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Researcher · AstraZeneca (Sweden) · Sweden

Ola Engkvist

Ola Engkvist publishes mostly in Computational Theory and Mathematics, Molecular Biology and Materials Chemistry, on topics such as Computational Drug Discovery Methods, Machine Learning in Materials Science and Protein Structure and Dynamics.

ORCID 0000-0003-4970-6461 OpenAlex
World rank
#52,977
of 7,710,434 ranked researchers
Rank in Sweden
#409
of 71,437
Works
440
Citations
17k
Citations per work
37.8
h-index
58
i10-index 179Top 0.5% in Computational Theory and Mathematics
Ola Engkvist

What does Ola Engkvist research?

Ola Engkvist's work is mostly in Computer Science (29%), Biochemistry, Genetics and Molecular Biology (21%), Materials Science (17%).

Physical Sciences: 229 works · 52.1% of their workComputer Science: 128 works · 29.2% of their workComputational Theory and Mathematics: 115 works · 26.2% of their workArtificial Intelligence: 13 works · 3.0% of their workMaterials Science: 75 works · 17.1% of their workMaterials Chemistry: 75 works · 17.1% of their workEngineering: 13 works · 2.9% of their workBiomedical Engineering: 13 works · 2.9% of their workPhysics and Astronomy: 13 works · 2.9% of their workAtomic and Molecular Physics, and Optics: 13 works · 2.9% of their workEverything else: 119 works · 27.0% of their workLife Sciences: 92 works · 20.9% of their workBiochemistry, Genetics and Molecular Biology: 92 works · 20.9% of their workMolecular Biology: 92 works · 20.9% of their workTHEIR WORKOla Engkvist440works
Life Sciences21%Physical Sciences52%

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. Computer Science12829.2%
    2. Materials Science7517.1%
    3. Engineering132.9%
    4. Physics and Astronomy132.9%
  2. Everything else11927.0%
    1. Biochemistry, Genetics and Molecular Biology9220.9%
  1. 1Computational Theory and Mathematics26% of their works
  2. 2Molecular Biology21% of their works
  3. 3Materials Chemistry17% of their works
  4. 4Artificial Intelligence3% of their works
  5. 5Atomic and Molecular Physics, and Optics3% of their works
  6. 6Biomedical Engineering3% of their works

Research topics

Which keywords describe Ola Engkvist's research?

The keywords of their largest research topics: Machine Learning, Medicinal Chemistry, Pharmacokinetics, Molecular Docking, Virtual Screening, Molecular Dynamics, High-Throughput and Materials Informatics.

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.

All 20 words, with their numbers
  1. Machine Learning4842 topics
  2. Medicinal Chemistry3192 topics
  3. Pharmacokinetics3112 topics
  4. Molecular Docking2921 topic
  5. Virtual Screening2921 topic
  6. Molecular Dynamics2492 topics
  7. High-Throughput1921 topic
  8. Materials Informatics1921 topic
  9. Protein571 topic
  10. Structure571 topic
  11. Drug Discovery471 topic
  12. Peptide Synthesis471 topic
  13. Solvent Selection271 topic
  14. Sustainable Chemistry271 topic
  15. Chiral Separation251 topic
  16. Liquid Chromatography251 topic
  17. Droplet Formation231 topic
  18. Microfluidics231 topic
  19. Cytochrome P450191 topic
  20. Pharmacogenetics191 topic

Where does Ola Engkvist work?

Ola Engkvist's main affiliation in the publication record is AstraZeneca (Sweden), Sweden.

How many publications and citations does Ola Engkvist have?

OpenAlex counts 440 works and 16,651 citations for Ola Engkvist, an h-index of 58, ranking #52,977 of 7,710,434 researchers worldwide on the quality score.

Ranked on field-normalised 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.

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