Donald Li
Impact in
- General Health Professions top 5%
- Healthcare professionals’ stress and burnout
- Primary Care and Health Outcomes
- Health, Nursing, Elderly Care
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- COVID-19 and Mental Health
Papers in
-
- Primary Care and Health Outcomes 3
- Healthcare professionals’ stress and burnout 1
- Global Health Care Issues 1
- Finance 4
- Healthcare Systems and Reforms 4
- Co-authors
- Amanda Howe (2 shared papers)Luke Allen (1 shared paper)Catherine Dunlop (1 shared paper)Florence K.Y. Wu (1 shared paper)María Pilar Astier-Peña (1 shared paper)Onikepe Owolabi (1 shared paper)Leiyu Shi (1 shared paper)Nan Yang (1 shared paper)
- Journals
- BJGP Open (1 paper)PLoS ONE (1 paper)British Journal of General Practice (1 paper)Bulletin of the World Health Organization (1 paper)Atención Primaria (1 paper)
- Partner nations
- United KingdomChinaHong Kong
In The Last Decade
Donald Li
8 papers receiving 341 citations
Peers
Comparison fields: 5 of 61
- General Health Professions 161
- Clinical Psychology 52
- Finance 26
- Modeling and Simulation 10
- Leadership and Management 2
Countries citing papers authored by Donald Li
This map shows the geographic impact of Donald Li'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 Donald Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Donald Li more than expected).
Fields of papers citing papers by Donald Li
This network shows the impact of papers produced by Donald Li. 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 Donald Li. The network helps show where Donald Li may publish in the future.
Co-authors
The 22 scholars most cited alongside Donald Li, 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 | 138 | |
| 2 | 2018 | 107 | |
| 3 | 2015 | 43 | |
| 4 | 2020 | 24 | |
| 5 | 2021 | 17 | |
| 6 | 2016 | 12 | |
| 7 | 2020 | 4 | |
| 8 | 2020 | 3 |
About Donald Li
Donald Li is a scholar working on General Health Professions, Finance, Emergency Medical Services, Pediatrics, Perinatology and Child Health and Economics and Econometrics, having authored 8 papers that have together received 348 indexed citations. Recurring topics across this work include Healthcare Systems and Reforms (4 papers), Primary Care and Health Outcomes (3 papers), Global Maternal and Child Health (2 papers), Disaster Response and Management (2 papers), Global Health Workforce Issues (2 papers), Healthcare professionals’ stress and burnout (1 paper), Global Health Care Issues (1 paper) and Healthcare Policy and Management (1 paper). The work is most often cited by research in General Health Professions (161 citations), Clinical Psychology (52 citations), Finance (26 citations), Modeling and Simulation (10 citations) and Leadership and Management (2 citations). Donald Li has collaborated with scholars based in United Kingdom, China and Hong Kong. Frequent co-authors include Amanda Howe, Luke Allen, Catherine Dunlop, Florence K.Y. Wu, María Pilar Astier-Peña, Onikepe Owolabi, Leiyu Shi, Nan Yang, Jin-Ling Tang and Xiaolin Wei. Their work appears in journals such as BJGP Open, PLoS ONE, British Journal of General Practice, Bulletin of the World Health Organization and Atención Primaria.
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.