Hui Wen Ng

26 total papers · 1.3k total citations
23 papers, 650 citations indexed

About

Hui Wen Ng is a scholar working on Computational Theory and Mathematics, Molecular Biology and Genetics. According to data from OpenAlex, Hui Wen Ng has authored 23 papers receiving a total of 650 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Computational Theory and Mathematics, 10 papers in Molecular Biology and 8 papers in Genetics. Recurrent topics in Hui Wen Ng's work include Computational Drug Discovery Methods (12 papers), Estrogen and related hormone effects (5 papers) and Receptor Mechanisms and Signaling (5 papers). Hui Wen Ng is often cited by papers focused on Computational Drug Discovery Methods (12 papers), Estrogen and related hormone effects (5 papers) and Receptor Mechanisms and Signaling (5 papers). Hui Wen Ng collaborates with scholars based in United States, Malaysia and China. Hui Wen Ng's co-authors include Huixiao Hong, Weida Tong, Roger Perkins, Heng Luo, Stephen W. Doughty, Charles A. Laughton, Weigong Ge, Mao Shu, Sugunadevi Sakkiah and Donna L. Mendrick and has published in prestigious journals such as Scientific Reports, Environment International and BMC Bioinformatics.

In The Last Decade

Hui Wen Ng

23 papers receiving 638 citations

Author Peers

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

Author						Papers	Cites
Hui Wen Ng	288	182	135	123	49	23	650
Wafa Harrouk	247 0.9×	82 0.5×	66 0.5×	207 1.7×	48 1.0×	26	777
Jennifer E. Foreman	452 1.6×	34 0.2×	66 0.5×	96 0.8×	98 2.0×	30	793
Ming-Hsuang Cho	293 1.0×	182 1.0×	42 0.3×	101 0.8×	33 0.7×	10	641
Noriko Kanaya	334 1.2×	44 0.2×	119 0.9×	70 0.6×	15 0.3×	27	711
Catherine S. Sprankle	241 0.8×	131 0.7×	20 0.1×	177 1.4×	38 0.8×	20	690
Katra Kolšek	179 0.6×	57 0.3×	54 0.4×	183 1.5×	31 0.6×	15	554
Julia Walton	351 1.2×	74 0.4×	290 2.1×	20 0.2×	146 3.0×	21	648
Anne‐Marie Boussioux	296 1.0×	23 0.1×	252 1.9×	317 2.6×	48 1.0×	24	705
Ching‐Yi Hsieh	214 0.7×	27 0.1×	299 2.2×	75 0.6×	30 0.6×	16	763
Jan Ljunggren	457 1.6×	61 0.3×	163 1.2×	15 0.1×	40 0.8×	16	696

Countries citing papers authored by Hui Wen Ng

Since Specialization

Citations

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

Fields of papers citing papers by Hui Wen Ng

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hui Wen Ng. 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 Hui Wen Ng. The network helps show where Hui Wen Ng may publish in the future.

Co-authorship network of co-authors of Hui Wen Ng

This figure shows the co-authorship network connecting the top 25 collaborators of Hui Wen Ng. A scholar is included among the top collaborators of Hui Wen Ng 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 Hui Wen Ng. Hui Wen Ng 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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