Wai Kit Ong
- Molecular Biology top 5%
- Microbial Metabolic Engineering and Bioproduction 14
- Bioinformatics and Genomic Networks 6
- Metabolomics and Mass Spectrometry Studies 3
- Gene Regulatory Network Analysis 3
- Enzyme Catalysis and Immobilization 2
- Biomedical Text Mining and Ontologies 2
- Biological Psychiatry top 10%
- Ecology top 5%
- Molecular Medicine top 10%
- Endocrinology top 10%
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- Biofuel production and bioconversion 6
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- Bacterial Genetics and Biotechnology 2
- Co-authors
- Peter D. KarpPeter MidfordMarkus KrummenackerSuzanne PaleyPallavi SubhravetiIngrid M. KeselerRon CaspiRichard Billington
- Journals
- Frontiers in Microbiology (3 papers)Briefings in Bioinformatics (2 papers)Nucleic Acids Research (2 papers)
- Partner nations
- United StatesAustraliaMexico
In The Last Decade
Wai Kit Ong
15 papers receiving 2.5k citations
Hit Papers
Peers
Comparison fields: 5 of 138
- Molecular Biology 1.9k
- Biological Psychiatry 39
- Ecology 353
- Molecular Medicine 62
- Endocrinology 50
Countries citing papers authored by Wai Kit Ong
This map shows the geographic impact of Wai Kit 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 Wai Kit Ong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wai Kit Ong more than expected).
Fields of papers citing papers by Wai Kit Ong
This network shows the impact of papers produced by Wai Kit 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 Wai Kit Ong. The network helps show where Wai Kit Ong may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Wai Kit Ong, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 146 | |
| 2 | 2021 | 4 | |
| 3 | 2020 | 12 | |
| 4 | 2020 | 29 | |
| 5 | 2019 | 14 | |
| 6 | 2019 | 18 | |
| 7 | 2019 | 8 | |
| 8 | The MetaCyc database of metabolic pathways and enzymes - a 2019 updatebreakdown → | 2019 | 795 |
| 9 | 2019 | 3 | |
| 10 | 2019 | 135 | |
| 11 | 2018 | 66 | |
| 12 | The MetaCyc database of metabolic pathways and enzymesbreakdown → | 2017 | 597 |
| 13 | The BioCyc collection of microbial genomes and metabolic pathwaysbreakdown → | 2017 | 594 |
| 14 | 2015 | 82 | |
| 15 | 2014 | 29 |
About Wai Kit Ong
Wai Kit Ong is a scholar working on Molecular Biology, Biomedical Engineering and Genetics, having authored 15 papers that have together received 2.5k indexed citations. Recurring topics across this work include Microbial Metabolic Engineering and Bioproduction (14 papers), Biofuel production and bioconversion (6 papers), Bioinformatics and Genomic Networks (6 papers), Metabolomics and Mass Spectrometry Studies (3 papers), Gene Regulatory Network Analysis (3 papers), Enzyme Catalysis and Immobilization (2 papers), Bacterial Genetics and Biotechnology (2 papers) and Biomedical Text Mining and Ontologies (2 papers). The work is most often cited by research in Molecular Biology (1.9k citations), Biological Psychiatry (39 citations) and Ecology (353 citations). Wai Kit Ong has collaborated with scholars based in United States, Australia and Mexico. Frequent co-authors include Peter D. Karp, Peter Midford, Markus Krummenacker, Suzanne Paley, Pallavi Subhraveti, Ingrid M. Keseler, Ron Caspi, Richard Billington, Anamika Kothari and Mario Latendresse. Their work appears in journals such as Frontiers in Microbiology, Briefings in Bioinformatics, Nucleic Acids Research, PLoS Computational Biology and BMC Systems Biology.
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.