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Researcher · Stanford University · United States

Roxana Daneshjou

Roxana Daneshjou publishes mostly in Artificial Intelligence, Health Informatics and Oncology, on topics such as Artificial Intelligence in Healthcare and Education, Cutaneous Melanoma Detection and Management and AI in cancer detection.

ORCID 0000-0001-7988-9356 OpenAlex
World rank
#150,369
of 7,710,434 ranked researchers
Rank in United States
#56,686
of 1,627,098
Works
172
Citations
7.1k
Citations per work
41.0
h-index
35
i10-index 71Top 3.1% in Artificial Intelligence
Roxana Daneshjou

What does Roxana Daneshjou research?

Roxana Daneshjou's work is mostly in Medicine (37%), Computer Science (18%), Biochemistry, Genetics and Molecular Biology (4%).

Everything else: 68 works · 39.7% of their workHealth Sciences: 64 works · 37.4% of their workMedicine: 64 works · 37.4% of their workHealth Informatics: 26 works · 15.0% of their workOncology: 21 works · 12.2% of their workPublic Health, Environmental and Occupational Health: 9 works · 5.4% of their workRadiology, Nuclear Medicine and Imaging: 8 works · 4.8% of their workPhysical Sciences: 32 works · 18.4% of their workComputer Science: 32 works · 18.4% of their workArtificial Intelligence: 32 works · 18.4% of their workLife Sciences: 8 works · 4.5% of their workBiochemistry, Genetics and Molecular Biology: 8 works · 4.5% of their workGenetics: 8 works · 4.5% of their workTHEIR WORKRoxana Daneshjou172works
Life Sciences4%Physical Sciences18%Health Sciences37%

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 else6839.7%
    1. Medicine6437.4%
    1. Computer Science3218.4%
    1. Biochemistry, Genetics and Molecular Biology84.5%
  1. 1Artificial Intelligence18% of their works
  2. 2Health Informatics15% of their works
  3. 3Oncology12% of their works
  4. 4Public Health, Environmental and Occupational Health5% of their works
  5. 5Radiology, Nuclear Medicine and Imaging5% of their works
  6. 6Genetics4% of their works

Research topics

Which keywords describe Roxana Daneshjou's research?

The keywords of their largest research topics: Machine Learning, Deep Learning, Precision Medicine, Healthcare, Medical Imaging, Artificial Intelligence, Clinical Decision Support and Dermoscopy.

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 23 words, with their numbers
  1. Machine Learning1123 topics
  2. Deep Learning1013 topics
  3. Precision Medicine1013 topics
  4. Healthcare872 topics
  5. Medical Imaging802 topics
  6. Artificial Intelligence661 topic
  7. Clinical Decision Support661 topic
  8. Dermoscopy481 topic
  9. Melanoma481 topic
  10. Predictive Modeling352 topics
  11. Histopathology Images321 topic
  12. Medical Image Analysis321 topic
  13. Genetic Variation232 topics
  14. Electronic Health Records211 topic
  15. Patient Similarity211 topic
  16. Quantitative Analysis141 topic
  17. Radiomics141 topic
  18. Neural Networks131 topic
  19. Word Representation131 topic
  20. Genome-Wide Association121 topic
  21. Haplotype Mapping121 topic
  22. Cytochrome P450111 topic
  23. Pharmacogenetics111 topic

Where does Roxana Daneshjou work?

Roxana Daneshjou's main affiliation in the publication record is Stanford University, United States.

How many publications and citations does Roxana Daneshjou have?

OpenAlex counts 172 works and 7,060 citations for Roxana Daneshjou, an h-index of 35, ranking #150,369 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.

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.

Discussion

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