I Mastura

14 papers and 448 indexed citations i.

About

I Mastura is a scholar working on Endocrinology, Diabetes and Metabolism, Epidemiology and General Health Professions. According to data from OpenAlex, I Mastura has authored 14 papers receiving a total of 448 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Endocrinology, Diabetes and Metabolism, 4 papers in Epidemiology and 2 papers in General Health Professions. Recurrent topics in I Mastura’s work include Diabetes, Cardiovascular Risks, and Lipoproteins (9 papers), Diabetes Management and Education (8 papers) and Chronic Disease Management Strategies (4 papers). I Mastura is often cited by papers focused on Diabetes, Cardiovascular Risks, and Lipoproteins (9 papers), Diabetes Management and Education (8 papers) and Chronic Disease Management Strategies (4 papers). I Mastura collaborates with scholars based in Malaysia and Indonesia. I Mastura's co-authors include Cheong Lieng Teng, Kai Lit Phua, Mohamed Sheikh, Chirk Jenn Ng, Kam W. Leong, Wensu Chen, Boon‐How Chew, Ping Yein Lee, Ai Theng Cheong and Jamaiyah Haniff and has published in prestigious journals such as Cardiovascular Diabetology, Family Practice and BMC Family Practice.

In The Last Decade

Co-authorship network of co-authors of I Mastura i

Fields of papers citing papers by I Mastura

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by I Mastura

Since Specialization
Citations

This map shows the geographic impact of I Mastura'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 I Mastura with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites I Mastura 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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2025