Si Kee Tan

483 total citations
10 papers, 357 citations indexed

About

Si Kee Tan is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Genetics. According to data from OpenAlex, Si Kee Tan has authored 10 papers receiving a total of 357 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 2 papers in Pulmonary and Respiratory Medicine and 2 papers in Genetics. Recurrent topics in Si Kee Tan's work include RNA Research and Splicing (3 papers), Genomics and Chromatin Dynamics (3 papers) and Gold and Silver Nanoparticles Synthesis and Applications (2 papers). Si Kee Tan is often cited by papers focused on RNA Research and Splicing (3 papers), Genomics and Chromatin Dynamics (3 papers) and Gold and Silver Nanoparticles Synthesis and Applications (2 papers). Si Kee Tan collaborates with scholars based in Singapore, Macao and United States. Si Kee Tan's co-authors include Edwin Cheung, Kern Rei Chng, Cheng Chang, Chong Yang, Wing‐Kin Sung, Eu‐Leong Yong, You Fu Pan, Xiaodi Su, Shuzhen Hong and Valerie C. L. Lin and has published in prestigious journals such as The EMBO Journal, Analytical Chemistry and Analytical Biochemistry.

In The Last Decade

Si Kee Tan

10 papers receiving 357 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Si Kee Tan Singapore 8 281 117 74 55 53 10 357
Joanna L. Gillis Australia 8 286 1.0× 128 1.1× 25 0.3× 48 0.9× 195 3.7× 9 397
Joana Santos Portugal 10 139 0.5× 63 0.5× 20 0.3× 34 0.6× 42 0.8× 19 236
Paul Hachem United States 12 135 0.5× 191 1.6× 31 0.4× 111 2.0× 55 1.0× 20 331
Shicong Zhu China 12 204 0.7× 40 0.3× 27 0.4× 89 1.6× 68 1.3× 25 337
L Petronio United States 4 168 0.6× 45 0.4× 28 0.4× 111 2.0× 122 2.3× 9 321
Amanda L. Bain Australia 12 261 0.9× 34 0.3× 32 0.4× 93 1.7× 43 0.8× 19 382
Fujiang Xu China 7 180 0.6× 96 0.8× 11 0.1× 49 0.9× 92 1.7× 13 281
Hafiz Muhammad Jafar Hussain China 10 192 0.7× 29 0.2× 58 0.8× 21 0.4× 48 0.9× 28 311

Countries citing papers authored by Si Kee Tan

Since Specialization
Citations

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

Fields of papers citing papers by Si Kee Tan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Si Kee Tan. 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 Si Kee Tan. The network helps show where Si Kee Tan may publish in the future.

Co-authorship network of co-authors of Si Kee Tan

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

All Works

10 of 10 papers shown
1.
Zhang, Zhizhuo, Kern Rei Chng, Shreyas Lingadahalli, et al.. (2019). An AR-ERG transcriptional signature defined by long-range chromatin interactomes in prostate cancer cells. Genome Research. 29(2). 223–235. 28 indexed citations
2.
Hu, Jiamiao, Si Kee Tan, Michelle Gek Liang Lim, et al.. (2018). Identification of a Wells–Dawson polyoxometalate-based AP-2γ inhibitor with pro-apoptotic activity. Biochemical Journal. 475(11). 1965–1977. 9 indexed citations
3.
Ling, Ling, Si Kee Tan, Edwin Cheung, et al.. (2015). Targeting the heparin-binding domain of fibroblast growth factor receptor 1 as a potential cancer therapy. Molecular Cancer. 14(1). 136–136. 25 indexed citations
4.
New, Siu Yee, Khin Moh Moh Aung, Shuzhen Hong, et al.. (2014). Fast Screening of Ligand-Protein Interactions based on Ligand-Induced Protein Stabilization of Gold Nanoparticles. Analytical Chemistry. 86(5). 2361–2370. 21 indexed citations
5.
Lukman, Steven, Khin Moh Moh Aung, Michelle Gek Liang Lim, et al.. (2014). Hybrid assembly of DNA-coated gold nanoparticles with water soluble conjugated polymers for studying protein–DNA interaction and ligand inhibition. RSC Advances. 4(17). 8883–8883. 10 indexed citations
6.
Aung, Khin Moh Moh, Siu Yee New, Shuzhen Hong, et al.. (2013). Studying forkhead box protein A1–DNA interaction and ligand inhibition using gold nanoparticles, electrophoretic mobility shift assay, and fluorescence anisotropy. Analytical Biochemistry. 448. 95–104. 4 indexed citations
7.
Chng, Kern Rei, et al.. (2012). A transcriptional repressor co‐regulatory network governing androgen response in prostate cancers. The EMBO Journal. 31(12). 2810–2823. 120 indexed citations
8.
Tan, Si Kee, Cheng Chang, Kern Rei Chng, et al.. (2011). AP‐2γ regulates oestrogen receptor‐mediated long‐range chromatin interaction and gene transcription. The EMBO Journal. 30(13). 2569–2581. 119 indexed citations
9.
Tan, Si Kee, Cheng Chang, Kern Rei Chng, et al.. (2011). AP-2γ regulates oestrogen receptor-mediated long-range chromatin interaction and gene transcription. The EMBO Journal. 30(13). 2750–2750. 1 indexed citations
10.
Sun, Yang, et al.. (2009). Dynamic localization of tripartite motif-containing 22 in nuclear and nucleolar bodies. Experimental Cell Research. 315(8). 1521–1532. 20 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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