Soon Guan Tan
- Pollution top 0.5%
- Health, Toxicology and Mutagenesis top 1%
- Genetics top 2%
- Plant Science top 2%
- Molecular Biology top 10%
- Co-authors
- Chee Kong YapAhmad IsmailHishamuddin OmarA. Rahim IsmailKhatijah YusoffWei Lun NgJ. S. F. BarkerNur Ain Izzati Mohd Zainudin
- Topics
- Heavy metals in environment (56 papers)Genetic diversity and population structure (46 papers)Identification and Quantification in Food (29 papers)
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONEScientific Reports
In The Last Decade
Soon Guan Tan
261 papers receiving 4.3k citations
Peers
Comparison fields: 5 of 164
- Pollution 1.2k
- Health, Toxicology and Mutagenesis 1.0k
- Genetics 973
- Plant Science 897
- Molecular Biology 884
Countries citing papers authored by Soon Guan Tan
This map shows the geographic impact of Soon Guan Tan'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 Soon Guan Tan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Soon Guan Tan more than expected).
Fields of papers citing papers by Soon Guan Tan
This network shows the impact of papers produced by Soon Guan Tan. 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 Soon Guan Tan. The network helps show where Soon Guan Tan may publish in the future.
Co-authorship network of co-authors of Soon Guan Tan
This figure shows the co-authorship network connecting the top 25 collaborators of Soon Guan Tan. A scholar is included among the top collaborators of Soon Guan Tan 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 Soon Guan Tan. Soon Guan Tan 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 | 3 | |
| 3 | 4 | |
| 4 | 17 | |
| 5 | 21 | |
| 6 | Genetic variation of four goat breeds in Malaysia using microsatellite polymorphism markers. | 5 |
| 7 | 5 | |
| 8 | Comparative biodiversity and effect of different media on growth and astaxanthin content of nine geographical strains of Haematococcus pluvialis | 5 |
| 9 | Is the High Cu Tolerance of Trichoderma atroviride Isolated from the Cu-Polluted Sediment Due to Adaptation? An In Vitro Toxicological Study | 3 |
| 10 | Lead in surface sediments of the Straits of Malacca | 4 |
| 11 | 5 | |
| 12 | 28 | |
| 13 | 12 | |
| 14 | 4 | |
| 15 | 3 | |
| 16 | 3 | |
| 17 | 6 | |
| 18 | 20 | |
| 19 | 13 | |
| 20 | 11 |
About Soon Guan Tan
Soon Guan Tan is a scholar working on Pollution, Aquatic Science and Horticulture, having authored 269 papers that have together received 4.8k indexed citations. Recurring topics across this work include Heavy metals in environment (56 papers), Genetic diversity and population structure (46 papers) and Identification and Quantification in Food (29 papers). The work is most often cited by research in Pollution (1.2k citations), Health, Toxicology and Mutagenesis (1.0k citations) and Aquatic Science (299 citations). Soon Guan Tan has collaborated with scholars based in Malaysia, Australia and Iran. Frequent co-authors include Chee Kong Yap, Ahmad Ismail, Hishamuddin Omar, A. Rahim Ismail, Khatijah Yusoff, Wei Lun Ng, J. S. F. Barker, Nur Ain Izzati Mohd Zainudin, S. S. Moore and Swee Keong Yeap. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.
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.