Chia Ching Chan

660 total citations
8 papers, 474 citations indexed

About

Chia Ching Chan is a scholar working on Molecular Biology, Biomedical Engineering and Rheumatology. According to data from OpenAlex, Chia Ching Chan has authored 8 papers receiving a total of 474 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 3 papers in Biomedical Engineering and 2 papers in Rheumatology. Recurrent topics in Chia Ching Chan's work include Biosensors and Analytical Detection (2 papers), Bone and Dental Protein Studies (2 papers) and Connective tissue disorders research (2 papers). Chia Ching Chan is often cited by papers focused on Biosensors and Analytical Detection (2 papers), Bone and Dental Protein Studies (2 papers) and Connective tissue disorders research (2 papers). Chia Ching Chan collaborates with scholars based in United States, Singapore and Denmark. Chia Ching Chan's co-authors include Michael Diem, Gideon Dreyfuss, Matthias Mann, Juri Rappsilber, Josée Dostie, Gaston Vilaire, Joel Bennett, Shaker A. Mousa, William F. DeGrado and Ihab Younis and has published in prestigious journals such as Journal of Biological Chemistry, Scientific Reports and International Journal of Molecular Sciences.

In The Last Decade

Chia Ching Chan

8 papers receiving 464 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chia Ching Chan United States 5 329 57 56 51 49 8 474
Laura Zamurs Australia 7 170 0.5× 99 1.7× 56 1.0× 24 0.5× 32 0.7× 7 393
Matthias G.O. Lorenz United States 9 166 0.5× 25 0.4× 38 0.7× 27 0.5× 27 0.6× 14 544
Zhiguang Gao United States 9 354 1.1× 24 0.4× 73 1.3× 19 0.4× 33 0.7× 10 851
Irene Klein United States 11 218 0.7× 48 0.8× 23 0.4× 15 0.3× 73 1.5× 15 561
Stewart T. Moran United States 8 233 0.7× 49 0.9× 108 1.9× 20 0.4× 31 0.6× 9 717
In-San Kim South Korea 6 281 0.9× 40 0.7× 34 0.6× 23 0.5× 8 0.2× 8 432
Nanette Mittereder United States 6 177 0.5× 34 0.6× 38 0.7× 40 0.8× 11 0.2× 8 371
Hidetoshi Uemura Japan 11 112 0.3× 18 0.3× 51 0.9× 16 0.3× 61 1.2× 17 391
Dorottya Kövesdi Hungary 12 208 0.6× 18 0.3× 48 0.9× 28 0.5× 18 0.4× 24 563
T Kitamura Japan 7 215 0.7× 16 0.3× 37 0.7× 11 0.2× 60 1.2× 14 399

Countries citing papers authored by Chia Ching Chan

Since Specialization
Citations

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

Fields of papers citing papers by Chia Ching Chan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chia Ching Chan

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

All Works

8 of 8 papers shown
1.
Wu, Xiaolin, Chia Ching Chan, J. Loh, et al.. (2024). Electrostatic microfiltration (EM) enriches and recovers viable microorganisms at low-abundance in large-volume samples and enhances downstream detection. Lab on a Chip. 24(18). 4275–4287. 2 indexed citations
2.
Farkas, Eszter, Geoffrey A. McKay, Lin Hu, et al.. (2024). Bioluminescent Pseudomonas aeruginosa and Escherichia coli for whole-cell screening of antibacterial and adjuvant compounds. Scientific Reports. 14(1). 31039–31039. 2 indexed citations
3.
Ho, Peiying, Chia Ching Chan, Thet Tun Aung, et al.. (2024). Screening of the PA14NR Transposon Mutant Library Identifies Genes Involved in Resistance to Bacteriophage Infection in Pseudomomas aeruginosa. International Journal of Molecular Sciences. 25(13). 7009–7009. 3 indexed citations
4.
Jia, Huan, Eric A. Miller, Chia Ching Chan, et al.. (2022). Development and translation of a paper-based top readout vertical flow assay for SARS-CoV-2 surveillance. Lab on a Chip. 22(7). 1321–1332. 8 indexed citations
5.
Diem, Michael, Chia Ching Chan, Ihab Younis, & Gideon Dreyfuss. (2007). PYM binds the cytoplasmic exon-junction complex and ribosomes to enhance translation of spliced mRNAs. Nature Structural & Molecular Biology. 14(12). 1173–1179. 93 indexed citations
6.
Chan, Chia Ching, Josée Dostie, Michael Diem, et al.. (2004). eIF4A3 is a novel component of the exon junction complex. RNA. 10(2). 200–209. 215 indexed citations
7.
Chan, Chia Ching, et al.. (2000). The Activation State of αvβ3Regulates Platelet and Lymphocyte Adhesion to Intact and Thrombin-cleaved Osteopontin. Journal of Biological Chemistry. 275(24). 18337–18343. 65 indexed citations
8.
Bennett, Joel, Chia Ching Chan, Gaston Vilaire, Shaker A. Mousa, & William F. DeGrado. (1997). Agonist-activated αvμ3 on Platelets and Lymphocytes Binds to the Matrix Protein Osteopontin. Journal of Biological Chemistry. 272(13). 8137–8140. 86 indexed citations

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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