Chia-Yin Chong
- Epidemiology
- Infectious Diseases top 10%
- Cardiology and Cardiovascular Medicine
- Public Health, Environmental and Occupational Health
- Endocrinology top 10%
- Co-authors
- Kenneth ChanA E LingYoke Hwee ChanNatalie WH TanTsee Foong LohKoh Cheng ThoonYee‐Sin LeoSanchalika Acharyya
- Topics
- Pneumonia and Respiratory Infections (3 papers)Immunodeficiency and Autoimmune Disorders (3 papers)Bacterial Infections and Vaccines (3 papers)
- Partner nations
- SingaporeUnited KingdomRussia
In The Last Decade
Chia-Yin Chong
19 papers receiving 313 citations
Peers
Comparison fields: 5 of 66
- Epidemiology 134
- Infectious Diseases 128
- Cardiology and Cardiovascular Medicine 76
- Public Health, Environmental and Occupational Health 75
- Endocrinology 56
Countries citing papers authored by Chia-Yin Chong
This map shows the geographic impact of Chia-Yin Chong'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 Chia-Yin Chong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chia-Yin Chong more than expected).
Fields of papers citing papers by Chia-Yin Chong
This network shows the impact of papers produced by Chia-Yin Chong. 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 Chia-Yin Chong. The network helps show where Chia-Yin Chong may publish in the future.
Co-authorship network of co-authors of Chia-Yin Chong
This figure shows the co-authorship network connecting the top 25 collaborators of Chia-Yin Chong. A scholar is included among the top collaborators of Chia-Yin Chong 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 Chia-Yin Chong. Chia-Yin Chong is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 17 | |
| 3 | 14 | |
| 4 | 6 | |
| 5 | 31 | |
| 6 | 33 | |
| 7 | 15 | |
| 8 | 19 | |
| 9 | 11 | |
| 10 | 5 | |
| 11 | Reliability of acute illness dihydrorhodamine-123 testing for chronic granulomatous disease. | 6 |
| 12 | 29 | |
| 13 | Ecthyma gangrenosum: a manifestation of Pseudomonas sepsis in three paediatric patients. | 37 |
| 14 | 5 | |
| 15 | 78 | |
| 16 | Hydatidiform mole in Kandang Kerbau Hospital--a 5-year review. | 6 |
| 17 | 1 | |
| 18 | Infections in acute lymphoblastic leukaemia. | 3 |
| 19 | Complicated varicella zoster infection in 8 paediatric patients and review of literature. | 8 |
About Chia-Yin Chong
Chia-Yin Chong is a scholar working on Microbiology, Endocrinology and Infectious Diseases, having authored 19 papers that have together received 327 indexed citations. Recurring topics across this work include Pneumonia and Respiratory Infections (3 papers), Immunodeficiency and Autoimmune Disorders (3 papers) and Bacterial Infections and Vaccines (3 papers). The work is most often cited by research in Endocrinology (56 citations), Infectious Diseases (128 citations) and Microbiology (42 citations). Chia-Yin Chong has collaborated with scholars based in Singapore, United Kingdom and Russia. Frequent co-authors include Kenneth Chan, A E Ling, Yoke Hwee Chan, Natalie WH Tan, Tsee Foong Loh, Koh Cheng Thoon, Yee‐Sin Leo, Sanchalika Acharyya, Matthias Maiwald and Liat Hui Loo. Their work appears in journals such as The Journal of Infectious Diseases, Emerging infectious diseases and Vaccine.
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.