Maw Shin Sim

38 total papers · 571 total citations
28 papers, 416 citations indexed

About

Maw Shin Sim is a scholar working on Molecular Biology, Oncology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Maw Shin Sim has authored 28 papers receiving a total of 416 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 6 papers in Oncology and 5 papers in Cellular and Molecular Neuroscience. Recurrent topics in Maw Shin Sim's work include Neurotransmitter Receptor Influence on Behavior (5 papers), Dengue and Mosquito Control Research (3 papers) and Malaria Research and Control (3 papers). Maw Shin Sim is often cited by papers focused on Neurotransmitter Receptor Influence on Behavior (5 papers), Dengue and Mosquito Control Research (3 papers) and Malaria Research and Control (3 papers). Maw Shin Sim collaborates with scholars based in Malaysia, Japan and United States. Maw Shin Sim's co-authors include Yuan Seng Wu, Rhanye Mac Guad, Zahurin Mohamed, Ivy Chung, Won Fen Wong, Atsushi Masamune, Chung Yeng Looi, Ahmad Hatim, Srinivasa Reddy Bonam and Ismail M. Fareez and has published in prestigious journals such as PLoS ONE, Brain Research and International Journal of Environmental Research and Public Health.

In The Last Decade

Maw Shin Sim

23 papers receiving 412 citations

Author Peers

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

Author Last Decade Papers Cites
Maw Shin Sim 149 109 93 63 54 28 416
Huatian Gan 158 1.1× 74 0.7× 65 0.7× 69 1.1× 19 0.4× 22 490
Kajal Rawat 140 0.9× 61 0.6× 37 0.4× 31 0.5× 23 0.4× 21 467
S Schlosser 208 1.4× 110 1.0× 70 0.8× 27 0.4× 16 0.3× 22 419
Zhen He 214 1.4× 61 0.6× 95 1.0× 17 0.3× 61 1.1× 24 449
Yuxin Liu 195 1.3× 100 0.9× 53 0.6× 19 0.3× 23 0.4× 26 480
Fei Qian 211 1.4× 62 0.6× 72 0.8× 89 1.4× 12 0.2× 26 466
S. Syed 151 1.0× 92 0.8× 43 0.5× 28 0.4× 39 0.7× 30 474
Denise Lowe 100 0.7× 133 1.2× 26 0.3× 61 1.0× 25 0.5× 26 478
Tanya Gregory 255 1.7× 63 0.6× 65 0.7× 15 0.2× 27 0.5× 26 493
Ji Yeon Lim 168 1.1× 81 0.7× 61 0.7× 33 0.5× 14 0.3× 43 480

Countries citing papers authored by Maw Shin Sim

Since Specialization
Citations

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

Fields of papers citing papers by Maw Shin Sim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Maw Shin Sim. 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 Maw Shin Sim. The network helps show where Maw Shin Sim may publish in the future.

Co-authorship network of co-authors of Maw Shin Sim

This figure shows the co-authorship network connecting the top 25 collaborators of Maw Shin Sim. A scholar is included among the top collaborators of Maw Shin Sim 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 Maw Shin Sim. Maw Shin Sim 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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