Nhan Do

4.6k citations
87 papers · 1.3k · 1 hit paper · h-index 18

Impact in

Papers in

Nhan Do

74 papers receiving 1.3k citations

Nhan Do's Hit Papers

AI in Medical Imaging Informatics: Current Challenges and Future Directions 2020 · 383 citations
3830+2+4Years since publication100200300

Peers

Nhan Do
Comparison fields: 5 of 135
  • Health Informatics 77
  • Geriatrics and Gerontology 64
  • Health Information Management 79
  • Internal Medicine 28
  • Medical Terminology 2
Replace Julián Acosta with:
Julián Acosta United States
Robert Freeman United States
Vivian S. Gainer United States
Joseph E. Ebinger United States
Anna Carobene Italy
Hafeez Ul Hassan Virk United States
Peter G. Jacobs United States
Nathalie Conrad United Kingdom
Edgar Argulian United States
Milena Gianfrancesco United States
Nhan Do relative to Julián Acosta United States Julián Acosta's profile →
Citations per field
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Julián Acosta · 1×
Citations per year

Countries citing papers authored by Nhan Do

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Nhan Do Line = papers co-authored together Nhan Do links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 87 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 →
2020383
2 200180
3 202174
4 202069
5 202155
6 202139
7 201138
8 200736
9 202130
10 202230
11 202029
12 200729
13 200425
14 202223
15 202123
16
Implementation of RxNorm as a terminology mediation standard for exchanging pharmacy medication between federal agencies.
200623
17 202018
18 202118
19 202315
20 201515

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 87 papers that have together received 1.3k indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (8 papers), Radiomics and Machine Learning in Medical Imaging (8 papers), AI in cancer detection (7 papers), SARS-CoV-2 and COVID-19 Research (7 papers), Frailty in Older Adults (6 papers), Cutaneous Melanoma Detection and Management (5 papers), Venous Thromboembolism Diagnosis and Management (5 papers) and Cancer Immunotherapy and Biomarkers (5 papers). The work is most often cited by research in Health Informatics (77 citations), Geriatrics and Gerontology (64 citations), Health Information Management (79 citations), Internal Medicine (28 citations) and Medical Terminology (2 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, Andreas S. Panayides, Joel Saltz, Sotirios A. Tsaftaris, Tahsin Kurç, Ashish Sharma, Alistair A. Young and Amir A. Amini. Their work appears in journals such as Blood, Journal of Clinical Oncology, Blood Advances, JCO Clinical Cancer Informatics and JAMA Network Open.

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.

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