Glanice K.Y. Chu

22 total papers · 832 total citations
15 papers, 737 citations indexed

About

Glanice K.Y. Chu is a scholar working on Molecular Biology, Pharmacology and Complementary and alternative medicine. According to data from OpenAlex, Glanice K.Y. Chu has authored 15 papers receiving a total of 737 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 4 papers in Pharmacology and 4 papers in Complementary and alternative medicine. Recurrent topics in Glanice K.Y. Chu's work include Cholinesterase and Neurodegenerative Diseases (4 papers), Ginseng Biological Effects and Applications (3 papers) and Alzheimer's disease research and treatments (3 papers). Glanice K.Y. Chu is often cited by papers focused on Cholinesterase and Neurodegenerative Diseases (4 papers), Ginseng Biological Effects and Applications (3 papers) and Alzheimer's disease research and treatments (3 papers). Glanice K.Y. Chu collaborates with scholars based in Hong Kong, China and United States. Glanice K.Y. Chu's co-authors include Karl Wah Keung Tsim, Roy C.Y. Choi, Karen Man‐Fong Sze, Irene Oi‐Lin Ng, Anna Cheung, Jun Li, Qiu Gao, Judy T.T. Zhu, Tina T. X. Dong and Jerry K.H. Cheung and has published in prestigious journals such as Hepatology, Journal of Agricultural and Food Chemistry and Brain Research.

In The Last Decade

Glanice K.Y. Chu

15 papers receiving 724 citations

Author Peers

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

Author						Papers	Cites
Glanice K.Y. Chu	379	187	146	109	92	15	737
Wen Zhang	390 1.0×	163 0.9×	101 0.7×	116 1.1×	74 0.8×	27	893
Kung-Wen Lu	385 1.0×	138 0.7×	135 0.9×	48 0.4×	106 1.2×	19	676
Li‐Xing Feng	577 1.5×	120 0.6×	147 1.0×	114 1.0×	66 0.7×	29	850
Nou‐Ying Tang	364 1.0×	226 1.2×	169 1.2×	55 0.5×	121 1.3×	19	871
Shuang Ren	360 0.9×	110 0.6×	104 0.7×	101 0.9×	129 1.4×	32	749
Kwang Hoon Song	423 1.1×	142 0.8×	82 0.6×	120 1.1×	70 0.8×	37	873
Liuyi Dong	305 0.8×	119 0.6×	71 0.5×	69 0.6×	61 0.7×	26	689
Po-Lin Kuo	400 1.1×	113 0.6×	73 0.5×	95 0.9×	75 0.8×	16	901
Cheng-Ying Hsieh	258 0.7×	257 1.4×	91 0.6×	54 0.5×	56 0.6×	23	724
Fuling Luo	242 0.6×	163 0.9×	99 0.7×	43 0.4×	89 1.0×	19	644

Countries citing papers authored by Glanice K.Y. Chu

Since Specialization

Citations

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

Fields of papers citing papers by Glanice K.Y. Chu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Glanice K.Y. Chu. 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 Glanice K.Y. Chu. The network helps show where Glanice K.Y. Chu may publish in the future.

Co-authorship network of co-authors of Glanice K.Y. Chu

This figure shows the co-authorship network connecting the top 25 collaborators of Glanice K.Y. Chu. A scholar is included among the top collaborators of Glanice K.Y. Chu 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 Glanice K.Y. Chu. Glanice K.Y. Chu 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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