Shahreen Kasim

118 papers and 559 indexed citations i.

About

Shahreen Kasim is a scholar working on Molecular Biology, Artificial Intelligence and Information Systems. According to data from OpenAlex, Shahreen Kasim has authored 118 papers receiving a total of 559 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Molecular Biology, 29 papers in Artificial Intelligence and 26 papers in Information Systems. Recurrent topics in Shahreen Kasim’s work include Gene expression and cancer classification (18 papers), Bioinformatics and Genomic Networks (15 papers) and Machine Learning in Bioinformatics (13 papers). Shahreen Kasim is often cited by papers focused on Gene expression and cancer classification (18 papers), Bioinformatics and Genomic Networks (15 papers) and Machine Learning in Bioinformatics (13 papers). Shahreen Kasim collaborates with scholars based in Malaysia, Indonesia and Iraq. Shahreen Kasim's co-authors include Tole Sutikno, Mohd Saberi Mohamad, Mohd Arfian Ismail, Rohayanti Hassan, Mohd Farhan Md Fudzee, Safaai Deris, Rd. Rohmat Saedudin, Hairulnizam Mahdin, Zalmiyah Zakaria and Danakorn Nincarean Eh Phon and has published in prestigious journals such as BMC Bioinformatics, IEEE Access and Information Sciences.

In The Last Decade

Co-authorship network of co-authors of Shahreen Kasim i

Fields of papers citing papers by Shahreen Kasim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Shahreen Kasim

Since Specialization
Citations

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