1 imaging attenuates disease progression in 3xTg-AD mice. European Journal of Nuclear Medicine and Molecular Imaging. 53(3). 2034–2046.
2.
Wang, Chao, Yuanyuan Chen, Weiwei Cheng, et al.. (2025). Inositol pyrophosphate kinases in health and disease. FEBS Letters.
3.
Qi, Ji, Yuanyuan Chen, Yue Liu, et al.. (2025). IP6K1 Rewires LKB1 Signaling to Mediate Hyperglycemic Endothelial Senescence. Diabetes. 74(4). 486–501. 1 indexed citations
5.
Sun, Hui, Shenrui Guo, Hongfu Jin, et al.. (2025). Restoring glucose metabolism in Alzheimer's disease by targeting integrated stress response. Neurotherapeutics. 22(5). e00618–e00618. 1 indexed citations
6.
Jin, Hongfu, et al.. (2024). Deleting IP6K1 stabilizes neuronal sodium–potassium pumps and suppresses excitability. Molecular Brain. 17(1). 8–8. 1 indexed citations
7.
Liu, Xiaoqi, Alfred C. Chin, Andrew M. Riley, et al.. (2024). Depleting inositol pyrophosphate 5-InsP7 protected the heart against ischaemia–reperfusion injury by elevating plasma adiponectin. Cardiovascular Research. 120(8). 954–970. 7 indexed citations
8.
Qi, Ji, Yuanyuan Chen, Hong Zhu, et al.. (2023). Functions, Mechanisms, and therapeutic applications of the inositol pyrophosphates 5PP-InsP5 and InsP8 in mammalian cells. Journal of Cardiovascular Translational Research. 17(1). 197–215. 12 indexed citations
9.
Cheng, Weiwei, Zhe Gao, Yuanyuan Chen, et al.. (2023). Itraconazole inhibits endothelial cell migration by disrupting inositol pyrophosphate-dependent focal adhesion dynamics and cytoskeletal remodeling. Biomedicine & Pharmacotherapy. 161. 114449–114449. 13 indexed citations
10.
Fu, Chenglai, et al.. (2018). Inositol Hexakisphosphate Kinase-2 in Cerebellar Granule Cells Regulates Purkinje Cells and Motor Coordination via Protein 4.1N. Journal of Neuroscience. 38(34). 7409–7419. 16 indexed citations
11.
Cheng, Weiwei, Shaopeng Wang, Chenglai Fu, et al.. (2017). C9ORF72 GGGGCC repeat-associated non-AUG translation is upregulated by stress through eIF2α phosphorylation. Nature Communications. 9(1). 51–51. 148 indexed citations
12.
Rao, Feng, Jing Xu, Chenglai Fu, et al.. (2015). Inositol pyrophosphates promote tumor growth and metastasis by antagonizing liver kinase B1. Proceedings of the National Academy of Sciences. 112(6). 1773–1778. 78 indexed citations
13.
Martin, Ting, Bindu D. Paul, Chenglai Fu, et al.. (2014). Serine Racemase Regulated by Binding to Stargazin and PSD-95. Journal of Biological Chemistry. 289(43). 29631–29641. 34 indexed citations
14.
Rao, Feng, Ji-Young Cha, Jing Xu, et al.. (2014). Inositol Pyrophosphates Mediate the DNA-PK/ATM-p53 Cell Death Pathway by Regulating CK2 Phosphorylation of Tti1/Tel2. Molecular Cell. 54(1). 119–132. 106 indexed citations
15.
Fu, Chenglai, Anita van der Zwan, Wayne C. H. Wang, et al.. (2013). Screening assay for blood vessel maturation inhibitors. Biochemical and Biophysical Research Communications. 438(2). 364–369. 6 indexed citations
16.
Zeng, Xiaoyun, Jinhong Zheng, Chenglai Fu, et al.. (2013). A Newly Synthesized Sinapic Acid Derivative Inhibits Endothelial Activation In Vitro and In Vivo. Molecular Pharmacology. 83(5). 1099–1108. 16 indexed citations
17.
Li, Xiaoxia, Yimeng Song, Dawei Wang, et al.. (2012). LIF maintains progenitor phenotype of endothelial progenitor cells via Krüppel-like factor 4. Microvascular Research. 84(3). 270–277. 6 indexed citations
18.
Fu, Chenglai, Xiaoxia Li, Yimeng Song, et al.. (2011). Prostaglandin E2 Promotes Endothelial Differentiation from Bone Marrow-Derived Cells through AMPK Activation. PLoS ONE. 6(8). e23554–e23554. 41 indexed citations
19.
Fei, Erkang, et al.. (2011). Dysbindin-1, a schizophrenia-related protein, facilitates neurite outgrowth by promoting the transcriptional activity of p53. Molecular Psychiatry. 16(11). 1105–1116. 52 indexed citations
20.
Fu, Chenglai, et al.. (2010). Cholesterol increases adhesion of monocytes to endothelium by moving adhesion molecules out of caveolae. Biochimica et Biophysica Acta (BBA) - Molecular and Cell Biology of Lipids. 1801(7). 702–710. 34 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026