Shen Kiat Lim

490 total citations
9 papers, 396 citations indexed

About

Shen Kiat Lim is a scholar working on Cell Biology, Molecular Biology and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, Shen Kiat Lim has authored 9 papers receiving a total of 396 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Cell Biology, 6 papers in Molecular Biology and 2 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in Shen Kiat Lim's work include Hippo pathway signaling and YAP/TAZ (5 papers), Wnt/β-catenin signaling in development and cancer (4 papers) and Ubiquitin and proteasome pathways (3 papers). Shen Kiat Lim is often cited by papers focused on Hippo pathway signaling and YAP/TAZ (5 papers), Wnt/β-catenin signaling in development and cancer (4 papers) and Ubiquitin and proteasome pathways (3 papers). Shen Kiat Lim collaborates with scholars based in Singapore and United States. Shen Kiat Lim's co-authors include Azhar Ali, Yoon Pin Lim, Siew Meng Chong, Frank Costantini, Sai Kiang Lim, Hongkyun Kim, Yew Koon Lim, Yanping Wang, Weiyi Toy and Liang Xu and has published in prestigious journals such as Journal of Biological Chemistry, Blood and Cancer Research.

In The Last Decade

Shen Kiat Lim

9 papers receiving 392 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Shen Kiat Lim Singapore	8	245	216	70	62	60	9	396
Muhammad Tariq Masood Khan Pakistan	9	299 1.2×	134 0.6×	51 0.7×	22 0.4×	15 0.3×	26	477
P. Wong United States	9	213 0.9×	74 0.3×	139 2.0×	46 0.7×	38 0.6×	16	419
Ken Asanuma Japan	8	163 0.7×	96 0.4×	71 1.0×	23 0.4×	14 0.2×	10	279
Karen K. Nelson United States	9	344 1.4×	201 0.9×	41 0.6×	107 1.7×	25 0.4×	12	503
Foued Ghanjati Germany	10	279 1.1×	59 0.3×	40 0.6×	33 0.5×	13 0.2×	13	370
Michelle M. Thiaville United States	11	422 1.7×	137 0.6×	45 0.6×	57 0.9×	27 0.5×	14	534
Hadas Grossman Israel	12	201 0.8×	41 0.2×	25 0.4×	33 0.5×	31 0.5×	17	473
Joana Catarina Macedo Portugal	8	203 0.8×	106 0.5×	52 0.7×	30 0.5×	10 0.2×	11	316
Ulf Schulze Germany	10	188 0.8×	152 0.7×	21 0.3×	39 0.6×	16 0.3×	13	340
Nobuyuki Tanimura Japan	9	207 0.8×	83 0.4×	68 1.0×	23 0.4×	7 0.1×	12	325

Countries citing papers authored by Shen Kiat Lim

Since Specialization

Citations

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

Fields of papers citing papers by Shen Kiat Lim

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shen Kiat Lim

This figure shows the co-authorship network connecting the top 25 collaborators of Shen Kiat Lim. A scholar is included among the top collaborators of Shen Kiat 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 Shen Kiat Lim. Shen Kiat 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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9 of 9 papers shown

Tabatabaeian, Hossein, et al.. (2021). WBP2 inhibits microRNA biogenesis via interaction with the microprocessor complex. Life Science Alliance. 4(7). e202101038–e202101038. 5 indexed citations

Lim, Shen Kiat, Hossein Tabatabaeian, Shinae Kang, et al.. (2020). Hippo/MST blocks breast cancer by downregulating WBP2 oncogene expression via miRNA processor Dicer. Cell Death and Disease. 11(8). 669–669. 13 indexed citations

Li, Zilin, Shen Kiat Lim, Liang Xu, & Yoon Pin Lim. (2018). The transcriptional coactivator WBP2 primes triple-negative breast cancer cells for responses to Wnt signaling via the JNK/Jun kinase pathway. Journal of Biological Chemistry. 293(52). 20014–20028. 20 indexed citations

Lim, Shen Kiat, Shinae Kang, Zilin Li, et al.. (2016). Wnt Signaling Promotes Breast Cancer by Blocking ITCH-Mediated Degradation of YAP/TAZ Transcriptional Coactivator WBP2. Cancer Research. 76(21). 6278–6289. 65 indexed citations

Lim, Shen Kiat, et al.. (2011). Tyrosine phosphorylation of transcriptional coactivator WW‐domain binding protein 2 regulates estrogen receptor α function in breast cancer via the Wnt pathway. The FASEB Journal. 25(9). 3004–3018. 47 indexed citations

Toy, Weiyi, et al.. (2009). EGF-induced tyrosine phosphorylation of Endofin is dependent on PI3K activity and proper localization to endosomes. Cellular Signalling. 22(3). 437–446. 7 indexed citations

Lim, Shen Kiat, et al.. (2007). Aurora-A kinase interacting protein 1 (AURKAIP1) promotes Aurora-A degradation through an alternative ubiquitin-independent pathway. Biochemical Journal. 403(1). 119–127. 48 indexed citations

Lim, Sai Kiang, Hongkyun Kim, Shen Kiat Lim, et al.. (1998). Increased Susceptibility in Hp Knockout Mice During Acute Hemolysis. Blood. 92(6). 1870–1877. 9 indexed citations

Lim, Sai Kiang, Hongkyun Kim, Shen Kiat Lim, et al.. (1998). Increased Susceptibility in Hp Knockout Mice During Acute Hemolysis. Blood. 92(6). 1870–1877. 182 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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