Hong Ooi

8.0k total citations
10 papers, 681 citations indexed

About

Hong Ooi is a scholar working on Molecular Biology, Cancer Research and Pharmacology. According to data from OpenAlex, Hong Ooi has authored 10 papers receiving a total of 681 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 2 papers in Cancer Research and 1 paper in Pharmacology. Recurrent topics in Hong Ooi's work include Genomics and Phylogenetic Studies (4 papers), RNA modifications and cancer (3 papers) and Cancer-related molecular mechanisms research (2 papers). Hong Ooi is often cited by papers focused on Genomics and Phylogenetic Studies (4 papers), RNA modifications and cancer (3 papers) and Cancer-related molecular mechanisms research (2 papers). Hong Ooi collaborates with scholars based in Singapore, Denmark and China. Hong Ooi's co-authors include Xiaodong Zhao, Kuo Ping Chiu, Yijun Ruan, Chia‐Lin Wei, Wing‐Kin Sung, Fei Yao, Vladimir A. Kuznetsov, Atif Shahab, Jason T. Yustein and Charlie W. H. Lee and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Scientific Reports and Genome Research.

In The Last Decade

Hong Ooi

9 papers receiving 675 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Hong Ooi Singapore	8	579	199	94	58	37	10	681
Senthilkumar Cinghu United States	12	706 1.2×	156 0.8×	136 1.4×	54 0.9×	33 0.9×	16	842
Mary Truscott United States	12	423 0.7×	181 0.9×	78 0.8×	59 1.0×	18 0.5×	12	540
Hélène Dumay‐Odelot France	13	774 1.3×	110 0.6×	120 1.3×	53 0.9×	21 0.6×	16	858
Anastasia Tsaalbi‐Shtylik Netherlands	11	456 0.8×	175 0.9×	100 1.1×	26 0.4×	53 1.4×	14	515
Swee Seong Wong United States	6	540 0.9×	102 0.5×	146 1.6×	88 1.5×	60 1.6×	6	688
Sophia X. Pfister United Kingdom	9	831 1.4×	139 0.7×	216 2.3×	60 1.0×	50 1.4×	11	959
Alkmini Kalousi Greece	10	574 1.0×	275 1.4×	159 1.7×	67 1.2×	19 0.5×	13	712
Wei Jiao China	14	373 0.6×	287 1.4×	58 0.6×	93 1.6×	67 1.8×	30	566
Linda Baskcomb United Kingdom	5	693 1.2×	111 0.6×	208 2.2×	76 1.3×	22 0.6×	5	772
Sriganesh Jammula United Kingdom	12	917 1.6×	196 1.0×	142 1.5×	105 1.8×	44 1.2×	14	1.2k

Countries citing papers authored by Hong Ooi

Since Specialization

Citations

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

Fields of papers citing papers by Hong Ooi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hong Ooi. 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 Hong Ooi. The network helps show where Hong Ooi may publish in the future.

Co-authorship network of co-authors of Hong Ooi

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

All Works

Sort: Min cites: Since: Top N: Style:

10 of 10 papers shown

1.

Chiu, Kuo‐Ping, et al.. (2023). Genome sequencing and application of Taiwanese macaque Macaca cyclopis. Scientific Reports. 13(1). 11545–11545.

2.

Sun, Xue, Jun Wu, Guangce Wang, et al.. (2018). Genomic analyses of unique carbohydrate and phytohormone metabolism in the macroalga Gracilariopsis lemaneiformis (Rhodophyta). BMC Plant Biology. 18(1). 94–94. 24 indexed citations

3.

Christensen, Jane, Jonatan Pallesen, Manuel Mattheisen, et al.. (2016). Identification of the BRD1 interaction network and its impact on mental disorder risk. Genome Medicine. 8(1). 53–53. 24 indexed citations

4.

Qi, Ying, Hong Ooi, Jun Wu, et al.. (2016). MALAT1 long ncRNA promotes gastric cancer metastasis by suppressing PCDH10. Oncotarget. 7(11). 12693–12703. 89 indexed citations

5.

Kang, Yani, Hong Ooi, Tingting Shen, et al.. (2014). Genome-wide profiling of untranslated regions by paired-end ditag sequencing reveals unexpected transcriptome complexity in yeast. Molecular Genetics and Genomics. 290(1). 217–224. 6 indexed citations

6.

Ooi, Hong, et al.. (2009). Databases of Protein–Protein Interactions and Complexes. Methods in molecular biology. 609. 145–159. 19 indexed citations

7.

Ooi, Hong, et al.. (2009). Biomolecular Pathway Databases. Methods in molecular biology. 609. 129–144. 20 indexed citations

8.

Ruan, Yijun, Hong Ooi, Siew Woh Choo, et al.. (2007). Fusion transcripts and transcribed retrotransposed loci discovered through comprehensive transcriptome analysis using Paired-End diTags (PETs). Genome Research. 17(6). 828–838. 67 indexed citations

9.

Chiu, Kuo Ping, Chee‐Hong Wong, Qiongyu Chen, et al.. (2006). PET-Tool: a software suite for comprehensive processing and managing of Paired-End diTag (PET) sequence data. BMC Bioinformatics. 7(1). 390–390. 23 indexed citations

10.

Zeller, Karen, Xiaodong Zhao, Charlie W. H. Lee, et al.. (2006). Global mapping of c-Myc binding sites and target gene networks in human B cells. Proceedings of the National Academy of Sciences. 103(47). 17834–17839. 409 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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