Samart Wanchana

1.3k total citations
52 papers, 851 citations indexed

About

Samart Wanchana is a scholar working on Plant Science, Genetics and Molecular Biology. According to data from OpenAlex, Samart Wanchana has authored 52 papers receiving a total of 851 indexed citations (citations by other indexed papers that have themselves been cited), including 49 papers in Plant Science, 16 papers in Genetics and 15 papers in Molecular Biology. Recurrent topics in Samart Wanchana's work include GABA and Rice Research (15 papers), Genetic Mapping and Diversity in Plants and Animals (14 papers) and Plant Stress Responses and Tolerance (8 papers). Samart Wanchana is often cited by papers focused on GABA and Rice Research (15 papers), Genetic Mapping and Diversity in Plants and Animals (14 papers) and Plant Stress Responses and Tolerance (8 papers). Samart Wanchana collaborates with scholars based in Thailand, Philippines and United Kingdom. Samart Wanchana's co-authors include Apichart Vanavichit, Theerayut Toojinda, Siwaret Arikit, Somvong Tragoonrung, Chatree Saensuk, W. Paul Quick, Vivek Thakur, Richard Bruskiewich, Vinitchan Ruanjaichon and Tadashi Yoshihashi and has published in prestigious journals such as Nucleic Acids Research, PLoS ONE and PLANT PHYSIOLOGY.

In The Last Decade

Samart Wanchana

48 papers receiving 831 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Samart Wanchana Thailand 19 733 222 202 101 62 52 851
Qing Ji China 13 708 1.0× 342 1.5× 327 1.6× 43 0.4× 105 1.7× 36 896
Gönül Cömertpay Türkiye 10 642 0.9× 175 0.8× 266 1.3× 31 0.3× 15 0.2× 19 801
Zhiqiang Chen China 23 1.1k 1.5× 458 2.1× 418 2.1× 34 0.3× 12 0.2× 64 1.3k
P. Crinò Italy 15 733 1.0× 104 0.5× 59 0.3× 76 0.8× 21 0.3× 54 809
Supriya Ambawat India 9 906 1.2× 575 2.6× 129 0.6× 52 0.5× 11 0.2× 24 1.1k
P. B. Kavi Kishor India 13 888 1.2× 394 1.8× 110 0.5× 55 0.5× 8 0.1× 28 1.0k
Jae-Wook Bang South Korea 16 906 1.2× 508 2.3× 122 0.6× 17 0.2× 19 0.3× 37 1.0k
Tonapha Pusadee Thailand 14 406 0.6× 59 0.3× 118 0.6× 41 0.4× 20 0.3× 39 534
Devendra Kumar Yadava India 16 699 1.0× 285 1.3× 108 0.5× 62 0.6× 7 0.1× 74 849
Ajay Kumar Mahato India 14 506 0.7× 208 0.9× 71 0.4× 24 0.2× 29 0.5× 42 585

Countries citing papers authored by Samart Wanchana

Since Specialization
Citations

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

Fields of papers citing papers by Samart Wanchana

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Samart Wanchana. 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 Samart Wanchana. The network helps show where Samart Wanchana may publish in the future.

Co-authorship network of co-authors of Samart Wanchana

This figure shows the co-authorship network connecting the top 25 collaborators of Samart Wanchana. A scholar is included among the top collaborators of Samart Wanchana 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 Samart Wanchana. Samart Wanchana 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.
Wanchana, Samart, et al.. (2025). Genetic Analysis of Thai Centella asiatica Germplasm for Morphological, Biomass, and Centelloside Traits. Agriculture. 15(17). 1905–1905.
2.
Charoensawan, Varodom, Jonaliza L. Siangliw, Vinitchan Ruanjaichon, et al.. (2024). Identification of Candidate Genes for Salt Tolerance at Seedling Stage in Rice Using QTL-Seq and Chromosome Segment Substitution Line-Derived Population. Agronomy. 14(5). 929–929. 3 indexed citations
3.
Xiao, Yong, Rui Xia, Natthaporn Phonsatta, et al.. (2024). Whole-Genome Resequencing Identifies SNPs in Sucrose Synthase and Sugar Transporter Genes Associated with Sweetness in Coconut. Plants. 13(18). 2548–2548. 1 indexed citations
4.
Wanchana, Samart, et al.. (2023). Transcriptome Analysis Reveals Genes Involved in Responses of Eucalyptus to Gall Wasp Infestation. Horticulturae. 9(2). 127–127. 2 indexed citations
5.
Wanchana, Samart, et al.. (2023). Functional Bph14 from Rathu Heenati promotes resistance to BPH at the early seedling stage of rice (Oryza sativa L.) as revealed by QTL-seq. Theoretical and Applied Genetics. 136(2). 25–25. 8 indexed citations
6.
Saensuk, Chatree, et al.. (2023). Genetic Diversity and Population Structure of a Longan Germplasm in Thailand Revealed by Genotyping-By-Sequencing (GBS). Horticulturae. 9(6). 726–726. 4 indexed citations
7.
Siangliw, Jonaliza L., et al.. (2023). QTL-seq Identifies Pokkali-Derived QTLs and Candidate Genes for Salt Tolerance at Seedling Stage in Rice (Oryza sativa L.). Agriculture. 13(8). 1596–1596. 6 indexed citations
9.
Saensuk, Chatree, et al.. (2022). Primary Root Excision Induces ERF071, Which Mediates the Development of Lateral Roots in Makapuno Coconut (Cocos nucifera). Plants. 12(1). 105–105. 2 indexed citations
10.
Darwell, Clive T., et al.. (2022). riceExplorer: Uncovering the Hidden Potential of a National Genomic Resource Against a Global Database. Frontiers in Plant Science. 13. 781153–781153. 1 indexed citations
11.
Saensuk, Chatree, Sugunya Mahatheeranont, Vinitchan Ruanjaichon, et al.. (2022). A SNP of betaine aldehyde dehydrogenase (BADH) enhances an aroma (2-acetyl-1-pyrroline) in sponge gourd (Luffa cylindrica) and ridge gourd (Luffa acutangula). Scientific Reports. 12(1). 3718–3718. 8 indexed citations
13.
Arikit, Siwaret, et al.. (2019). QTL-seq identifies cooked grain elongation QTLs near soluble starch synthase and starch branching enzymes in rice (Oryza sativa L.). Scientific Reports. 9(1). 8328–8328. 43 indexed citations
14.
Wanchana, Samart, Chatree Saensuk, Kiattawee Choowongkomon, et al.. (2018). Discovery of a novel CnAMADH2 allele associated with higher levels of 2-acetyl-1-pyrroline (2AP) in yellow dwarf coconut (Cocos nucifera L.). Scientia Horticulturae. 243. 490–497. 20 indexed citations
16.
Lehmeier, C., Samart Wanchana, Vivek Thakur, et al.. (2016). Combined Chlorophyll Fluorescence and Transcriptomic Analysis Identifies the P3/P4 Transition as a Key Stage in Rice Leaf Photosynthetic Development. PLANT PHYSIOLOGY. 170(3). 1655–1674. 18 indexed citations
17.
Arikit, Siwaret, Tadashi Yoshihashi, Samart Wanchana, et al.. (2010). Deficiency in the amino aldehyde dehydrogenase encoded by GmAMADH2, the homologue of rice Os2AP, enhances 2‐acetyl‐1‐pyrroline biosynthesis in soybeans (Glycine max L.). Plant Biotechnology Journal. 9(1). 75–87. 51 indexed citations
18.
Wanchana, Samart, Supat Thongjuea, Victor Jun Ulat, et al.. (2007). The Generation Challenge Programme comparative plant stress-responsive gene catalogue. Nucleic Acids Research. 36(suppl_1). D943–D946. 5 indexed citations
19.
Wanchana, Samart, et al.. (2005). . ScienceAsia. 31(3). 299–299. 30 indexed citations
20.
Wanchana, Samart, et al.. (2005). A Rapid Construction of a Physical Contig across a 4.5 cM Region for Rice Grain Aroma Facilitates Marker Enrichment for Positional Cloning. 31 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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