Si Min Chan

548 total citations
14 papers, 70 citations indexed

About

Si Min Chan is a scholar working on Epidemiology, Infectious Diseases and Surgery. According to data from OpenAlex, Si Min Chan has authored 14 papers receiving a total of 70 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Epidemiology, 5 papers in Infectious Diseases and 3 papers in Surgery. Recurrent topics in Si Min Chan's work include Respiratory viral infections research (2 papers), Pneumonia and Respiratory Infections (2 papers) and Kawasaki Disease and Coronary Complications (2 papers). Si Min Chan is often cited by papers focused on Respiratory viral infections research (2 papers), Pneumonia and Respiratory Infections (2 papers) and Kawasaki Disease and Coronary Complications (2 papers). Si Min Chan collaborates with scholars based in Singapore, United Kingdom and United States. Si Min Chan's co-authors include D. J. Atherton, Michael J. Dillon, P.G. Duffy, Guan Huei Lee, Koh Cheng Thoon, Sharon Saw, Chee Fang Sum, Su Chi Lim, Sylvia Liu and Christina Ong and has published in prestigious journals such as British Journal of Dermatology, The Pediatric Infectious Disease Journal and Pediatric Neurology.

In The Last Decade

Si Min Chan

13 papers receiving 67 citations

Peers

Si Min Chan
Comparison fields: 5 of 38
  • Cell Biology 29
  • Pathology and Forensic Medicine 23
  • Epidemiology 14
  • Physiology 13
  • Molecular Biology 12
Replace Arvind Krishna with:
Arvind Krishna India
Maria Kinberger Germany
Luz E Colón United States
Bastian Krone Germany
Caroline Mahon New Zealand
Jo Lambert Belgium
Juan Velasco Spain
X.F. Colin C. Wong Singapore
Nicola Milanesi Italy
R Vives Spain
Arvind Krishna India View profile →
Citations per field, relative to Si Min Chan
Si Min Chan · 1×
Citations per year, relative to Si Min Chan
Si Min Chan · 1×

Countries citing papers authored by Si Min Chan

Since Specialization
Citations

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

Fields of papers citing papers by Si Min Chan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Si Min Chan

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

All Works

14 of 14 papers shown
# Work Indexed citations
1 1
2 1
3 1
4 2
5 1
6
The evolution of severity of paediatric COVID-19 in Singapore: Vertical transmission and multisystem inflammatory syndrome in children.
4
7 5
8 0
9 1
10 1
11 1
12 6
13 14
14 32

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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2026