Daniel Do
Impact in
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- Cardiovascular Effects of Exercise
- Cardiovascular Function and Risk Factors
- Acute Myocardial Infarction Research
- Heart Rate Variability and Autonomic Control
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- Cardiac Imaging and Diagnostics
Papers in
- Surgery 4
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- Single-cell and spatial transcriptomics 2
- Pluripotent Stem Cells Research 2
- Co-authors
- Victor F. Froelicher (2 shared papers)Steven Goldman (1 shared paper)Jonathan Myers (1 shared paper)Ralph Shabetai (1 shared paper)Kenneth G. Lehmann (1 shared paper)R. L. Thomas (1 shared paper)Philip W. Lavori (1 shared paper)Jeffrey Froning (1 shared paper)
- Journals
- PLoS ONE (2 papers)HPB Surgery (1 paper)Annals of Internal Medicine (1 paper)EBioMedicine (1 paper)American Journal of Roentgenology (1 paper)
- Partner nations
- United StatesAustraliaSouth Korea
In The Last Decade
Daniel Do
13 papers receiving 214 citations
Peers
Comparison fields: 5 of 46
- Cardiology and Cardiovascular Medicine 110
- Radiology, Nuclear Medicine and Imaging 80
- Complementary and alternative medicine 27
- Endocrinology, Diabetes and Metabolism 29
- Cell Biology 24
Countries citing papers authored by Daniel Do
This map shows the geographic impact of Daniel 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 Daniel Do with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Do more than expected).
Fields of papers citing papers by Daniel Do
This network shows the impact of papers produced by Daniel 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 Daniel Do. The network helps show where Daniel Do may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel 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 | 1998 | 126 | |
| 2 | 2010 | 30 | |
| 3 | 2019 | 18 | |
| 4 | 2020 | 16 | |
| 5 | 2001 | 9 | |
| 6 | 2018 | 8 | |
| 7 | 2023 | 5 | |
| 8 | 2023 | 3 | |
| 9 | 2023 | 3 | |
| 10 | 2024 | 2 | |
| 11 | Littoral cell angioma: review of the literature and case report. | 2014 | 2 |
| 12 | 2025 | 1 | |
| 13 | 2020 | 1 | |
| 14 | 2023 | 0 |
About Daniel Do
Daniel Do is a scholar working on Surgery, Molecular Biology, Pulmonary and Respiratory Medicine, Complementary and alternative medicine and Cell Biology, having authored 14 papers that have together received 224 indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (2 papers), Zebrafish Biomedical Research Applications (2 papers), Pluripotent Stem Cells Research (2 papers), Cardiovascular and exercise physiology (2 papers), Invertebrate Immune Response Mechanisms (1 paper), Colorectal Cancer Treatments and Studies (1 paper), Community Health and Development (1 paper) and Breast Cancer Treatment Studies (1 paper). The work is most often cited by research in Cardiology and Cardiovascular Medicine (110 citations), Radiology, Nuclear Medicine and Imaging (80 citations), Complementary and alternative medicine (27 citations), Endocrinology, Diabetes and Metabolism (29 citations) and Cell Biology (24 citations). Daniel Do has collaborated with scholars based in United States, Australia and South Korea. Frequent co-authors include Victor F. Froelicher, Steven Goldman, Jonathan Myers, Ralph Shabetai, Kenneth G. Lehmann, R. L. Thomas, Philip W. Lavori, Jeffrey Froning, Douglas J. Morrison and C Dennis. Their work appears in journals such as PLoS ONE, HPB Surgery, Annals of Internal Medicine, EBioMedicine and American Journal of Roentgenology.
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.