Chun-Yan Lim

1.1k total citations
10 papers, 750 citations indexed

About

Chun-Yan Lim is a scholar working on Cell Biology, Epidemiology and Physiology. According to data from OpenAlex, Chun-Yan Lim has authored 10 papers receiving a total of 750 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Cell Biology, 3 papers in Epidemiology and 3 papers in Physiology. Recurrent topics in Chun-Yan Lim's work include Cellular transport and secretion (4 papers), Calcium signaling and nucleotide metabolism (3 papers) and Adipokines, Inflammation, and Metabolic Diseases (2 papers). Chun-Yan Lim is often cited by papers focused on Cellular transport and secretion (4 papers), Calcium signaling and nucleotide metabolism (3 papers) and Adipokines, Inflammation, and Metabolic Diseases (2 papers). Chun-Yan Lim collaborates with scholars based in United States, Singapore and China. Chun-Yan Lim's co-authors include Roberto Zoncu, Weiping Han, Wanjin Hong, Rushika M. Perera, Oliver B. Davis, Hijai R. Shin, Claire Maher, Matthew A. Kukurugya, George K. Radda and James H. Hurley and has published in prestigious journals such as Science, Journal of Biological Chemistry and Nature Communications.

In The Last Decade

Chun-Yan Lim

9 papers receiving 747 citations

Peers

Chun-Yan Lim

MB

EPIDE

PHYSI

CB

PHYSI

Hanneke Okkenhaug United Kingdom

Heather Hughes United States

Patrick F. Finn United States

Katherine H. Schreiber United States

Feven Tameire United States

Junko Kawawaki Japan

Sujata Saraswat Ohri United States

Jakub Sikora Czechia

Nawajes Mandal United States

Hideki Tsumura Japan

Hanneke Okkenhaug United Kingdom

Chun-Yan Lim

698 ×2.0

MB

268 ×1.2

EPIDE

105 ×0.5

PHYSI

255 ×1.3

CB

69 ×0.6

PHYSI

Citations per year, relative to Chun-Yan Lim Chun-Yan Lim (= 1×) peers Hanneke Okkenhaug

Countries citing papers authored by Chun-Yan Lim

Since Specialization

Citations

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

Fields of papers citing papers by Chun-Yan Lim

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chun-Yan Lim. 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 Chun-Yan Lim. The network helps show where Chun-Yan Lim may publish in the future.

Co-authorship network of co-authors of Chun-Yan Lim

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

All Works

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10 of 10 papers shown

1.

Teng, Fei, Huan Zeng, Shujun Chen, et al.. (2025). Architecture of the human KICSTOR and GATOR1–KICSTOR complexes. Nature Structural & Molecular Biology. 32(12). 2587–2600.

2.

Shin, Hijai R., Lei Wang, Yusuke Sugasawa, et al.. (2022). Lysosomal GPCR-like protein LYCHOS signals cholesterol sufficiency to mTORC1. Science. 377(6612). 1290–1298. 62 indexed citations

3.

Davis, Oliver B., Hijai R. Shin, Chun-Yan Lim, et al.. (2020). NPC1-mTORC1 Signaling Couples Cholesterol Sensing to Organelle Homeostasis and Is a Targetable Pathway in Niemann-Pick Type C. Developmental Cell. 56(3). 260–276.e7. 132 indexed citations

4.

Lawrence, Rosalie, Simon A. Fromm, Yangxue Fu, et al.. (2019). Structural mechanism of a Rag GTPase activation checkpoint by the lysosomal folliculin complex. Science. 366(6468). 971–977. 114 indexed citations

5.

Lim, Chun-Yan & Roberto Zoncu. (2016). The lysosome as a command-and-control center for cellular metabolism. The Journal of Cell Biology. 214(6). 653–664. 222 indexed citations

6.

Lim, Chun-Yan, Xuezhi Bi, Donghai Wu, et al.. (2015). Tropomodulin3 is a novel Akt2 effector regulating insulin-stimulated GLUT4 exocytosis through cortical actin remodeling. Nature Communications. 6(1). 5951–5951. 71 indexed citations

7.

Lim, Chun-Yan, Wanjin Hong, & Weiping Han. (2015). Adiponectin is released via a unique regulated exocytosis pathway from a pre-formed vesicle pool on insulin stimulation. Biochemical Journal. 471(3). 381–389. 9 indexed citations

8.

Wang, Yue, Yusuf Ali, Chun-Yan Lim, et al.. (2014). Insulin-stimulated leptin secretion requires calcium and PI3K/Akt activation. Biochemical Journal. 458(3). 491–498. 36 indexed citations

9.

Kostromina, Elena, Natalia Gustavsson, Xiaorui Wang, et al.. (2010). Glucose Intolerance and Impaired Insulin Secretion in Pancreas-Specific Signal Transducer and Activator of Transcription-3 Knockout Mice Are Associated with Microvascular Alterations in the Pancreas. Endocrinology. 151(5). 2050–2059. 29 indexed citations

10.

Yang, Guoqing, Chun-Yan Lim, Xiaoqiu Xiao, et al.. (2008). FoxO1 Inhibits Leptin Regulation of Pro-opiomelanocortin Promoter Activity by Blocking STAT3 Interaction with Specificity Protein 1. Journal of Biological Chemistry. 284(6). 3719–3727. 75 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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