Apichat Suratanee

35 papers and 281 indexed citations i.

About

Apichat Suratanee is a scholar working on Molecular Biology, Computational Theory and Mathematics and Biological Psychiatry. According to data from OpenAlex, Apichat Suratanee has authored 35 papers receiving a total of 281 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Molecular Biology, 11 papers in Computational Theory and Mathematics and 4 papers in Biological Psychiatry. Recurrent topics in Apichat Suratanee’s work include Bioinformatics and Genomic Networks (18 papers), Computational Drug Discovery Methods (11 papers) and Machine Learning in Bioinformatics (7 papers). Apichat Suratanee is often cited by papers focused on Bioinformatics and Genomic Networks (18 papers), Computational Drug Discovery Methods (11 papers) and Machine Learning in Bioinformatics (7 papers). Apichat Suratanee collaborates with scholars based in Thailand, Bulgaria and Australia. Apichat Suratanee's co-authors include Kitiporn Plaimas, Michaël Maes, Teerapong Buaboocha, Michael Maes, Buranee Kanchanatawan, Cristiano Noto, Ketsupar Jirakran, Edna Maria Vissoci Reiche, Yordan Sbirkov and Maria Gevezova and has published in prestigious journals such as Bioinformatics, PLoS ONE and International Journal of Molecular Sciences.

In The Last Decade

Co-authorship network of co-authors of Apichat Suratanee i

Fields of papers citing papers by Apichat Suratanee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Apichat Suratanee

Since Specialization
Citations

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

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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