S. M. Wong
- Plant Science top 5%
- Molecular Biology
- Endocrinology top 5%
- Biotechnology top 10%
- Insect Science
- Co-authors
- Choon‐Peng ChngHaitao YuKandhadayar G. SrinivasanF. W. ZettlerChong‐Jin GohK. H. RyuPeter PalukaitisAmit Gal‐On
- Topics
- Plant Virus Research Studies (20 papers)Plant Pathogenic Bacteria Studies (10 papers)Plant and Fungal Interactions Research (8 papers)
- Partner nations
- SingaporeUnited StatesSouth Korea
In The Last Decade
S. M. Wong
25 papers receiving 380 citations
Peers
Comparison fields: 5 of 35
- Plant Science 380
- Molecular Biology 111
- Endocrinology 111
- Biotechnology 54
- Insect Science 41
Countries citing papers authored by S. M. Wong
This map shows the geographic impact of S. M. Wong'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 S. M. Wong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites S. M. Wong more than expected).
Fields of papers citing papers by S. M. Wong
This network shows the impact of papers produced by S. M. Wong. 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 S. M. Wong. The network helps show where S. M. Wong may publish in the future.
Co-authorship network of co-authors of S. M. Wong
This figure shows the co-authorship network connecting the top 25 collaborators of S. M. Wong. A scholar is included among the top collaborators of S. M. Wong 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 S. M. Wong. S. M. Wong is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | Detection of tobacco mosaic virus in petunia and tobacco by light microscopy using a simplified inclusion body staining technique. | 1 |
| 3 | Dynamic interactions between the promoter and terminator regions of the mammalian BRCA1 gene | 4 |
| 4 | 17 | |
| 5 | 30 | |
| 6 | 37 | |
| 7 | 23 | |
| 8 | 32 | |
| 9 | 19 | |
| 10 | 13 | |
| 11 | 10 | |
| 12 | 52 | |
| 13 | 4 | |
| 14 | 4 | |
| 15 | 72 | |
| 16 | Detection of odontoglossum ringspot virus and tobacco mosaic virus with homologous and heterologous antigen antibody combinations. | 3 |
| 17 | 12 | |
| 18 | 21 | |
| 19 | 13 | |
| 20 | Seed biology of Acacia mangium, Albizia falcataria, Eucalyptus spp., Gmelina arborea, Maesopsis eminii, Pinus caribaea and Tectona grandis. | 5 |
About S. M. Wong
S. M. Wong is a scholar working on Endocrinology, Plant Science and Agronomy and Crop Science, having authored 25 papers that have together received 396 indexed citations. Recurring topics across this work include Plant Virus Research Studies (20 papers), Plant Pathogenic Bacteria Studies (10 papers) and Plant and Fungal Interactions Research (8 papers). The work is most often cited by research in Endocrinology (111 citations), Horticulture (12 citations) and Plant Science (380 citations). S. M. Wong has collaborated with scholars based in Singapore, United States and South Korea. Frequent co-authors include Choon‐Peng Chng, Haitao Yu, Kandhadayar G. Srinivasan, F. W. Zettler, Chong‐Jin Goh, K. H. Ryu, Peter Palukaitis, Amit Gal‐On, Ki Hyun Ryu and B. E. Min. Their work appears in journals such as Molecular Plant-Microbe Interactions, Plant Disease and Archives of Virology.
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.