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Researcher · SUNY Korea · South Korea

Lee Sael

Lee Sael publishes mostly in Molecular Biology, Artificial Intelligence and Materials Chemistry, on topics such as Protein Structure and Dynamics, Machine Learning in Bioinformatics and Computational Drug Discovery Methods.

ORCID 0000-0002-9066-5756 OpenAlex
World rank
#1,193,433
of 7,710,434 ranked researchers
Rank in South Korea
#12,330
of 162,609
Works
96
Citations
1.9k
Citations per work
20.2
h-index
24
i10-index 38Top 24% in Molecular Biology
Lee Sael

What does Lee Sael research?

Lee Sael's work is mostly in Biochemistry, Genetics and Molecular Biology (39%), Computer Science (22%), Materials Science (6%).

Life Sciences: 37 works · 39.0% of their workBiochemistry, Genetics and Molecular Biology: 37 works · 39.0% of their workMolecular Biology: 37 works · 39.0% of their workPhysical Sciences: 31 works · 32.6% of their workComputer Science: 21 works · 22.0% of their workArtificial Intelligence: 12 works · 12.6% of their workComputational Theory and Mathematics: 5 works · 5.3% of their workComputer Vision and Pattern Recognition: 4 works · 4.1% of their workMaterials Science: 5 works · 5.7% of their workMaterials Chemistry: 5 works · 5.7% of their workMathematics: 5 works · 4.9% of their workComputational Mathematics: 5 works · 4.9% of their workEverything else: 27 works · 28.4% of their workTHEIR WORKLee Sael96works
Life Sciences39%Physical 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. Biochemistry, Genetics and Molecular Biology3739.0%
    1. Computer Science2122.0%
    2. Materials Science55.7%
    3. Mathematics54.9%
  3. Everything else2728.4%
  1. 1Molecular Biology39% of their works
  2. 2Artificial Intelligence13% of their works
  3. 3Materials Chemistry6% of their works
  4. 4Computational Theory and Mathematics5% of their works
  5. 5Computational Mathematics5% of their works
  6. 6Computer Vision and Pattern Recognition4% of their works

Research topics

Which keywords describe Lee Sael's research?

The keywords of their largest research topics: Machine Learning, Prediction, Protein, Bioinformatics, Molecular Dynamics, Structure, Amino Acid Composition and Subcellular Localization.

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 20 words, with their numbers
  1. Machine Learning554 topics
  2. Prediction432 topics
  3. Protein432 topics
  4. Bioinformatics302 topics
  5. Molecular Dynamics251 topic
  6. Structure251 topic
  7. Amino Acid Composition181 topic
  8. Subcellular Localization181 topic
  9. Molecular Docking131 topic
  10. Virtual Screening131 topic
  11. Gene Expression121 topic
  12. Gene Set Enrichment Analysis121 topic
  13. Macromolecular Crystallography121 topic
  14. Microarray121 topic
  15. Multilinear Algebra121 topic
  16. Protein-Protein Interaction Networks121 topic
  17. Structure Solution121 topic
  18. Tensor Decomposition121 topic
  19. RNA-Seq61 topic
  20. sequence alignment61 topic

Where does Lee Sael work?

Lee Sael's main affiliation in the publication record is SUNY Korea, South Korea.

How many publications and citations does Lee Sael have?

OpenAlex counts 96 works and 1,941 citations for Lee Sael, an h-index of 24, ranking #1,193,433 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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