Kuan Rong Chan

1.6k total citations
50 papers, 953 citations indexed

About

Kuan Rong Chan is a scholar working on Infectious Diseases, Public Health, Environmental and Occupational Health and Epidemiology. According to data from OpenAlex, Kuan Rong Chan has authored 50 papers receiving a total of 953 indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Infectious Diseases, 28 papers in Public Health, Environmental and Occupational Health and 12 papers in Epidemiology. Recurrent topics in Kuan Rong Chan's work include Mosquito-borne diseases and control (28 papers), Viral Infections and Vectors (20 papers) and SARS-CoV-2 and COVID-19 Research (8 papers). Kuan Rong Chan is often cited by papers focused on Mosquito-borne diseases and control (28 papers), Viral Infections and Vectors (20 papers) and SARS-CoV-2 and COVID-19 Research (8 papers). Kuan Rong Chan collaborates with scholars based in Singapore, United States and Taiwan. Kuan Rong Chan's co-authors include Eng Eong Ooi, Hwee Cheng Tan, Eugenia Z. Ong, Summer L. Zhang, Darren Z. L. Mok, Esther S. Gan, Angeline Lim, Brendon J. Hanson, Subhash G. Vasudevan and Jenny G. Low and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Investigation and Nature Medicine.

In The Last Decade

Kuan Rong Chan

45 papers receiving 939 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kuan Rong Chan Singapore 19 577 514 219 174 145 50 953
Eugenia Z. Ong Singapore 18 758 1.3× 475 0.9× 307 1.4× 241 1.4× 121 0.8× 34 1.1k
Summer L. Zhang Singapore 17 659 1.1× 591 1.1× 155 0.7× 128 0.7× 103 0.7× 22 936
Xavier Carnec France 13 750 1.3× 578 1.1× 304 1.4× 178 1.0× 193 1.3× 19 1.2k
Esther S. Gan Singapore 18 468 0.8× 302 0.6× 248 1.1× 193 1.1× 106 0.7× 25 797
Amonrat Jumnainsong Thailand 12 729 1.3× 799 1.6× 177 0.8× 127 0.7× 140 1.0× 41 1.2k
Lucile Warter United States 12 360 0.6× 425 0.8× 184 0.8× 103 0.6× 161 1.1× 21 688
Jaturong Sewatanon Thailand 8 486 0.8× 484 0.9× 132 0.6× 134 0.8× 221 1.5× 10 792
Michael A. Angelo United States 11 832 1.4× 853 1.7× 293 1.3× 354 2.0× 161 1.1× 15 1.3k
Stephen M. Rawlinson Australia 15 403 0.7× 364 0.7× 97 0.4× 251 1.4× 197 1.4× 27 874
Douglas G. Widman United States 20 712 1.2× 800 1.6× 213 1.0× 196 1.1× 286 2.0× 29 1.2k

Countries citing papers authored by Kuan Rong Chan

Since Specialization
Citations

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

Fields of papers citing papers by Kuan Rong Chan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kuan Rong Chan

This figure shows the co-authorship network connecting the top 25 collaborators of Kuan Rong Chan. A scholar is included among the top collaborators of Kuan Rong 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 Kuan Rong Chan. Kuan Rong Chan 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.
Ooi, Justin S. G., Corrine Wan, Peter I. Benke, et al.. (2025). Glycans on non-structural protein 1 prevent premature T-cell mediated dengue virus clearance. EMBO Molecular Medicine. 17(11). 2995–3020.
2.
Vicente, Creuza Rachel, et al.. (2025). Machine Learning and Artificial Intelligence for Infectious Disease Surveillance, Diagnosis, and Prognosis. Viruses. 17(7). 882–882. 4 indexed citations
3.
Zhong, Youjia, Alicia Kang, Chee Wah Tan, et al.. (2024). Correlates of protection against symptomatic SARS-CoV-2 in vaccinated children. Nature Medicine. 30(5). 1373–1383. 10 indexed citations
4.
Vicente, Creuza Rachel, Crispim Cerutti, Angélica Espinosa Miranda, et al.. (2024). Factors Associated with Chronic Chikungunya in Vitória, Espírito Santo State, Brazil, Between 2016 and 2020. Viruses. 16(11). 1679–1679.
5.
Ooi, Justin S. G., et al.. (2023). STAGEs: A web-based tool that integrates data visualization and pathway enrichment analysis for gene expression studies. Scientific Reports. 13(1). 7135–7135. 4 indexed citations
6.
Chan, Kuan Rong, Dorothy Hui Lin Ng, Shijie Qin, et al.. (2023). Early peripheral blood MCEMP1 and HLA-DRA expression predicts COVID-19 prognosis. EBioMedicine. 89. 104472–104472. 9 indexed citations
7.
Ong, Eugenia Z., Danny Jian Hang Tng, Justin S. G. Ooi, et al.. (2023). RNase2 is a possible trigger of acute-on-chronic inflammation leading to mRNA vaccine-associated cardiac complication. Med. 4(6). 353–360.e2. 3 indexed citations
8.
Anderson, Danielle E., Abhay P. S. Rathore, Chinmay Kumar Mantri, et al.. (2023). Mast cell activation in lungs during SARS-CoV-2 infection associated with lung pathology and severe COVID-19. Journal of Clinical Investigation. 133(19). 14 indexed citations
9.
Chan, Kuan Rong, et al.. (2023). The Functional Roles of MDSCs in Severe COVID-19 Pathogenesis. Viruses. 16(1). 27–27. 4 indexed citations
10.
Ong, Eugenia Z., Jia Xin Yee, Justin S. G. Ooi, et al.. (2022). Immune gene expression analysis indicates the potential of a self-amplifying Covid-19 mRNA vaccine. npj Vaccines. 7(1). 154–154. 7 indexed citations
11.
Tan, Hwee Cheng, et al.. (2022). A protocol to assess cellular bioenergetics in flavivirus-infected cells. STAR Protocols. 3(2). 101297–101297. 3 indexed citations
12.
Cui, Liang, Wenjie Qiao, Martin Linster, et al.. (2022). TMEM41B and VMP1 modulate cellular lipid and energy metabolism for facilitating dengue virus infection. PLoS Pathogens. 18(8). e1010763–e1010763. 25 indexed citations
13.
Gan, Esther S., Cui Liang, Hwee Cheng Tan, et al.. (2021). Dysregulated metabolism underpins Zika-virus-infection-associated impairment in fetal development. Cell Reports. 37(11). 110118–110118. 22 indexed citations
14.
Mok, Darren Z. L., et al.. (2020). The effects of aging on host resistance and disease tolerance to SARS‐CoV‐2 infection. FEBS Journal. 288(17). 5055–5070. 4 indexed citations
15.
Chan, Kuan Rong, Esther S. Gan, Cui Liang, et al.. (2019). Metabolic perturbations and cellular stress underpin susceptibility to symptomatic live-attenuated yellow fever infection. Nature Medicine. 25(8). 1218–1224. 32 indexed citations
16.
Bidet, Katell, Collins Wenhan Chu, Ahmad Nazri Mohamed Naim, et al.. (2019). Mimicking immune signatures of flavivirus infection with targeted adjuvants improves dengue subunit vaccine immunogenicity. npj Vaccines. 4(1). 27–27. 17 indexed citations
17.
Gan, Esther S., Eugenia Z. Ong, Summer L. Zhang, et al.. (2019). Antibody-Dependent Dengue Virus Entry Modulates Cell Intrinsic Responses for Enhanced Infection. mSphere. 4(5). 30 indexed citations
18.
Gan, Esther S., Wei Fun Cheong, Kuan Rong Chan, et al.. (2017). Hypoxia enhances antibody‐dependent dengue virus infection. The EMBO Journal. 36(10). 1348–1363. 17 indexed citations
19.
Chan, Kuan Rong, Xiaohui Wang, Wilfried A. A. Saron, et al.. (2016). Cross-reactive antibodies enhance live attenuated virus infection for increased immunogenicity. Nature Microbiology. 1(12). 16164–16164. 76 indexed citations
20.
Boden, Catherine, Kuan Rong Chan, Terrence J. Sejnowski, et al.. (2003). Assessing Validity of Visual Field Clustering Schemes for Standard Perimetry Using Machine Learning Classifiers. Investigative Ophthalmology & Visual Science. 44(13). 60–60.

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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