Siew‐Min Ong

2.3k total citations · 1 hit paper
20 papers, 1.8k citations indexed

About

Siew‐Min Ong is a scholar working on Immunology, Molecular Biology and Biomedical Engineering. According to data from OpenAlex, Siew‐Min Ong has authored 20 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Immunology, 8 papers in Molecular Biology and 7 papers in Biomedical Engineering. Recurrent topics in Siew‐Min Ong's work include Immune cells in cancer (7 papers), 3D Printing in Biomedical Research (6 papers) and Immune Response and Inflammation (5 papers). Siew‐Min Ong is often cited by papers focused on Immune cells in cancer (7 papers), 3D Printing in Biomedical Research (6 papers) and Immune Response and Inflammation (5 papers). Siew‐Min Ong collaborates with scholars based in Singapore, United States and France. Siew‐Min Ong's co-authors include Siew Cheng Wong, Wei Hseun Yeap, Kok Loon Wong, Hanry Yu, Danny van Noort, Linda Wang, Khoon Lin Ling, Éva Hadadi, Shufang Zhang and Truong‐Minh Dang and has published in prestigious journals such as The Journal of Immunology, Biomaterials and Advanced Drug Delivery Reviews.

In The Last Decade

Siew‐Min Ong

20 papers receiving 1.8k citations

Hit Papers

The three human monocyte subsets: implications for health... 2012 2026 2016 2021 2012 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Siew‐Min Ong Singapore 20 870 451 376 358 168 20 1.8k
Howard Meyerson United States 27 731 0.8× 603 1.3× 445 1.2× 333 0.9× 193 1.1× 114 2.6k
Kaiyong Yang China 22 1.3k 1.6× 564 1.3× 305 0.8× 203 0.6× 310 1.8× 37 2.3k
Zewen Kelvin Tuong Australia 24 903 1.0× 643 1.4× 349 0.9× 189 0.5× 290 1.7× 63 2.0k
Javier G. Casado Spain 26 1.1k 1.3× 404 0.9× 426 1.1× 188 0.5× 170 1.0× 55 2.0k
Luciana Cavalheiro Marti Brazil 20 487 0.6× 440 1.0× 344 0.9× 171 0.5× 154 0.9× 74 1.6k
Akio Mitani Japan 25 585 0.7× 574 1.3× 193 0.5× 215 0.6× 115 0.7× 76 2.0k
Leonid Izikson United States 15 801 0.9× 203 0.5× 504 1.3× 151 0.4× 129 0.8× 23 1.8k
Toralf Roch Germany 20 1.4k 1.6× 313 0.7× 229 0.6× 138 0.4× 158 0.9× 70 2.3k
Mercè Martı́ Spain 24 730 0.8× 675 1.5× 168 0.4× 277 0.8× 195 1.2× 61 1.8k
Koichiro Takahashi Japan 25 668 0.8× 543 1.2× 228 0.6× 354 1.0× 261 1.6× 117 2.3k

Countries citing papers authored by Siew‐Min Ong

Since Specialization
Citations

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

Fields of papers citing papers by Siew‐Min Ong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Siew‐Min 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 Siew‐Min Ong. The network helps show where Siew‐Min Ong may publish in the future.

Co-authorship network of co-authors of Siew‐Min Ong

This figure shows the co-authorship network connecting the top 25 collaborators of Siew‐Min Ong. A scholar is included among the top collaborators of Siew‐Min 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 Siew‐Min Ong. Siew‐Min Ong 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.
Ong, Siew‐Min, Karen Wei Weng Teng, Evan W. Newell, et al.. (2019). A Novel, Five-Marker Alternative to CD16–CD14 Gating to Identify the Three Human Monocyte Subsets. Frontiers in Immunology. 10. 1761–1761. 74 indexed citations
2.
Yeap, Wei Hseun, Siew‐Min Ong, Éva Hadadi, et al.. (2018). Novel dual-targeting anti-proliferative dihydrotriazine-chalcone derivatives display suppression of cancer cell invasion and inflammation by inhibiting the NF-κB signaling pathway. Food and Chemical Toxicology. 116(Pt B). 238–248. 22 indexed citations
3.
Ong, Siew‐Min, Éva Hadadi, Truong‐Minh Dang, et al.. (2018). The pro-inflammatory phenotype of the human non-classical monocyte subset is attributed to senescence. Cell Death and Disease. 9(3). 266–266. 177 indexed citations
4.
Champion, Thomas, Lynda J. Partridge, Siew‐Min Ong, et al.. (2018). Monocyte Subsets Have Distinct Patterns of Tetraspanin Expression and Different Capacities to Form Multinucleate Giant Cells. Frontiers in Immunology. 9. 1247–1247. 20 indexed citations
5.
Hadadi, Éva, Biyan Zhang, Kia Joo Puan, et al.. (2016). Differential IL-1β secretion by monocyte subsets is regulated by Hsp27 through modulating mRNA stability. Scientific Reports. 6(1). 39035–39035. 49 indexed citations
7.
Ong, Siew‐Min, Subhra K. Biswas, & Siew Cheng Wong. (2015). MicroRNA-mediated immune modulation as a therapeutic strategy in host-implant integration. Advanced Drug Delivery Reviews. 88. 92–107. 22 indexed citations
8.
Dang, Truong‐Minh, Wing‐Cheong Wong, Siew‐Min Ong, et al.. (2015). MicroRNA expression profiling of human blood monocyte subsets highlights functional differences. Immunology. 145(3). 404–416. 28 indexed citations
9.
Wong, Kok Loon, et al.. (2012). The three human monocyte subsets: implications for health and disease. Immunologic Research. 53(1-3). 41–57. 521 indexed citations breakdown →
10.
Wang, Linda, et al.. (2012). Increased Myeloid-Derived Suppressor Cells in Gastric Cancer Correlate with Cancer Stage and Plasma S100A8/A9 Proinflammatory Proteins. The Journal of Immunology. 190(2). 794–804. 214 indexed citations
11.
Ong, Siew‐Min, Ottavio Beretta, Dongsheng Jiang, et al.. (2011). Macrophages in human colorectal cancer are pro‐inflammatory and prime T cells towards an anti‐tumour type‐1 inflammatory response. European Journal of Immunology. 42(1). 89–100. 114 indexed citations
12.
Zhao, Chen, W. Wei‐Lynn Wong, Xiaohui Sem, et al.. (2010). The CD14+/lowCD16+ monocyte subset is more susceptible to spontaneous and oxidant-induced apoptosis than the CD14+CD16− subset. Cell Death and Disease. 1(11). e95–e95. 45 indexed citations
13.
Ong, Siew‐Min, Ziqing Zhao, Talha Arooz, et al.. (2009). Engineering a scaffold-free 3D tumor model for in vitro drug penetration studies. Biomaterials. 31(6). 1180–1190. 110 indexed citations
14.
Zhang, Chi, Ser‐Mien Chia, Siew‐Min Ong, et al.. (2009). The controlled presentation of TGF-β1 to hepatocytes in a 3D-microfluidic cell culture system. Biomaterials. 30(23-24). 3847–3853. 29 indexed citations
15.
Noort, Danny van, Siew‐Min Ong, Chi Zhang, et al.. (2009). Stem cells in microfluidics. Biotechnology Progress. 25(1). 52–60. 60 indexed citations
16.
Zhao, Changqing, Huoming Zhang, Wing‐Cheong Wong, et al.. (2009). Identification of Novel Functional Differences in Monocyte Subsets Using Proteomic and Transcriptomic Methods. Journal of Proteome Research. 8(8). 4028–4038. 76 indexed citations
17.
Zhang, Shufang, Xia Lei, Guangfa Xiao, et al.. (2008). Microfabricated silicon nitride membranes for hepatocyte sandwich culture. Biomaterials. 29(29). 3993–4002. 20 indexed citations
18.
Ong, Siew‐Min, Chi Zhang, Yi‐Chin Toh, et al.. (2008). A gel-free 3D microfluidic cell culture system. Biomaterials. 29(22). 3237–3244. 131 indexed citations
19.
Zhao, Deqiang, Siew‐Min Ong, Zhilian Yue, et al.. (2008). Dendrimer hydrazides as multivalent transient inter-cellular linkers. Biomaterials. 29(27). 3693–3702. 19 indexed citations
20.
Ong, Siew‐Min, Lijuan He, Talha Arooz, et al.. (2007). Transient inter-cellular polymeric linker. Biomaterials. 28(25). 3656–3667. 22 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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