David Do
Impact in
- Neurology top 10%
- Long-Term Effects of COVID-19
Papers in
-
- Telemedicine and Telehealth Implementation 2
- Opioid Use Disorder Treatment 2
-
- Long-Term Effects of COVID-19 2
- Co-authors
- Clifford R. Jack (1 shared paper)Majid Fotuhi (1 shared paper)Brett Cucchiara (3 shared papers)Aaron Rothstein (1 shared paper)Steven R. Messé (2 shared papers)Rachael L. French (1 shared paper)James E. Siegler (1 shared paper)John Woo (1 shared paper)
- Journals
- Multiple Sclerosis and Related Disorders (3 papers)Telemedicine Journal and e-Health (2 papers)Journal of Stroke and Cerebrovascular Diseases (2 papers)JCO Clinical Cancer Informatics (1 paper)JAMA Cardiology (1 paper)
- Partner nations
- United States
In The Last Decade
David Do
19 papers receiving 523 citations
Peers
Comparison fields: 5 of 94
- Neurology 127
- Neurology 59
- Developmental Neuroscience 29
- Psychiatry and Mental health 102
- Biological Psychiatry 13
Countries citing papers authored by David Do
This map shows the geographic impact of David Do'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 Do with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Do more than expected).
Fields of papers citing papers by David Do
This network shows the impact of papers produced by David Do. 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 Do. The network helps show where David Do may publish in the future.
Co-authors
The 25 scholars most cited alongside David Do, 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 | 2012 | 252 | |
| 2 | 2020 | 105 | |
| 3 | 2014 | 37 | |
| 4 | 2019 | 29 | |
| 5 | 2022 | 25 | |
| 6 | 2019 | 18 | |
| 7 | 2021 | 13 | |
| 8 | 2012 | 11 | |
| 9 | 2020 | 9 | |
| 10 | 2020 | 8 | |
| 11 | 2020 | 6 | |
| 12 | 2020 | 4 | |
| 13 | 2019 | 3 | |
| 14 | 2019 | 2 | |
| 15 | 2021 | 2 | |
| 16 | 2021 | 1 | |
| 17 | 2024 | 1 | |
| 18 | 2021 | 1 | |
| 19 | The impact of Task-Technology Fit on user performance within an Applicant Tracking Software : A qualitative study on the Bullhorn system | 2018 | 1 |
| 20 | 2025 | 1 |
About David Do
David Do is a scholar working on Public Health, Environmental and Occupational Health, Neurology, Surgery, Oncology and Epidemiology, having authored 20 papers that have together received 529 indexed citations. Recurring topics across this work include Acute Ischemic Stroke Management (3 papers), Long-Term Effects of COVID-19 (2 papers), Telemedicine and Telehealth Implementation (2 papers), Opioid Use Disorder Treatment (2 papers), Intensive Care Unit Cognitive Disorders (2 papers), Healthcare Systems and Technology (2 papers), COVID-19 and healthcare impacts (2 papers) and Spine and Intervertebral Disc Pathology (1 paper). The work is most often cited by research in Neurology (127 citations), Neurology (59 citations), Developmental Neuroscience (29 citations), Psychiatry and Mental health (102 citations) and Biological Psychiatry (13 citations). David Do has collaborated with scholars based in United States. Frequent co-authors include Clifford R. Jack, Majid Fotuhi, Brett Cucchiara, Aaron Rothstein, Steven R. Messé, Rachael L. French, James E. Siegler, John Woo, Jesse Thon and Meredith Spindler. Their work appears in journals such as Multiple Sclerosis and Related Disorders, Telemedicine Journal and e-Health, Journal of Stroke and Cerebrovascular Diseases, JCO Clinical Cancer Informatics and JAMA Cardiology.
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.