Ka Diam Go
- Molecular Biology
- Spectroscopy top 10%
- Computational Theory and Mathematics top 10%
- Public Health, Environmental and Occupational Health
- Cell Biology
- Co-authors
- Nayana PrabhuRadoslaw M. SobotaP. NordlundLingyun DaiYan Ting LimChris Soon Heng TanJohan LengqvistVinay Tergaonkar
- Topics
- Bioinformatics and Genomic Networks (2 papers)Malaria Research and Control (2 papers)Machine Learning in Bioinformatics (1 paper)
- Journals
- ScienceNature CommunicationsPLoS ONE
In The Last Decade
Ka Diam Go
6 papers receiving 337 citations
Peers
Comparison fields: 5 of 62
- Molecular Biology 253
- Spectroscopy 95
- Computational Theory and Mathematics 54
- Public Health, Environmental and Occupational Health 53
- Cell Biology 48
Countries citing papers authored by Ka Diam Go
This map shows the geographic impact of Ka Diam Go'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 Ka Diam Go with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ka Diam Go more than expected).
Fields of papers citing papers by Ka Diam Go
This network shows the impact of papers produced by Ka Diam Go. 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 Ka Diam Go. The network helps show where Ka Diam Go may publish in the future.
Co-authorship network of co-authors of Ka Diam Go
This figure shows the co-authorship network connecting the top 25 collaborators of Ka Diam Go. A scholar is included among the top collaborators of Ka Diam Go 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 Ka Diam Go. Ka Diam Go is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 8 | |
| 3 | 77 | |
| 4 | 152 | |
| 5 | 41 | |
| 6 | 61 | |
| 7 | 1 |
About Ka Diam Go
Ka Diam Go is a scholar working on Virology, Cell Biology and Physical and Theoretical Chemistry, having authored 7 papers that have together received 340 indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (2 papers), Malaria Research and Control (2 papers) and Machine Learning in Bioinformatics (1 paper). The work is most often cited by research in Spectroscopy (95 citations), Molecular Biology (253 citations) and Computational Theory and Mathematics (54 citations). Ka Diam Go has collaborated with scholars based in Singapore, Sweden and Australia. Frequent co-authors include Nayana Prabhu, Radoslaw M. Sobota, P. Nordlund, Lingyun Dai, Yan Ting Lim, Chris Soon Heng Tan, Johan Lengqvist, Vinay Tergaonkar, Xavier Bisteau and Philipp Kaldis. Their work appears in journals such as Science, Nature Communications and PLoS ONE.
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.