Eric S. Hon
Impact in
- General Dentistry top 1%
- Dental Research and COVID-19
- Health Informatics top 10%
Papers in
-
- Dental Research and COVID-19 2
- Co-authors
- Man Hung (16 shared papers)Martin S. Lipsky (12 shared papers)Evelyn Lauren (7 shared papers)Sharon Su (7 shared papers)Wendy C. Birmingham (2 shared papers)Julie Xu (5 shared papers)Shirley D. Hon (1 shared paper)Frank W. Licari (6 shared papers)
- Journals
- PLoS ONE (2 papers)International Journal of Environmental Research and Public Health (1 paper)Journal of Personalized Medicine (1 paper)World Journal of Clinical Oncology (1 paper)Journal of Medical Internet Research (1 paper)
- Partner nations
- United StatesJordan
In The Last Decade
Eric S. Hon
15 papers receiving 467 citations
Peers
Comparison fields: 5 of 93
- General Dentistry 95
- Health Informatics 15
- Periodontics 41
- Health 29
- Modeling and Simulation 13
Countries citing papers authored by Eric S. Hon
This map shows the geographic impact of Eric S. Hon'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 Eric S. Hon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eric S. Hon more than expected).
Fields of papers citing papers by Eric S. Hon
This network shows the impact of papers produced by Eric S. Hon. 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 Eric S. Hon. The network helps show where Eric S. Hon may publish in the future.
Co-authors
The 23 scholars most cited alongside Eric S. Hon, 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 | 2020 | 176 | |
| 2 | 2020 | 132 | |
| 3 | 2023 | 30 | |
| 4 | 2020 | 25 | |
| 5 | 2021 | 19 | |
| 6 | 2022 | 19 | |
| 7 | 2020 | 17 | |
| 8 | 2020 | 17 | |
| 9 | 2022 | 13 | |
| 10 | 2020 | 12 | |
| 11 | 2021 | 6 | |
| 12 | 2020 | 5 | |
| 13 | 2022 | 3 | |
| 14 | 2020 | 3 | |
| 15 | 2021 | 2 | |
| 16 | 2025 | 0 |
About Eric S. Hon
Eric S. Hon is a scholar working on Cardiology and Cardiovascular Medicine, General Dentistry, Oncology, Epidemiology and Physiology, having authored 16 papers that have together received 479 indexed citations. Recurring topics across this work include Dental Research and COVID-19 (2 papers), Smoking Behavior and Cessation (2 papers), Head and Neck Cancer Studies (1 paper), Patient Satisfaction in Healthcare (1 paper), Cutaneous Melanoma Detection and Management (1 paper), Statistical Methods in Clinical Trials (1 paper), Global Cancer Incidence and Screening (1 paper) and Dental Health and Care Utilization (1 paper). The work is most often cited by research in General Dentistry (95 citations), Health Informatics (15 citations), Periodontics (41 citations), Health (29 citations) and Modeling and Simulation (13 citations). Eric S. Hon has collaborated with scholars based in United States and Jordan. Frequent co-authors include Man Hung, Martin S. Lipsky, Evelyn Lauren, Sharon Su, Wendy C. Birmingham, Julie Xu, Shirley D. Hon, Frank W. Licari, Tyler C. Graff and William Carroll. Their work appears in journals such as PLoS ONE, International Journal of Environmental Research and Public Health, Journal of Personalized Medicine, World Journal of Clinical Oncology and Journal of Medical Internet Research.
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.