Swee Hoe Ong

4.5k total citations · 1 hit paper
41 papers, 2.5k citations indexed

About

Swee Hoe Ong is a scholar working on Molecular Biology, Oncology and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Swee Hoe Ong has authored 41 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Molecular Biology, 6 papers in Oncology and 6 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Swee Hoe Ong's work include Mosquito-borne diseases and control (6 papers), Genomics and Phylogenetic Studies (4 papers) and Epigenetics and DNA Methylation (4 papers). Swee Hoe Ong is often cited by papers focused on Mosquito-borne diseases and control (6 papers), Genomics and Phylogenetic Studies (4 papers) and Epigenetics and DNA Methylation (4 papers). Swee Hoe Ong collaborates with scholars based in United Kingdom, Singapore and Malaysia. Swee Hoe Ong's co-authors include Martin L. Hibberd, Pauline Aw, Niranjan Nagarajan, Andreas Wilm, Denis Bertrand, Grace Hui Ting Yeo, Chiea Chuen Khor, Rosemary Petric, Yuen May Choo and S. H. Goh and has published in prestigious journals such as Nature, Nucleic Acids Research and Nature Communications.

In The Last Decade

Swee Hoe Ong

40 papers receiving 2.4k citations

Hit Papers

LoFreq: a sequence-quality aware, ultra-sensitive variant... 2012 2026 2016 2021 2012 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Swee Hoe Ong United Kingdom 22 947 709 375 370 304 41 2.5k
Hong Xie United States 28 1.2k 1.3× 684 1.0× 486 1.3× 235 0.6× 134 0.4× 103 2.7k
Aarthi Narayanan United States 30 1.2k 1.3× 1.0k 1.5× 225 0.6× 575 1.6× 171 0.6× 106 2.9k
Covadonga Alonso Spain 41 1.4k 1.5× 1.5k 2.2× 175 0.5× 164 0.4× 394 1.3× 93 5.5k
Nicolás Villegas‐Sepúlveda Mexico 26 785 0.8× 550 0.8× 209 0.6× 295 0.8× 127 0.4× 71 1.9k
Peadar Ó Gaora Ireland 34 1.3k 1.4× 926 1.3× 187 0.5× 537 1.5× 976 3.2× 68 4.0k
María Salas Spain 48 2.0k 2.1× 1.2k 1.6× 244 0.7× 114 0.3× 512 1.7× 208 7.2k
Ping Zhao China 29 1.1k 1.1× 732 1.0× 426 1.1× 345 0.9× 136 0.4× 154 3.0k
Denis Bertrand Singapore 14 987 1.0× 300 0.4× 252 0.7× 95 0.3× 283 0.9× 39 1.8k
Ping Tang Taiwan 28 1.1k 1.1× 230 0.3× 415 1.1× 211 0.6× 105 0.3× 99 2.4k
Ricardo Rajsbaum United States 31 1.3k 1.4× 1.8k 2.6× 283 0.8× 766 2.1× 198 0.7× 54 4.5k

Countries citing papers authored by Swee Hoe Ong

Since Specialization
Citations

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

Fields of papers citing papers by Swee Hoe Ong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Swee Hoe Ong

This figure shows the co-authorship network connecting the top 25 collaborators of Swee Hoe Ong. A scholar is included among the top collaborators of Swee Hoe 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 Swee Hoe Ong. Swee Hoe 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
2.
Chang, Hong, Mingxia Li, Linlin Zhang, et al.. (2024). Loss of histone deubiquitinase Bap1 triggers anti-tumor immunity. Cellular Oncology. 48(1). 183–203. 3 indexed citations
3.
Abby, Emilie, Stefan C. Dentro, Michael Hall, et al.. (2023). Notch1 mutations drive clonal expansion in normal esophageal epithelium but impair tumor growth. Nature Genetics. 55(2). 232–245. 50 indexed citations
4.
Murai, Kasumi, Stefan C. Dentro, Swee Hoe Ong, et al.. (2022). p53 mutation in normal esophagus promotes multiple stages of carcinogenesis but is constrained by clonal competition. Nature Communications. 13(1). 6206–6206. 25 indexed citations
5.
Colom, Bartomeu, Albert Herms, Michael Hall, et al.. (2021). Mutant clones in normal epithelium outcompete and eliminate emerging tumours. Nature. 598(7881). 510–514. 105 indexed citations
6.
Gu, Muxin, Étienne De Braekeleer, Malgorzata Gozdecka, et al.. (2020). KAT7 is a genetic vulnerability of acute myeloid leukemias driven by MLL rearrangements. Leukemia. 35(4). 1012–1022. 33 indexed citations
7.
Colom, Bartomeu, Maria P. Alcolea, Gabriel Piedrafita, et al.. (2020). Spatial competition shapes the dynamic mutational landscape of normal esophageal epithelium. Nature Genetics. 52(6). 604–614. 106 indexed citations
8.
Bassano, Irene, Swee Hoe Ong, Michal Vinkler, et al.. (2019). Comparative analysis of the chicken IFITM locus by targeted genome sequencing reveals evolution of the locus and positive selection in IFITM1 and IFITM3. BMC Genomics. 20(1). 272–272. 7 indexed citations
9.
Fernández‐Antorán, David, Gabriel Piedrafita, Kasumi Murai, et al.. (2019). Outcompeting p53-Mutant Cells in the Normal Esophagus by Redox Manipulation. Cell stem cell. 25(3). 329–341.e6. 77 indexed citations
10.
Murai, Kasumi, Gabriel Piedrafita, Michael Hall, et al.. (2018). Epidermal Tissue Adapts to Restrain Progenitors Carrying Clonal p53 Mutations. Cell stem cell. 23(5). 687–699.e8. 60 indexed citations
11.
Bassano, Irene, et al.. (2017). Accurate characterization of the IFITM locus using MiSeq and PacBio sequencing shows genetic variation in Galliformes. BMC Genomics. 18(1). 419–419. 12 indexed citations
12.
Ong, Swee Hoe, Yilong Li, Hiroko Koike-Yusa, & Kosuke Yusa. (2017). Optimised metrics for CRISPR-KO screens with second-generation gRNA libraries. Scientific Reports. 7(1). 7384–7384. 28 indexed citations
13.
Cornelissen, Marion, Astrid Gall, Monique Vink, et al.. (2016). From clinical sample to complete genome: Comparing methods for the extraction of HIV-1 RNA for high-throughput deep sequencing. Virus Research. 239. 10–16. 17 indexed citations
14.
Inaki, Koichiro, Francesca Menghi, Xing Yi Woo, et al.. (2014). Systems consequences of amplicon formation in human breast cancer. Genome Research. 24(10). 1559–1571. 21 indexed citations
15.
Ong, Swee Hoe, Andreas Wilm, Christophe Lay, et al.. (2013). Species Identification and Profiling of Complex Microbial Communities Using Shotgun Illumina Sequencing of 16S rRNA Amplicon Sequences. PLoS ONE. 8(4). e60811–e60811. 72 indexed citations
16.
Leeuwen, Anne C. van, Swee Hoe Ong, Arjan Vissink, Dirk W. Grijpma, & R.R.M. Bos. (2012). Reconstruction of orbital wall defects: Recommendations based on a mathematical model. Experimental Eye Research. 97(1). 10–18. 16 indexed citations
17.
Christenbury, Joseph G., Pauline Aw, Swee Hoe Ong, et al.. (2010). A method for full genome sequencing of all four serotypes of the dengue virus. Journal of Virological Methods. 169(1). 202–206. 70 indexed citations
18.
Schreiber, Mark, Edward C. Holmes, Swee Hoe Ong, et al.. (2009). Genomic Epidemiology of a Dengue Virus Epidemic in Urban Singapore. Journal of Virology. 83(9). 4163–4173. 83 indexed citations
19.
Ong, Swee Hoe, Yen‐Liang Chen, Wei Liu, et al.. (2007). Periodic re-emergence of endemic strains with strong epidemic potential—A proposed explanation for the 2004 Indonesian dengue epidemic. Infection Genetics and Evolution. 8(2). 191–204. 56 indexed citations
20.
Berger, K. G. & Swee Hoe Ong. (1985). The industrial uses of palm and coconut oils.. Oléagineux. 40(12). 613–624. 12 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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