Han Kiat Ong

849 citations
42 papers · 663 indexed · h-index 16
Topics
MicroRNA in disease regulation (6 papers)Mesenchymal stem cell research (5 papers)Pluripotent Stem Cells Research (5 papers)

In The Last Decade

Han Kiat Ong

41 papers receiving 648 citations

Peers

Han Kiat Ong
Comparison fields: 5 of 108
  • Molecular Biology 329
  • Oncology 186
  • Cancer Research 120
  • Organic Chemistry 64
  • Genetics 47
Replace Yuko Kamata with:
Yuko Kamata Japan
Marit S Bratlie Norway
Alain Martoriati France
Doris L. Slate United States
Masae Ikura Japan
Krisztina Z. Bencze United States
Eri Yamamoto Japan
Yongbin Xu China
H. Kersten Germany
Kenneth B. Taylor United States
Han Kiat Ong relative to Yuko Kamata Japan Yuko Kamata's profile →
Citations per field
00.5×3.2×
Yuko Kamata · 1×
Citations per year

Countries citing papers authored by Han Kiat Ong

Since Specialization
Citations

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

Fields of papers citing papers by Han Kiat Ong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Han Kiat Ong

This figure shows the co-authorship network connecting the top 25 collaborators of Han Kiat Ong. A scholar is included among the top collaborators of Han Kiat 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 Han Kiat Ong. Han Kiat 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
#WorkIndexed citations
1 10
2 4
3 19
4 47
5
The effects of recirculating aquaculture system effluent water on the growth of Moina macrocopa (Straus)
2
6 8
7 20
8 32
9
Length-weight relationships of Acetes spp. sampled alongthe west coast of Peninsular Malaysia
1
10 7
11 3
12 19
13 11
14 5
15 41
16 4
17 37
18 13
19 33
20 9

About Han Kiat Ong

Han Kiat Ong is a scholar working on Aquatic Science, Cancer Research and Genetics, having authored 42 papers that have together received 663 indexed citations. Recurring topics across this work include MicroRNA in disease regulation (6 papers), Mesenchymal stem cell research (5 papers) and Pluripotent Stem Cells Research (5 papers). The work is most often cited by research in Cancer Research (120 citations), Periodontics (35 citations) and Molecular Medicine (37 citations). Han Kiat Ong has collaborated with scholars based in Malaysia, Vietnam and United Kingdom. Frequent co-authors include Swee Keong Yeap, Wan Yong Ho, Huỳnh Kỳ, Norlaily Mohd Ali, Soon Keng Cheong, Jeffrey D. Palmer, Sheau Wei Tan, Dilan Amila Satharasinghe, Chew Hee Ng and Raja Noor Zaliha Raja Abd Rahman. Their work appears in journals such as International Journal of Molecular Sciences, Molecules and Gene.

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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