Ching Yan Chu

2.0k total citations
32 papers, 1.6k citations indexed

About

Ching Yan Chu is a scholar working on Molecular Biology, Pathology and Forensic Medicine and Health, Toxicology and Mutagenesis. According to data from OpenAlex, Ching Yan Chu has authored 32 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 6 papers in Pathology and Forensic Medicine and 6 papers in Health, Toxicology and Mutagenesis. Recurrent topics in Ching Yan Chu's work include Tea Polyphenols and Effects (6 papers), Mercury impact and mitigation studies (6 papers) and Melamine detection and toxicity (5 papers). Ching Yan Chu is often cited by papers focused on Tea Polyphenols and Effects (6 papers), Mercury impact and mitigation studies (6 papers) and Melamine detection and toxicity (5 papers). Ching Yan Chu collaborates with scholars based in Hong Kong, China and United States. Ching Yan Chu's co-authors include Chi Chiu Wang, Mark P. Mattson, Barbara Rychlik, Michael S. Rogers, Kai On Chu, Kwong Wai Choy, Chi Pui Pang, Hui Xu, Wai Ting Lui and Jun Wang and has published in prestigious journals such as Journal of Biological Chemistry, Nature Communications and Neuron.

In The Last Decade

Ching Yan Chu

32 papers receiving 1.6k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Ching Yan Chu Hong Kong 21 398 354 233 198 149 32 1.6k
Bhagu R. Bhavnani Canada 24 454 1.1× 144 0.4× 243 1.0× 166 0.8× 57 0.4× 79 1.8k
Kentaro Matsuzaki Japan 27 1.0k 2.5× 180 0.5× 70 0.3× 72 0.4× 290 1.9× 94 2.6k
Luiz Gustavo de Almeida Chuffa Brazil 27 600 1.5× 82 0.2× 105 0.5× 283 1.4× 35 0.2× 115 2.0k
H. Onodera Japan 25 691 1.7× 444 1.3× 115 0.5× 67 0.3× 35 0.2× 91 2.0k
Masayuki Saito Japan 26 968 2.4× 186 0.5× 75 0.3× 257 1.3× 48 0.3× 61 2.6k
Ji Young Kim South Korea 26 664 1.7× 82 0.2× 105 0.5× 41 0.2× 117 0.8× 91 1.8k
Konrad Kleszczyński Germany 28 440 1.1× 98 0.3× 103 0.4× 36 0.2× 79 0.5× 55 2.1k
Maria Graziella Catalano Italy 36 1.3k 3.3× 96 0.3× 213 0.9× 163 0.8× 61 0.4× 83 3.3k
Stefano Falone Italy 27 569 1.4× 112 0.3× 64 0.3× 369 1.9× 31 0.2× 54 2.3k
Altuğ Yavaşoğlu Türkiye 22 163 0.4× 63 0.2× 72 0.3× 205 1.0× 25 0.2× 62 1.1k

Countries citing papers authored by Ching Yan Chu

Since Specialization
Citations

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

Fields of papers citing papers by Ching Yan Chu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ching Yan 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 Ching Yan Chu. The network helps show where Ching Yan Chu may publish in the future.

Co-authorship network of co-authors of Ching Yan Chu

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

All Works

20 of 20 papers shown
1.
Liang, Bo, Ruizhe Zhang, Ching Yan Chu, et al.. (2021). Receptor Tyrosine Kinase Inhibitor Sunitinib as Novel Immunotherapy to Inhibit Myeloid-Derived Suppressor Cells for Treatment of Endometriosis. Frontiers in Immunology. 12. 641206–641206. 12 indexed citations
2.
Li, Yuying, Jie Yuan, Fengyuan Chen, et al.. (2020). Long noncoding RNA SAM promotes myoblast proliferation through stabilizing Sugt1 and facilitating kinetochore assembly. Nature Communications. 11(1). 2725–2725. 20 indexed citations
3.
Wang, Chi Chiu, Gene Chi Wai Man, Ching Yan Chu, et al.. (2014). Serotonin Receptor 6 Mediates Defective Brain Development in Monoamine Oxidase A-deficient Mouse Embryos. Journal of Biological Chemistry. 289(12). 8252–8263. 12 indexed citations
4.
Wang, Chi Chiu, Hui Xu, Gene Chi Wai Man, et al.. (2012). Prodrug of green tea epigallocatechin-3-gallate (Pro-EGCG) as a potent anti-angiogenesis agent for endometriosis in mice. Angiogenesis. 16(1). 59–69. 91 indexed citations
5.
Chu, Ching Yan, et al.. (2012). Melamine in prenatal and postnatal organs in rats. Reproductive Toxicology. 35. 40–47. 19 indexed citations
6.
Wang, Chi Chiu, Astrid Borchert, Aslihan Ugun‐Klusek, et al.. (2011). Monoamine Oxidase A Expression Is Vital for Embryonic Brain Development by Modulating Developmental Apoptosis. Journal of Biological Chemistry. 286(32). 28322–28330. 35 indexed citations
7.
8.
Chu, Ching Yan, et al.. (2010). Identification of hemopexin in tear film. Analytical Biochemistry. 404(1). 82–85. 13 indexed citations
9.
Khaw, Kim S., Warwick D. Ngan Kee, Ching Yan Chu, et al.. (2010). Effects of different inspired oxygen fractions on lipid peroxidation during general anaesthesia for elective Caesarean section. British Journal of Anaesthesia. 105(3). 355–360. 24 indexed citations
10.
Chu, Ching Yan, Kai On Chu, Judy Yuet‐Wa Chan, et al.. (2010). Distribution of melamine in rat foetuses and neonates. Toxicology Letters. 199(3). 398–402. 35 indexed citations
11.
Chu, Ching Yan, et al.. (2008). Human normal tear proteome. Graefe s Archive for Clinical and Experimental Ophthalmology. 247(6). 725–727. 6 indexed citations
12.
Xu, Hui, et al.. (2008). Anti-angiogenic effects of green tea catechin on an experimental endometriosis mouse model. Human Reproduction. 24(3). 608–618. 97 indexed citations
13.
Chu, Kai On, Chi Chiu Wang, Ching Yan Chu, et al.. (2006). Uptake and distribution of catechins in fetal organs following in utero exposure in rats. Human Reproduction. 22(1). 280–287. 55 indexed citations
14.
Chu, Ching Yan, Tze Kin Lau, Michael S. Rogers, et al.. (2006). Metabolomic and bioinformatic analyses in asphyxiated neonates. Clinical Biochemistry. 39(3). 203–209. 30 indexed citations
15.
Chu, Kai On, Chi Chiu Wang, Ching Yan Chu, et al.. (2006). Pharmacokinetic studies of green tea catechins in maternal plasma and fetuses in rats. Journal of Pharmaceutical Sciences. 95(6). 1372–1381. 56 indexed citations
16.
Wang, Chi Chiu, Tze Kin Lau, Ching Yan Chu, et al.. (2005). Meconium-stained liquor during labor is associated with raised neonatal cord blood 8-iso-prostaglandin F2α concentration. American Journal of Obstetrics and Gynecology. 192(1). 289–294. 11 indexed citations
17.
Chu, Kai On, Chi Chiu Wang, Ching Yan Chu, et al.. (2004). Determination of catechins and catechin gallates in tissues by liquid chromatography with coulometric array detection and selective solid phase extraction. Journal of Chromatography B. 810(2). 187–195. 48 indexed citations
18.
Bogden, John D., et al.. (1992). Dietary Calcium Modifies Concentrations of Lead and Other Metals and Renal Calbindin in Rats. Journal of Nutrition. 122(7). 1351–1360. 80 indexed citations
19.
Sonnenberg, June L., et al.. (1991). Calcium binding protein (calbindin-D28k) and glutamate decarboxylase gene expression after kindling induced seizures. Molecular Brain Research. 9(3). 179–190. 38 indexed citations
20.

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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