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Researcher · Ghent University · Belgium

Yvan Saeys

Yvan Saeys publishes mostly in Molecular Biology, Immunology and Artificial Intelligence, on topics such as Single-cell and spatial transcriptomics, Cell Image Analysis Techniques and Gene expression and cancer classification.

ORCID 0000-0002-0415-1506 OpenAlex
World rank
#65,173
of 7,710,434 ranked researchers
Rank in Belgium
#345
of 67,186
Works
496
Citations
41k
Citations per work
82.6
h-index
83
i10-index 203Top 0.6% in Molecular Biology
Yvan Saeys

What does Yvan Saeys research?

Yvan Saeys's work is mostly in Biochemistry, Genetics and Molecular Biology (42%), Computer Science (14%), Immunology and Microbiology (12%).

Life Sciences: 270 works · 54.5% of their workBiochemistry, Genetics and Molecular Biology: 208 works · 42.0% of their workMolecular Biology: 182 works · 36.6% of their workBiophysics: 27 works · 5.4% of their workImmunology and Microbiology: 62 works · 12.5% of their workImmunology: 62 works · 12.5% of their workEverything else: 158 works · 31.8% of their workPhysical Sciences: 68 works · 13.7% of their workComputer Science: 68 works · 13.7% of their workArtificial Intelligence: 41 works · 8.3% of their workComputer Vision and Pattern Recognition: 14 works · 2.9% of their workComputational Theory and Mathematics: 12 works · 2.5% of their workTHEIR WORKYvan Saeys496works
Life Sciences54%Physical Sciences14%

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. Biochemistry, Genetics and Molecular Biology20842.0%
    2. Immunology and Microbiology6212.5%
  2. Everything else15831.8%
    1. Computer Science6813.7%
  1. 1Molecular Biology37% of their works
  2. 2Immunology12% of their works
  3. 3Artificial Intelligence8% of their works
  4. 4Biophysics5% of their works
  5. 5Computer Vision and Pattern Recognition3% of their works
  6. 6Computational Theory and Mathematics2% of their works

Research topics

Which keywords describe Yvan Saeys's research?

The keywords of their largest research topics: Gene Expression, Machine Learning, Single-Cell, Transcriptomics, Bioinformatics, Bioimage Analysis, High-Content Screening and Data Analysis.

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. Gene Expression1472 topics
  2. Machine Learning1323 topics
  3. Single-Cell1041 topic
  4. Transcriptomics1041 topic
  5. Bioinformatics762 topics
  6. Bioimage Analysis561 topic
  7. High-Content Screening561 topic
  8. Data Analysis431 topic
  9. Microarray431 topic
  10. Gene Set Enrichment Analysis361 topic
  11. Protein-Protein Interaction Networks361 topic
  12. Protein331 topic
  13. Subcellular Localization331 topic
  14. NK Cell Recognition321 topic
  15. Natural Killer Cells321 topic
  16. Foxp3291 topic
  17. TGF-ß291 topic
  18. Gene Regulatory Networks281 topic
  19. Stochastic Gene Expression281 topic

Where does Yvan Saeys work?

Yvan Saeys's main affiliation in the publication record is Ghent University, Belgium.

How many publications and citations does Yvan Saeys have?

OpenAlex counts 496 works and 40,956 citations for Yvan Saeys, an h-index of 83, ranking #65,173 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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