Prakit Somta

4.5k total citations
127 papers, 2.6k citations indexed

About

Prakit Somta is a scholar working on Plant Science, Molecular Biology and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, Prakit Somta has authored 127 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 123 papers in Plant Science, 10 papers in Molecular Biology and 10 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in Prakit Somta's work include Agricultural pest management studies (69 papers), Genetic and Environmental Crop Studies (61 papers) and Soybean genetics and cultivation (45 papers). Prakit Somta is often cited by papers focused on Agricultural pest management studies (69 papers), Genetic and Environmental Crop Studies (61 papers) and Soybean genetics and cultivation (45 papers). Prakit Somta collaborates with scholars based in Thailand, Japan and China. Prakit Somta's co-authors include Peerasak Srinives, ‍Norihiko Tomooka, Akito Kaga, Sompong Chankaew, Duncan A. Vaughan, Alisa Kongjaimun, Worapa Seehalak, Xin Chen, Takehisa Isemura and Kularb Laosatit and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Prakit Somta

118 papers receiving 2.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Prakit Somta Thailand 32 2.5k 321 236 172 111 127 2.6k
Shivali Sharma India 23 1.9k 0.8× 277 0.9× 125 0.5× 322 1.9× 169 1.5× 105 2.0k
Jung‐Kyung Moon South Korea 24 1.5k 0.6× 284 0.9× 78 0.3× 181 1.1× 90 0.8× 78 1.7k
Rüştü Hatipoğlu Türkiye 16 1.0k 0.4× 257 0.8× 115 0.5× 341 2.0× 194 1.7× 67 1.3k
Jinguo Hu United States 21 1.5k 0.6× 430 1.3× 163 0.7× 419 2.4× 127 1.1× 66 1.7k
Manuela Nagel Germany 21 1.2k 0.5× 452 1.4× 100 0.4× 126 0.7× 120 1.1× 60 1.3k
Rohtas Singh India 10 977 0.4× 516 1.6× 178 0.8× 318 1.8× 57 0.5× 19 1.3k
G. R. Buss United States 29 2.7k 1.1× 267 0.8× 95 0.4× 211 1.2× 116 1.0× 68 2.9k
Dilip R. Panthee United States 27 1.9k 0.8× 335 1.0× 157 0.7× 210 1.2× 62 0.6× 85 2.1k
Noelle A. Barkley United States 22 1.5k 0.6× 643 2.0× 140 0.6× 337 2.0× 142 1.3× 41 1.8k
Malik Ashiq Rabbani Pakistan 19 1.5k 0.6× 637 2.0× 95 0.4× 383 2.2× 67 0.6× 54 1.7k

Countries citing papers authored by Prakit Somta

Since Specialization
Citations

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

Fields of papers citing papers by Prakit Somta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Prakit Somta

This figure shows the co-authorship network connecting the top 25 collaborators of Prakit Somta. A scholar is included among the top collaborators of Prakit Somta 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 Prakit Somta. Prakit Somta 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.
Wang, Fanmiao, Sompong Chankaew, H Ariga, et al.. (2025). Diurnal Regulation of SOS Pathway and Sodium Excretion Underlying Salinity Tolerance of Vigna marina. Plant Cell & Environment. 48(6). 3925–3938. 2 indexed citations
2.
Nair, Ramakrishnan M., et al.. (2024). Genetics, genomics, and breeding of black gram [Vigna mungo (L.) Hepper]. Frontiers in Plant Science. 14. 1273363–1273363. 6 indexed citations
3.
Somta, Prakit, et al.. (2024). Evaluating Genetic Coefficients of KUML4 Mung Bean Variety for a Crop Simulation Model. SHILAP Revista de lepidopterología. 46(3). 425–438.
4.
5.
Laosatit, Kularb, et al.. (2024). Development of pyramided mung bean lines carrying resistance genes for Cercospora leaf spot disease and bruchids. Chilean journal of agricultural research. 84(5). 644–652.
6.
Naktang, Chaiwat, Duangjai Sangsrakru, Sithichoke Tangphatsornruang, et al.. (2024). A chromosome-scale genome assembly of mungbean (Vigna radiata). PeerJ. 12. e18771–e18771. 1 indexed citations
7.
Laosatit, Kularb, Jinyang Liu, Jingbin Chen, et al.. (2023). Fine mapping of QTL conferring resistance to calcareous soil in mungbean reveals VrYSL3 as candidate gene for the resistance. Plant Science. 332. 111698–111698. 2 indexed citations
8.
9.
Somta, Prakit, et al.. (2023). Decision Support System for Selecting Mung Bean Cultivation Sites in Central Thailand Based on Soil Suitability Class. Agronomy. 13(4). 1030–1030. 2 indexed citations
10.
11.
Somta, Prakit, et al.. (2023). Identification of important morphology for waterlogging tolerance from developed mung bean F2 population. Chilean journal of agricultural research. 83(2). 236–247.
12.
Chankaew, Sompong, et al.. (2022). Mapping QTLs Controlling Soybean Rust Disease Resistance in Chiang Mai 5, an Induced Mutant Cultivar. Genes. 14(1). 19–19. 6 indexed citations
13.
Chankaew, Sompong, Jirawat Sanitchon, Sithichoke Tangphatsornruang, et al.. (2022). The First Genetic Linkage Map of Winged Bean [Psophocarpus tetragonolobus (L.) DC.] and QTL Mapping for Flower-, Pod-, and Seed-Related Traits. Plants. 11(4). 500–500. 9 indexed citations
14.
Somta, Prakit, et al.. (2019). Construction of genetic linkage map and genome dissection of domestication-related traits of moth bean (Vigna aconitifolia), a legume crop of arid areas. Molecular Genetics and Genomics. 294(3). 621–635. 24 indexed citations
15.
Somta, Prakit, Sompong Chankaew, Alisa Kongjaimun, & Peerasak Srinives. (2015). QTLs CONTROLLING SEED WEIGHT AND DAYS TO FLOWERING IN MUNGBEAN (Vigna radiata (L.) Wilczek), THEIR CONSERVATION IN AZUKI BEAN (V. angularis (Ohwi) Ohwi & Ohashi) AND RICE BEAN (V. umbellata (Thunb.) Ohwi & Ohashi). AGRIVITA Journal of Agricultural Science. 37(2). 159–168. 3 indexed citations
16.
Somta, Prakit, et al.. (2014). Generation mean and path analyses of reaction to mungbean yellow mosaic virus (MYMV) and yield-related traits in mungbean (Vigna radiata (L.) Wilczek).. SABRAO Journal of Breeding and Genetics. 46(1). 150–159. 11 indexed citations
17.
Somta, Prakit, et al.. (2014). DISSECTING QUANTITATIVE TRAIT LOCI FOR AGRONOMIC TRAITS RESPONDING TO IRON DEFICEINCY IN MUNGBEAN [Vigna radiata (L.) Wilczek]. AGRIVITA Journal of Agricultural Science. 36(2). 101–111. 1 indexed citations
18.
Somta, Prakit, et al.. (2012). SSR MAP CONSTRUCTION AND QUANTITATIVE TRAIT LOCI (QTL) IDENTIFICATION OF MAJOR AGRONOMIC TRAITS IN MUNGBEAN (Vigna radiata (L.) Wilczek). SABRAO Journal of Breeding and Genetics. 44(1). 71–86. 19 indexed citations
19.
Somta, Prakit, et al.. (2012). Molecular genetic diversity of Bambara groundnut (Vigna subterranea L. Verdc.) revealed by RAPD and ISSR marker analysis.. SABRAO Journal of Breeding and Genetics. 44(1). 87–101. 24 indexed citations
20.
Srinives, Peerasak, et al.. (2007). Genetics and Breeding of Resistance to Bruchids (Callosobruchus spp.) in Vigna Crops: A Review. 4(1). 1–17. 24 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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