Kwai Peng Chan

3.0k citations
32 papers · 2.4k indexed · h-index 17

Kwai Peng Chan

32 papers receiving 2.3k citations

Peers

Kwai Peng Chan
Comparison fields: 5 of 107
  • Infectious Diseases 1.5k
  • Agronomy and Crop Science 734
  • Cardiology and Cardiovascular Medicine 1.3k
  • Animal Science and Zoology 223
  • Modeling and Simulation 97
Replace Ai Ee Ling with:
Ai Ee Ling Singapore
Weidong Yin China
Heli Harvala United Kingdom
Ching‐Chuan Liu Taiwan
Shiing–Jer Twu Taiwan
Lianlian Bian China
Kai Chu China
Kiyoko Iwatsuki‐Horimoto Japan
Thomas Bourlet France
Ananda S Bandyopadhyay United States
Kwai Peng Chan relative to Ai Ee Ling Singapore Ai Ee Ling's profile →
Citations per field
00.5×1.5×2.2×
Ai Ee Ling · 1×
Citations per year

Countries citing papers authored by Kwai Peng Chan

Since Specialization
Citations

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

Fields of papers citing papers by Kwai Peng Chan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Kwai Peng Chan, 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 Kwai Peng Chan Line = papers co-authored together Kwai Peng Chan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20205
2 201921
3 20195
4 201810
5 201711
6 201518
7 20147
8 201212
9 20123
10 201027
11 20085
12 200519
13 2004102
14
Severe Acute Respiratory Syndrome
200442
15 200325
16 2003140
17 2003344
18 2003234
19 200221
20 199521

About Kwai Peng Chan

Kwai Peng Chan is a scholar working on Infectious Diseases, Hepatology, Epidemiology, Agronomy and Crop Science and Transplantation, having authored 32 papers that have together received 2.4k indexed citations. Recurring topics across this work include Viral gastroenteritis research and epidemiology (8 papers), Respiratory viral infections research (7 papers), Viral Infections and Immunology Research (6 papers), SARS-CoV-2 and COVID-19 Research (5 papers), Virology and Viral Diseases (4 papers), Animal Disease Management and Epidemiology (4 papers), Mosquito-borne diseases and control (3 papers) and COVID-19 Clinical Research Studies (3 papers). The work is most often cited by research in Infectious Diseases (1.5k citations), Agronomy and Crop Science (734 citations), Cardiology and Cardiovascular Medicine (1.3k citations), Animal Science and Zoology (223 citations) and Modeling and Simulation (97 citations). Kwai Peng Chan has collaborated with scholars based in Singapore, United States and Malaysia. Frequent co-authors include Kee Tai Goh, Ai Ee Ling, Chia Yin Chong, Gilbert Lau, David Perera, Mary Jane Cardosa, Peter C. McMinn, Lyn James, Li Wei Ang and Benjamin Koh. Their work appears in journals such as Emerging infectious diseases, Journal of Medical Virology, Human Vaccines & Immunotherapeutics, Environmental Health and Preventive Medicine and Zoonoses and Public Health.

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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