Suchada Vearasilp

48 total papers · 1.1k total citations
38 papers, 862 citations indexed

About

Suchada Vearasilp is a scholar working on Plant Science, Biochemistry and Food Science. According to data from OpenAlex, Suchada Vearasilp has authored 38 papers receiving a total of 862 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Plant Science, 12 papers in Biochemistry and 12 papers in Food Science. Recurrent topics in Suchada Vearasilp's work include Phytochemicals and Antioxidant Activities (12 papers), GABA and Rice Research (9 papers) and Seed Germination and Physiology (6 papers). Suchada Vearasilp is often cited by papers focused on Phytochemicals and Antioxidant Activities (12 papers), GABA and Rice Research (9 papers) and Seed Germination and Physiology (6 papers). Suchada Vearasilp collaborates with scholars based in Thailand, Israel and Poland. Suchada Vearasilp's co-authors include Shela Gorinstein, Sumitra Poovarodom, Maria Leontowicz, Hanna Leontowicz, Simon Trakhtenberg, Ratiporn Haruenkit, Jacek Namieśnik, Valery M. Dembitsky, Elke Pawelzik and Milan Suhaj and has published in prestigious journals such as Journal of Agricultural and Food Chemistry, Food Chemistry and Sensors and Actuators B Chemical.

In The Last Decade

Suchada Vearasilp

36 papers receiving 804 citations

Author Peers

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

Author Last Decade Papers Cites
Suchada Vearasilp 372 365 338 134 94 38 862
Sumitra Poovarodom 397 1.1× 346 0.9× 438 1.3× 121 0.9× 84 0.9× 27 936
Nabeelah Bibi Sadeer 337 0.9× 279 0.8× 320 0.9× 259 1.9× 72 0.8× 40 1.0k
Mercedes Vázquez-Espinosa 376 1.0× 347 1.0× 440 1.3× 185 1.4× 88 0.9× 36 988
Ana V. González-de-Peredo 378 1.0× 352 1.0× 444 1.3× 187 1.4× 88 0.9× 37 1.0k
Fernando Ramos-Escudero 180 0.5× 417 1.1× 367 1.1× 145 1.1× 171 1.8× 42 852
Elixabet Díaz‐de‐Cerio 271 0.7× 488 1.3× 366 1.1× 190 1.4× 141 1.5× 27 1.0k
Julián Londoño‐Londoño 245 0.7× 437 1.2× 305 0.9× 214 1.6× 99 1.1× 44 1.0k
G.A. Garzón 324 0.9× 476 1.3× 635 1.9× 144 1.1× 120 1.3× 19 922
Mohd Sabri Pak Dek 274 0.7× 330 0.9× 282 0.8× 93 0.7× 97 1.0× 34 741
Joana Schuelter Boeing 320 0.9× 432 1.2× 368 1.1× 141 1.1× 239 2.5× 23 971

Countries citing papers authored by Suchada Vearasilp

Since Specialization
Citations

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

Fields of papers citing papers by Suchada Vearasilp

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Suchada Vearasilp

This figure shows the co-authorship network connecting the top 25 collaborators of Suchada Vearasilp. A scholar is included among the top collaborators of Suchada Vearasilp 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 Suchada Vearasilp. Suchada Vearasilp 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