Prapa Sripichitt

525 total citations
36 papers, 388 citations indexed

About

Prapa Sripichitt is a scholar working on Plant Science, Molecular Biology and Genetics. According to data from OpenAlex, Prapa Sripichitt has authored 36 papers receiving a total of 388 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Plant Science, 8 papers in Molecular Biology and 8 papers in Genetics. Recurrent topics in Prapa Sripichitt's work include GABA and Rice Research (13 papers), Rice Cultivation and Yield Improvement (12 papers) and Genetic Mapping and Diversity in Plants and Animals (8 papers). Prapa Sripichitt is often cited by papers focused on GABA and Rice Research (13 papers), Rice Cultivation and Yield Improvement (12 papers) and Genetic Mapping and Diversity in Plants and Animals (8 papers). Prapa Sripichitt collaborates with scholars based in Thailand, Ethiopia and Japan. Prapa Sripichitt's co-authors include S. Tudsri, Kunn Kangvansaichol, Eiji Nawata, Pilanee Vaithanomsat, Vittaya Punsuvon, Yasuyuki Ishii, Chalermpol Phumichai, Vipa Hongtrakul, Surin Peyachoknagul and Motoyasu Otani and has published in prestigious journals such as Journal of Agronomy and Crop Science, AFRICAN JOURNAL OF BIOTECHNOLOGY and Plant Production Science.

In The Last Decade

Prapa Sripichitt

31 papers receiving 359 citations

Peers

Prapa Sripichitt

ACS

GENET

Jordi Salvia Spain

Muhammad Asif Pakistan

G. Nervo Italy

P. Srinivasa Rao India

Shujun Chang United States

Mesut Keser Türkiye

Jogendra Singh India

Alemayehu Teressa Negawo Kenya

C. Lorenzoni Italy

Youji Nitta Japan

Jordi Salvia Spain

Prapa Sripichitt

243 ×0.9

125 ×1.1

60 ×0.7

ACS

29 ×0.5

34 ×0.6

GENET

Citations per year, relative to Prapa Sripichitt Prapa Sripichitt (= 1×) peers Jordi Salvia

Countries citing papers authored by Prapa Sripichitt

Since Specialization

Citations

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

Fields of papers citing papers by Prapa Sripichitt

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Prapa Sripichitt

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

All Works

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20 of 20 papers shown

Sripichitt, Prapa, et al.. (2019). Assistance of phenotype-genotype selections for developing blast disease resistance of Thai jasmine rice, RD15. IOP Conference Series Earth and Environmental Science. 230. 12108–12108. 2 indexed citations

Sripichitt, Prapa, et al.. (2018). A salinity‐tolerant japonica cultivar has Na⁺ exclusion mechanism at leaf sheaths through the function of a Na⁺ transporter OsHKT1;4 under salinity stress. Journal of Agronomy and Crop Science. 204(3). 274–284. 36 indexed citations

Sripichitt, Prapa, et al.. (2017). Genetic Relationships of Rice Yield and Yield Components in RILs Population Derived from a Cross between KDML105 and CH1 Rice Varieties. 14(12). 997–1004. 2 indexed citations

Sripichitt, Prapa, et al.. (2015). Obtaining a black pericarp and improved aroma using genetic resources from Leum Pua rice. ScienceAsia. 41(2). 93–93. 2 indexed citations

Phumichai, Chalermpol, et al.. (2013). Genetic diversity analysis of rice cultivars from various origins using simple sequence repeat (SSR) markers. AFRICAN JOURNAL OF BIOTECHNOLOGY. 12(26). 4074–4081. 5 indexed citations

Kangvansaichol, Kunn, et al.. (2013). Effect of Spacing on Growth, Biomass Yield and Quality of Leucaena (<i>Leucaena leucocephala</i> (Lam.) de Wit.) for Renewable Energy in Thailand. 3(1). 48–56. 15 indexed citations

Ishii, Yasuyuki, Kunn Kangvansaichol, Prapa Sripichitt, et al.. (2013). Biomass Yield, Chemical Composition and Potential Ethanol Yields of 8 Cultivars of Napiergrass (<i>Pennisetum purpureum</i> Schumach.) Harvested 3-Monthly in Central Thailand. 3(2). 107–112. 53 indexed citations

Sripichitt, Prapa, et al.. (2013). Identifi cation of Blast-Resistant Varieties from Landrace, Improved and Wild Species of Rice. 3 indexed citations

Sripichitt, Prapa, et al.. (2011). Cluster analysis of blast disease resistance of improved rice varieties using newly blast pathogen isolates. 581–588. 1 indexed citations

10.

Ishii, Yasuyuki, Kunn Kangvansaichol, Prapa Sripichitt, et al.. (2011). Potential forage and biomass production of newly introduced varieties of leucaena (Leucaena leucocephala (Lam.) de Wit.) in Thailand. Grassland Science. 57(2). 94–100. 22 indexed citations

11.

Sripichitt, Prapa, et al.. (2009). Evaluation of Soybean (Glycine max (L.) Merrill) Germplasm for Field Weathering Resistance using Seed Quality and SCAR Markers. Witthayasan Kasetsat Witthayasat. 43(4). 418–441. 2 indexed citations

12.

Sripichitt, Prapa, et al.. (2007). Developing DNA Markers for Assisting Selection of Field Weathering Resistance in Soybean. Queensland's institutional digital repository (The University of Queensland). 26(6). 820–827. 1 indexed citations

13.

Sripichitt, Prapa, et al.. (2007). Modifying Controlled Deterioration for Evaluating Field Weathering Resistance of Soybean. Witthayasan Kasetsat Witthayasat. 41(2). 232–241. 4 indexed citations

14.

Sripichitt, Prapa, et al.. (2007). Phenotypic Diversity of Ethiopian Finger Millet ( Eleusine coracana (L.) Gaertn) in Relation to Geographical Regions as an Aid to Germplasm Collection and Conservation Strategy. 7 indexed citations

15.

Sripichitt, Prapa, et al.. (2006). Transfer of drought resistant character from wild rice (Oryza meridionalis and Oryza nivara) to cultivated rice (Oryza sativa L.) by backcrossing and immature embryo culture. Witthayasan Kasetsat Witthayasat. 40(3). 582–594. 11 indexed citations

16.

Sripichitt, Prapa, et al.. (2006). A QTL controlling the field weathering resistance of soybean seed.. SABRAO Journal of Breeding and Genetics. 38(2). 93–103. 1 indexed citations

17.

Sripichitt, Prapa, et al.. (2000). Preliminary report on transfer traits of vegetative propagation from wild rice species to Oryza sativa via distant hybridization and embryo rescue. Witthayasan Kasetsat Witthayasat. 34(1). 1–11. 16 indexed citations

18.

Attanandana, Tasnee, et al.. (1997). Growth and nitrogen production rates of azolla (Azolla microphylla) as affected by its cultivation methods : An economic perspective in rice cultivation in Thailand. 2 indexed citations

19.

Sripichitt, Prapa, et al.. (1992). Effect of gamma irradiation combined with multiple shoot induction on change in some agronomic traits of aromatic rice (Oryza sativa L.) variety Khao Dawk Mali 105.

20.

Sripichitt, Prapa, et al.. (1987). In vitro shoot-forming capacity of cotyledon explants in red pepper (Capsicum annuum L. cv. Yatsufusa).. Ikushugaku zasshi. 37(2). 133–142. 30 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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