Patcharin Tanya

1.1k total citations
31 papers, 329 citations indexed

About

Patcharin Tanya is a scholar working on Plant Science, Molecular Biology and Biomedical Engineering. According to data from OpenAlex, Patcharin Tanya has authored 31 papers receiving a total of 329 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Plant Science, 14 papers in Molecular Biology and 7 papers in Biomedical Engineering. Recurrent topics in Patcharin Tanya's work include Plant biochemistry and biosynthesis (9 papers), Biodiesel Production and Applications (6 papers) and Genomics and Phylogenetic Studies (5 papers). Patcharin Tanya is often cited by papers focused on Plant biochemistry and biosynthesis (9 papers), Biodiesel Production and Applications (6 papers) and Genomics and Phylogenetic Studies (5 papers). Patcharin Tanya collaborates with scholars based in Thailand, Japan and South Korea. Patcharin Tanya's co-authors include Peerasak Srinives, Puntaree Taeprayoon, Kularb Laosatit, Suk‐Ha Lee, Prakit Somta, Apichart Vanavichit, Sangrea Shim, Annapurna Chitikineni, Taeyoung Lee and Won Hwang and has published in prestigious journals such as PLoS ONE, Theoretical and Applied Genetics and Biomass and Bioenergy.

In The Last Decade

Patcharin Tanya

30 papers receiving 303 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Patcharin Tanya Thailand 10 222 115 86 75 27 31 329
Kularb Laosatit Thailand 10 347 1.6× 125 1.1× 46 0.5× 31 0.4× 20 0.7× 41 428
Piwu Wang China 12 344 1.5× 210 1.8× 91 1.1× 22 0.3× 36 1.3× 39 441
Yves Griveau France 10 277 1.2× 79 0.7× 70 0.8× 40 0.5× 61 2.3× 26 336
Seetha Kannan India 7 261 1.2× 83 0.7× 88 1.0× 32 0.4× 10 0.4× 9 326
Noé Montes-García Mexico 8 149 0.7× 73 0.6× 58 0.7× 73 1.0× 33 1.2× 32 259
John Baier United States 8 357 1.6× 257 2.2× 67 0.8× 24 0.3× 21 0.8× 8 500
Jayern Lee South Korea 7 282 1.3× 87 0.8× 30 0.3× 16 0.2× 14 0.5× 10 327
Jianzhou Qu China 11 226 1.0× 56 0.5× 86 1.0× 44 0.6× 33 1.2× 25 321
Yazhou Shu China 11 332 1.5× 194 1.7× 55 0.6× 10 0.1× 14 0.5× 13 389
Steven A. Thompson United States 7 197 0.9× 151 1.3× 86 1.0× 15 0.2× 9 0.3× 8 283

Countries citing papers authored by Patcharin Tanya

Since Specialization
Citations

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

Fields of papers citing papers by Patcharin Tanya

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Patcharin Tanya

This figure shows the co-authorship network connecting the top 25 collaborators of Patcharin Tanya. A scholar is included among the top collaborators of Patcharin Tanya 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 Patcharin Tanya. Patcharin Tanya 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.
Taeprayoon, Puntaree, et al.. (2024). Implications of genotypic and phenotypic variation in Dura × Dura oil palm for maternal selection. Agriculture and Natural Resources. 58(1). 1 indexed citations
2.
Tanya, Patcharin, et al.. (2022). Biomass yield stability of interspecific Jatropha hybrids through multiple harvest rotations with varying harvest ages. Agriculture and Natural Resources. 56(6). 1 indexed citations
3.
4.
Laosatit, Kularb, Prakit Somta, Sangrea Shim, et al.. (2017). Mapping of QTLs for Seed Phorbol Esters, a Toxic Chemical in Jatropha curcas (L.). Genes. 8(8). 205–205. 9 indexed citations
5.
Tanya, Patcharin, et al.. (2016). Pollen viability and seed set of interspecific hybrids between J. curcas × J. integerrima. 9(1). 50–55. 1 indexed citations
6.
Taeprayoon, Puntaree, Patcharin Tanya, Suk‐Ha Lee, & Peerasak Srinives. (2015). Genetic background of three commercial oil palm breeding populations in Thailand revealed by SSR markers.. Australian Journal of Crop Science. 9(4). 281–288. 5 indexed citations
7.
Tanya, Patcharin, et al.. (2015). Detection of quantitative trait loci for seed size traits in soybean (Glycine max L.).. Witthayasan Kasetsat Witthayasat. 49(6). 832–843. 3 indexed citations
8.
Taeprayoon, Puntaree, et al.. (2015). Genome-wide SSR marker development in oil palm by Illumina HiSeq for parental selection. Plant Genetic Resources. 14(2). 157–160. 2 indexed citations
9.
Tanya, Patcharin, et al.. (2014). BREEDING FIELD CROPS FOR ORNAMENTAL PURPOSE: A CASE IN Jatropha spp.. AGRIVITA Journal of Agricultural Science. 36(3). 229–234. 2 indexed citations
10.
Tanya, Patcharin, et al.. (2014). Mapping of the genomic regions controlling seed storability in soybean (Glycine max L.). Journal of Genetics. 93(2). 365–370. 22 indexed citations
11.
Tanya, Patcharin, et al.. (2014). Mapping quantitative trait loci for yield-related traits in soybean (Glycine max L.). Breeding Science. 64(4). 282–290. 9 indexed citations
12.
Tanya, Patcharin, et al.. (2014). Phenotypic and genotypic variability of F2 plants derived from Jatropha curcas × integerrima hybrid. Biomass and Bioenergy. 67. 137–144. 5 indexed citations
13.
Laosatit, Kularb, et al.. (2014). Development of interspecific and intergeneric hybrids among jatropha-related species and verification of the hybrids using EST–SSR markers. Plant Genetic Resources. 12(S1). S58–S61. 5 indexed citations
14.
Tanya, Patcharin, et al.. (2013). Estimates of repeatability and path coefficient of bunch and fruit traits in Bang Boet dura oil palm.. Journal of Oil Palm Research. 25(1). 108–115. 5 indexed citations
15.
Laosatit, Kularb, Patcharin Tanya, Chatree Saensuk, & Peerasak Srinives. (2012). Development and characterization of EST-SSR markers from Jatropha curcas EST database and their transferability across jatropha-related species/genus. Biologia. 68(1). 41–47. 8 indexed citations
16.
Tanya, Patcharin, et al.. (2011). Heterosis of Agronomic Characters in Jatropha (Jatropha curcas L.). Witthayasan Kasetsat Witthayasat. 45(4). 583–593. 11 indexed citations
17.
Arikit, Siwaret, Tadashi Yoshihashi, Samart Wanchana, et al.. (2010). A PCR-based marker for a locus conferring aroma in vegetable soybean (Glycine max L.). Theoretical and Applied Genetics. 122(2). 311–316. 18 indexed citations
18.
Tanya, Patcharin, et al.. (2010). Genetic Diversity Among Jatropha and Jatropha-Related Species Based on ISSR Markers. Plant Molecular Biology Reporter. 29(1). 252–264. 88 indexed citations
19.
Tanya, Patcharin, et al.. (2005). Identification of SSR Markers Associated with N2-Fixation Components in Soybean [Glycine max (L.) Merr.]. Genes & Genomics. 27(4). 351–359. 14 indexed citations
20.
Tanya, Patcharin, Peerasak Srinives, T. Toojinda, et al.. (2001). Evaluation of Genetic Diversity among Soybean Genotypes Using SSR and SNP. The Korean Journal of Crop Science. 46(4). 334–340. 9 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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