Yan Shan Ong

915 total citations
9 papers, 699 citations indexed

About

Yan Shan Ong is a scholar working on Cell Biology, Molecular Biology and Physiology. According to data from OpenAlex, Yan Shan Ong has authored 9 papers receiving a total of 699 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Cell Biology, 5 papers in Molecular Biology and 2 papers in Physiology. Recurrent topics in Yan Shan Ong's work include Cellular transport and secretion (6 papers), Endoplasmic Reticulum Stress and Disease (4 papers) and Lipid Membrane Structure and Behavior (2 papers). Yan Shan Ong is often cited by papers focused on Cellular transport and secretion (6 papers), Endoplasmic Reticulum Stress and Disease (4 papers) and Lipid Membrane Structure and Behavior (2 papers). Yan Shan Ong collaborates with scholars based in Singapore, United States and Australia. Yan Shan Ong's co-authors include Wanjin Hong, Bor Luen Tang, Charles Ferguson, Ximing Du, William A. Prinz, Hongyuan Yang, Robert G. Parton, Andrew J. Brown, Jaspal Kaur Kumar and Li Shen Loo and has published in prestigious journals such as Journal of Biological Chemistry, Nature Communications and The Journal of Cell Biology.

In The Last Decade

Yan Shan Ong

9 papers receiving 697 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yan Shan Ong Singapore 8 482 398 87 86 65 9 699
Roberta Fiume Italy 28 1.1k 2.3× 459 1.2× 156 1.8× 130 1.5× 56 0.9× 54 1.4k
Lucio Cocco Italy 12 641 1.3× 277 0.7× 91 1.0× 82 1.0× 20 0.3× 16 758
Reini E.N. van der Welle United States 5 266 0.6× 193 0.5× 88 1.0× 120 1.4× 133 2.0× 5 540
Katherine A. Hinchliffe United Kingdom 17 634 1.3× 516 1.3× 110 1.3× 104 1.2× 35 0.5× 21 825
Avinash K. Persaud Canada 14 769 1.6× 275 0.7× 37 0.4× 54 0.6× 103 1.6× 26 939
Chandrasekaran Vasudevan United States 8 444 0.9× 274 0.7× 66 0.8× 79 0.9× 20 0.3× 9 601
Vasyl Lukiyanchuk United States 7 518 1.1× 253 0.6× 170 2.0× 94 1.1× 44 0.7× 9 722
Paru B. Oatey United Kingdom 13 811 1.7× 449 1.1× 160 1.8× 126 1.5× 24 0.4× 17 989
Gwen R. Buel United States 10 485 1.0× 156 0.4× 36 0.4× 74 0.9× 91 1.4× 11 672
Peta Wood Australia 12 464 1.0× 117 0.3× 83 1.0× 80 0.9× 61 0.9× 13 600

Countries citing papers authored by Yan Shan Ong

Since Specialization
Citations

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

Fields of papers citing papers by Yan Shan Ong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yan Shan Ong. 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 Yan Shan Ong. The network helps show where Yan Shan Ong may publish in the future.

Co-authorship network of co-authors of Yan Shan Ong

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

All Works

9 of 9 papers shown
1.
Gandhi, T. K. B., Ellen P.S. Man, John G. Clohessy, et al.. (2020). Targeting microtubule sensitizes drug resistant lung cancer cells to lysosomal pathway inhibitors. Theranostics. 10(6). 2727–2743. 7 indexed citations
2.
Tołoczko, Aleksandra, Fusheng Guo, Hiu‐Fung Yuen, et al.. (2017). Deubiquitinating Enzyme USP9X Suppresses Tumor Growth via LATS Kinase and Core Components of the Hippo Pathway. Cancer Research. 77(18). 4921–4933. 66 indexed citations
3.
Chakraborty, Sayan, Manikandan Lakshmanan, Jianxiang Chen, et al.. (2015). An oncogenic role of Agrin in regulating focal adhesion integrity in hepatocellular carcinoma. Nature Communications. 6(1). 6184–6184. 126 indexed citations
4.
Ong, Yan Shan, et al.. (2014). TMEM115 as an integral membrane protein of the Golgi apparatus involved in retrograde transport. Journal of Cell Science. 127(Pt 13). 2825–39. 14 indexed citations
5.
Du, Ximing, Jaspal Kaur Kumar, Charles Ferguson, et al.. (2011). A role for oxysterol-binding protein–related protein 5 in endosomal cholesterol trafficking. The Journal of Cell Biology. 192(1). 121–135. 257 indexed citations
6.
Wen, Wenyu, Jiang Yu, Lifeng Pan, et al.. (2010). Lipid-Induced Conformational Switch Controls Fusion Activity of Longin Domain SNARE Ykt6. Molecular Cell. 37(3). 383–395. 39 indexed citations
7.
Ong, Yan Shan, Bor Luen Tang, Li Shen Loo, & Wanjin Hong. (2010). p125A exists as part of the mammalian Sec13/Sec31 COPII subcomplex to facilitate ER-Golgi transport. The Journal of Cell Biology. 190(3). 331–345. 44 indexed citations
8.
Tang, Bor Luen, Ya Wang, Yan Shan Ong, & Wanjin Hong. (2005). COPII and exit from the endoplasmic reticulum. Biochimica et Biophysica Acta (BBA) - Molecular Cell Research. 1744(3). 293–303. 80 indexed citations
9.
Tang, Bor Luen, Yan Shan Ong, Bin Huang, et al.. (2001). A Membrane Protein Enriched in Endoplasmic Reticulum Exit Sites Interacts with COPII. Journal of Biological Chemistry. 276(43). 40008–40017. 66 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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