Swee‐Suak Ko

1.8k total citations
30 papers, 1.1k citations indexed

About

Swee‐Suak Ko is a scholar working on Plant Science, Molecular Biology and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, Swee‐Suak Ko has authored 30 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Plant Science, 16 papers in Molecular Biology and 4 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in Swee‐Suak Ko's work include Plant Molecular Biology Research (14 papers), Plant Reproductive Biology (8 papers) and Plant nutrient uptake and metabolism (5 papers). Swee‐Suak Ko is often cited by papers focused on Plant Molecular Biology Research (14 papers), Plant Reproductive Biology (8 papers) and Plant nutrient uptake and metabolism (5 papers). Swee‐Suak Ko collaborates with scholars based in Taiwan, United States and Malaysia. Swee‐Suak Ko's co-authors include Yee‐yung Charng, Fu‐Chiun Hsu, Hsiang‐chin Liu, Ming‐Tsair Chan, Mengyi Lin, Lin‐Yun Kuang, Huu‐Sheng Lur, Maurice S. B. Ku, Tzyy‐Jen Chiou and Huiting Yang and has published in prestigious journals such as The Plant Cell, PLANT PHYSIOLOGY and International Journal of Molecular Sciences.

In The Last Decade

Swee‐Suak Ko

28 papers receiving 1.1k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Swee‐Suak Ko Taiwan 16 972 652 72 47 33 30 1.1k
De-Xu Luo China 10 671 0.7× 484 0.7× 24 0.3× 28 0.6× 16 0.5× 12 847
Fanying Kong China 19 978 1.0× 762 1.2× 28 0.4× 51 1.1× 21 0.6× 24 1.2k
Ivana Momčilović Serbia 17 947 1.0× 447 0.7× 77 1.1× 46 1.0× 87 2.6× 34 1.1k
Mariko Shono Japan 15 816 0.8× 444 0.7× 27 0.4× 16 0.3× 29 0.9× 35 1.0k
Jesse Coutu United States 5 1.5k 1.6× 1.1k 1.7× 30 0.4× 39 0.8× 18 0.5× 6 1.7k
Rina Iannacone Italy 12 412 0.4× 325 0.5× 56 0.8× 34 0.7× 29 0.9× 18 585
Jas Singh Canada 16 1.1k 1.2× 771 1.2× 39 0.5× 37 0.8× 59 1.8× 26 1.3k
Mingfang Yi China 21 978 1.0× 678 1.0× 67 0.9× 12 0.3× 15 0.5× 60 1.1k
Jiemeng Xu United States 8 503 0.5× 265 0.4× 66 0.9× 78 1.7× 39 1.2× 13 627

Countries citing papers authored by Swee‐Suak Ko

Since Specialization
Citations

This map shows the geographic impact of Swee‐Suak Ko'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 Swee‐Suak Ko with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Swee‐Suak Ko more than expected).

Fields of papers citing papers by Swee‐Suak Ko

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Swee‐Suak Ko. 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 Swee‐Suak Ko. The network helps show where Swee‐Suak Ko may publish in the future.

Co-authorship network of co-authors of Swee‐Suak Ko

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

All Works

20 of 20 papers shown
1.
Ko, Swee‐Suak, P. Chung, L. Lee, et al.. (2025). Seasonal growth and biomass production of cold-tolerant Napier Grass line L2201. Biomass and Bioenergy. 201. 108048–108048.
2.
Ko, Swee‐Suak, et al.. (2024). Safe Farming: Ultrafine Bubble Water Reduces Insect Infestation and Improves Melon Yield and Quality. Plants. 13(4). 537–537. 2 indexed citations
3.
Neik, Ting Xiang, et al.. (2024). Screening of heat stress-tolerant weedy rice and SNP identification of heat-tolerance-related genes. Plant Biotechnology Reports. 18(5). 659–672. 2 indexed citations
4.
Sun, Wanting, Sy‐Chyi Cheng, Ya‐Ting Chao, et al.. (2023). Sugars and sucrose transporters in pollinia ofPhalaenopsis aphrodite(Orchidaceae). Journal of Experimental Botany. 74(8). 2556–2571. 1 indexed citations
5.
Ko, Swee‐Suak, Yi‐Cheng Ho, Chun-Ping Yu, et al.. (2021). Rice transcription factor GAMYB modulates bHLH142 and is homeostatically regulated by TDR during anther tapetal and pollen development. Journal of Experimental Botany. 72(13). 4888–4903. 29 indexed citations
6.
Ko, Swee‐Suak, et al.. (2020). Blue Light Acclimation Reduces the Photoinhibition of Phalaenopsis aphrodite (Moth Orchid). International Journal of Molecular Sciences. 21(17). 6167–6167. 15 indexed citations
7.
Yang, Shu‐Yi, et al.. (2019). Upstream Open Reading Frame and Phosphate-Regulated Expression of Rice OsNLA1 Controls Phosphate Transport and Reproduction. PLANT PHYSIOLOGY. 182(1). 393–407. 27 indexed citations
8.
Yang, Tingting, et al.. (2019). Spike Activator 1, Encoding a bHLH, Mediates Axillary Bud Development and Spike Initiation in Phalaenopsis aphrodite. International Journal of Molecular Sciences. 20(21). 5406–5406. 6 indexed citations
9.
Tseng, Kuan-Chieh, et al.. (2019). Phototropins Mediate Chloroplast Movement in Phalaenopsis aphrodite (Moth Orchid). Plant and Cell Physiology. 60(10). 2243–2254. 9 indexed citations
10.
Ko, Swee‐Suak, et al.. (2017). Tightly Controlled Expression of bHLH142 Is Essential for Timely Tapetal Programmed Cell Death and Pollen Development in Rice. Frontiers in Plant Science. 8. 1258–1258. 25 indexed citations
11.
Yang, Huiting, et al.. (2016). Hybrid-Cut: An Improved Sectioning Method for Recalcitrant Plant Tissue Samples. Journal of Visualized Experiments. 15 indexed citations
12.
Tong, Chii‐Gong, et al.. (2016). Efficient and heritable transformation of Phalaenopsis orchids. Botanical studies. 57(1). 20 indexed citations
13.
Lin, Choun‐Sea, Chen‐Tran Hsu, Wan‐Jung Chang, et al.. (2015). Transcriptome‐wide analysis of the MADS‐box gene family in the orchid Erycina pusilla. Plant Biotechnology Journal. 14(1). 284–298. 45 indexed citations
15.
Shih, Ming‐Che, Ming‐Lun Chou, Jin-Jun Yue, et al.. (2014). BeMADS1 is a key to delivery MADSs into nucleus in reproductive tissues-De novo characterization of Bambusa edulis transcriptome and study of MADS genes in bamboo floral development. BMC Plant Biology. 14(1). 179–179. 36 indexed citations
16.
Chen, Chun-Han, et al.. (2013). Genome-wide annotation, expression profiling, and protein interaction studies of the core cell-cycle genes in Phalaenopsis aphrodite. Plant Molecular Biology. 84(1-2). 203–226. 24 indexed citations
17.
Lin, Shu-I, Carole Santi, Edouard Jobet, et al.. (2010). Complex Regulation of Two Target Genes Encoding SPX-MFS Proteins by Rice miR827 in Response to Phosphate Starvation. Plant and Cell Physiology. 51(12). 2119–2131. 167 indexed citations
18.
Sanjaya, Sanjaya, Ruey‐Chih Su, Swee‐Suak Ko, et al.. (2008). Overexpression of Arabidopsis thaliana tryptophan synthase beta 1 (AtTSB1) in Arabidopsis and tomato confers tolerance to cadmium stress. Plant Cell & Environment. 31(8). 1074–1085. 64 indexed citations
19.
Yu, Su‐May, Swee‐Suak Ko, Chwan‐Yang Hong, et al.. (2007). Global functional analyses of rice promoters by genomics approaches. Plant Molecular Biology. 65(4). 417–425. 11 indexed citations
20.
Ko, Swee‐Suak, et al.. (2002). Evaluation of Onion Cultivars for Resistance to Aspergillus niger, the Causal Agent of Black Mold. Journal of the American Society for Horticultural Science. 127(4). 697–702. 14 indexed citations

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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