Chin Yan Lim

2.0k total citations
26 papers, 1.4k citations indexed

About

Chin Yan Lim is a scholar working on Molecular Biology, Rehabilitation and Cell Biology. According to data from OpenAlex, Chin Yan Lim has authored 26 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 3 papers in Rehabilitation and 3 papers in Cell Biology. Recurrent topics in Chin Yan Lim's work include Genomics and Chromatin Dynamics (9 papers), Pluripotent Stem Cells Research (8 papers) and Epigenetics and DNA Methylation (8 papers). Chin Yan Lim is often cited by papers focused on Genomics and Chromatin Dynamics (9 papers), Pluripotent Stem Cells Research (8 papers) and Epigenetics and DNA Methylation (8 papers). Chin Yan Lim collaborates with scholars based in Singapore, United Kingdom and United States. Chin Yan Lim's co-authors include James T. Kadonaga, Wai Leong Tam, Jinqiu Zhang, Bing Lim, Huck‐Hui Ng, Henry Yang, Barbara B. Knowles, Thomas Boulay, Uwe Ohler and Buyung Santoso and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Genes & Development.

In The Last Decade

Chin Yan Lim

26 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chin Yan Lim Singapore 16 1.0k 145 131 113 107 26 1.4k
Guillaume Pavlovic France 21 938 0.9× 199 1.4× 320 2.4× 73 0.6× 22 0.2× 32 2.1k
Hua Diao China 20 586 0.6× 70 0.5× 108 0.8× 41 0.4× 36 0.3× 44 1.2k
Chan Gao Canada 14 1.0k 1.0× 172 1.2× 234 1.8× 18 0.2× 117 1.1× 22 1.5k
Jiyoung Nam South Korea 17 396 0.4× 81 0.6× 104 0.8× 36 0.3× 74 0.7× 48 936
Jae Young Kim South Korea 19 448 0.4× 157 1.1× 126 1.0× 72 0.6× 26 0.2× 91 1.0k
Latha Satish United States 20 463 0.4× 229 1.6× 78 0.6× 51 0.5× 22 0.2× 61 1.4k
John Keyte United Kingdom 16 748 0.7× 45 0.3× 287 2.2× 43 0.4× 45 0.4× 22 1.3k
Andrew P. Sawaya United States 13 406 0.4× 208 1.4× 42 0.3× 62 0.5× 63 0.6× 21 2.0k
Kazushige TAKEHANA Japan 20 404 0.4× 359 2.5× 185 1.4× 57 0.5× 38 0.4× 98 1.4k
Akihiro Yamashita Japan 23 796 0.8× 262 1.8× 122 0.9× 52 0.5× 60 0.6× 47 1.8k

Countries citing papers authored by Chin Yan Lim

Since Specialization
Citations

This map shows the geographic impact of Chin 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 Chin 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 Chin Yan Lim more than expected).

Fields of papers citing papers by Chin Yan Lim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

This figure shows the co-authorship network connecting the top 25 collaborators of Chin Yan Lim. A scholar is included among the top collaborators of Chin 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 Chin Yan Lim. Chin Yan Lim 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.
Lim, Chin Yan, et al.. (2024). Modelling Human Hair Follicles—Lessons from Animal Models and Beyond. Biology. 13(5). 312–312. 2 indexed citations
2.
Lim, Xin Ni, et al.. (2023). Divergent functions of histone acetyltransferases KAT2A and KAT2B in keratinocyte self-renewal and differentiation. Journal of Cell Science. 136(12). 3 indexed citations
3.
Lim, Chin Yan, et al.. (2022). Generation and integration of hair follicle-primed spheroids in bioengineered skin constructs. Biomedical Materials. 17(6). 61001–61001. 6 indexed citations
4.
Wemyss, Kelly, Siddharth Krishnan, Baptiste Janela, et al.. (2022). Age-Related Alterations in Macrophage Distribution and Function Are Associated With Delayed Cutaneous Wound Healing. Frontiers in Immunology. 13. 943159–943159. 14 indexed citations
5.
Lim, Chin Yan, et al.. (2021). Key changes in chromatin mark mammalian epidermal differentiation and ageing. Epigenetics. 17(4). 444–459. 9 indexed citations
7.
Liang, Kun, et al.. (2020). Application of 3D Bioprinting Technologies to the Management and Treatment of Diabetic Foot Ulcers. Biomedicines. 8(10). 441–441. 38 indexed citations
8.
Saxena, Parul, Takeshi Uemura, Norihiro Tsuneyoshi, et al.. (2018). MINDY1 Is a Downstream Target of the Polyamines and Promotes Embryonic Stem Cell Self-Renewal. Stem Cells. 36(8). 1170–1178. 21 indexed citations
9.
Ho, Lena, Marie van Dijk, Daniel M. Messerschmidt, et al.. (2017). ELABELA deficiency promotes preeclampsia and cardiovascular malformations in mice. Science. 357(6352). 707–713. 168 indexed citations
10.
Chou, Amy, et al.. (2017). Redundant functions of I-BAR family members, IRSp53 and IRTKS, are essential for embryonic development. Scientific Reports. 7(1). 40485–40485. 13 indexed citations
11.
Wang, Fei, Chin Yan Lim, Hong Chi, et al.. (2017). High-Performance Nano-Photoinitiators with Improved Safety for 3D Printing. ACS Applied Materials & Interfaces. 9(38). 32418–32423. 32 indexed citations
12.
Lim, Chin Yan, Barbara B. Knowles, Davor Solter, & Daniel M. Messerschmidt. (2016). Epigenetic Control of Early Mouse Development. Current topics in developmental biology. 120. 311–360. 15 indexed citations
13.
Lim, Chin Yan, Davor Solter, Barbara B. Knowles, & Ivan Damjanov. (2015). Development of Teratocarcinomas and Teratomas in Severely Immunodeficient NOD .Cg- Prkdc scid Il2rg tm1Wjl /Szj (NSG) Mice. Stem Cells and Development. 24(13). 1515–1520. 4 indexed citations
14.
Lim, Chin Yan, Roxana Nat, Andreas Villunger, et al.. (2015). Embryonic stem cell differentiation requires full length Chd1. Scientific Reports. 5(1). 8007–8007. 21 indexed citations
15.
Young, Teddy, Sheena L. M. Ong, Peter Wehner, et al.. (2014). The PDZ domain protein Mcc is a novel effector of non-canonical Wnt signaling during convergence and extension in zebrafish. Development. 141(18). 3505–3516. 21 indexed citations
16.
Avery, Stuart, Adam J. Hirst, Duncan Baker, et al.. (2013). BCL-XL Mediates the Strong Selective Advantage of a 20q11.21 Amplification Commonly Found in Human Embryonic Stem Cell Cultures. Stem Cell Reports. 1(5). 379–386. 115 indexed citations
17.
Lorthongpanich, Chanchao, Davor Solter, & Chin Yan Lim. (2010). Nuclear reprogramming in zygotes. The International Journal of Developmental Biology. 54(11-12). 1631–1640. 11 indexed citations
18.
Lim, Chin Yan, Wai Leong Tam, Jinqiu Zhang, et al.. (2008). Sall4 Regulates Distinct Transcription Circuitries in Different Blastocyst-Derived Stem Cell Lineages. Cell stem cell. 3(5). 543–554. 177 indexed citations
19.
Konev, Alexander Y., Sung Yeon Park, Valerie Podhraski, et al.. (2007). CHD1 Motor Protein Is Required for Deposition of Histone Variant H3.3 into Chromatin in Vivo. Science. 317(5841). 1087–1090. 194 indexed citations
20.
Lim, Chin Yan, et al.. (2004). The MTE, a new core promoter element for transcription by RNA polymerase II. Genes & Development. 18(13). 1606–1617. 153 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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