David S. Y. Ong
- Epidemiology top 2%
- Critical Care and Intensive Care Medicine top 0.2%
- Infectious Diseases top 2%
- Pulmonary and Respiratory Medicine top 5%
- Immunology top 10%
- Co-authors
- Olaf L. CremerPeter M. C. Klein KlouwenbergMarc J. M. BontenMarcus J. SchultzTom van der PollLonneke A. van VughtJanneke HornJos F. Frencken
- Topics
- Sepsis Diagnosis and Treatment (18 papers)SARS-CoV-2 and COVID-19 Research (15 papers)COVID-19 Clinical Research Studies (13 papers)
- Cited by
- Critical Care and Intensive Care MedicineApplied Microbiology and BiotechnologyEpidemiology
- Journals
- SHILAP Revista de lepidopterologíaBloodAmerican Journal of Respiratory and Critical Care Medicine
- Partner nations
- NetherlandsUnited StatesUnited Kingdom
In The Last Decade
David S. Y. Ong
85 papers receiving 2.9k citations
Peers
Comparison fields: 5 of 138
- Epidemiology 1.4k
- Critical Care and Intensive Care Medicine 879
- Infectious Diseases 564
- Pulmonary and Respiratory Medicine 557
- Immunology 324
Countries citing papers authored by David S. Y. Ong
This map shows the geographic impact of David S. Y. Ong'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 David S. Y. Ong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David S. Y. Ong more than expected).
Fields of papers citing papers by David S. Y. Ong
This network shows the impact of papers produced by David S. Y. Ong. 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 David S. Y. Ong. The network helps show where David S. Y. Ong may publish in the future.
Co-authorship network of co-authors of David S. Y. Ong
This figure shows the co-authorship network connecting the top 25 collaborators of David S. Y. Ong. A scholar is included among the top collaborators of David S. Y. Ong 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 David S. Y. Ong. David S. Y. Ong is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 11 | |
| 3 | 3 | |
| 4 | 50 | |
| 5 | 91 | |
| 6 | 18 | |
| 7 | 5 | |
| 8 | 15 | |
| 9 | 85 | |
| 10 | 17 | |
| 11 | 7 | |
| 12 | 22 | |
| 13 | 23 | |
| 14 | 164 | |
| 15 | 151 | |
| 16 | 32 | |
| 17 | 11 | |
| 18 | 51 | |
| 19 | 103 | |
| 20 | 80 |
About David S. Y. Ong
David S. Y. Ong is a scholar working on Critical Care and Intensive Care Medicine, Applied Microbiology and Biotechnology and Infectious Diseases, having authored 87 papers that have together received 3.0k indexed citations. Recurring topics across this work include Sepsis Diagnosis and Treatment (18 papers), SARS-CoV-2 and COVID-19 Research (15 papers) and COVID-19 Clinical Research Studies (13 papers). The work is most often cited by research in Critical Care and Intensive Care Medicine (879 citations), Applied Microbiology and Biotechnology (180 citations) and Epidemiology (1.4k citations). David S. Y. Ong has collaborated with scholars based in Netherlands, United States and United Kingdom. Frequent co-authors include Olaf L. Cremer, Peter M. C. Klein Klouwenberg, Marc J. M. Bonten, Marcus J. Schultz, Tom van der Poll, Lonneke A. van Vught, Janneke Horn, Jos F. Frencken, Lieuwe D. J. Bos and Brendon P. Scicluna. Their work appears in journals such as SHILAP Revista de lepidopterología, Blood and American Journal of Respiratory and Critical Care Medicine.
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.