Wai Kit Ong

4.1k citations
15 papers · 2.5k indexed · 3 hit papers · h-index 12
Topics
Microbial Metabolic Engineering and Bioproduction (14 papers)Biofuel production and bioconversion (6 papers)Bioinformatics and Genomic Networks (6 papers)

In The Last Decade

Wai Kit Ong

15 papers receiving 2.5k citations

Hit Papers

The MetaCyc database of metabolic pathways and enzymes - ...2017202620202023201920172017250500750

Peers

Wai Kit Ong
Comparison fields: 5 of 138
  • Molecular Biology 1.9k
  • Ecology 353
  • Biomedical Engineering 304
  • Genetics 268
  • Food Science 173
Replace Daniel Weaver with:
Daniel Weaver United States
Vineet K. Sharma India
Hartmut Foerster United States
Meg Pirrung United States
Jeremy Zucker United States
Eugeni Belda France
Quang Ong United States
Miguel Boland United Kingdom
Meina Neumann‐Schaal Germany
Andrew C. Tolonen United States
Wai Kit Ong relative to Daniel Weaver United States Daniel Weaver's profile →
Citations per field
00.5×11×
Daniel Weaver · 1×
Citations per year

Countries citing papers authored by Wai Kit Ong

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of Wai Kit Ong

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

All Works

15 of 15 papers shown
#WorkIndexed citations
1 146
2 4
3 12
4 29
5 14
6 18
7 8
8
The MetaCyc database of metabolic pathways and enzymes - a 2019 updatebreakdown →
795
9 3
10 135
11 66
12
The MetaCyc database of metabolic pathways and enzymesbreakdown →
597
13
The BioCyc collection of microbial genomes and metabolic pathwaysbreakdown →
594
14 82
15 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) and Bioinformatics and Genomic Networks (6 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 Nucleic Acids Research, Bioinformatics and The FASEB Journal.

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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