David Ting
Impact in
- Health Informatics top 10%
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- Electronic Health Records Systems
Papers in ⓘ
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- Electronic Health Records Systems 8
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- Primary Care and Health Outcomes 3
- Mobile Health and mHealth Applications 1
- Patient Satisfaction in Healthcare 1
- Co-authors
- Stuart R. Lipsitz (8 shared papers)John B. Herman (1 shared paper)Timothy G. Ferris (1 shared paper)Marcela G. del Carmen (1 shared paper)Sara R. Lehrhoff (1 shared paper)Sandhya K. Rao (1 shared paper)Michael K. Hidrue (1 shared paper)Srinivas Emani (4 shared papers)
- Journals
- JAMA Network Open (3 papers)Applied Clinical Informatics (3 papers)Journal of General Internal Medicine (2 papers)Patient Education and Counseling (1 paper)npj Digital Medicine (1 paper)
- Partner nations
- United StatesBrazil
In The Last Decade
David Ting
16 papers receiving 277 citations
Peers
Comparison fields: 5 of 70
- Health Informatics 19
- Health Information Management 63
- General Health Professions 169
- Family Practice 14
- Gender Studies 43
Countries citing papers authored by David Ting
This map shows the geographic impact of David Ting'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 Ting with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Ting more than expected).
Fields of papers citing papers by David Ting
This network shows the impact of papers produced by David Ting. 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 Ting. The network helps show where David Ting may publish in the future.
Co-authors
The 25 scholars most cited alongside David Ting, 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 | 2019 | 122 | |
| 2 | 2022 | 30 | |
| 3 | 2024 | 24 | |
| 4 | 2014 | 23 | |
| 5 | 2016 | 22 | |
| 6 | 2017 | 16 | |
| 7 | 2015 | 11 | |
| 8 | 2020 | 10 | |
| 9 | 2009 | 9 | |
| 10 | 2011 | 6 | |
| 11 | 2023 | 3 | |
| 12 | 2006 | 3 | |
| 13 | 2005 | 2 | |
| 14 | 2011 | 2 | |
| 15 | 2025 | 1 | |
| 16 | 2007 | 1 | |
| 17 | 2025 | 0 |
About David Ting
David Ting is a scholar working on Health Information Management, General Health Professions, Public Health, Environmental and Occupational Health, Organizational Behavior and Human Resource Management and Economics and Econometrics, having authored 17 papers that have together received 285 indexed citations. Recurring topics across this work include Electronic Health Records Systems (8 papers), Healthcare Systems and Technology (5 papers), Primary Care and Health Outcomes (3 papers), Telemedicine and Telehealth Implementation (2 papers), Healthcare Policy and Management (2 papers), Innovations in Medical Education (1 paper), Mobile Health and mHealth Applications (1 paper) and Patient Satisfaction in Healthcare (1 paper). The work is most often cited by research in Health Informatics (19 citations), Health Information Management (63 citations), General Health Professions (169 citations), Family Practice (14 citations) and Gender Studies (43 citations). David Ting has collaborated with scholars based in United States and Brazil. Frequent co-authors include Stuart R. Lipsitz, John B. Herman, Timothy G. Ferris, Marcela G. del Carmen, Sara R. Lehrhoff, Sandhya K. Rao, Michael K. Hidrue, Srinivas Emani, David W. Bates and Lisa S. Rotenstein. Their work appears in journals such as JAMA Network Open, Applied Clinical Informatics, Journal of General Internal Medicine, Patient Education and Counseling and npj Digital 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.