Prapa Sripichitt

56 total papers · 523 total citations
36 papers, 387 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 387 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, Japan and Ethiopia. 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 358 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Prapa Sripichitt 262 111 82 61 59 36 387
Jason A. K. Trethewey 297 1.1× 90 0.8× 105 1.3× 66 1.1× 44 0.7× 24 432
N. B. Singh 261 1.0× 67 0.6× 62 0.8× 33 0.5× 23 0.4× 41 422
Luciano Lourenço Nass 249 1.0× 42 0.4× 92 1.1× 53 0.9× 50 0.8× 22 353
P. Srinivasa Rao 174 0.7× 70 0.6× 159 1.9× 154 2.5× 48 0.8× 33 361
G. Nervo 200 0.8× 98 0.9× 103 1.3× 43 0.7× 30 0.5× 18 375
C. V. Ratnavathi 229 0.9× 62 0.6× 152 1.9× 155 2.5× 44 0.7× 33 432
C. Lorenzoni 305 1.2× 118 1.1× 152 1.9× 50 0.8× 78 1.3× 38 430
Fernando Guerra 197 0.8× 85 0.8× 93 1.1× 29 0.5× 82 1.4× 35 437
Genki Ishigaki 280 1.1× 181 1.6× 96 1.2× 64 1.0× 16 0.3× 34 425
J. T. Sullivan 127 0.5× 42 0.4× 146 1.8× 35 0.6× 37 0.6× 25 395

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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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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2026