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Researcher · VA Boston Healthcare System · United States

Nhan Do

Nhan Do publishes mostly in Oncology, Infectious Diseases and Artificial Intelligence, on topics such as Multiple Myeloma Research and Treatments, COVID-19 Clinical Research Studies and SARS-CoV-2 and COVID-19 Research.

ORCID 0000-0001-6868-7011 OpenAlex
World rank
#532,776
of 7,710,434 ranked researchers
Rank in United States
#184,615
of 1,627,098
Works
186
Citations
4.8k
Citations per work
25.6
h-index
27
i10-index 62Top 14% in Oncology
Nhan Do

What does Nhan Do research?

Nhan Do's work is mostly in Medicine (33%), Computer Science (6%).

Everything else: 112 works · 60.4% of their workHealth Sciences: 62 works · 33.1% of their workMedicine: 62 works · 33.1% of their workOncology: 17 works · 9.3% of their workInfectious Diseases: 14 works · 7.5% of their workHematology: 11 works · 5.9% of their workPulmonary and Respiratory Medicine: 10 works · 5.5% of their workEpidemiology: 9 works · 4.9% of their workPhysical Sciences: 12 works · 6.5% of their workComputer Science: 12 works · 6.5% of their workArtificial Intelligence: 12 works · 6.5% of their workTHEIR WORKNhan Do186works
Physical Sciences6%Health Sciences33%

Their six largest subfields, inside their fields and domains; the grey slice is everything else they publish. The interactive view splits every one of their works down to single topics.

The fields and subfields, with their numbers
  1. Everything else11260.4%
    1. Medicine6233.1%
    1. Computer Science126.5%
  1. 1Oncology9% of their works
  2. 2Infectious Diseases8% of their works
  3. 3Artificial Intelligence6% of their works
  4. 4Hematology6% of their works
  5. 5Pulmonary and Respiratory Medicine6% of their works
  6. 6Epidemiology5% of their works

Research topics

Which keywords describe Nhan Do's research?

The keywords of their largest research topics: ACE2 Receptor, SARS-CoV-2, Machine Learning, Diagnosis Criteria, International Myeloma Working Group, Clinical Characteristics, Epidemiology and Coronavirus.

Size is their works in the topics tagged with each word, from their 8 largest topics. Each links to the topic it comes from most. The words come from the keyword list OpenAlex gives each topic, not from the text of the papers, so a word can appear that none of the papers uses.

All 19 words, with their numbers
  1. ACE2 Receptor352 topics
  2. SARS-CoV-2352 topics
  3. Machine Learning272 topics
  4. Diagnosis Criteria211 topic
  5. International Myeloma Working Group211 topic
  6. Clinical Characteristics181 topic
  7. Epidemiology181 topic
  8. Coronavirus171 topic
  9. Vaccine171 topic
  10. Deep Learning141 topic
  11. Medical Image Analysis141 topic
  12. Medical Imaging131 topic
  13. Radiomics131 topic
  14. Antithrombotic Therapy111 topic
  15. Venous Thromboembolism111 topic
  16. Biomedical Ontologies101 topic
  17. Genetic Variation101 topic
  18. Genome-Wide Association101 topic
  19. Text Mining101 topic

Where does Nhan Do work?

Nhan Do's main affiliation in the publication record is VA Boston Healthcare System, United States.

How many publications and citations does Nhan Do have?

OpenAlex counts 186 works and 4,759 citations for Nhan Do, an h-index of 27, ranking #532,776 of 7,710,434 researchers worldwide on the quality score.

Ranked on field-normalised citation excellence (50%), output (30%) and citations (20%). Counts come from OpenAlex author records, which occasionally merge different people who share a name or split one person into several.

Other researchers named Nhan Do

Papers, co-authors, who cited this work and researchers on the nearest topics have tabs of their own, above. Is this your page? Claim it with your ORCID iD, or request a correction or removal.

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