Nhan Do
Impact in
- Health Informatics top 1%
- Artificial Intelligence in Healthcare and Education
Papers in
- Oncology 23
- COVID-19 and healthcare impacts 6
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- AI in cancer detection 7
- Co-authors
- Nathanael R. Fillmore (63 shared papers)Mary T. Brophy (60 shared papers)Jennifer La (40 shared papers)Amir A. Amini (1 shared paper)Andreas S. Panayides (1 shared paper)Alistair A. Young (1 shared paper)David J. Foran (2 shared papers)Konstantina S. Nikita (1 shared paper)
- Journals
- Blood (7 papers)Journal of Clinical Oncology (7 papers)Blood Advances (5 papers)JAMA Network Open (4 papers)JCO Clinical Cancer Informatics (3 papers)
- Partner nations
- United StatesAustraliaUnited Kingdom
In The Last Decade
Nhan Do
73 papers receiving 1.2k citations
Nhan Do's Hit Papers
Peers
Comparison fields: 5 of 140
- Health Informatics 88
- Health Information Management 100
- Geriatrics and Gerontology 74
- Medical Terminology 4
- Infectious Diseases 180
Countries citing papers authored by Nhan Do
This map shows the geographic impact of Nhan 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 Nhan Do with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nhan Do more than expected).
Fields of papers citing papers by Nhan Do
This network shows the impact of papers produced by Nhan 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 Nhan Do. The network helps show where Nhan Do may publish in the future.
Co-authors
The 25 scholars most cited alongside Nhan 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
Showing the 20 most-cited of 85 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | AI in Medical Imaging Informatics: Current Challenges and Future Directions Hit paper breakdown → | 2020 | 361 |
| 2 | 2001 | 80 | |
| 3 | 2021 | 69 | |
| 4 | 2020 | 68 | |
| 5 | 2021 | 55 | |
| 6 | 2021 | 39 | |
| 7 | 2011 | 38 | |
| 8 | 2007 | 36 | |
| 9 | 2021 | 29 | |
| 10 | 2007 | 28 | |
| 11 | 2022 | 28 | |
| 12 | 2020 | 27 | |
| 13 | 2004 | 24 | |
| 14 | 2022 | 23 | |
| 15 | Implementation of RxNorm as a terminology mediation standard for exchanging pharmacy medication between federal agencies. | 2006 | 23 |
| 16 | 2021 | 20 | |
| 17 | 2020 | 18 | |
| 18 | 2021 | 18 | |
| 19 | 2015 | 15 | |
| 20 | 2022 | 14 |
About Nhan Do
Nhan Do is a scholar working on Oncology, Artificial Intelligence, Infectious Diseases, Pulmonary and Respiratory Medicine and Radiology, Nuclear Medicine and Imaging, having authored 85 papers that have together received 1.2k indexed citations. Recurring topics across this work include COVID-19 Clinical Research Studies (11 papers), SARS-CoV-2 and COVID-19 Research (9 papers), Radiomics and Machine Learning in Medical Imaging (8 papers), Multiple Myeloma Research and Treatments (7 papers), AI in cancer detection (7 papers), Frailty in Older Adults (7 papers), Biomedical Text Mining and Ontologies (6 papers) and COVID-19 and healthcare impacts (6 papers). The work is most often cited by research in Health Informatics (88 citations), Health Information Management (100 citations), Geriatrics and Gerontology (74 citations), Medical Terminology (4 citations) and Infectious Diseases (180 citations). Nhan Do has collaborated with scholars based in United States, Australia and United Kingdom. Frequent co-authors include Nathanael R. Fillmore, Mary T. Brophy, Jennifer La, Amir A. Amini, Andreas S. Panayides, Alistair A. Young, David J. Foran, Konstantina S. Nikita, Sotirios A. Tsaftaris and Spyretta Golemati. Their work appears in journals such as Blood, Journal of Clinical Oncology, Blood Advances, JAMA Network Open and JCO Clinical Cancer Informatics.
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.