Kian Sing Chan

4.1k total citations
29 papers, 990 citations indexed

About

Kian Sing Chan is a scholar working on Infectious Diseases, Epidemiology and Parasitology. According to data from OpenAlex, Kian Sing Chan has authored 29 papers receiving a total of 990 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Infectious Diseases, 5 papers in Epidemiology and 5 papers in Parasitology. Recurrent topics in Kian Sing Chan's work include SARS-CoV-2 and COVID-19 Research (6 papers), COVID-19 Clinical Research Studies (6 papers) and Parasitic Infections and Diagnostics (5 papers). Kian Sing Chan is often cited by papers focused on SARS-CoV-2 and COVID-19 Research (6 papers), COVID-19 Clinical Research Studies (6 papers) and Parasitic Infections and Diagnostics (5 papers). Kian Sing Chan collaborates with scholars based in Singapore, United States and Australia. Kian Sing Chan's co-authors include Shirin Kalimuddin, Lynette Lin Ean Oon, Min‐Han Tan, Ken Junyang Goh, Ghee Chee Phua, Antonio Bertoletti, Yvonne Fu Zi Chan, Eng Eong Ooi, Salahudeen Mohamed Haja Mohideen and Jenny G. Low and has published in prestigious journals such as Scientific Reports, Journal of Clinical Microbiology and Ophthalmology.

In The Last Decade

Kian Sing Chan

29 papers receiving 971 citations

Peers

Kian Sing Chan
Dianna Ng United States
Susan E. Sharp United States
Jing Yan China
Michael Melgar United States
Kian Sing Chan
Citations per year, relative to Kian Sing Chan Kian Sing Chan (= 1×) peers Hongxia Wei

Countries citing papers authored by Kian Sing Chan

Since Specialization
Citations

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

Fields of papers citing papers by Kian Sing Chan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kian Sing Chan

This figure shows the co-authorship network connecting the top 25 collaborators of Kian Sing Chan. A scholar is included among the top collaborators of Kian Sing 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 Kian Sing Chan. Kian Sing 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.
Ko, Karrie Kwan Ki, Shireen Yan Ling Tan, Wan Loo Tan, et al.. (2022). SARS-CoV-2 N Gene G29195T Point Mutation May Affect Diagnostic Reverse Transcription-PCR Detection. Microbiology Spectrum. 10(1). e0222321–e0222321. 11 indexed citations
2.
Chong, Pek Yoon, Jabed Iqbal, Joe Yeong, et al.. (2021). Immune Response in Myocardial Injury: In Situ Hybridization and Immunohistochemistry Techniques for SARS-CoV-2 Detection in COVID-19 Autopsies. Frontiers in Molecular Biosciences. 8. 658932–658932. 3 indexed citations
3.
Teo, Alvin Kuo Jing, Yukti Choudhury, Iain Beehuat Tan, et al.. (2021). Author Correction: Saliva is more sensitive than nasopharyngeal or nasal swabs for diagnosis of asymptomatic and mild COVID-19 infection. Scientific Reports. 11(1). 12538–12538. 4 indexed citations
4.
Teo, Alvin Kuo Jing, Yukti Choudhury, Iain Beehuat Tan, et al.. (2021). Saliva is more sensitive than nasopharyngeal or nasal swabs for diagnosis of asymptomatic and mild COVID-19 infection. Scientific Reports. 11(1). 3134–3134. 90 indexed citations
5.
Goh, Kenneth C., et al.. (2021). Evaluation of the QIAstat-Dx Respiratory SARS-CoV-2 Panel for earlydiagnosis of COVID-19. Annals of the Academy of Medicine Singapore. 50(4). 369–370. 1 indexed citations
6.
Wan, Wei Yee, Koh Cheng Thoon, Liat Hui Loo, et al.. (2021). Trends in Respiratory Virus Infections During the COVID-19 Pandemic in Singapore, 2020. JAMA Network Open. 4(6). e2115973–e2115973. 50 indexed citations
7.
Tan, Rong, Yoke Lim Soong, Lynette Lin Ean Oon, et al.. (2020). Clinical utility of Epstein‐Barr virus DNA and other liquid biopsy markers in nasopharyngeal carcinoma. Cancer Communications. 40(11). 564–585. 61 indexed citations
8.
Ong, Eugenia Z., Yvonne Fu Zi Chan, Shirin Kalimuddin, et al.. (2020). A Dynamic Immune Response Shapes COVID-19 Progression. Cell Host & Microbe. 27(6). 879–882.e2. 203 indexed citations
9.
Chan, Kian Sing, et al.. (2020). Initial Experiences of Laboratory Diagnosis of Coronavirus Disease 2019 (COVID-19) in Singapore General Hospital. Annals of the Academy of Medicine Singapore. 49(6). 415–416. 1 indexed citations
10.
Zheng, Shuwei, Karrie Kwan Ki Ko, Kian Sing Chan, & Indumathi Venkatachalam. (2018). Case Report: Diagnosis of Cryptosporidiosis in Renal Transplantation in a Low-Prevalence Setting. American Journal of Tropical Medicine and Hygiene. 100(1). 78–80. 7 indexed citations
11.
Nei, Wen Long, Min Hu, Wai Min Phyo, et al.. (2016). Comparison of Circulating Tumour Cells and Circulating Cell-Free Epstein-Barr Virus DNA in Patients with Nasopharyngeal Carcinoma Undergoing Radiotherapy. Scientific Reports. 6(1). 13–13. 94 indexed citations
12.
Wong, Stephen Q., Andrew Fellowes, Jason Ellul, et al.. (2015). Assessing the clinical value of targeted massively parallel sequencing in a longitudinal, prospective population-based study of cancer patients. British Journal of Cancer. 112(8). 1411–1420. 40 indexed citations
13.
Lee, Phoebe, Ai Ling Tan, Kian Sing Chan, et al.. (2013). Microsporidial keratoconjunctivitis after rugby tournament, Singapore.. PubMed Central. 19(9). 1484–6. 11 indexed citations
14.
Koh, Tse Hsien, Thean Yen Tan, Prabha Krishnan, et al.. (2013). Changing molecular epidemiology and high rates of mupirocin resistance among meticillin-resistant Staphylococcus aureus in Singaporean hospitals. Journal of Global Antimicrobial Resistance. 2(1). 53–55. 17 indexed citations
15.
Chan, Kian Sing, et al.. (2013). Health Promotion Board-Ministry of Health Clinical Practice Guidelines: Treating Tobacco Use and Dependence. Singapore Medical Journal. 54(7). 411–416. 4 indexed citations
16.
Ng, Lily Siew Yong, et al.. (2012). Characterisation of significant Gram positive bacilli from soft tissue infections. Pathology. 45(2). 167–171. 2 indexed citations
17.
Koh, Tse Hsien, et al.. (2011). Successful treatment of NDM-1 Klebsiella pneumoniae bacteraemia in a neutropenic patient. Scandinavian Journal of Infectious Diseases. 44(4). 312–314. 14 indexed citations
18.
Loh, Raymond S.K., et al.. (2009). Emerging Prevalence of Microsporidial Keratitis in Singapore. Ophthalmology. 116(12). 2348–2353. 74 indexed citations
19.
Tan, Ai Ling & Kian Sing Chan. (2008). In vitro Activities of Antifungal Drugs Against Yeasts Isolated from Blood Cultures and Moulds Isolated from Various Clinically Significant Sites in Singapore. Annals of the Academy of Medicine Singapore. 37(10). 841–846. 8 indexed citations
20.
Chan, Kian Sing & Tse Hsien Koh. (2008). Extraction of microsporidial DNA from modified trichrome-stained clinical slides and subsequent species identification using PCR sequencing. Parasitology. 135(6). 701–703. 11 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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