Chi Bun Chan

2.5k total citations
61 papers, 1.9k citations indexed

About

Chi Bun Chan is a scholar working on Molecular Biology, Physiology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Chi Bun Chan has authored 61 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Molecular Biology, 21 papers in Physiology and 16 papers in Cellular and Molecular Neuroscience. Recurrent topics in Chi Bun Chan's work include Adipose Tissue and Metabolism (12 papers), Nerve injury and regeneration (11 papers) and Metabolism, Diabetes, and Cancer (6 papers). Chi Bun Chan is often cited by papers focused on Adipose Tissue and Metabolism (12 papers), Nerve injury and regeneration (11 papers) and Metabolism, Diabetes, and Cancer (6 papers). Chi Bun Chan collaborates with scholars based in United States, Hong Kong and China. Chi Bun Chan's co-authors include Keqiang Ye, Xia Liu, Chaoyang Liu, Baowei Jiao, Margaret Chui Ling Tse, Christopher H.K. Cheng, Xigui Huang, Deshou Wang, Li Zhang and Chi Wai Lee and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Clinical Investigation.

In The Last Decade

Chi Bun Chan

58 papers receiving 1.8k citations

Peers

Chi Bun Chan

CMN

PHYSI

GENET

EDM

Xiaotang Fan China

Anja U. Bräuer Germany

Yan Sun China

George N. Chaldakov Bulgaria

Sonia Do Carmo Canada

Atsuyoshi Shimada Japan

Claudio Pietra Italy

Michał Korostyński Poland

Laura M. Frago Spain

Xiaotang Fan China

Chi Bun Chan

1.1k ×1.4

537 ×1.1

CMN

238 ×0.6

PHYSI

332 ×1.6

GENET

162 ×0.9

EDM

Citations per year, relative to Chi Bun Chan Chi Bun Chan (= 1×) peers Xiaotang Fan

Countries citing papers authored by Chi Bun Chan

Since Specialization

Citations

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

Fields of papers citing papers by Chi Bun Chan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chi Bun Chan. 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 Chi Bun Chan. The network helps show where Chi Bun Chan may publish in the future.

Co-authorship network of co-authors of Chi Bun Chan

This figure shows the co-authorship network connecting the top 25 collaborators of Chi Bun Chan. A scholar is included among the top collaborators of Chi Bun Chan 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 Chi Bun Chan. Chi Bun Chan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Tse, Margaret Chui Ling, et al.. (2024). Exercise-induced BDNF promotes PPARδ-dependent reprogramming of lipid metabolism in skeletal muscle during exercise recovery. Science Signaling. 17(828). eadh2783–eadh2783. 19 indexed citations

Wang, Hui, Haibo Xu, Wei Chen, et al.. (2022). Rab13 Sustains Breast Cancer Stem Cells by Supporting Tumor–Stroma Cross-talk. Cancer Research. 82(11). 2124–2140. 17 indexed citations

Chan, Chi Bun, et al.. (2022). Evidence does not support the reduction of added sugar intake from all food sources. Nature Reviews Cardiology. 19(12). 845–845. 2 indexed citations

Chan, Chi Bun, et al.. (2022). Current WHO recommendation to reduce free sugar intake from all sources to below 10% of daily energy intake for supporting overall health is not well supported by available evidence. American Journal of Clinical Nutrition. 116(1). 15–39. 28 indexed citations

Kumar, Mukesh, et al.. (2022). Novel small molecule MRGPRX2 antagonists inhibit a murine model of allergic reaction. Journal of Allergy and Clinical Immunology. 151(4). 1110–1122. 24 indexed citations

Jia, Weihua, Nuoqi Wang, Lin Yin, et al.. (2020). Effects of fasting on the expression pattern of FGFs in different skeletal muscle fibre types and sexes in mice. Biology of Sex Differences. 11(1). 9–9. 15 indexed citations

Jia, Weihua, Nuoqi Wang, Lin Yin, et al.. (2019). Effect of skeletal muscle phenotype and gender on fasting-induced myokine expression in mice. Biochemical and Biophysical Research Communications. 514(2). 407–414. 16 indexed citations

Zhang, Shuai, Hao Sheng, Xiaoya Zhang, et al.. (2019). Cellular energy stress induces AMPK-mediated regulation of glioblastoma cell proliferation by PIKE-A phosphorylation. Cell Death and Disease. 10(3). 222–222. 26 indexed citations

Yang, Xiuying, et al.. (2018). Interaction of CREB and PGC-1α Induces Fibronectin Type III Domain-Containing Protein 5 Expression in C2C12 Myotubes. Cellular Physiology and Biochemistry. 50(4). 1574–1584. 30 indexed citations

10.

Wood, John, Margaret Chui Ling Tse, Xiuying Yang, et al.. (2018). BDNF mimetic alleviates body weight gain in obese mice by enhancing mitochondrial biogenesis in skeletal muscle. Metabolism. 87. 113–122. 50 indexed citations

11.

Chan, Chi Bun & Keqiang Ye. (2016). Sex differences in brain‐derived neurotrophic factor signaling and functions. Journal of Neuroscience Research. 95(1-2). 328–335. 135 indexed citations

12.

Wang, Chenyao, Lu Zhao, Qian Su, et al.. (2016). Phosphorylation of MITF by AKT affects its downstream targets and causes TP53-dependent cell senescence. The International Journal of Biochemistry & Cell Biology. 80. 132–142. 31 indexed citations

13.

Groß, Christina, Seth M. Kelly, Aditi Bhattacharya, et al.. (2015). Increased Expression of the PI3K Enhancer PIKE Mediates Deficits in Synaptic Plasticity and Behavior in Fragile X Syndrome. Cell Reports. 11(5). 727–736. 89 indexed citations

14.

Chan, Chi Bun & Keqiang Ye. (2012). Phosphoinositide 3-kinase enhancer (PIKE) in the brain: is it simply a phosphoinositide 3-kinase/Akt enhancer?. Reviews in the Neurosciences. 23(2). 153–61. 8 indexed citations

15.

Yi, Hong, Chi Bun Chan, Xuekun Li, et al.. (2012). SRPK2 Phosphorylates Tau and Mediates the Cognitive Defects in Alzheimer's Disease. Journal of Neuroscience. 32(48). 17262–17272. 44 indexed citations

16.

Chan, Chi Bun, Xia Liu, Pradoldej Sompol, et al.. (2011). Phosphoinositide 3-Kinase Enhancer Regulates Neuronal Dendritogenesis and Survival in Neocortex. Journal of Neuroscience. 31(22). 8083–8092. 49 indexed citations

17.

Groß, Christina, M. Nakamoto, Xiaodi Yao, et al.. (2010). Excess PI3K subunit synthesis and activity as a novel therapeutic target in Fragile X Syndrome. Journal of Neuroscience Nursing. 30(32). 10624–10638. 1 indexed citations

18.

Chan, Chi Bun, et al.. (2009). NGF inhibits human leukemia proliferation by downregulating cyclin A1 expression through promoting acinus/CtBP2 association. Oncogene. 28(43). 3825–3836. 22 indexed citations

19.

Jiao, Baowei, Xigui Huang, Chi Bun Chan, et al.. (2006). The co-existence of two growth hormone receptors in teleost fish and their differential signal transduction, tissue distribution and hormonal regulation of expression in seabream. Journal of Molecular Endocrinology. 36(1). 23–40. 147 indexed citations

20.

Chan, Chi Bun, et al.. (2004). Stimulation of growth hormone secretion from seabream pituitary cells in primary culture by growth hormone secretagogues is independent of growth hormone transcription. Comparative Biochemistry and Physiology Part C Toxicology & Pharmacology. 139(1-3). 77–85. 13 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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