Winnie-Pui-Pui Liew

13 total papers · 2.2k total citations
11 papers, 1.6k citations indexed

About

Winnie-Pui-Pui Liew is a scholar working on Molecular Biology, Plant Science and Food Science. According to data from OpenAlex, Winnie-Pui-Pui Liew has authored 11 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 6 papers in Plant Science and 5 papers in Food Science. Recurrent topics in Winnie-Pui-Pui Liew's work include Mycotoxins in Agriculture and Food (5 papers), Probiotics and Fermented Foods (5 papers) and Gut microbiota and health (3 papers). Winnie-Pui-Pui Liew is often cited by papers focused on Mycotoxins in Agriculture and Food (5 papers), Probiotics and Fermented Foods (5 papers) and Gut microbiota and health (3 papers). Winnie-Pui-Pui Liew collaborates with scholars based in Malaysia and Iraq. Winnie-Pui-Pui Liew's co-authors include Bee Ling Tan, Mohd Esa Norhaizan, Heshu Sulaiman Rahman, Mohd Redzwan Sabran, Leslie Thian Lung Than, Amin Ismail, Hui Kian Ong, Chean Yeah Yong, Chit Laa Poh and Rasmina Halis and has published in prestigious journals such as Frontiers in Microbiology, Waste Management and Food and Chemical Toxicology.

In The Last Decade

Winnie-Pui-Pui Liew

11 papers receiving 1.5k citations

Hit Papers

Antioxidant and Oxidative... 2018 2026 2020 2023 2018 2018 250 500 750

Author Peers

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

Author Last Decade Papers Cites
Winnie-Pui-Pui Liew 450 440 219 207 186 11 1.6k
Myrlene Carine B. Tossou 319 0.7× 530 1.2× 179 0.8× 232 1.1× 185 1.0× 9 1.8k
R D Lele 257 0.6× 364 0.8× 135 0.6× 179 0.9× 134 0.7× 20 1.5k
Linbao Ji 227 0.5× 718 1.6× 210 1.0× 150 0.7× 166 0.9× 14 1.8k
Najma Rahu 317 0.7× 583 1.3× 191 0.9× 232 1.1× 188 1.0× 9 1.9k
D Koraćević 341 0.8× 245 0.6× 164 0.7× 107 0.5× 234 1.3× 9 1.7k
Sheng Yang 336 0.7× 491 1.1× 232 1.1× 218 1.1× 350 1.9× 12 2.2k
Sreejayan 302 0.7× 461 1.0× 218 1.0× 180 0.9× 91 0.5× 7 1.6k
Sandip Chakraborty 271 0.6× 505 1.1× 143 0.7× 223 1.1× 220 1.2× 26 2.1k
Ishita Chattopadhyay 726 1.6× 511 1.2× 118 0.5× 370 1.8× 218 1.2× 12 2.3k
Bee Ling Tan 255 0.6× 651 1.5× 377 1.7× 174 0.8× 262 1.4× 26 2.0k

Countries citing papers authored by Winnie-Pui-Pui Liew

Since Specialization
Citations

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

Fields of papers citing papers by Winnie-Pui-Pui Liew

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Winnie-Pui-Pui Liew. 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 Winnie-Pui-Pui Liew. The network helps show where Winnie-Pui-Pui Liew may publish in the future.

Co-authorship network of co-authors of Winnie-Pui-Pui Liew

This figure shows the co-authorship network connecting the top 25 collaborators of Winnie-Pui-Pui Liew. A scholar is included among the top collaborators of Winnie-Pui-Pui Liew 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 Winnie-Pui-Pui Liew. Winnie-Pui-Pui Liew is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Loading papers...

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026