Mashitah Mat Don

47 total papers · 1.2k total citations
39 papers, 928 citations indexed

About

Mashitah Mat Don is a scholar working on Biomedical Engineering, Molecular Biology and Plant Science. According to data from OpenAlex, Mashitah Mat Don has authored 39 papers receiving a total of 928 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Biomedical Engineering, 11 papers in Molecular Biology and 9 papers in Plant Science. Recurrent topics in Mashitah Mat Don's work include Biofuel production and bioconversion (7 papers), Microbial Metabolic Engineering and Bioproduction (6 papers) and Fungal Biology and Applications (5 papers). Mashitah Mat Don is often cited by papers focused on Biofuel production and bioconversion (7 papers), Microbial Metabolic Engineering and Bioproduction (6 papers) and Fungal Biology and Applications (5 papers). Mashitah Mat Don collaborates with scholars based in Malaysia. Mashitah Mat Don's co-authors include Yi Peng Teoh, Yen San Chan, Peck Loo Kiew, Noor Fazliani Shoparwe, Mohamad Hekarl Uzir, Zainal Ahmad, Megat Azmi Megat Johari, B.H. Abu Bakar, Syamsul Rizal Abd Shukor and Khairul Sozana Nor Kamarudin and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Hazardous Materials and Bioresource Technology.

In The Last Decade

Mashitah Mat Don

39 papers receiving 887 citations

Author Peers

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

Author Last Decade Papers Cites
Mashitah Mat Don 187 146 145 142 130 39 928
Carlos Castillo-Zacarías 153 0.8× 159 1.1× 129 0.9× 90 0.6× 147 1.1× 25 1.0k
Yu Wu 224 1.2× 161 1.1× 208 1.4× 82 0.6× 165 1.3× 46 1.1k
Saima Naz 126 0.7× 120 0.8× 241 1.7× 228 1.6× 84 0.6× 88 1.1k
Han Yang 97 0.5× 110 0.8× 184 1.3× 63 0.4× 101 0.8× 54 1.1k
Bushra Munir 142 0.8× 186 1.3× 162 1.1× 204 1.4× 153 1.2× 38 1.1k
Qianghua Zhang 81 0.4× 224 1.5× 211 1.5× 43 0.3× 199 1.5× 45 1.1k
Leipeng Cao 255 1.4× 75 0.5× 57 0.4× 178 1.3× 193 1.5× 36 1.1k
Masturah Markom 423 2.3× 216 1.5× 96 0.7× 104 0.7× 230 1.8× 69 1.2k
Yongjun Zhao 157 0.8× 192 1.3× 105 0.7× 237 1.7× 112 0.9× 39 1.2k
Zhao Ma 104 0.6× 191 1.3× 138 1.0× 44 0.3× 202 1.6× 35 1.0k

Countries citing papers authored by Mashitah Mat Don

Since Specialization
Citations

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

Fields of papers citing papers by Mashitah Mat Don

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mashitah Mat Don. 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 Mashitah Mat Don. The network helps show where Mashitah Mat Don may publish in the future.

Co-authorship network of co-authors of Mashitah Mat Don

This figure shows the co-authorship network connecting the top 25 collaborators of Mashitah Mat Don. A scholar is included among the top collaborators of Mashitah Mat Don 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 Mashitah Mat Don. Mashitah Mat Don 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