Edward Kong
Impact in
- Modeling and Simulation top 5%
- COVID-19 epidemiological studies
- Economics and Econometrics top 10%
- COVID-19 Pandemic Impacts
- Healthcare Policy and Management
Papers in
-
- Healthcare Policy and Management 4
- Pharmaceutical Economics and Policy 2
- COVID-19 Pandemic Impacts 2
-
- Employment and Welfare Studies 2
- Healthcare cost, quality, practices 1
- Co-authors
- Dániel Prinz (2 shared papers)Yunan Ji (2 shared papers)Chang-Yeon Kim (1 shared paper)Mark Shepard (1 shared paper)Michael Leslie (1 shared paper)Daniel H. Wiznia (1 shared paper)Leemore Dafny (2 shared papers)George Loewenstein (1 shared paper)
- Journals
- Pediatric Research (1 paper)American Economic Journal Economic Policy (1 paper)Journal of Orthopaedic Trauma (1 paper)Health Services Research (1 paper)Behavior Genetics (1 paper)
- Partner nations
- United States
In The Last Decade
Edward Kong
11 papers receiving 163 citations
Peers
Comparison fields: 5 of 61
- Modeling and Simulation 45
- Economics and Econometrics 95
- Family Practice 5
- General Health Professions 46
- Transportation 7
Countries citing papers authored by Edward Kong
This map shows the geographic impact of Edward Kong'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 Edward Kong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Edward Kong more than expected).
Fields of papers citing papers by Edward Kong
This network shows the impact of papers produced by Edward Kong. 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 Edward Kong. The network helps show where Edward Kong may publish in the future.
Co-authors
The 25 scholars most cited alongside Edward Kong, 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 | 107 | |
| 2 | 2016 | 12 | |
| 3 | 2022 | 9 | |
| 4 | 2023 | 8 | |
| 5 | 2020 | 7 | |
| 6 | 2020 | 7 | |
| 7 | 2022 | 6 | |
| 8 | GWAS of educational attainment: phase 3-main results | 2017 | 2 |
| 9 | 2022 | 2 | |
| 10 | 1984 | 2 | |
| 11 | 2022 | 2 | |
| 12 | 2025 | 0 | |
| 13 | 2024 | 0 | |
| 14 | 2026 | 0 |
About Edward Kong
Edward Kong is a scholar working on Economics and Econometrics, General Health Professions, Pharmacology, Modeling and Simulation and Communication, having authored 14 papers that have together received 164 indexed citations. Recurring topics across this work include Healthcare Policy and Management (4 papers), Pharmaceutical industry and healthcare (2 papers), COVID-19 epidemiological studies (2 papers), Employment and Welfare Studies (2 papers), Pharmaceutical Economics and Policy (2 papers), COVID-19 Pandemic Impacts (2 papers), Healthcare cost, quality, practices (1 paper) and Respiratory Support and Mechanisms (1 paper). The work is most often cited by research in Modeling and Simulation (45 citations), Economics and Econometrics (95 citations), Family Practice (5 citations), General Health Professions (46 citations) and Transportation (7 citations). Edward Kong has collaborated with scholars based in United States. Frequent co-authors include Dániel Prinz, Yunan Ji, Chang-Yeon Kim, Mark Shepard, Michael Leslie, Daniel H. Wiznia, Leemore Dafny, George Loewenstein, James J. Choi and John Beshears. Their work appears in journals such as Pediatric Research, American Economic Journal Economic Policy, Journal of Orthopaedic Trauma, Health Services Research and Behavior Genetics.
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.