Siaw Shi Boon

2.2k citations
42 papers · 1.4k indexed · 2 hit papers · h-index 18

Siaw Shi Boon

42 papers receiving 1.4k citations

Hit Papers

Acceptance of the COVID-19 vaccine based on the health be...3762020202620222024100200300

Peers

Siaw Shi Boon
Comparison fields: 5 of 126
  • Health 316
  • Modeling and Simulation 145
  • Infectious Diseases 541
  • Biological Psychiatry 42
  • Otorhinolaryngology 46
Replace Megan A. O’Brien with:
Megan A. O’Brien United States
Jinjong Myoung South Korea
Corinne Vandermeulen Belgium
Ashley L. Fink United States
Olivier Uwishema United States
Neta S. Zuckerman Israel
Eileen P. Scully United States
Simone J.C.F.M. Moorlag Netherlands
Alexander Zink Germany
Haijun Deng China
Siaw Shi Boon relative to Megan A. O’Brien United States Megan A. O’Brien's profile →
Citations per field
00.5×3.7×
Megan A. O’Brien · 1×
Citations per year

Countries citing papers authored by Siaw Shi Boon

Since Specialization
Citations

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

Fields of papers citing papers by Siaw Shi Boon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Siaw Shi Boon. 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 Siaw Shi Boon. The network helps show where Siaw Shi Boon may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Siaw Shi Boon, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Siaw Shi Boon Line = papers co-authored together Siaw Shi Boon links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20251
2 20244
3 20242
4 20243
5 20235
6 20232
7 20233
8 20235
9 202228
10 202218
11 20216
12 202112
13
Depicting SARS-CoV-2 faecal viral activity in association with gut microbiota composition in patients with COVID-19breakdown →
2020342
14 202042
15 20199
16 201927
17 201913
18 201510
19 201272
20 201233

About Siaw Shi Boon

Siaw Shi Boon is a scholar working on Otorhinolaryngology, Infectious Diseases and Modeling and Simulation, having authored 42 papers that have together received 1.4k indexed citations. Recurring topics across this work include Cervical Cancer and HPV Research (16 papers), SARS-CoV-2 and COVID-19 Research (11 papers), Cancer-related Molecular Pathways (9 papers), SARS-CoV-2 detection and testing (7 papers), Head and Neck Cancer Studies (6 papers), Viral gastroenteritis research and epidemiology (3 papers), COVID-19 epidemiological studies (3 papers) and Bacteriophages and microbial interactions (3 papers). The work is most often cited by research in Health (316 citations), Modeling and Simulation (145 citations) and Infectious Diseases (541 citations). Siaw Shi Boon has collaborated with scholars based in Hong Kong, China and Italy. Frequent co-authors include Paul K.S. Chan, Zigui Chen, Lawrence Banks, Martin C. S. Wong, Christopher K.C. Lai, Rita W. Y. Ng, Junjie Huang, Grace Lui, Ka Chun Chong and Eugene Y. K. Tso. Their work appears in journals such as Journal of Virology, Cancers, Journal of Medical Virology, JAMA Network Open and BMC Cancer.

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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