Samuel Ong
Impact in
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- Antibiotic Use and Resistance
- Parasitology top 10%
- Parasites and Host Interactions
Papers in
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- Tuberculosis Research and Epidemiology 2
- Viral Infections and Outbreaks Research 2
- Antimicrobial Resistance in Staphylococcus 1
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- Pneumonia and Respiratory Infections 2
- Co-authors
- David A. Talan (9 shared papers)Gregory J. Moran (8 shared papers)Janet Nakase (5 shared papers)Matthew J. Kuehnert (3 shared papers)David J. Karras (2 shared papers)Robert W. Pinner (5 shared papers)William R. Mower (4 shared papers)William R. Jarvis (4 shared papers)
- Journals
- Annals of Emergency Medicine (4 papers)Clinical Infectious Diseases (2 papers)Emerging infectious diseases (1 paper)Academic Emergency Medicine (1 paper)Western Journal of Emergency Medicine (1 paper)
- Partner nations
- United States
In The Last Decade
Samuel Ong
9 papers receiving 401 citations
Peers
Comparison fields: 5 of 74
- Applied Microbiology and Biotechnology 117
- Parasitology 46
- Infectious Diseases 111
- Emergency Medicine 57
- Endocrinology 24
Countries citing papers authored by Samuel Ong
This map shows the geographic impact of Samuel 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 Samuel Ong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Samuel Ong more than expected).
Fields of papers citing papers by Samuel Ong
This network shows the impact of papers produced by Samuel 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 Samuel Ong. The network helps show where Samuel Ong may publish in the future.
Co-authors
The 16 scholars most cited alongside Samuel Ong, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 147 | |
| 2 | 2002 | 98 | |
| 3 | 1998 | 59 | |
| 4 | 2001 | 35 | |
| 5 | 2003 | 33 | |
| 6 | 2008 | 20 | |
| 7 | 2007 | 10 | |
| 8 | 2011 | 9 | |
| 9 | 1999 | 7 |
About Samuel Ong
Samuel Ong is a scholar working on Infectious Diseases, Epidemiology, Surgery, General Health Professions and Virology, having authored 9 papers that have together received 418 indexed citations. Recurring topics across this work include Rabies epidemiology and control (2 papers), Patient Satisfaction in Healthcare (2 papers), Pneumonia and Respiratory Infections (2 papers), Tuberculosis Research and Epidemiology (2 papers), Viral Infections and Outbreaks Research (2 papers), Antibiotic Use and Resistance (2 papers), Surgical Sutures and Adhesives (1 paper) and Antimicrobial Resistance in Staphylococcus (1 paper). The work is most often cited by research in Applied Microbiology and Biotechnology (117 citations), Parasitology (46 citations), Infectious Diseases (111 citations), Emergency Medicine (57 citations) and Endocrinology (24 citations). Samuel Ong has collaborated with scholars based in United States. Frequent co-authors include David A. Talan, Gregory J. Moran, Janet Nakase, Matthew J. Kuehnert, David J. Karras, Robert W. Pinner, William R. Mower, William R. Jarvis, Victor C. W. Tsang and Laurence Slutsker. Their work appears in journals such as Annals of Emergency Medicine, Clinical Infectious Diseases, Emerging infectious diseases, Academic Emergency Medicine and Western Journal of Emergency 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.