Jhi Biau Foo
- Molecular Biology top 10%
- Cancer Research top 10%
- Physiology top 10%
- Biomaterials top 10%
- Plant Science
- Co-authors
- Chee Wun HowYong Sze OngLatifah Saiful YazanYin Sim TorMaznah IsmailJian Sheng LohLi TanNorsharina Ismail
- Topics
- Extracellular vesicles in disease (14 papers)MicroRNA in disease regulation (10 papers)Mesenchymal stem cell research (8 papers)
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONEInternational Journal of Molecular Sciences
- Partner nations
- MalaysiaUnited KingdomChina
In The Last Decade
Jhi Biau Foo
60 papers receiving 2.0k citations
Hit Papers
Peers
Comparison fields: 5 of 121
- Molecular Biology 1.0k
- Cancer Research 229
- Physiology 215
- Biomaterials 169
- Plant Science 154
Countries citing papers authored by Jhi Biau Foo
This map shows the geographic impact of Jhi Biau Foo'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 Jhi Biau Foo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jhi Biau Foo more than expected).
Fields of papers citing papers by Jhi Biau Foo
This network shows the impact of papers produced by Jhi Biau Foo. 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 Jhi Biau Foo. The network helps show where Jhi Biau Foo may publish in the future.
Co-authorship network of co-authors of Jhi Biau Foo
This figure shows the co-authorship network connecting the top 25 collaborators of Jhi Biau Foo. A scholar is included among the top collaborators of Jhi Biau Foo 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 Jhi Biau Foo. Jhi Biau Foo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 5 | |
| 5 | 13 | |
| 6 | 8 | |
| 7 | 1 | |
| 8 | 31 | |
| 9 | 35 | |
| 10 | 24 | |
| 11 | 38 | |
| 12 | 7 | |
| 13 | 7 | |
| 14 | 46 | |
| 15 | 8 | |
| 16 | 2 | |
| 17 | 38 | |
| 18 | 67 | |
| 19 | Kenaf seed oil from supercritical carbon dioxide fluid extraction induced G1 phase cell cycle arrest and apoptosis in leukemia cells | 16 |
| 20 | Kenaf seed oil from supercritical carbon dioxide fluid extraction shows cytotoxic effects towards various cancer cell lines | 14 |
About Jhi Biau Foo
Jhi Biau Foo is a scholar working on Toxicology, Pharmacology and Applied Microbiology and Biotechnology, having authored 65 papers that have together received 2.0k indexed citations. Recurring topics across this work include Extracellular vesicles in disease (14 papers), MicroRNA in disease regulation (10 papers) and Mesenchymal stem cell research (8 papers). The work is most often cited by research in Biological Psychiatry (109 citations), Toxicology (78 citations) and Biochemistry (101 citations). Jhi Biau Foo has collaborated with scholars based in Malaysia, United Kingdom and China. Frequent co-authors include Chee Wun How, Yong Sze Ong, Latifah Saiful Yazan, Yin Sim Tor, Maznah Ismail, Jian Sheng Loh, Li Tan, Norsharina Ismail, Kooi Yeong Khaw and Chu Xin Ng. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and International Journal of Molecular Sciences.
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.